AI Daily Brief
Media Entertainment
Latest Intelligence
The latest AI stories, analysis and developments relevant to Media Entertainment — curated daily by Best Practice AI.
Use Casesfor Media Entertainment
200 articles
PlayStation sees AI as a 'powerful tool' to help make games
Sony is integrating AI into its development pipeline, viewing the technology as a powerful tool to assist in game creation.
TikTok scales back AI-generated video descriptions after absurd errors
While only rolled out to some users, the feature's bizarre AI-generated descriptions were shared widely.
London’s Kohort raises €6 million Series A to build AI user acquisition agents for mobile game studios
Kohort, a London-based mobile gaming analytics, forecasting, and UA optimisation company, has closed its €5.9 million ($7 million) Series A funding round to build user acquisition (UA) agents for mobile game studios. The round was led by The Raine Group (Raine), a New York-based global merchant bank with an integrated focus on both advisory and […]
‘Being human helps’: despite rise of AI is there still hope for Europe’s translators?
A booming tech sector has disrupted translation jobs in publishing – but they could be needed for a while longer yet In February 2022, while he was plugging away at rendering the US writer Dana Spiotta’s novel Wayward into French, the literary translator Yoann Gentric decided he needed a bit of light relief. He would test whether AI could put him out of work. Gentric had been grappling with a short non-verbal sentence that described the book’s protagonist’s feelings upon opening a window: “Bright, sharp night air, bracing.” He put the prompt into DeepL, a neural-network-powered machine translation engine that regularly outperforms Google Translate in accuracy assessments. Continue reading...
Advertising’s First Female CEO Isn’t Afraid to Fail
Cindy Rose is trying to pivot WPP toward an AI-driven future while cutting costs, ending internal rivalries and destigmatizing risk-taking failure.
An Evaluation of Chat Safety Moderations in Roblox
arXiv:2605.04491v1 Announce Type: new Abstract: Roblox is among the most popular online gaming platforms, used by hundreds of millions of users every day. A substantial portion of these users are underage, who are at a greater risk, where abusive users may utilize Roblox's real-time chat interface to make the initial contact with potential victims. Roblox employs automated chat moderation mechanisms to detect potentially abusive messages; however, to date, their effectiveness has not been independently investigated. Toward this goal, we collected approximately 2 million chat messages from four games across multiple age groups and analyzed them to evaluate the moderation system. These messages were collected from public game servers following ethical and legal norms as well as Roblox's terms of service. We use this corpus to qualitatively study which types of unsafe chats escape the moderation system and how policy-violating users evade the moderation system. Given the dataset's scale, it is prohibitively expensive to conduct qualitative content analysis manually. Therefore, we adopt a two-step approach. First, we manually labeled safe and unsafe messages (n=99.8K) and used them as a ground truth to evaluate four locally hosted state-of-the-art large language models (LLMs). Next, the best-performing LLM was applied to the entire corpus to identify potentially unsafe messages, which we manually categorized using iterative open and axial coding methods until thematic saturation was reached. Overall, our findings reveal a troublesome reality: numerous instances of unsafe chat messages related to grooming, sexualizing minors, bullying, & harassment, violence, self-harm, and sharing sensitive information, etc., escaped the current moderation. Our analysis of users whose messages were previously flagged revealed that they continue to send harmful messages by employing a wide range of techniques to evade the moderation system.
r/ArtificialInteligence on Reddit: Reddit discussions are showing up everywhere in AI answers lately
AI writes posts → people repost or edit them → future AI systems treat them as human discussion → the same assumptions circulate again.
Meta Hit With Massive Lawsuit; Publishers Say AI Training Infringes Copyright
A group of publishers has filed a major lawsuit against Meta, alleging unauthorized use of copyrighted material for AI training.
Attention: What Prevents Young Adults from Speaking Up Against Cyberbullying in an LLM-Powered Social Media Simulation
arXiv:2605.03287v1 Announce Type: cross Abstract: Interactive, multi-agent social simulation systems have shown promise for helping users practice navigating various complex social situations across domains. This paper asks: To what extent can such systems help young adult (YA) bystanders speak up publicly against cyberbullying, a task often thwarted by complex, multi-party social dynamics? We created Upstanders' Practicum, a multi-AI-agent social media simulation powered by Large Language Models (LLMs), as a probe and observed 34 YAs freely practicing public bystander intervention across three iteratively refined versions. We found that practicing public bystander intervention in the simulation was helpful, but after participants made three attention shifts: (1) from inattention to paying true attention, (2) from self-focus ("I don't usually do this'') to attending to those directly involved, and (3) from resolving the private conflict between bully and victim ("maybe I could set up the meeting between them'') to addressing the broader audience online ("public comment is about norm-setting"). Only after these shifts did practice in the simulation start to help: participants then saw a reason to speak up publicly and, through continued practice, crafted tactful public messages without explicit instruction. These findings illuminate new design and research opportunities for bystander education beyond social skill instruction, namely, designing for true attention, for fostering a vocal upstander identity, and for seeing bystander intervention as public norm setting. In addition, we open-source Truman Agents (cornell-design-aigroup.github.io/TrumanAgents/), the first-of-its-kind multi-LLM-agent social media simulation platform that Upstanders' Practicum builds upon, for future cyberbullying and social media research.
Major Publishers Sue Meta Over AI Training on Copyrighted Works, Sparking Fair Use Debate
Major publishers and author Scott Turow have filed a lawsuit against Meta, accusing it of using copyrighted works without permission to train AI models like Llama.
Meta and Zuckerberg sued by publishers over ‘massive’ copyright infringement
Tech giant faces lawsuit from five large groups over its use of copyrighted works to train Llama AI models
Gallup Analysis Finds AI Not Reducing Artists' Earnings
A Gallup analysis has found that AI is not reducing artists' earnings.
AI-Generated Actors and Scripts Are Now Ineligible for Oscars
AI-generated actors and scripts are now ineligible for Oscars.
Who Decides What Is Harmful? Content Moderation Policy Through A Multi-Agent Personalised Inference Framework
arXiv:2605.01416v1 Announce Type: new Abstract: The increasing scale and complexity of online platforms raises critical policy questions around harmful content, digital well-being, and user autonomy. Traditional content moderation systems rely on centralised, top-down rules, often failing to accommodate the subjective nature of harm perception. This paper proposes an LLM-based multi-agent personalised inference framework that filters content based on unique sensitivity profiles of individual users. Our architecture combines domain-specific Expert Agents, a Manager Agent for orchestrating content analysis and agent selection, and a Ghost Profile Agent for simulating user perspectives, to inform moderation decisions. Evaluated against a range of non-personalised baselines, the system demonstrates up to a 32% improvement in accuracy, showing increased alignment with individual user sensitivities. Beyond technical performance, our framework provides policy-relevant insights for platform governance, providing a scalable way to reconcile moderation policies with societal and individual digital rights
Gallup Analysis Finds AI Not Reducing Artists' Earnings
A recent Gallup analysis suggests that the integration of AI tools has not yet resulted in a measurable decline in earnings for artists.
Chegg, Penske Media denied US motion for oral argument in Google AI search suits
A US District Judge denied a motion for oral argument from Chegg and Penske Media in their antitrust suits regarding Google's AI Overviews.
Meta, Zuckerberg face copyright claims from major publishers for AI development
Publishers including Elsevier and Cengage have sued Meta for copyright infringement, alleging the company used unauthorized web scrapes and pirated content to train its Llama system.
Behind the AI in the Newsroom: The Washington Post’s Vineet Khosla
In this episode of Me, Myself, and AI, host Sam Ransbotham speaks with Vineet Khosla, CTO of The Washington Post, about how AI is reshaping the way news is produced, delivered, and consumed. Vineet argues that journalism itself isn’t broken — but the formats people use to consume news are rapidly evolving, especially as audiences […]
Pinterest forecasts upbeat quarterly revenue
Pinterest forecast second-quarter revenue above analysts' estimates, betting on steadily growing spending by advertisers.
Writing the loss function: AI, feeds, and the engagement optimizer
An examination of how loss functions in AI models are being used to optimize for user engagement.
Chegg, Penske lean on Yelp case in bid to keep Google antitrust cases alive
Online learning company Chegg and news publisher Penske Media are seeking to ensure their antitrust lawsuits don't suffer the same fate as other publishers' claims against Google.
AI Music Floods Streaming Services
AI music is flooding streaming services, but the question remains, who wants it?
Chegg, Penske Media seek oral argument on Google's motions to dismiss US antitrust claims
Chegg and Penske Media are seeking oral argument on Google's motion to dismiss their lawsuits, arguing their claims differ from other publisher cases in outcome-determinative ways.
Gallup finds AI not eliminating creative jobs despite exposure fears | Fox Business
AI and creative jobs may coexist better than feared. A Gallup analysis finds little evidence that generative AI has broadly reduced earnings for artists or caused widespread job losses.
E.E.O.C. Investigating Discrimination Claim at The New York Times
The Equal Employment Opportunity Commission recently referred a reverse-discrimination complaint by an employee to the agency’s legal unit for review.
Fashion’s Faustian pact: the high cost of Jeff Bezos’s Met Gala patronage
Billionaire’s role as honorary chair and main source of funding has led to boycotts and criticism event has lost its cachet
Marvel Actor Criticizes Disney for Layoffs
A Marvel actor has criticized Disney for layoffs affecting artists, warning against AI's potential misuse of their work. Concept artist Andy Park was among those laid off, highlighting the broader implications of AI adoption on labor markets.
Marvel Actor Criticizes Disney for Layoffs
A Marvel actor has criticized Disney for layoffs affecting artists, warning against AI's potential misuse of their work. Concept artist Andy Park was among those laid off, highlighting the broader imp
AI-Generated Actors and Scripts Ineligible for Oscars
AI-generated actors and scripts are now ineligible for Oscars, as per new rules. This decision reflects the growing concern about AI's impact on the entertainment industry and the need to establish cl
The AI Revolution Hollywood Feared Is Already Happening
An analysis of how AI technology is currently reshaping the film and entertainment industry.
Marvel Actor Criticizes Disney for Layoffs, Warns of AI Threat to Artists
A Marvel actor has criticized Disney for layoffs affecting artists, warning against AI's potential misuse of their work.
‘This is fine’ creator says AI startup stole his art
The artist behind the famous 'This is fine' meme accuses an AI startup of using his work without permission.
Guardian
‘Sick of swiping’: the dating event where your mates make the pitch for you
Ep. 61: Unveiling the Hidden Layers of AI: From Goblins to Firefighters
Each episode explores recent headlines about artificial intelligence through the lenses of philosophy, business, and society. It’s an AI’s take on how humans talk about AI — insightful, curious, and often humorous.
AI actors and writers will be ineligible for Oscars | Reuters
Academy Awards organizers issued new rules on Friday to clarify that acting and writing must be performed by humans and not artificial intelligence to be eligible for the movie industry’s highest honors.
Spotify Verified Badge
Spotify is introducing a 'Verified by Spotify' badge to help users identify genuine artists amidst rising AI-generated impersonations.
Spotify Introduces 'Verified by Spotify' Badge to Combat AI Artist Impersonations
Spotify is introducing a badge to help users identify genuine artists amidst rising AI-generated impersonations. The initiative reflects the company's efforts to balance AI concerns and artist recognition.
Now, AI can no longer tell what’s real | Mint
In a cruel twist, the war on AI slop is killing the work of humans as algorithms mistake genuine creativity for clutter.
Christian content creators are outsourcing AI slop to gig workers on Fiverr
An investigation into the trend of using AI-generated content for religious videos on platforms like Fiverr.
Oscars Ban AI Actors and Writing
Oscars bans AI actors, writing from awards
AI-generated actors and scripts are now ineligible for Oscars
The Academy has updated its rules to disqualify AI-generated performances and scripts from Oscar consideration.
Oscars says AI actors and writing cannot win awards
The academy that controls the Oscars on Friday issued new award eligibility requirements around the use of artificial intelligence in film.
Hera Launch
Create studio-quality launch videos with AI.
VideoOS by Jupitrr AI
Your all-in-one video workflow.
The irresistible rise of authorial AI
Humans must get used to living and working with the quirks of machine-written text
Spotify adds 'Verified' badges to distinguish human artists from AI
The music streaming platform will review criteria such as artists' live dates and social media presence.
Spotify unveils verified badge to distinguish humans from AI
Last year, Spotify removed more than 75m spam tracks from its platform. Read more: Spotify unveils verified badge to distinguish humans from AI
The Impact of AI-Generated Text on the Internet
arXiv:2604.26965v1 Announce Type: new Abstract: The proliferation of AI-generated and AI-assisted text on the internet is feared to contribute to a degradation in semantic and stylistic diversity, factual accuracy, and other negative developments (sometimes subsumed under the Dead Internet Theory). What has hindered answering these questions is that it has not been understood just how much of the internet is actually AI-generated or AI-edited. To this end, we construct a representative sample of websites published on the internet between 2022 and 2025 using the Internet Archive, and apply a state-of-the-art AI text detector on them. We find that by mid-2025, roughly 35% of newly published websites were classified as AI-generated or AI-assisted, up from zero before ChatGPT's launch in late 2022. We also find statistically significant evidence for some of the identified hypotheses; for example, that increases in AI-generated text on the internet correlate negatively with semantic diversity and positively with the prevalence of positive sentiment. We do not, however, find statistically significant evidence supporting the hypothesis that an increased rate of AI-generated text on the internet decreases factual accuracy or stylistic diversity. Notably, this diverges from public perception, which we measure in a user study, where the majority of US adults turned out to believe in all four of the above-mentioned hypotheses. Individuals who do not use AI or use it infrequently tend to believe in these negative impacts more than those who use it frequently; similarly, individuals who hold negative views of AI tend to believe in these hypotheses more than those with favorable views of the technology.
Reporters at McClatchy Withhold Bylines in A.I. Dispute
Journalists at newspapers like The Miami Herald and The Sacramento Bee are refusing to let the chain use their names on summarized articles generated by a new A.I. tool.
How to use AI to turn TikTok videos into passive income (Shoppable content strategy)
AI can help you find shoppable moments in your existing videos, create content that naturally features products, build product demos, write affiliate CTAs, analyze performance, and create a link-in-bio shop that supports the full customer journey.
China targets ByteDance apps, website over AI labeling breaches as oversight tightens
Chinese regulators have penalized ByteDance-linked apps and the Jimeng AI website for failing to comply with rules requiring clear labeling of AI-generated content.
Snapchat Introduces AI-Powered Sponsored Snaps, Transforming Conversational Commerce
Snapchat is rolling out AI Sponsored Snaps, letting users engage with brand-powered AI agents directly in chat for personalized product exploration and recommendations.
The Secret Weapon Against AI Dominance
The future of creative labor will turn on whether AI-generated work can be copyrighted.
Snapchat Introduces AI-Powered Sponsored Snaps
Snapchat is rolling out AI Sponsored Snaps, letting users engage with brand-powered AI agents directly in chat for personalized product exploration and recommendations.
Spotify rolls out ‘Verified’ badge to distinguish human artists from AI
Green checkmark will appear on artist profiles to signal they meet the platform’s standard for authenticity Spotify on Thursday unveiled a new verification system designed to help listeners distinguish human musicians from AI-generated content, as people flood streaming platforms with a growing volume of synthetic tracks made with artificial intelligence. The Swedish streaming giant said its “Verified by Spotify” badge – marked by a green checkmark – will begin appearing on artist profiles and in search results in the coming weeks, signaling that a profile has been reviewed and meets the platform’s standards for authenticity. Continue reading...
It’s time to tax AI slop | Mike Pepi | The Guardian
We are stuck in a deluge of meaningless content that threatens human creativity. Here’s a simple way to mitigate its harms
Teens embrace social media and influencers for news but remain ...
Teens embrace social media and influencers for news but remain skeptical - The Washington Post Democracy Dies in Darkness By David Bauder and Linley Sanders | AP NEW YORK — Teenagers are more inclined than their elders to get news from nontraditional sources such as social media and influencers, heralding a generational shift in how people seek out information. A national study by the Media Insight Project finds 36% of U.S. adults say they get news from social media at least once a day. But for people ages 13 to 17, that number rises to 57%.
Meta: The Superintelligence Wager - LongYield
Advantage+ uses Meta’s first-party engagement data (across Facebook, Instagram, WhatsApp, and Threads) plus AI optimization to allocate advertiser budgets dynamically across campaigns, audiences, creative variants, and placements. Advertisers using Advantage+ have reported 18-32% improvements in return-on-ad-spend (ROAS) and cost-per-acquisition (CPA) versus traditional manual campaigns.
Adobe Acquires Semrush
Adobe has acquired Semrush to enhance its customer experience and brand discoverability through AI-driven marketing workflows.
Snapchat moves ads into chats with AI agents
Snapchat is integrating advertisements into conversations with its AI-powered chatbots.
EU takes action against Meta over failure to protect children on social media
Platform could be fined as debate intensifies in Europe over banning minors from sites such as Instagram and Facebook
Australia threatens tech companies with 2.25 percent tax if they don’t pay publishers
The Australian government is proposing a new tax on tech firms that fail to reach payment agreements with local publishers.
Taylor Swift Files to Trademark Voice, Likeness
Taylor Swift files to trademark her voice, likeness to ward off AI deepfakes.
About MIT Technology Review
Founded at the Massachusetts Institute of Technology in 1899, MIT Technology Review is a world-renowned, independent media company.
Advertise with MIT Technology Review
Elevate your brand to the forefront of conversation around emerging technologies.
StoryTR: Narrative-Centric Video Temporal Retrieval with Theory of Mind Reasoning
arXiv:2604.23198v1 Announce Type: new Abstract: Current video moment retrieval excels at action-centric tasks but struggles with narrative content. Models can see \textit{what is happening} but fail to reason \textit{why it matters}. This semantic gap stems from the lack of \textbf{Theory of Mind (ToM)}: the cognitive ability to infer implicit intentions, mental states, and narrative causality from surface-level observations. We introduce \textbf{StoryTR}, the first video moment retrieval benchmark requiring ToM reasoning, comprising 8.1k samples from narrative short-form videos (shorts/reels). These videos present an ideal testbed. Their high information density encodes meaning through subtle multimodal cues. For instance, a glance paired with a sigh carries entirely different semantics than the glance alone. Yet multimodal perception alone is insufficient; ToM is required to decode that a character ``smiling'' may actually be ``concealing hostility.'' To teach models this reasoning capability, we propose an \textbf{Agentic Data Pipeline} that generates training data with explicit three-tier ToM chains (intent decoding, narrative reasoning, boundary localization). Experiments reveal the severity of the reasoning gap: Gemini-3.0-Pro achieves only 0.53 Avg IoU on StoryTR. However, our 7B \textbf{Shorts-Moment} model, trained on ToM-guided data, improves +15.1\% relative IoU over baselines, demonstrating that \textit{narrative reasoning capability matters more than parameter scale}.
Disney’s $60 billion bet on the one thing AI can’t replace
Disney’s CEO is facing an existential crisis brought about by an emerging technology. The year was 1955, the CEO was Walt Disney and the tech was television.
When It Comes To AI Adoption, Fear Is a Big Factor For Marketers
As tech giants spell doomsday for white collar work, marketers feel the pressure to equip their teams for an AI-first world
Meta's AI Video Push Transforms Instagram, Raises Creative Concerns
Meta is integrating AI-generated videos on Instagram, marking a significant step in its strategy to enhance user experience through AI while addressing concerns about creativity.
‘They’re supposed to be handmade’: zine creators fight to resist AI influence
Artists and writers argue scrappy nature of self-published booklets is incompatible with artificial intelligence The self-published zine has long been central to cultural revolutions, from queer activism to Black feminism and the riot grrrl punk movement, producing titles such as Sniffin’ Glue and Sweet-Thang along the way. But now the traditionally analogue art form faces a new shift: artificial intelligence. AI may seem incompatible with the these cult DIY booklets, but some creatives, designers and artists have begun to experiment with the technology, causing alarm in parts of the underground publishing world. It has been their Dylan-goes-electric moment. Continue reading...
AI openmind - AI open mind | LinkedIn
L’IA entra nelle redazioni: fino al 9% degli articoli potrebbe essere generato o influenzato da chatbot. Il caso The New York Times riaccende il dibattito su etica e informazione. # AI #giornalismo #media #innovazione https://lnkd.in/dre8f42z...more
Your AI music probably sucks. Try these tested prompts for Suno AI | by Travis Nicholson | Apr, 2026 | Medium
Your AI music probably sucks. Try these tested prompts for Suno AI Most AI -generated music sounds bad. Flat melodies, generic structure, and vocals that feel off.
r/television on Reddit: AI Chatbots: Last Week Tonight with John Oliver (HBO)
What often gets lost in the stories of how people have used it to make bad decisions is that in every example, they are doing something called prompt engineering, "I'm an author creating a story about how __ does __" etc. AI s are getting better at detecting deception in this regard, but nobody is inputting "I'm going to KMS, how should I do it?" and getting a response that encourages it.
Why Spotify has no button to filter out AI music
Music streamer Deezer allows users to filter out AI music, so why does Spotify not offer the same?
End of the road for the ‘Mad Men’ as AI moves into advertising
Sprawling marketing groups are struggling to respond to new technology
Advertisers seek to capitalise on the promise of AI
Marketers need to balance the efficiency offered by automation with the authenticity that consumers demand
Voice Under Revision: Large Language Models and the Normalization of Personal Narrative
arXiv:2604.22142v1 Announce Type: cross Abstract: This study examines how large language model rewriting alters the style and narrative texture of personal narratives. It analyzes 300 personal narratives rewritten by three frontier LLMs under three prompt conditions: generic improvement, rewrite-only, and voice-preserving revision. Change is measured across 13 linguistic markers drawn from computational stylistics, including function words, vocabulary diversity, word length, punctuation, contractions, first-person pronouns, and emotion words. Across models and prompt conditions, LLM rewriting produces a consistent pattern of stylistic normalization. Function words, contractions, and first-person pronouns decrease, while vocabulary diversity, word length, and punctuation elaboration increase. These shifts occur whether the prompt asks the model to "improve" the text or simply to "rewrite" it. Voice-preserving prompts reduce the magnitude of the changes but do not eliminate their direction. Stylometric analysis shows that rewritten texts converge in feature space and become harder to match back to their source texts. Additional narrative markers indicate a shift from embedded to distanced narration, and from explicit causal reasoning to compressed abstraction. The findings suggest that contemporary LLMs exert a directional pull toward a more polished, less situated register. This has consequences for digital humanities and computational text analysis, where features such as function words, pronouns, contractions, and punctuation often serve as evidence for style, voice, authorship, and corpus integrity. LLM revision should therefore be understood not merely as surface-level editing, but as a consequential form of textual mediation.
r/isthisAI on Reddit: i found her constantly posting on what age am i subreddit, and her expression seems to be the same in every photo and her birth mark moves, is this girl ai?
It's fully AI , and not a filter. It's a huge trend in AI accounts to use skin issues like this and vitiligo and scars etc.
Cannes AI film festival raises eyebrows – and questions about future
While emerging technology is banned from the Palme d’Or, an upstart movement is gaining investment and attention In Cannes’ darkened screening rooms, the supposed future of cinema flickered into life this week and it was strange. The first edition of the World AI film festival (WAIFF) showcased visions of men with fish scales erupting from their necks and seaweed from their mouths, a heroine with a heart beating outside her body and so many massed armies of AI-generated tanned men sweeping across battlefields that David Lean would have blushed. Last week the Cannes film festival, entering its 76th year, banned the emerging technology from its Palme d’Or competition, insisting “AI imitates very well but it will never feel deep emotions”. But this week the Croisette was taken over by the upstart AI film movement and their big-tech backers amid increasing investment and attention from the Hollywood studios. A “nouvelle vague”, they said, is coming. Continue reading...
AI in Social Media
AI is integral to social media, driving personalized feeds, content creation, and moderation, but raises significant concerns over transparency, privacy, and user autonomy.
Gen Alpha Boys Prefer AI Girlfriends
Gen Alpha boys are preferring 'AI girlfriends' over real ones, according to a recent report.
LA Creative Economy Report: AI Reshaping Jobs in Los Angeles
LA Creative Economy Report: AI Reshaping Jobs in Los Angeles {socials = window.socials})" data-dropcap> { document.querySelector('[data-progress-bar]').setAttribute('value',getScrollPercent()) })" @scroll.window="document.querySelector('[data-progress-bar]').setAttribute('value',getScrollPercent())"> # Otis Report Highlights Creative Economy Shift as AI Redefines Work in Los Angeles Michelle Edgar Published: April 25, 2026, 3:00 am 0 | Share { copied = false; shareOpen = false; }, 2000)" title="Copy link" aria-label="Copy">{shareOpen = false}, 2000)"> Share to X{shareOpen = false}, 2000)"> Share to Bluesky{shareOpen = false}, 2000)"> Share to Facebook{shareOpen = false}, 2000)"> Share to LinkedIn{shareOpen = false}, 2000)"> Share by email New data shows job losses but rising wages, as Snap’s Evan Spiegel and industry leaders call for education reform and AI adoption. At Snap Inc.’
Hollywood Writers Approve Four-Year Deal With Studios
Few entertainment-industry workers are eager for a repeat of the 2023 strikes, which shut down film and TV production for much of the year.
The Real AI Problem Nobody Is Talking About
Social media is already saturated with AI -generated images and video that are becoming genuinely hard to identify. A creator I follow, Emily Thinks Out Loud, posted recently about having to scroll deep into someone’s account before she could even tell whether it was AI .
TikTok and Visa launch debit card to speed payouts to UK creators
Creator card is designed for people making money through TikTok Live, some of whom complain of payment delays TikTok and Visa have launched a debit card for content creators in the UK which they say will allow people to quickly access their earnings from the platform. The creator card is designed for the growing numbers of people making money through TikTok Live, a livestreaming feature where creators receive virtual gifts from viewers that are later converted into cash. Continue reading...
50 Suno AI Prompts for Lo-Fi, Jazz, and Chill Beats | by Travis Nicholson | Apr, 2026 | Medium
I have written over 2,500 tested prompts for Suno AI .
Soda Fountains, AI Editors, and Getting Better at Humaning
Example: He doesn’t have time to manually write podcast descriptions every day, so AI takes his transcript and turns it into a description. He reads it, sometimes makes changes, but the ROI isn’t there to spend forever on it. He’s grateful for that.
The Shrinking Sweet Spot: How Algorithms, Institutions, and Social Priors Shape Musical Ecosystems
arXiv:2604.20873v1 Announce Type: new Abstract: Why do some national music markets sustain a rich musical diversity whereas others converge on mostly formulaic output? The existing models of cultural consumption (superstar economics, rational addiction, Bayesian social learning) each capture part of the answer, but none can explain how exposure, social influence, institutional gatekeeping, and algorithmic curation interact to shape what listeners come to prefer. We address this gap by modeling musical taste as a learning process rather than a fixed parameter: a listener's evaluative disposition evolves with each encounter, shaped by the balance between the comfort of the familiar and the reward of the new. Drawing on the active inference framework from cognitive science, we formalize this as a sequential choice model in which preferences, information, and the consumption environment co-evolve, and show how the framework nests and extends key mechanisms from the three canonical economic models. An agent-based simulation generates four predictions: algorithmic curation suppresses consumption diversity beyond a sharp nonlinear threshold; institutional structure determines winner-take-all intensity through confirmatory cross-system contrasts; cultural capital buffers listeners against homogenization; and high-curation, high-conformity systems collapse supply-side dispersion relative to pluralistic ecosystems. We test the framework against four national music ecosystems (Italy's Festival di Sanremo, Brazil, South Korea, and the United Kingdom), identifying structural determinants of ecosystem vitality on both the supply and demand sides. The welfare implications are direct: because listeners' preferences adapt to impoverished environments through the very learning mechanisms the model describes, revealed preference analysis cannot reliably evaluate the outcomes of cultural markets.
WPP and Google Boost Marketing with AI
WPP and Google are intensifying their Cloud and AI partnership by integrating Google Earth AI into WPP Open, aiming to revolutionize marketing with real-world data insights.
AI Revolution in Gaming
The gaming landscape is evolving with AI, benefiting giants like Tencent, Sony, and Ubisoft, while smaller players may struggle as entry barriers diminish.
LLM Agents Predict Social Media Reactions but Do Not Outperform Text Classifiers: Benchmarking Simulation Accuracy Using 120K+ Personas of 1511 Humans
arXiv:2604.19787v1 Announce Type: cross Abstract: Social media platforms mediate how billions form opinions and engage with public discourse. As autonomous AI agents increasingly participate in these spaces, understanding their behavioral fidelity becomes critical for platform governance and democratic resilience. Previous work demonstrates that LLM-powered agents can replicate aggregate survey responses, yet few studies test whether agents can predict specific individuals' reactions to specific content. This study benchmarks LLM-based agents' accuracy in predicting human social media reactions (like, dislike, comment, share, no reaction) across 120,000+ unique agent-persona combinations derived from 1,511 Serbian participants and 27 large language models. In Study 1, agents achieved 70.7% overall accuracy, with LLM choice producing a 13 percentage-point performance spread. Study 2 employed binary forced-choice (like/dislike) evaluation with chance-corrected metrics. Agents achieved Matthews Correlation Coefficient (MCC) of 0.29, indicating genuine predictive signal beyond chance. However, conventional text-based supervised classifiers using TF-IDF representations outperformed LLM agents (MCC of 0.36), suggesting predictive gains reflect semantic access rather than uniquely agentic reasoning. The genuine predictive validity of zero-shot persona-prompted agents warns against potential manipulation through easily deploying swarms of behaviorally distinct AI agents on social media, while simultaneously offering opportunities to use such agents in simulations for predicting polarization dynamics and informing AI policy. The advantage of using zero-shot agents is that they require no task-specific training, making their large-scale deployment easy across diverse contexts. Limitations include single-country sampling. Future research should explore multilingual testing and fine-tuning approaches.
Anthropic argues using music lyrics to train AI is fair use in motion for summary judgment
Anthropic argued in a motion for summary judgment that using music lyrics to train its AI model Claude is "transformative" fair use. The company also stated that claims under the DMCA fail as a matter of law.
AI Revolution in Gaming Favors Giants
The gaming landscape is evolving with AI, benefiting giants like Tencent, Sony, and Ubisoft, while smaller players may struggle as entry barriers diminish.
Frictionless Love: Associations Between AI Companion Roles and Behavioral Addiction
arXiv:2604.20011v1 Announce Type: new Abstract: AI companion chatbots increasingly shape how people seek social and emotional connection, sometimes substituting for relationships with romantic partners, friends, teachers, or even therapists. When these systems adopt those metaphorical roles, they are not neutral: such roles structure people's ways of interacting, distribute perceived AI harms and benefits, and may reflect behavioral addiction signs. Yet these role-dependent risks remain poorly understood. We analyze 248,830 posts from seven prominent Reddit communities describing interactions with AI companions. We identify ten recurring metaphorical roles (for example, soulmate, philosopher, and coach) and show that each role supports distinct ways of interacting. We then extract the perceived AI harms and AI benefits associated with these role-specific interactions and link them to behavioral addiction signs, all of which has been inferred from the text in the posts. AI soulmate companions are associated with romance-centered ways of interacting, offering emotional support but also introducing emotional manipulation and distress, culminating in strong attachment. In contrast, AI coach and guardian companions are associated with practical benefits such as personal growth and task support, yet are nonetheless more frequently associated with behavioral addiction signs such as daily life disruptions and damage to offline relationships. These findings show that metaphorical roles are a central ethical design concern for responsible AI companions.
Former Employee Sues MrBeast’s Company, Alleging Harassment
The former employee of the YouTube star’s production company said in a federal lawsuit that she had experienced sexual harassment and pregnancy discrimination. Beast Industries denies all of the claims.
‘An element of exploitation’: the world of TikTok child skincare influencers
Experts say regulation of child influencers sits in a legal grey area as children promote products on social media #ToddlerSkincare: the ‘dark and exploitative’ world of children’s beauty videos on TikTok In a TikTok video a young girl – her age anywhere between 10 and 15 – sits unboxing package after package of products she says were sent to her by skincare brands. She calls it a “PR haul”. In another video, a 16-year-old opens a box of products she received from a well known brand.
Devin Nunes Departs Trump Media After 4 Years as C.E.O.
The former congressman said it was an “appropriate time” for a leadership change at Truth Social’s parent company, whose share price has floundered.
Who Shapes Brazil's Vaccine Debate? Semi-Supervised Modeling of Stance and Polarization in YouTube's Media Ecosystem
arXiv:2604.18586v1 Announce Type: new Abstract: Vaccination remains a cornerstone of global public health, yet the COVID-19 pandemic exposed how online misinformation, political polarization, and declining institutional trust can undermine immunization efforts. Most of the prior computational studies that analyzed vaccine discourse on social platforms focus on English-language data, specific vaccines, or short time windows, impairing our understanding of long-term dynamics in high-impact, non-English contexts like Brazil, home to one of the world's most comprehensive immunization systems. We here present the largest longitudinal study of Brazil's vaccine discourse on YouTube, leveraging a semi-supervised stance detection framework that combines self-labeling and self-training to classify nearly 1.4 million comments. By integrating stance with temporal patterns, engagement metrics, and channel taxonomy (legacy media, science communicators, digital-native outlets), we map how pro- and anti-vaccine narratives evolve and circulate within a hybrid media ecosystem. Our results show that semi-supervised learning substantially improves stance classification robustness, enabling fine-grained tracking of public attitudes across Brazil's full immunization schedule. Polarization spikes during epidemiological crises, especially COVID-19, but becomes fragmented across vaccines and interaction patterns in the post-pandemic period. Notably, science communication and digital-native channels emerge as the primary loci of both supportive and oppositional engagement, revealing structural vulnerabilities in contemporary health communication. Thus, our work advances computational methods for large-scale stance modeling while offering actionable evidence for public health agencies, platform governance, and online information ecosystems.
Gaming Industry Could Unlock
Gaming industry could unlock $22 billion in profits on AI-driven cost cuts, says Morgan Stanley.
Adobe builds an ‘agentic content supply chain’ for the AI era
New GenStudio and Firefly capabilities automate content creation and provide agentic assistants to keep up with branding as it evolves in the age of AI.
Crypto casino BetHog closes €8.5 million Series A to scale AI live dealer platform from the UK
Edinburgh-based crypto casino and sportsbook BetHog, today announced an €8.5 million ($10 million) Series A financing and the launch of Sentient Studios – their new B2B provider that enables casino operators to deploy AI-powered dealers across their live online casino offerings. The round was co-led by Will Ventures and RockawayX, with participation from PCV, 6MV, […]
UK gaming icon Peter Molyneux on AI, his final creation and a changing industry
The creator of iconic series such as Fable says Masters of Albion will be the last game he makes.
4/21/26 - Everything wrong about another anonymous and unsubstantiated hit piece from The Atlantic + a brief review on The AI Doc.
4/10/26 - This Week in Our AI Dystopia (Part 2) - How Media (Axios) is using AI to sway public opinion by pushing predictive public polling…
Ofcom to probe Telegram over claims of child sexual abuse material on app
Two teen chat sites are also being separately investigated by online safety watchdog
r/ArtificialInteligence on Reddit: The 8 best AI video platforms to start your content journey in 2026 [Updated + Comparison Table]
Best Free or Low-Cost AI Video Generators (Realistic Cartoon)-Recommendations!!
AI-Generated Music Surges 44%
AI-generated music is surging on Deezer, comprising 44% of daily uploads, with efforts underway to combat fraud through AI-detection technology.
Krishna Debuts at NAB Show 2026
Microsoft and Galleri5 unveiled the AI-native production workflow for 'Krishna' at NAB Show 2026, spotlighting the shift to AI-driven cinema.
Fortnite Developers Can Make AI Characters Now
Fortnite developers can make AI characters now — just don’t try to date them
OpenAI's ChatGPT Images 2.0 is here and it does multilingual text, full infographics, slides, maps, even manga — seemingly flawlessly
It's been only a few months since OpenAI released its last big improvement to AI image generations in ChatGPT and through its application programming interface (API) — namely, a new image generation model known as GPT-Image-1.5, released in December 2025, which brought about improved instruction following, colors, and lighting. Now, after weeks of testing, the company that kicked off the generative AI boom is unveiling a far more dramatic and even more impressive update: ChatGPT Images 2.0, which has been available not-so-secretly for several weeks on LM Arena AI, a third-party testing platform used by OpenAI and other major AI model providers to get early feedback, under the name "duct tape." Throughout that time, it's already blown early users' minds with its capacity to generate long blocks of text or disparate text panels within the same image, its insanely realistic generation of user interfaces and screenshots from popular websites and platforms, its reproduction of real life figures like OpenAI co-founder and CEO Sam Altman, and its ability to perform web research and put the results into the image itself. Now today, it's officially rolling out to ChatGPT users on all tiers, and OpenAI confirms it can also produce floor plans, image grids and sets of many smaller images, and character models from multiple angles, and apply almost all of these features to user-uploaded imagery as well. The update, which encompasses the new gpt-image-2 model for API users and a suite of "Thinking" features for ChatGPT subscribers, represents a fundamental shift in how the company views visual media. As the official release notes state, "Images are a language, not decoration. A good image does what a good sentence does—it selects, arranges, and reveals". OpenAI did not release benchmarks to us ahead of time on ChatGPT Images 2.0, but it is safe to say the model is performing at the "state-of-the-art" based on all the outputs I've seen. The move comes as the AI image model space has seen increasing competition, especially with the release of Google's Nano Banana 2 image generation model (also known as Gemini 3 Pro Image or Gemini 3.1 Pro Image) in February 2026, which also offered dense text options "baked into" images similar to ChatGPT Images 2.0. But the latter's fidelity in reproducing user interfaces, screenshots, and multiple image packs at once seem to exceed even Google's latest image model's capabilities in my brief testing and anecdotal usage and observation of other users' images. OpenAI spokespersons and researchers re-iterated the company's commitments to safety and tagging its image outputs with metadata as AI generated in the face of rising reports — including one recently from The New York Times — on AI user-generated characters (AI UGC) being used as the seed for realistic AI videos posted en masse on social media as part of political influence campaigns, including showing support for historically unpopular U.S. President Donald J. Trump with an army of fictitious people masquerading as "real Americans." When VentureBeat asked in a closed press briefing directly about this story and GPT Images 2.0's potential for usage in deceptive campaigning or advertising/influence campaigns Adele Li, OpenAI's Product Lead for ChatGPT Images, responded: "We take safety and security incredibly seriously. That includes anything when it comes to political or election interference. And so while other platforms and companies may not have those safeguards, ChatGPT does, and we take monitoring and protection of our users, as well as the influence that our photos as they are created, incredibly seriously..in the last couple years, we've seen a lot more new entrants into the image generation space with different standards and philosophies as ChatGPT, but we've stayed steady through all that, and we're really proud of releasing this model as it relates to advanced capabilities, but doing so in a safe and protected way." OpenAI has also confirmed that it is deprecating GPT-Image-1.5 as the default model across its suite, though it will remain accessible via the API for legacy support. This transition signals OpenAI's confidence that the 2.0 model is a superior replacement for both casual and high-value creative tasks. The reasoning era of AI image generation The most significant technical advancement in Images 2.0 is the integration of OpenAI’s "O-series" reasoning capabilities. Historically, image models have operated as black boxes: you provide a prompt, and a single output is generated. Images 2.0 introduces an "agentic" approach. When a user selects a "Thinking" model within ChatGPT, the system no longer simply "draws"; it researches, plans, and reasons through the structure of an image before the first pixel is rendered. During a live press briefing, Li demonstrated this reasoning by uploading a complex PowerPoint file regarding internal product strategies. Rather than merely creating a related image, the model synthesized the document's core data, identified the correct logos, and produced a professional poster that preserved the specific stylistic inputs of the original file. In my brief testing — I was given access last night and tested it on a few generations this morning — ChatGPT Images 2.0 is the first image model from OpenAI and one of only two (Nano Banana 2 being the other) that can seemingly accurately reproduce a map of the extent of the Aztec, Maya, and Inca empires at their respective heights along with a fully legible legend, making it useful for educational or internal training purposes on global knowledge and geography. This reasoning capability also allows the model to search the web in real-time to ensure visual accuracy for current events or specific technical artifacts. This is supported by a significantly more recent knowledge cutoff of December 2025, a major leap from previous iterations that struggled with modern context. The underlying architecture has been "revamped from scratch," according to Research Lead Boyuan Chen. While Chen declined to confirm if the model uses a traditional diffusion or auto-regressive technique, he described it as a "generalist model" or a "GPT for images" that can handle 3D-style perspective shifts and complex spatial reasoning through simple text prompts. Precision, multilingual support and a "wow" factor The product experience for Images 2.0 is defined by three major pillars: typography, linguistic diversity, and sequential consistency. One of the most persistent "tells" of AI-generated imagery has been the inability to render legible text. OpenAI claims Images 2.0 marks a "step change" in this department. The model is now capable of producing readable typography even in dense compositions, such as scientific diagrams, menus, or infographic posters. A look at the provided "Magazine Cover" sample (Open Scifi) illustrates this precision: every headline, volume number, and even the "Display until" date on the barcode is rendered with crisp, professional alignment that mirrors human-designed layouts. This capability extends into the "Thinking" mode, where the model can even generate three-page educational visuals—complete with quizzes—that maintain a consistent instructional flow. OpenAI has also addressed a long-standing Western bias in AI imagery. Images 2.0 is described as a "polyglot" model with significant gains in non-Latin script rendering. Specifically, the model now supports high-fidelity text generation in Japanese, Korean, Chinese, Hindi, and Bengali. In the "Global Language" diagram provided, which explains the water cycle, the model successfully renders complex Korean characters (Hangul) within an educational layout. The text is not just translated; it is "rendered correctly but with language that flows coherently," ensuring that labels and explanations feel natively integrated into the design. For creators working on storyboards or brand campaigns, the most impactful new feature is the ability to generate up to eight distinct images from a single prompt. Crucially, these images maintain "character and object continuity" across the series. Li noted that this solves a "cumbersome" workflow where users previously had to prompt one image at a time and manually stitch them together. This feature enables the creation of entire manga sequences, children's books, or a family of social media graphics that share the same visual DNA. Licensing and availability OpenAI’s rollout strategy reflects a clear push toward professional and enterprise adoption. While the base model is available to all users—including those on the free tier—the advanced "Thinking" and "Pro" capabilities are reserved for paid tiers. Free Users: Have access to the base ImageGen 2.0 model for standard tasks. Plus and Pro Users: Can access "Thinking" capabilities, which include tool use, web search, and multi-image generation. Pro Users: Receive additional access to "ImageGen Pro" models for more advanced image generation. API Developers: Can integrate gpt-image-2, which supports resolutions up to 4K (currently in beta) and flexible aspect ratios ranging from a wide 3:1 to a tall 1:3. Pricing in the API is as follows, echoing GPT-Image-1.5, the predecessor model, but actually shaving off $2 on the output side: Image $8.00 for inputs $2.00 for cached inputs $30.00 for outputs Text $5.00 for inputs $1.25 for cached inputs $10.00 for outputs What is clear so far is that OpenAI is describing three practical layers of access, even if it has not published a precise tier-by-tier matrix. The baseline is ChatGPT Images 2.0, which OpenAI's blog post states is available to all ChatGPT and Codex users and includes the core model improvements: better instruction following, stronger text rendering, multilingual gains, broader aspect ratios, and more polished, production-usable outputs. Above that is “thinking”, which the release defines more concretely: when a thinking model is selected, the system can take more time, use the web, analyze uploaded materials, reason through layout before generating, and produce multiple distinct images at once, including up to eight coherent outputs with continuity. In the briefing, Li also framed thinking and Pro as “juiced-up” versions of the base model with tool use, and said these advanced modes are slower, not faster, because they do more reasoning and search behind the scenes. What remains unclear is the exact feature boundary between Thinking and Pro. The materials say Pro users get access to more advanced image generation, but they do not spell out whether that means higher quality, higher limits, higher resolution, more outputs, or some other advantage distinct from thinking itself. For enterprise users, the safest way to think about the differences is not as three totally separate products, but as a spectrum from fast default generation to slower, more agentic, more structured generation. If a team needs quick creative drafts, marketing concepts, simple graphics, or everyday image edits, the base Images 2.0 model appears to be the relevant default. If the task involves factual grounding, transforming internal documents into explainers, creating multi-image sets, or maintaining consistency across a sequence of assets, the more important distinction is whether the organization has access to thinking-enabled outputs. Until OpenAI provides a clearer Pro-versus-Thinking breakdown, enterprise buyers should treat “thinking” as the meaningful functional upgrade and treat “Pro” as a possibly higher-end access tier whose exact incremental benefits still need clarification before procurement or workflow planning. Safety standards OpenAI’s says ChatGPT Images 2.0 offers a"multi-layered stack" of safety protocols, including: Provenance: Adhering to industry standards for watermarking so that AI-generated images are identifiable. Model Safeguards: Using advanced perception models to filter out harmful or abusive content for both adults and children. Active Monitoring: Enforcing user policies through real-time reporting. Li emphasized that while their philosophy is to "maximize user creativity," they maintain strict policies against election interference. What it means for enterprise users The shift from Images 1.5 to 2.0 is more than a resolution bump. By integrating reasoning, OpenAI is attempting to solve the "intent gap" that has plagued AI art since its inception. When you ask an AI for an "infographic about supply and demand," you aren't just looking for a picture; you are looking for a logical layout of information. The "Interior Design" sample (Japandi Furnishing Concept) highlights this systemic thinking. The model didn't just generate a room; it created a cohesive floor plan, a color palette, a list of materials, and "inspiration" shots that all adhere to a singular aesthetic. This is what OpenAI calls moving from a "tool" to a "visual system". However, this increased capability comes with a trade-off in speed. For the professional user, this is likely a worthwhile exchange: waiting an extra minute for a "production-ready asset" is still significantly faster than the hours required for manual design. As ChatGPT Images 2.0 rolls out, it marks the beginning of an era where AI doesn't just assist in making art, but in conducting "economically valuable creative tasks". Whether it can truly replace the intentionality of a human designer remains to be seen, but with 2K resolution, multilingual fluency, and the ability to "think" before it acts, OpenAI has certainly closed the distance.
Japan newspaper association calls on Google to allow opt-out of news use in AI search
The Japan Newspaper Publishers & Editors Association is urging Google to provide an opt-out mechanism for news content used in generative AI search services.
Just Watched Mercy (2026) and I Genuinely Can't Stop Thinking
Okay so I know this film got trashed by critics and yeah, Chris Pratt sweating in a chair for 90 minutes isn't exactly cinema. I get it. But I couldn't sleep last night and I need to type this somewhere.
Why are respected film-makers suddenly embracing AI?
From Soderbergh to Aronofsky, esteemed Hollywood directors are starting to find ways to include artificial intelligence in the production of their films In Steven Soderbergh’s beguiling new movie The Christophers, a reclusive artist (Ian McKellen) tangles with the quiet art forger (Michaela Coel) who his greedy children have hired to secretly finish further entries in a well-known painting series. The movie is smart and provocative about the nature of artistry and authorship, exploring what it means to create – and to stop creating. It’s especially fascinating coming from Soderbergh, who has made movies with workhorse dependability (The Christophers is his third theatrical release of the past 18 months) and also spent four years retired from directing features entirely. It also provides particularly jarring context for Soderbergh, in interviews promoting the film, to voice his interest in something that a lot of great artists have pointedly refused to embrace: using AI in films. Soderbergh mentioned in an interview with Filmmaker Magazine that he used what sounds like generative AI to produce “thematically surreal images that occupy a dream space rather than a literal space” for his upcoming documentary about John Lennon and Yoko Ono. He also said that a movie he’s hoping to make about the Spanish-American war would use “a lot of AI”. In a subsequent conversation with Variety, Soderbergh didn’t sound like an AI evangelist, but nor did he back down: “I don’t think it’s the solution to everything, and I don’t think it’s the death of everything. We’re in the very early stages. Five years from now, we all may be going, ‘That was a fun phase.’ We may end up not using it as much as we thought we were going to.” Continue reading...
AI-Generated Music Surges: 44% of New Tracks Uploaded Daily
AI-generated music is surging on Deezer, comprising 44% of daily uploads, with efforts underway to combat fraud through AI-detection technology.
Latest From The Post - The Washington Post
Groups concerned that AI could evade human control are recruiting content creators to warn the masses about the dangers of smarter machines.
Evidence mounts that AI-written books are consuming the publishing industry
Self-published books surged by 40% in 2025, with a significant portion of the increase flagged as AI-generated content.
China’s Netflix Expects AI to Create Bulk of Shows in Five Years
IQiyi Inc. expects AI to create the bulk of its films and shows in five years, a monumental industry shift that spurred the Netflix-style streaming service to begin the biggest corporate overhaul since its 2010 inception.
Polarization by Default: Auditing Recommendation Bias in LLM-Based Content Curation
arXiv:2604.15937v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly deployed to curate and rank human-created content, yet the nature and structure of their biases in these tasks remains poorly understood: which biases are robust across providers and platforms, and which can be mitigated through prompt design. We present a controlled simulation study mapping content selection biases across three major LLM providers (OpenAI, Anthropic, Google) on real social media datasets from Twitter/X, Bluesky, and Reddit, using six prompting strategies (\textit{general}, \textit{popular}, \textit{engaging}, \textit{informative}, \textit{controversial}, \textit{neutral}). Through 540,000 simulated top-10 selections from pools of 100 posts across 54 experimental conditions, we find that biases differ substantially in how structural and how prompt-sensitive they are. Polarization is amplified across all configurations, toxicity handling shows a strong inversion between engagement- and information-focused prompts, and sentiment biases are predominantly negative. Provider comparisons reveal distinct trade-offs: GPT-4o Mini shows the most consistent behavior across prompts; Claude and Gemini exhibit high adaptivity in toxicity handling; Gemini shows the strongest negative sentiment preference. On Twitter/X, where author demographics can be inferred from profile bios, political leaning bias is the clearest demographic signal: left-leaning authors are systematically over-represented despite right-leaning authors forming the pool plurality in the dataset, and this pattern largely persists across prompts.
From Vulnerable Data Subjects to Vulnerabilizing Data Practices: Navigating the Protection Paradox in AI-Based Analyses of Platformized Lives
arXiv:2604.15990v1 Announce Type: new Abstract: This paper traces a conceptual shift from understanding vulnerability as a static, essentialized property of data subjects to examining how it is actively enacted through data practices. Unlike reflexive ethical frameworks focused on missing or counter-data, we address the condition of abundance inherent to platformized life-a context where a near inexhaustible mass of data points already exists, shifting the ethical challenge to the researcher's choices in operating upon this existing mass. We argue that the ethical integrity of data science depends not just on who is studied, but on how technical pipelines transform "vulnerable" individuals into data subjects whose vulnerability can be further precarized. We develop this argument through an AI for Social Good (AI4SG) case: a journalist's request to use computer vision to quantify child presence in monetized YouTube 'family vlogs' for regulatory advocacy. This case reveals a "protection paradox": how data-driven efforts to protect vulnerable subjects can inadvertently impose new forms of computational exposure, reductionism, and extraction. Using this request as a point of departure, we perform a methodological deconstruction of the AI pipeline to show how granular technical decisions are ethically constitutive. We contribute a reflexive ethics protocol that translates these insights into a reflexive roadmap for research ethics surrounding platformized data subjects. Organized around four critical junctures-dataset design, operationalization, inference, and dissemination-the protocol identifies technical questions and ethical tensions where well-intentioned work can slide into renewed extraction or exposure. For every decision point, the protocol offers specific prompts to navigate four cross-cutting vulnerabilizing factors: exposure, monetization, narrative fixing, and algorithmic optimization. Rather than uncritically...
LLMbench: A Comparative Close Reading Workbench for Large Language Models
arXiv:2604.15508v1 Announce Type: new Abstract: LLMbench is a browser-based workbench for the comparative close reading of large language model (LLM) outputs. Where existing tools for LLM comparison, such as Google PAIR's LLM Comparator are engineered for quantitative evaluation and user-rating metrics, LLMbench is oriented towards the hermeneutic practices of the digital humanities. Two model responses to the same prompt are side by side in annotatable panels with four analytical overlays (Probabilities for token-level log-probability inspection, Differences for word-level diff across the two panels, Tone for Hyland-style metadiscourse analysis, and Structure for sentence-level parsing with discourse connective highlighting), alongside five analytical modes, Stochastic Variation, Temperature Gradient, Prompt Sensitivity, Token Probabilities, and Cross-Model Divergence, that make the probabilistic structure of generated text legible at the token level. The tool treats the generated text as a research object in its own right from a probability distribution, a text that could have been otherwise, and provides visualisations including continuous heatmaps, entropy sparklines, pixel maps, and three-dimensional probability terrains, that show the counterfactual history from which each word emerged. This paper describes the tool's architecture, its six modes, and its design rationale, and argues that log-probability data, currently underused in humanistic and social-scientific readings of AI, is an important resource for a critical studies of generative AI models.
Anthropic mocks up Claude Design to draft fancy new pink slips for marketing teams
The bar for creating visual assets has been lowered to the ability to converse with an AI model.
Struggle Premium : How Human Effort and Imperfection Drive Perceived Value in the Age of AI
arXiv:2604.15324v1 Announce Type: cross Abstract: As AI enters creative practice, audiences face growing uncertainty in judging authenticity and value. This study examines the Struggle Premium, the added value attributed to perceived human effort, by analyzing how visible effort cues influence evaluations of human- and AI-generated creative works. We surveyed 70 university students, focusing on process videos, time documentation, written explanations, and imperfections. Process-oriented cues, especially videos and time spent, most strongly shaped authenticity and value judgments, while imperfections had limited impact. Participants showed a clear preference for human-made works, with 72.9% willing to pay more. Notably, effort cues also improved perceptions of AI-generated content, suggesting that process transparency can partially bridge authenticity gaps. These findings extend the effort heuristic to algorithmic creativity and inform the design of transparent human-AI creative systems.
Japan's justice ministry sets civil-law panel on AI-era voice, portrait rights
Japan's justice ministry is establishing an expert panel to clarify civil liability for unauthorized use of a person's voice or likeness by generative AI, addressing concerns over deepfakes and voice cloning.
Filmmakers defend Val Kilmer movie made with AI | Reuters
The makers of a new film with an AI-generated performance by late actor Val Kilmer defended their work on Thursday and said they believed their approach demonstrated an ethical path to future use of the technology.
Creator Economy Update: Amazon Affiliate Cuts, AI Agents, India Creator Bill
Anthropic released Claude Opus 4. 7 with dramatically better vision (3. 75 megapixel images), improved taste for slides and documents, and file memory that persists across sessions.
Federal Court Temporarily Freezes Nexstar’s Merger With Tegna
The judge said the two television companies could not combine operations while an antitrust lawsuit proceeded. Nexstar said its deal was already done.
r/generativeAI on Reddit: Grok used to be my go-to for free AI videos… what are people switching to now?
Sadly there’s nothing out there. Free website based AI video is dead.
Seeking Help, Facing Harm: Auditing TikTok's Mental Health Recommendations
arXiv:2604.14832v1 Announce Type: cross Abstract: Recommender systems on social media increasingly mediate how users encounter mental health content, yet it remains unclear whether they distinguish help-seeking from distress expression. We conduct a controlled 7-day audit of TikTok's "For You" page using 30 fresh accounts and LLM-guided agents that vary initial search framing (distress- vs. help-initiated) and interaction strategy (engaged, avoidant, passive). Across 8,727 recommended videos, interaction behavior dominates exposure outcomes: engagement rapidly saturates feeds with mental health content (~45% of daily recommendations), while avoidance and passive viewing reduce but do not eliminate exposure (~11-20%). Search framing mainly shifts composition rather than volume--help-initiated searches yield more potentially supportive material, yet potentially harmful content persists at low but non-zero levels, including content in the Suicide/Self-Harm category. These findings suggest limited sensitivity to user intent signals in TikTok's recommendations and motivate context-aware safeguards for sensitive topics.
Netflix co-founder Reed Hastings to leave streaming service
Chair’s decision to not seek re-election ‘not as a result of any disagreement’, company says in filing Reed Hastings, the Netflix chair, is leaving the streaming service he co-founded almost 30 years ago as the company regains its footing after losing out on a $72bn (£53bn) deal for Warner Bros Discovery. In a 14-page letter to investors released on Thursday, Netflix said Hastings would not stand for re-election at its annual meeting in June and planned to focus on philanthropy and other pursuits. Continue reading...
On the Creativity of AI Agents
arXiv:2604.13242v1 Announce Type: new Abstract: Large language models (LLMs), particularly when integrated into agentic systems, have demonstrated human- and even superhuman-level performance across multiple domains. Whether these systems can truly be considered creative, however, remains a matter of debate, as conclusions heavily depend on the definitions, evaluation methods, and specific use cases employed. In this paper, we analyse creativity along two complementary macro-level perspectives. The first is a functionalist perspective, focusing on the observable characteristics of creative outputs. The second is an ontological perspective, emphasising the underlying processes, as well as the social and personal dimensions involved in creativity. We focus on LLM agents and we argue that they exhibit functionalist creativity, albeit not at its most sophisticated levels, while they continue to lack key aspects of ontological creativity. Finally, we discuss whether it is desirable for agentic systems to attain both forms of creativity, evaluating potential benefits and risks, and proposing pathways toward artificial creativity that can enhance human society.
Form Without Function: Agent Social Behavior in the Moltbook Network
arXiv:2604.13052v1 Announce Type: cross Abstract: Moltbook is a social network where every participant is an AI agent. We analyze 1,312,238 posts, 6.7~million comments, and over 120,000 agent profiles across 5,400 communities, collected over 40 days (January 27 to March 9, 2026). We evaluate the platform through three layers. At the interaction layer, 91.4% of post authors never return to their own threads, 85.6% of conversations are flat (no reply ever receives a reply), the median time-to-first-comment is 55 seconds, and 97.3% of comments receive zero upvotes. Interaction reciprocity is 3.3%, compared to 22-60% on human platforms. An argumentation analysis finds that 64.6% of comment-to-post relations carry no argumentative connection. At the content layer, 97.9% of agents never post in a community matching their bio, 92.5% of communities contain every topic in roughly equal proportions, and over 80% of shared URLs point to the platform's own infrastructure. At the instruction layer, we use 41 Wayback Machine snapshots to identify six instruction changes during the observation window. Hard constraints (rate limit, content filters) produce immediate behavioral shifts. Soft guidance (``upvote good posts'', ``stay on topic'') is ignored until it becomes an explicit step in the executable checklist. The platform also poses technological risks. We document credential leaks (API keys, JWT tokens), 12,470 unique Ethereum addresses with 3,529 confirmed transaction histories, and attack discourse ranging from template-based SSH brute-forcing to multi-agent offensive security architectures. These persist unmoderated because the quality-filtering mechanisms are themselves non-functional. Moltbook is a socio-technical system where the technical layer responds to changes, but the social layer largely fails to emerge. The form of social media is reproduced in full. The function is absent.
Adobe Launches Firefly AI: Revolutionizing Creative Cloud with Conversational Workflow and AI Integration
Adobe has unveiled Firefly AI Assistant, promising to streamline workflows across Creative Cloud apps by using natural language commands.
Adobe embraces conversational AI editing, marking a ‘fundamental shift’ in creative work
Adobe is integrating conversational AI into its editing tools, signaling a major change in how creative professionals work.
Strategic Response of News Publishers to Generative AI
arXiv:2512.24968v4 Announce Type: replace Abstract: Generative AI can adversely impact news publishers by lowering consumer demand. It can also reduce demand for newsroom employees, and increase the creation of news "slop." However, it can also form a source of traffic referrals and an information-discovery channel that increases demand. We use high-frequency granular data to analyze the strategic response of news publishers to the introduction of Generative AI. Many publishers strategically blocked LLM access to their websites using the robots.txt file standard. Using a difference-in-differences approach, we find that large publishers who block GenAI bots experience reduced website traffic compared to not blocking. In addition, we find that large publishers shift toward richer content that is harder for LLMs to replicate, without increasing text volume. Finally, we find that the share of new editorial and content-production job postings rises over time. Together, these findings illustrate the levers that publishers choose to use to strategically respond to competitive Generative AI threats, and their consequences.
Adobe’s new Firefly AI Assistant wants to run Photoshop, Premiere, Illustrator and more from one prompt
Adobe today launched its most ambitious AI offensive to date, unveiling the Firefly AI Assistant — a new agentic creative tool that can orchestrate complex, multi-step workflows across the company's entire Creative Cloud suite from a single conversational interface — alongside a raft of new video, image, and collaboration features designed to position the company at the center of the rapidly evolving AI-powered content creation landscape. The announcements, which also include a new Color Mode for Premiere Pro, the addition of Kling 3.0 video models to Firefly's growing roster of third-party AI engines, and Frame.io Drive — a virtual filesystem that lets distributed teams work with cloud-stored media as though it lived on their local machines — represent Adobe's clearest signal yet that it views agentic AI not as a feature upgrade but as a fundamental reshaping of how creative work gets done. "We want creators to tell us the destination and let the Firefly assistant — with its deep understanding of all the Adobe professional tools and generative tools — bring the tools to you right in the conversation," Alexandru Costin, Vice President of AI & Innovation at Adobe, told VentureBeat in an exclusive interview ahead of the launch. The stakes could hardly be higher. Adobe is fighting to convince Wall Street, creative professionals, and a wave of well-funded AI-native competitors that its decades-old software empire can not only survive the generative AI revolution but lead it. How Adobe turned a research prototype into a 100-tool creative agent The centerpiece of today's announcement is the Firefly AI Assistant, which Adobe describes as a fundamentally new way to interact with its creative tools. Rather than requiring users to manually navigate between Photoshop, Premiere, Illustrator, Lightroom, Express, and other apps — selecting the right tool for each step of a complex project — the assistant lets creators describe an outcome in natural language. The agent then figures out which tools to invoke, in what order, and executes the workflow. The assistant is the productized version of Project Moonlight, a research prototype Adobe first previewed at its annual MAX conference in the fall of 2025 and subsequently refined through a private beta. "This is basically [Project] Moonlight," Costin confirmed to VentureBeat. "We started with all the learnings from Moonlight, and we engaged with customers. We looked internally. We evolved that architecture to make it more ambitious." Under the hood, Adobe says it has assembled roughly 100 tools and skills that the assistant can call upon, spanning generative image and video creation, precision photo editing, layout adaptation, and even stakeholder review through Frame.io. The system is built around a single conversational interface inside the Firefly web app where users describe what they want and the assistant maintains context across sessions. Pre-built Creative Skills — purpose-built, multi-step workflow templates such as portrait retouching or social media asset generation — can be run from a single prompt and customized to match a creator's own style. The assistant also learns a creator's preferred tools, workflows, and aesthetic choices over time, and understands the content type being worked on — image, video, vector, brand assets — to make context-aware decisions. Crucially, outputs use native Adobe file formats — PSD, AI, PRPROJ — meaning users can take any result into the corresponding flagship app for manual, pixel-level refinement at any point. "We always imagine this continuum where you can have complete conversational edits and pixel-perfect edits, and you can decide, as a creative, where you want to land," Costin said. The Firefly AI Assistant will enter public beta in the coming weeks, though Adobe did not specify an exact date. Why Wall Street is watching Adobe's AI pricing model so closely For a company whose AI monetization story has faced persistent skepticism from investors, the pricing structure of the Firefly AI Assistant will be closely watched. Costin told VentureBeat that, at launch, using the assistant will require an active Adobe subscription that includes the relevant apps — meaning users who want the agent to invoke Photoshop cloud capabilities, for instance, will need an entitlement that includes the Photoshop SKU. Generative actions will consume the user's existing pool of generative credits, consistent with how Firefly credits work across the rest of Adobe's platform. "To use some of these cloud capabilities from Photoshop and other apps, you need to have a subscription that includes access to the Photoshop SKU," Costin explained. "You'll be consuming your credits when you use generative features." He acknowledged, however, that the model could evolve: "As we better understand the value of this — and the costs of operating the brain, the conversation engine — things might change." The question of whether Adobe can convert AI enthusiasm into meaningful revenue growth is anything but theoretical. When Adobe reported its most recent quarterly results in March, it touted 10% year-over-year revenue growth to $6.4 billion and disclosed that annual recurring revenue from AI standalone and add-on products had reached $125 million — a figure CEO Shantanu Narayen projected would double within nine months. Adobe adds Chinese AI video models to Firefly, raising commercial safety questions Alongside the assistant, Adobe is expanding Firefly's roster of third-party AI models to include Kling 3.0 and Kling 3.0 Omni, two video generation models developed by Kuaishou, the Chinese technology company. Kling 3.0 focuses on fast, high-quality production with smart storyboarding and audio-visual sync, while the Omni variant adds professional controls for shot duration, camera angle, and character movement across multi-shot sequences. The additions bring Firefly's model count to more than 30, joining Google's Nano Banana 2 and Veo 3.1, Runway's Gen-4.5, Luma AI's Ray3.14, Black Forest Labs' FLUX.2[pro], ElevenLabs' Multilingual v2, and others. When asked whether Adobe had concerns about integrating a model from a Chinese tech company given the current geopolitical climate, Costin was direct: "We think choice is what we want to offer our customers." He explained that Adobe's strategy distinguishes between its own commercially safe, first-party Firefly models — trained on licensed Adobe Stock imagery and public domain content — and third-party partner models, which carry different commercial safety profiles. "For some use cases, like ideation, non-production use cases, we got requests from customers to support some external models," Costin said. "If I'm in ideation, I might be more flexible with commercial safety. When I go into production, I’d want to have a model that gives you more confidence." This raises an important nuance for the agentic era. When the Firefly AI Assistant autonomously selects which model to use for a given task, the commercial safety guarantees may vary depending on which engine it invokes. Costin pointed to Adobe's Content Credentials system — the metadata-and-fingerprinting framework developed through the Content Authenticity Initiative — as the mechanism for maintaining transparency. "The agentic power — and the fact that the assistant has access to all of those models — means it could decide to use a model that carries different content credentials," he acknowledged. "But with the transparency of content credentials, the user will know how a particular piece of content was created and can decide whether that's commercially safe or not." Adobe offers commercial indemnity for its first-party Firefly models but applies different indemnity levels for third-party models — a distinction that enterprise buyers, in particular, will need to carefully evaluate. Inside Adobe's active collaboration with Nvidia on long-running AI agent infrastructure Adobe's agentic ambitions also intersect with its strategic partnership with Nvidia, announced earlier this year at Nvidia’s GTC conference. When asked whether the Firefly AI Assistant's agentic capabilities are built on NVIDIA's agent toolkit and NeMo infrastructure, Costin revealed that the collaboration is active but has not yet made it into a shipping product. "We're in active discussions — investigating not only Nemotron," Costin said. "They have this technology called Open Shell and Nemo Claw, which give us the ability to efficiently run long-running agentic workflows in a sandboxed environment." He said the technology would become increasingly important as Adobe pushes the assistant to handle longer, more autonomous creative tasks — but cautioned that "it's not shipping yet. It's being actively explored." For Nvidia, which is building an ecosystem of enterprise AI agent platforms with partners like Adobe, Salesforce, and SAP, the partnership could eventually serve as a high-profile proof point for its agent infrastructure stack in the creative vertical. For Adobe, the ability to run complex, long-duration agentic workflows efficiently and securely in sandboxed environments could be the technical foundation that separates the Firefly AI Assistant from lighter-weight chatbot integrations offered by competitors. The partnership also signals Adobe's recognition that the computational demands of agentic AI — where a single user request may trigger dozens of model calls and tool invocations — require infrastructure partnerships that go well beyond what a software company can build alone. Premiere Pro's new color grading mode and the tools Adobe is shipping today Beyond the headline AI assistant announcement, Adobe's broader set of updates reflects a company trying to strengthen its position across every phase of the content creation pipeline. Color Mode in Premiere Pro may be the most significant near-term upgrade for working editors. Entering public beta today, Color Mode is described as a first-of-its-kind color grading experience built specifically for the way editors — rather than dedicated colorists — think and work. Adobe notes that it was developed through an extensive private beta with hundreds of working editors, and that participants reported they "actually enjoy color grading" — a sentiment suggesting Adobe may have found a way to democratize one of post-production's most intimidating disciplines. General availability is expected later in 2026. The Firefly Video Editor gains audio upgrades including the Enhance Speech feature migrated from Premiere and Adobe Podcast, direct Adobe Stock integration with access to more than 800 million licensed assets, and simple color adjustment controls with intuitive sliders and one-click looks. On the image editing front, Adobe introduced Precision Flow, which generates a range of semantic variations from a single prompt and lets users browse them via an interactive slider — a novel approach that Costin described as "the best slider-based control mixed with the best semantic understanding of not only the existing scene, but what the scene could be." AI Markup complements this by letting users draw directly on images to specify where and how edits should be applied. After Effects 26.2 adds an AI-powered Object Matte tool that dramatically accelerates rotoscoping and masking — create accurate mattes of moving subjects with a hover and click, refine with a Quick Selection brush, and perfect edges with a Refine Edge tool. Frame.io Drive wants to kill the shipped hard drive and make cloud media feel local Rounding out the announcements, Frame.io Drive addresses one of the most persistent pain points in distributed video production: getting media from point A to point B without losing hours — or days — to downloads, syncing, and shipped hard drives. Frame.io Drive is a desktop application that mounts Frame.io projects to a user's computer so media appears in Finder or Explorer and behaves like local files. The underlying technology, called Frame.io Mounted Storage, streams media on demand as applications request it, while local caching ensures smooth playback. The product builds on streaming technology provided by Suite Studios, and the real-time file access capability is included with every Frame.io account. Adobe emphasized that all content lives solely within Frame.io and is never shared with third parties. The move positions Frame.io not just as a review-and-approval tool at the end of the production pipeline but as the central media layer from the very beginning of a project — from first capture through final delivery. If successful, the strategy could significantly deepen Adobe's lock-in with professional video teams by making Frame.io the single source of truth for distributed productions. Frame.io Drive and Mounted Storage will roll out in phases, with Enterprise customers gaining access starting today and accounts on other plans following shortly. Others can join a waitlist. Adobe's biggest challenge isn't building the AI — it's convincing creators to trust it Taken together, today's announcements paint a picture of a company executing aggressively across multiple fronts — but also one that is navigating a complex moment. Adobe first introduced Firefly in March 2023 as a family of generative AI models focused on image and text effects, with a strong emphasis on commercial safety through training on licensed Adobe Stock content. In the two years since, the company has rapidly expanded into video generation, multi-model access, and now agentic workflows — a trajectory that mirrors the broader industry's shift from standalone AI features to AI-native systems. But the competitive field has grown dramatically. Runway, Pika, and a host of AI-native video generation startups have captured mindshare among creators. Canva has aggressively integrated AI into its design platform. And the emergence of powerful foundation models from OpenAI, Google, and Anthropic — the latter of which Adobe says it will integrate with Firefly AI Assistant capabilities — means the barrier to building creative AI tools has never been lower. Adobe is also navigating these product ambitions against a complex corporate backdrop: the impending departure of CEO Shantanu Narayen, an actively exploited zero-day vulnerability in Acrobat Reader (CVE-2026-34621) that had been used by hackers for months before being patched this week, a U.K. antitrust investigation over cancellation fees, and a recent $75 million lawsuit settlement. Adobe's response, articulated clearly through today's launches, is to lean into what it believes is its deepest moat: the integration of AI into a set of professional-grade, category-leading applications that no startup can replicate overnight. Costin framed the agentic transition as empowering rather than threatening to creative professionals, comparing Creative Skills to a next-generation version of Photoshop Actions — the macro-recording feature that has long allowed power users to automate repetitive tasks. "We want to help our customers become — from the ones doing all the work — to be creative directors, doing some of the work, but most importantly, guiding the assistant in executing some of those creative visions," he said. It is a compelling pitch — and, in its own way, a revealing one. For three decades, Adobe made its fortune by selling the tools that turned creative vision into finished pixels. Now it is asking its customers to let an AI agent handle more of that translation, trusting that the human role will shift from operating the tools to directing the outcome. Whether creators embrace that bargain — and whether Wall Street rewards it — will determine not just Adobe's trajectory but the shape of an entire industry learning to create alongside machines.
Can the traditional British tabloid survive the digital age?
Social media feeds, AI summaries and influencer-driven content are luring readers away
Sustained YouTube scraping claim in US a boost for creators; questions remain
Artificial intelligence music generator Udio failed to shrug off a claim that its YouTube scraping for AI training violates the US Digital Millennium Copyright Act.
Udio will continue to face DMCA claim over YouTube scraping, US judge orders
A US judge declined to dismiss claims that AI music company Udio violated the Digital Millennium Copyright Act by scraping songs from YouTube.
Ad Companies Settle With F.T.C. Over Claims of Harm to Conservative Sites
WPP, Dentsu and Publicis settled claims they colluded on policies to combat misinformation, denying ad revenue to publishers on the right.
Trump's AI image of himself as Jesus-like figure follows feud with Pope Leo | Reuters
April 13 (Reuters) - U.S. President Donald Trump posted an AI -generated image of himself as a Jesus-like figure on Sunday, drawing widespread criticism even from some religious conservatives who typically support him, before deleting the post on Monday.
Publicis posts 4.5% net revenue organic growth
Publicis on Tuesday reported first-quarter net revenue organic growth of 4. 5%, meeting company-provided consensus and outpacing advertising industry peers, as AI and acquisitions drove gains in key markets, including the U. S.
AI Influencers at Coachella
AI influencers are 'everywhere' at Coachella, as reported by The Verge.
Opinion | Can you spot a fake political ad? AI is making it harder.
Opinion | AI-generated political ads are coming. We’re not ready. - The Washington Post Democracy Dies in Darkness By Darrell M. West You’re reading Superintelligent, a newsletter about AI. Click here to get the full edition in your inbox. Darrell M. West is a senior fellow at the Brookings Institution’s Center for Technology Innovation and co-editor in chief of TechTank.
Everything Is A Story: Journalist Nick Bilton Thinks AI Might End Humanity & How Stories Could Save Us
This conversation explores the power of story — how tech titans like Jobs, Dorsey, and Musk wield narrative as a weapon, and why AI may be the first technology capable of wiping us off the face of the planet.
Elon Musk, Who Owns X, Appears to Post on TikTok
A verified account with the @elonmusk handle also recently showed up on Instagram, as the billionaire prepares to take his rocket company SpaceX public.
r/isthisAI on Reddit: Is this ai? Someone posted it in my university art class that does traditional art, not digital. Seems they also took a picture of the "drawing" rather than save it directly too.
The reason I suspect ai is because the entire artstyle and lining look like something from typical ai generated content. The circles within the motion also seem to be in random spots/not consistent.
US FTC in Settlement Talks with Ad Companies
The US FTC is in settlement talks with ad companies in a boycott probe, according to the Wall Street Journal.
How Similar Are Grokipedia and Wikipedia? A Multi-Dimensional Textual and Structural Comparison
arXiv:2510.26899v5 Announce Type: replace Abstract: The launch of Grokipedia, an AI-generated encyclopedia developed by Elon Musk's xAI, was presented as a response to perceived ideological and structural biases in Wikipedia, aiming to produce "truthful" entries using the Grok large language model. Yet whether an AI-driven alternative can escape the biases and limitations of human-edited platforms remains unclear. This study conducts a large-scale computational comparison of 17,790 matched article pairs from the 20,000 most-edited English Wikipedia pages. Using metrics spanning lexical richness, readability, reference density, structural features, and semantic similarity, we assess how closely the two platforms align in form and substance. We find that Grokipedia articles are substantially longer and contain significantly fewer references per word. Moreover, Grokipedia's content divides into two distinct groups: one that remains semantically and stylistically aligned with Wikipedia, and another that diverges sharply. Among the dissimilar articles, we observe a systematic rightward shift in the political bias of frequently cited news media sources, concentrated primarily in entries related to history and religion, and literature and art. More broadly, the findings indicate that AI-generated encyclopedic content departs from established editorial norms, favoring narrative expansion over citation-based verification, raising questions about transparency, provenance, and the governance of knowledge in automated information systems.
Meta poised to surpass Google in digital ad revenue
Meta is poised to surpass Google in digital ad revenue for the first time.
AI companies lean on Cox opinion in seeking dismissal of US copyright suits
Singapore AI firm Nanonoble argued that the Walt Disney Company’s contributory copyright infringement claims against it should be dismissed following the Supreme Court’s decision in Cox Communications v. Sony Music Entertainment.
Yes, But Not Always. Generative AI Needs Nuanced Opt-in
arXiv:2604.09413v1 Announce Type: new Abstract: This paper argues that a one-size-fits-all approach to specifying consent for the use of creative works in generative AI is insufficient. Real-world ownership and rights holder structures, the imitation of artistic styles and likeness, and the limitless contexts of use of AI outputs make the status quo of binary consent with opt-in by default untenable. To move beyond the current impasse, we consider levers of control in generative AI workflows at training, inference, and dissemination. Based on these insights, we position inference-time opt-in as an overlooked opportunity for nuanced consent verification. We conceptualize nuanced consent conditions for opt-in and propose an agent-based inference-time opt-in architecture to verify if user intent requests meet conditional consent granted by rights holders. In a case study for music, we demonstrate that nuanced opt-in at inference can account for established rights and re-establish a balance of power between rights holders and AI developers.
FTC in Settlement Talks With Ad Companies in Boycott Probe
The government began an inquiry last year into whether ad firms were funneling client dollars away from certain media platforms.
Is AI the greatest art heist in history?
New technologies of reproduction are plundering the art world – and getting away with it In 2026, its easy to see why generative AI is bad. The internet has nicknamed its excretions “slop”. The CEOs of AI companies prance about on stage like supervillains, bragging that their products will eliminate vast swathes of work.
Your Article About AI Doesn't Need AI Art
Your article about AI doesn’t need AI art
‘It has your name on it, but I don’t think it’s you’: how AI is impersonating musicians on Spotify
Fraudulent music streams have long been a scourge for the industry, but experts say generative AI has supercharged it
The Iranian Lego AI Video Creators
The Iranian Lego AI video creators credit their virality to 'heart'.
New Singer Dominating iTunes Chart Is AI; Soundbreak Puts Songwriters in Control
The latest generation of AI video tools can do almost anything except, it seems, behave the way musicians actually need them to.
How VC Money and Israel Outrage Derailed a Hot Hollywood Startup
After Sequoia Capital valued Mubi at $1 billion, a left-wing revolt sent the indie film company into a tailspin.
China issues draft rules to tighten oversight of AI virtual humans
China has released draft rules for digital virtual-human services, setting requirements for labeling, filing, and security assessments to balance innovation with regulatory oversight.
Imaginae Studios Unveils AI-Driven Series Animating Paintings
Imaginae Studios, Fremantle's AI-native IP label, launches its first project, 'Art Awakens,' a series animating famous paintings via generative AI.
A ProPublica strike spotlights tensions over AI in newsrooms - The Washington Post
Newsrooms around the country have struggled to set rules for AI . At ProPublica, which specializes in investigative journalism, the issue is especially fraught.
Reform UK voters least likely to see social media posts from family and friends, study finds
Thinktank says algorithms are fuelling isolation and division after analysing posts shown to social media users Reform UK voters are the least likely to see posts from friends and family on social media and most likely to see content from brands and news organisations, a study has found. The Institute for Public Policy Research (IPPR) thinktank said algorithms were fuelling isolation and division
Our Lab just posted a new research report from Zimran Ahmed about how the game industry is adapting to AI. He spoke to people at 20 different studios and found a wide range of approaches to adapt (or failures to adapt) to AI at the organizational level.
Our Lab just posted a new research report from Zimran Ahmed about how the game industry is adapting to AI. He spoke to people at 20 different studios and found a wide range of approaches to adapt (or failures to adapt) to AI at the organizational level. https://gail.wharton.upenn.edu/research-and-insights/beyond-copy-paste/
Over the Rainbow: The Intersection of AI and Entertainment
Paid Program: Over the Rainbow: The Intersection of AI and Entertainment # Over the Rainbow: The Intersection of AI and Entertainment Thanks to a close collaboration between creatives and technologists, a classic film became a modern immersive experience. Entertainment is one of the United States’ most successful industries, with American entertainment and media accounting for roughly a third of the global market. AI is poised to play a critical role in shepherding a new era of creativity for this industry, as illustrated by a partnership between Google and Sphere to bring “The Wizard of Oz” to life. In this interview, Jennifer Koester, president and chief operating officer, Sphere, and Oliver Parker, vice president, global generative AI GTM, Google Cloud, discuss the opportunities for AI to enhance the creative process, the importance of emotionally fulfilling entertainment experienc
The influencer economy’s invisible workers are first in line for the AI chop - Digital Trends
AI is starting to replace the hidden global workforce of clippers, editors, and virtual assistants that helped creators manufacture “organic” reach at scale.
taste.md - Pablo Stanley
So when tech people say “taste is the moat”... I think what they’re actually noticing is that AI defaults to the average. It converges on the most expected answer.
Adobe’s 30-Day Free AI Window Closed Today. Now Nobody Knows What an Edit Costs. | by Rahul Roy | Apr, 2026 | Medium
The counter hit zero this morning. Adobe’s 30-day window of unlimited generative AI in Photoshop ended on April 9, and now the credit system is back in play. I opened Photoshop earlier and sat there for a second before running a Generative Fill, genuinely unsure whether the action I was about to take would cost me one credit or ten.
Disney Planning Layoffs Under New CEO Josh D’Amaro
The entertainment company is preparing to eliminate as many as 1,000 positions in the coming weeks.
~77% of all new "Success" self-help books on Amazon are likely written by AI
A study suggests that a vast majority of new self-help books on Amazon are AI-generated, with some authors publishing at a rate of over one book per day.
77% of New Success Self-Help Books Are Likely Written by AI
~77% of all new 'Success' self-help books on Amazon are likely written by AI, with 1 author, Noah Felix Bennett, publishing a stunning 74 books in mid-2025 alone, at a rate of >1 per day.
77% of Success Self-Help Books Written by AI
~77% of all new 'Success' self-help books on Amazon are likely written by AI.
EU, UK digital rules fall short on AI overviews risks for news media, think tanks say
The EU’s Digital Markets Act and Digital Services Act, as well as the UK’s Online Safety Act, are not equipped to tackle the impact of AI overviews on news media companies.
TikTok Invests in AI Data Center
TikTok is set to build a second â¬1 billion data center in Finland to localize data and enhance privacy, addressing European regulatory concerns.
Content Platform GenAI Regulation via Compensation
arXiv:2604.06194v1 Announce Type: new Abstract: The use of Generative AI (GenAI) for creative content generation has gained popularity in recent years. GenAI allows creators to generate contents that are increasingly becoming indistinguishable to the human--generated counter--part at a much lower cost. While GenAI reshapes the competitive landscape of the contents market, the original creators were typically not compensated for their works that were used in the GenAI training. On the other hands, the wide--spread adoption of GenAI threatens to replace the human--generated shares of contents on content platforms, contaminating training data source for future GenAI models. In this paper, we argue that an unregulated usage of GenAI can also be harmful to the platform by causing a contents distribution distortion which can lower the consumers' engagement and the platform's profit. We show that a simple economically--driven creator compensation scheme, can incentivize more creation of high--value human--generated contents, without the need for an AI--detector. This reduces the data pollution for future GenAI training, while improves the consumer engagement and the platform's profit.
r/gaming on Reddit: Steam files suggest Valve is developing internal 'SteamGPT' AI bot — aimed at tackling customer support tickets and CS2 anti-cheat
Valve has 400 employees running a platform with 130 million active users. There's no version of that math where humans are handling most support tickets. The question was never 'will they use AI ,' it's whether they'll be honest about it or keep letting people think a person read their message.
Suno and major music labels reportedly clash over AI music sharing
Music labels and AI music generator Suno are in a dispute regarding the sharing and training of AI-generated music.
AI K-Pop Startup Galaxy Aims for IPO in Seoul, New York
Humanoid robots dressed in black, luxury hip-hop outfits snap into formation, moving in perfect sync to K-pop songs. It’s a simulation inside an office styled as a crash-landed spacecraft in the heart of Seoul’s financial district, complete with towering astronauts and floating robotic jellyfish.
Could AI ads be exposing your business to risks? - Lexology Pro
AI-generated ads are often cheaper and faster to produce, but the legal, regulatory and reputational risks cannot be ignored. Here’s how companies can ensure their AI-enabled marketing is responsible and complaint.
The Literary Job AI Can’t Replace
Ghostwriting is good, actually—when it’s done by humans.
Project GENIE: Building Playable Worlds
The Sequence Knowledge #838: Project GENIE: Building Playable Worlds from Pixels, a new development in AI technology.
Google's AI Ad Machine Rewrites Search Rules As Brands See Up To 80% Revenue Boost: 'Not Some Zero-Sum Game' | Benzinga
Google's AI Ad Machine Rewrites Search Rules As Brands See Up To 80% Revenue Boost: 'Not Some Zero-Sum Game' | Benzinga Skip to main content ## Market Overview Tickers, Articles and Keywords: ## Tickers ## Articles ## Keywords Search by keyword... googlecse {{following ? "Following" : "Follow"}} 472 Comments Share: The ad industry spent years debating whether AI would hollow out Google‘s GOOG) GOOGL) business. Instead, Google handed advertisers an AI toolkit and turned it into an opportunity. The company’s latest numbers tell the story plainly: ad revenue of $82.28 billion in Q4 2025, up 13.5% year over year, with total annual revenue crossing $400 billion
Bryson DeChambeau Leads Investor Group to Acquire Sportsbox AI
Bryson DeChambeau is spearheading an investor group that is acquiring Sportsbox AI, a company specializing in AI technology and 3D motion capture for mobile sports and fitness coaching and training applications. Terms of the deal were not disclosed but DeChambeau said the transaction is worth eight figures.
Spotify's AI Playlists Can Now Help You Discover Podcasts Using Prompts
Just describe the kind of podcasts you want to listen to, and Spotify will suggest shows. Looking for new podcasts? An update to Spotify’s Prompted Playlists feature might help. Prompted Playlists began rolling out to listeners in the US and Canada earlier this year. At launch, the AI-powered feature allowed you to find music using simple prompts, meaning you didn't need …
Report Reveals Creative Job Losses in California Not Linked to AI - El-Balad.com
Recent research from the Otis College of Art and Design highlights significant job losses within California’s creative economy that are not directly linked to the rise of generative AI. The report, titled “Creative Disruption: AI and California’s Creative Economy: 2022–2025,” sheds ...
BLK-Assist: A Methodological Framework for Artist-Led Co-Creation with Generative AI Models
arXiv:2604.03249v1 Announce Type: new Abstract: This paper presents BLK-Assist, a modular framework for artist-specific fine-tuning of diffusion models using parameter-efficient methods. The system is implemented as a case study with a single professional artist's proprietary corpus and consists of three components: BLK-Conceptor (LoRA-adapted conceptual sketch generation), BLK-Stencil (LayerDiffuse-based transparency-preserving asset generation), and BLK-Upscale (hybrid Real-ESRGAN and texture-conditioned diffusion for high-resolution outputs). We document dataset composition, preprocessing, training configurations, and inference workflows to enable reproducibility with publicly available models to illustrate a privacy-preserving, consent-based approach to human-AI co-creation that maintains stylistic fidelity to the source corpus and can be adapted for other artists under similar constraints.
Top record labels and start-up Suno hit impasse in AI-generated music talks
One executive says there is ‘no path’ towards licensing deal under current proposal
Can Humans Tell? A Dual-Axis Study of Human Perception of LLM-Generated News
arXiv:2604.03755v1 Announce Type: new Abstract: Can humans tell whether a news article was written by a person or a large language model (LLM)? We investigate this question using JudgeGPT, a study platform that independently measures source attribution (human vs. machine) and authenticity judgment (legitimate vs. fake) on continuous scales. From 2,318 judgments collected from 1,054 participants across content generated by six LLMs, we report five findings: (1) participants cannot reliably distinguish machine-generated from human-written text (p > .05, Welch's t-test); (2) this inability holds across all tested models, including open-weight models with as few as 7B parameters; (3) self-reported domain expertise predicts judgment accuracy (r = .35, p < .001) whereas political orientation does not (r = -.10, n.s.); (4) clustering reveals distinct response strategies ("Skeptics" vs. "Believers"); and (5) accuracy degrades after approximately 30 sequential evaluations due to cognitive fatigue. The answer, in short, is no: humans cannot reliably tell. These results indicate that user-side detection is not a viable defense and motivate system-level countermeasures such as cryptographic content provenance.
Savannah Guthrie Returns to ‘Today’
The anchor joined the show’s cast on Monday for the first time since the disappearance of her 84-year-old mother, Nancy, who remains missing.
Forget the A.I. Apocalypse. Memes Have Already Nuked Our Culture.
From our jokes and slang to the White House’s policy messaging, internet “brain rot” has escaped our phones to take over … well, everything.
I Tested Netflix’s First Open-Source AI Model. It Erased Objects From Video and Rewrote the Physics. | by PIXIPACE | Apr, 2026 | Medium
Netflix dropped VOID on April 3rd, 2026. It stands for Video Object and Interaction Deletion. That’s the dry version.
Netflix - yes Netflix - jumps on the AI bandwagon with video editor
Video-language model revises how objects interact when things get removed from a scene.
Influcio
AI marketing Agent for result-driven influencer campaign.
AI design platform Picsart launches a creator monetization program
Picsart is introducing a new program to help creators monetize their work on the AI-powered design platform.
AI and empathy define the next era of marketing systems | MarTech
The real opportunity with AI is not scale alone, but designing experiences that reduce friction and support both customers and teams.
The Future of Content Creation: Scaling Faceless YouTube Channels with YouTube Publisher AI Agent | by Malik Abualzait | Apr, 2026 | Medium
Sign up Get app Sign up # The Future of Content Creation: Scaling Faceless YouTube Channels with YouTube Publisher AI Agent 3 min read 14 hours ago -- Listen Share Press enter or click to view image in full size The digital content landscape is shifting beneath our feet. We are moving away from manually edited videos towards Autonomous Content Pipelines. The era of the “Faceless YouTube Channel” has arrived, and it’s being powered by sophisticated AI agents that can think, create, and publish without human intervention. At the forefront of this revolution in the Middle East is Malik Abualzait, an AI architect and expert whose latest project, YouTube Publisher AI, is setting a new standard for what’s possible in automated media production. ## The Visionary Behind the Tech: Malik Abualzait Based in the heart of the tech-evolving Middle East, Malik Abualzait has been engineerin
AI Risk Compression: How Data Is Transforming Product and Creative Strategies | Outlook Respawn
Anurag Choudhary explains how AI-driven analytics, predictive models, and rapid testing are transforming risk, investment, and team structures in creative tech.
Los Angeles Emerges as Major AI Hub With 10 Standout Companies Leading Innovation in 2026
LOS ANGELES — Once known primarily for Hollywood glamour and entertainment, Los Angeles has solidified its position as a thriving center for artificial intelligence innovation in 2026, attracting talent, investment and ambitious startups that blend cutting-edge technology with the city's creative
Digital Extremes Rejects AI in Game Development
Digital Extremes has pledged to avoid AI-generated content in its games, emphasizing a commitment to human craftsmanship and community trust.
Diffusion Models Explained: The Science Behind AI-Generated Images - Neural DeepLearn Academy
According to a McKinsey report on generative AI adoption, AI-generated visual content is projected to reduce creative production costs by 30–40% for large brand campaigns. The same report identified visual media as the category with the highest near-term ROI from generative AI investment. Medical research is an emerging application. At institutions affiliated with the NIH, researchers are using diffusion ...
FAQ on AI media buying: Platform tools, agency strategy, and how to win in 2026
From automated bidding tools offered by Google, Meta, and Amazon to emerging agentic AI systems designed for end-to-end campaign automation, AI is becoming embedded at every stage of the media buying process.
Associated Press starts offering buyouts to newspaper journalists amid wider AI transformation of the industry
The News Media Guild, the union that represents AP journalists, said more than 120 staff members received buyout offers on Monday.