Tootfinder

The UK’s creative industries face a “clear and present danger” from generative AI, a House of Lords committee has warned the government.
https://www.computing.co.uk/news/2026/ai/uk-at-fork-in-the-a…

UK is at a fork in the AI road, says House of Lords committee
The UK’s creative industries face a “clear and present danger” from generative AI, a House of Lords committee has warned the government.

I do so love this idea of using manual #typewriters as a way for students to understand life before our computers (and before #AI ) -

College instructor turns to typewriters to curb AI-written work
Once a semester, a Cornell University instructor requires her students to complete an in-class assignment using typewriters — an exercise to help them understand what writing, thinking and classrooms were like before everything turned digital. The exercise started in 2023, as Grit Mathias Phelps grew frustrated that her German language students were using generative AI and online translation platforms to churn out grammatically perfect assignments. The revival is part of a national trend towa…

"Cartography of generative AI"
#AI) has given rise to imaginaries that invite alien…

Nice, a uBlockOrigin blocklist for AI-based sites:
#AI #LLM

GitHub - Stevoisiak/Stevos-GenAI-Blocklist: Filter list for uBlock Origin to block website features that use Generative AI
Filter list for uBlock Origin to block website features that use Generative AI - Stevoisiak/Stevos-GenAI-Blocklist

Q&A with Terence Tao on AI-generated Erdős solutions, "cheap wins", hybrid human AI contributions, push-of-a-button workflows, new ways of doing math, and more (Matteo Wong/The Atlantic)
https://www.theatlantic.com/technology/2026/02/ai-math-terrance…

The Edge of Mathematics
Terence Tao, the legendary mathematician, explains the promise of generative AI.

Gary has a point, at the same it is not the whole story in my view. Regardless the scam and all the bad things, Generative AI has added value for me here and now. That doesn't diminish the scam and all the bad effects of the technology, still it is also a perspective.
https://garymarcus.substack.c…

Turns out Generative AI was a scam
Or at least very very far from what it has been cracked up to be

[OT] Latest Firefox browser: block generative AI features with Firefox AI controls #AI

I hope my middle age crisis won’t involve generative ai addiction, but instead something more cliche like buying a reflex or growing a prestigious mustache

48 hour film festival's AI rule. I think it says a lot as to what is and isn't allowed. Some of it might just be pragmatic, but some of it may also reflect values of what is considered central and what more peripheral?

“Big Tech’s AI hype is distracting users from the rapid and dangerous expansion of giant, energy and water-intensive data centres […].
There is simply no evidence that AI will help the climate more than it will harm it.
Rather than relying on credible and substantiated data, Big Tech companies are writing themselves a blank cheque to pollute on the empty promise of future salvation. We cannot bet the climate on these baseless claims.”

If you don’t have the resources to write and understand the code yourself, you don’t have the resources to maintain it either.
Any monkey with a keyboard can write code. Writing code has never been hard. People were churning out crappy code en masse way before generative AI and LLMs. I know because I’ve seen it, I’ve had to work with it, and I no doubt wrote (and continue to write) my share of it.
What’s never been easy, and what remains difficult, is figuring out the right probl…

Moment of Gratitude, this time for GitHub.com
I have been having fun with claude-code and have been using github in ways I did not know existed (like hosting docker images), and so easy! (and, I think, for free)
Thank you GitHub!
https://brewster.kahle.org/2026/02/01…

It’s still early, but here's a draft of my book, The Generative Unconscious. The title invokes Jameson’s Political Unconscious to name how the ideological and historical forces shaping culture below the threshold of awareness are now encoded as statistical distributions across billions of parameters. The book isn't about whether AI is good or evil, but about why it provokes such anxiety by making us see the human in the nonhuman.

"Mining the commons: AI extraction, Wikipedia, and the case for a multi-stakeholder settlement"
https://policyreview.info/articles/news/commons-ai-extraction-wikipedia/2089
[via

“What is different about generative AI is the power density it requires.
Fundamentally, it is just computing, but a generative AI training cluster might consume seven or eight times more energy than a typical computing workload”
https://news.mit.edu/2025/explained-ge

Explained: Generative AI’s environmental impact
MIT News explores the environmental and sustainability implications of generative AI technologies and applications.

You know, it’s hard enough to live life in 2026 without having to determine whether every single thing said to you is an outright lie. Guess what generative AI does, though! 😭

Ars Technica publishes its AI policy, saying its editorial text is written by humans, but reporters may use AI tools vetted and approved to assist with research (Ken Fisher/Ars Technica)
https://arstechnica.com/staff/2026/04/our-newsroom-ai-policy/

Our newsroom AI policy
How Ars Technica uses, and doesn't use, generative AI.

Some rando on the Internet wrote about my likely future: Burnout caused by the “AI” usage of co-workers.
https://ky.fyi/posts/ai-burnout
Maybe this will be your future, too. Caving in and using generative “AI” tools is not a healthy alternative:
A recent MIT Media Lab study report…

'To illustrate the scale of AI’s pricing mismatch, I’m going to ask you to imagine an alternate history where Uber had a very different business model.
Generative AI subscriptions are like if Uber charged users $20 a month for 100 rides of any distance under 100 miles, and if gas was $150 a gallon, and Uber paid for the gas because somebody insisted that oil would one day be too cheap to meter.'
Sounds about right... 🫣

"Claims that AI can help fix climate dismissed as greenwashing"
#AI #ArtificialIntelligence #Greenwashing

Amazon will invest $15B in OpenAI initially, followed by $35B if certain conditions are met; OpenAI commits to consuming ~2 GW of Trainium capacity through AWS (About Amazon)
https://www.aboutamazon.com/news/aws/amazon-open-ai-strategic-partnership-invest…

Amazon, OpenAI announce strategic partnership
Amazon Web Services (AWS) and OpenAI will co-create a Stateful Runtime Environment powered by OpenAI models, available on Amazon Bedrock for AWS customers to build generative AI applications and agents at production scale.

RE: https://mastodon.social/@Blender/116500204687984724
Happy to hear this, and about what seems to be better scrutiny in the future about funding.
"Blender is a tool for artists and creators, it’s made by humans for humans. No generative AI fun…

Governing Generative AI: Epistemic Risks in Knowledge Production and Decision Making
<https://www.sciencedirect.com/special-issue/332909/governing-generative-ai-epistemic-risks-in-knowledge-production-a…

I could go on for hours about all the ethical/moral/environmental/whatever issues with #AI, but it’s entirely irrelevant and I’ll tell you why. Generative AI works by getting the average of things, and it’s trying to replace humans. There is no average human. We’re all beautifully, naturally imperfect, and that’s something an artificial machine will never be able to replicate.

„This means that a large part [of] AI compute revenue is dependent on a continual flow of venture capital and debt, both of which are only made possible by investors that still believe that generative AI will be the biggest, most hugest thing in the world“
https://www.wheresyoured.at/ais-economics-

Global data protection authorities warn generative AI companies against replicating real people https://therecord.media/data-protection-authorities-warn-ai-companies-of-sharing-images

This Scammer Used an AI-Generated MAGA Girl to Grift ‘Super Dumb’ Men | WIRED https://www.wired.com/story/ai-generated-maga-girls/ "Emily Hart is one of a slew of AI-generated hot girl MAGA influencers inundating social media, thanks to technologically savvy young men like Sam…

This Scammer Used an AI-Generated MAGA Girl to Grift ‘Super Dumb’ Men
A med student says he’s made thousands of dollars selling photos and videos of a young conservative woman he created using generative tools. He’s not alone.

Lishuang Shen will speak on '“Millions-to-One, Words-to-Terms” – Generative AI Tools in Action for Rare Disease Diagnosis and Patient Data Harmonization' as part of our Applied Science track at SCaLE 23x. Full details: https://www.socallinuxexpo.org/scale/23x

We’ve chosen the paper for @… next week (February 23rd): “Hallucinating with AI: AI Psychosis as Distributed Delusions” by Lucy Osler.
(Is it this Lucy Osler: @…? We think so!)
We’ll have copies to give out tonight (6 PM, Vi…

On March 9th I’m helping launch AI Foundations for Educators, a 5-week online course that goes beyond workshop-level knowledge to guide teachers and school staff in developing a personalized framework for adapting classrooms to AI.
It’s a pilot module for a planned online certificate on generative AI; would count as credit toward that graduate credential. Open to anyone with a BA.

Claims that #AI can help fix climate dismissed as #greenwashing https://www.theguardian.com/technology/2026/feb/17/tech-companies-traditional-ai-generative-climate-breakdown-report?CMP=Share_AndroidApp_Other

Koah, which embeds sponsored ads directly into AI chatbots and aims to build an AdSense for AI, raised a $20.5M Series A led by Theory Ventures (Trishla Ostwal/Adweek)
https://www.adweek.com/media/koah-adsense-for-chatgpt-series-a/

Koah Raises $20.5M to Build a AdSense for AI as Chatbots Scutter for Revenue
The two-sided marketplace connects AI apps with advertisers, betting that native ads–not subscriptions– will fund generative AI’s future.

An Open Letter to Georgetown Students, In Response to Recent Announcements by the University about “Generative AI”
https://medium.com/center-on-privacy-technology/an-open-letter-to-geor…

I’m going to respond in a long thread to @… ’s “Ought You Use a Generative Model,” because doing so crystallizes a bunch of my thoughts on AI and ethics. Apologies for the extra thumb movements if you follow me and aren’t interested! 1/24

Questo truffatore ha usato una ragazza #MAGA generata dall'IA per raggirare uomini "super stupidi".

Uno studente di medicina afferma di aver guadagnato migliaia di dollari vendendo foto e video di una giovane donna conservatrice da lui creata utilizzando strumenti di grafica generativa. E non è il solo.

Koah, which embeds sponsored ads directly into AI chatbots and aims to build an AdSense for AI, raised a $20.5M Series A led by Theory Ventures (Trishla Ostwal/Adweek)
https://www.adweek.com/media/koah-adsense-for-chatgpt-series-a/

Koah Raises $20.5M to Build a AdSense for AI as Chatbots Scutter for Revenue
The two-sided marketplace connects AI apps with advertisers, betting that native ads–not subscriptions– will fund generative AI’s future.

Replaced article(s) found for econ.TH. https://arxiv.org/list/econ.TH/new
[1/1]:
- Human Misperception of Generative-AI Alignment: A Laboratory Experiment
Kevin He, Ran Shorrer, Mengjia Xia
https://arxiv.org/abs/2502.14708 https://mastoxiv.page/@arXiv_econTH_bot/114040735507903818
- Optimal Procurement Design: A Reduced-Form Approach
Kun Zhang
https://arxiv.org/abs/2504.15555 https://mastoxiv.page/@arXiv_econTH_bot/114386070253243701
- Nondistortionary belief elicitation
Marcin P\k{e}ski, Colin Stewart
https://arxiv.org/abs/2506.12167 https://mastoxiv.page/@arXiv_econTH_bot/114698133040888130
- Exploring the conditions for sustainability with open-ended innovation
Debora Princepe, Cristobal Qui\~ninao, Cristina D\'iaz Faloh, Pablo A. Marquet, Matteo Marsili
https://arxiv.org/abs/2510.01085 https://mastoxiv.page/@arXiv_physicssocph_bot/115303700316225913
toXiv_bot_toot

A Deep Generative Model that Uses Physical Quantities to Generate and Retrieve #Solar Magnetic Active Regions: https://iopscience.iop.org/article/10.3847/1538-4365/ae47d9 -> SwRI harnesses AI to find meaningful matches in solar data: https://www.swri.org/newsroom/press-releases/swri-harnesses-ai-find-meaningful-matches-solar-data

Fake AI-generated video clip of an elderly blind man seeing his wife after receiving a brain implant for restoring his vision. Will we still know what is real? Reminiscent of the Argus II media coverage before the rise of generative AI https://www.youtube.com/watch?v=CiyGOUHD2nI

While Wikimedia content is free, the infrastructure that serves it is not.
Thanks to improvements in bot detection, more than *2 billion* requests per day get currently blocked, which would have otherwise caused further strain on the infrastructure.
https://

Quo Vadis, Crawlers? Progress and what’s next on safeguarding our infrastructure
One year ago, the Wikimedia Foundation reported a significant increase in bot traffic to the Wikimedia projects, largely coming from crawlers who extract content to train generative AI systems. We …

From synthetic turbulence to true solutions: A deep diffusion model for discovering periodic orbits in the Navier-Stokes equations
Jeremy P Parker, Tobias M Schneider
https://arxiv.org/abs/2602.23181 https://arxiv.org/pdf/2602.23181 https://arxiv.org/html/2602.23181
arXiv:2602.23181v1 Announce Type: new
Abstract: Generative artificial intelligence has shown remarkable success in synthesizing data that mimic complex real-world systems, but its potential role in the discovery of mathematically meaningful structures in physical models remains underexplored. In this work, we demonstrate how a generative diffusion model can be used to uncover previously unknown solutions of a nonlinear partial differential equation: the two-dimensional Navier-Stokes equations in a turbulent regime. Trained on data from a direct numerical simulation of turbulence, the model learns to generate time series that resemble physically plausible trajectories. By carefully modifying the temporal structure of the model and enforcing the symmetries of the governing equations, we produce synthetic trajectories that are periodic in time, despite the fact that the training data did not contain periodic trajectories. These synthetic trajectories are then refined into true solutions using an iterative solver, yielding 111 new periodic orbits (POs) with very short periods. Our results reveal a previously unobserved richness in the PO structure of this system and suggest a broader role for generative AI: not as replacements for simulation and existing solvers, but as a complementary tool for navigating the complex solution spaces of nonlinear dynamical systems.
toXiv_bot_toot

Generative "AI" has no idea what it is doing, a story in four images.
The first image is my original drawing (a Venn diagram) with a white background. The second is the same image after I removed the background using GIMP, i.e., made the background layer transparent. The third image is an effort by the "AI system" that is offered as part of my Wordpress setup to create a transparent background. In fact, it has created a new background that is a grey and white grid, a…

Part of the reason I find generative "AI" peddlers so tiresome, I suspect, is that they regurgitate so much of the playbook of the worst Hegelian/Marxist cliché.
"Follow me, for I represent the FUTURE! How do I know the future, or why do I think the future is better than the present, you ask? Shut up, traitor!"
Do we really have to have this debate all over again?
Anyway, I've added a couple quotations from

Karl Popper: Difference between revisions - Wikiquote

Russian-speaking hackers used gen AI tools to compromise 600 firewalls, Amazon says https://therecord.media/gen-ai-fortigate-hackers-russia

reminder that no matter how funny that translator may be, generative AI is still awful and immoral and Kagi kinda sucks balls too[1]. thank you for your attention
1. https://d-shoot.net/kagi.html

Japan's Sakana AI launches Sakana Chat, its first consumer chatbot, marking a shift from its business focus as competition to localize generative AI intensifies (Tsubasa Suruga/Nikkei Asia)
https://asia.nikkei.com/business/techn

Sakana AI enters chatbot race with Japan-tailored model
Tokyo-based startup bets on cultural alignment to stand out in crowded field

Here's the thing about generative AI in particular & intellectual property theft. When it comes to IP theft, I am very much for it when you're punching up. By all means, torrent that Amazon movie or download that new album*. Rip off Disney. Share things you enjoy with others.
AI IP theft is very much punching down. Well-funded companies ripping off the commons. Using AI helps them.
* I do try to support smaller artists via bandcamp fridays, or going to their shows an…

Crosslisted article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[2/2]:
- The Geometry of Harmful Intent: Training-Free Anomaly Detection via Angular Deviation in LLM Resi...
Isaac Llorente-Saguer
https://arxiv.org/abs/2603.27412 https://mastoxiv.page/@arXiv_csLG_bot/116323180390164201
- LongCat-Next: Lexicalizing Modalities as Discrete Tokens
Meituan LongCat Team, et al.
https://arxiv.org/abs/2603.27538 https://mastoxiv.page/@arXiv_csCV_bot/116323299668026852
- Emergent Social Intelligence Risks in Generative Multi-Agent Systems
Huang, Jiang, Wang, Zhuang, Luo, Ma, Xu, Chen, Moniz, Lin, Chen, Chawla, Dziri, Sun, Zhang
https://arxiv.org/abs/2603.27771 https://mastoxiv.page/@arXiv_csMA_bot/116322908437739020
- KVSculpt: KV Cache Compression as Distillation
Bo Jiang, Sian Jin
https://arxiv.org/abs/2603.27819 https://mastoxiv.page/@arXiv_csLG_bot/116323241993833314
- Q-Bridge: Code Translation for Quantum Machine Learning via LLMs
Runjia Zeng, Priyabrata Senapati, Ruixiang Tang, Dongfang Liu, Qiang Guan
https://arxiv.org/abs/2603.27836 https://mastoxiv.page/@arXiv_quantph_bot/116323164660887506
- EffiSkill: Agent Skill Based Automated Code Efficiency Optimization
Zimu Wang, Yuling Shi, Mengfan Li, Zijun Liu, Jie M. Zhang, Chengcheng Wan, Xiaodong Gu
https://arxiv.org/abs/2603.27850 https://mastoxiv.page/@arXiv_csSE_bot/116322989347928729
- Efficient Inference of Large Vision Language Models
Surendra Pathak
https://arxiv.org/abs/2603.27960 https://mastoxiv.page/@arXiv_csLG_bot/116323256085918152
- CDH-Bench: A Commonsense-Driven Hallucination Benchmark for Evaluating Visual Fidelity in Vision-...
Kesheng Chen, Yamin Hu, Qi Zhou, Zhenqian Zhu, Wenjian Luo
https://arxiv.org/abs/2603.27982 https://mastoxiv.page/@arXiv_csCV_bot/116323319000206060
- MOSS-VoiceGenerator: Create Realistic Voices with Natural Language Descriptions
Huang, Fan, Jiang, Jiang, Tu, Zhu, Zhang, Zhao, Yang, Fei, Li, Yang, Cheng, Qiu
https://arxiv.org/abs/2603.28086 https://mastoxiv.page/@arXiv_csSD_bot/116322971980743316
- Does Claude's Constitution Have a Culture?
Parham Pourdavood
https://arxiv.org/abs/2603.28123 https://mastoxiv.page/@arXiv_csCY_bot/116322911684465443
- MiroEval: Benchmarking Multimodal Deep Research Agents in Process and Outcome
Fangda Ye, et al.
https://arxiv.org/abs/2603.28407 https://mastoxiv.page/@arXiv_csAI_bot/116323220038984883
- IsoQuant: Hardware-Aligned SO(4) Isoclinic Rotations for LLM KV Cache Compression
Zhongping Ji
https://arxiv.org/abs/2603.28430 https://mastoxiv.page/@arXiv_csLG_bot/116323286231537351
- Entropic Claim Resolution: Uncertainty-Driven Evidence Selection for RAG
Davide Di Gioia
https://arxiv.org/abs/2603.28444 https://mastoxiv.page/@arXiv_csAI_bot/116323220366355511
- Moving Beyond Review: Applying Language Models to Planning and Translation in Reflection
Seyed Parsa Neshaei, Richard Lee Davis, Tanja K\"aser
https://arxiv.org/abs/2603.28596 https://mastoxiv.page/@arXiv_csHC_bot/116323161382060848
- ResAdapt: Adaptive Resolution for Efficient Multimodal Reasoning
Huanxuan Liao, Zhongtao Jiang, Yupu Hao, Yuqiao Tan, Shizhu He, Jun Zhao, Kun Xu, Kang Liu
https://arxiv.org/abs/2603.28610 https://mastoxiv.page/@arXiv_csCV_bot/116323344559859277
- The Ultimate Tutorial for AI-driven Scale Development in Generative Psychometrics: Releasing AIGE...
Lara Russell-Lasalandra, Hudson Golino, Luis Eduardo Garrido, Alexander P. Christensen
https://arxiv.org/abs/2603.28643 https://mastoxiv.page/@arXiv_csAI_bot/116323236095523987
- SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning
Philip Schroeder, Thomas Weng, Karl Schmeckpeper, Eric Rosen, Stephen Hart, Ondrej Biza
https://arxiv.org/abs/2603.28730 https://mastoxiv.page/@arXiv_csRO_bot/116323253135037252
- ParaSpeechCLAP: A Dual-Encoder Speech-Text Model for Rich Stylistic Language-Audio Pretraining
Anuj Diwan, Eunsol Choi, David Harwath
https://arxiv.org/abs/2603.28737 https://mastoxiv.page/@arXiv_eessAS_bot/116322903493463665
toXiv_bot_toot

✍️ New post: The Shape of Friction
I wrote a short blog post reply to @…’s recent post (👏) about generative AI, friction, and people.
https://matthiasott.com/notes/the-shap…

The Shape of Friction · Matthias Ott
Web design engineer, UX designer, teacher, and speaker – helping teams build websites and digital products with a focus on CSS, accessibility, and performance.

The "GenAI" buzzword has been astroturfed to confuse the uninitiated between generative AI and general AI.

On Agentic Behavioral Modeling
Dirk Ostwald, Rasmus Bruckner, Franziska Us\'ee, Belinda Fleischmann, Joram Soch, Sean Mulready
https://arxiv.org/abs/2604.27894 https://arxiv.org/pdf/2604.27894 https://arxiv.org/html/2604.27894
arXiv:2604.27894v1 Announce Type: new
Abstract: Integrating theoretical neuroscience, decision theory, and probabilistic inference offers a promising route to understanding human cognition, yet concrete methodological bridges between agentic AI models and behavioral data analysis remain formally underdeveloped. We advance this synthesis under the framework of agentic behavioral modeling (ABM), which treats artificial agents as latent, generative hypotheses about cognitive mechanisms and evaluates them by their statistical adequacy in explaining human behavior. After outlining its conceptual foundations, we apply the framework to two minimal laboratory paradigms: a binary perceptual contrast-discrimination task and a symmetric two-armed bandit learning task. We formalize each task-agent-data system as a joint probability model, derive explicit conditional log-likelihoods for behavioral inference, validate different model variants using model and parameter recovery simulations, and evaluate them in light of empirical data. Using these minimal examples, we provide an agent-centric interpretation of the psychometric function, derive optimal policies for both tasks, and show the equivalence between Rescorla-Wagner learning and Bayesian inference in symmetric bandits. More broadly, this work may serve as a conceptual and practical foundation for applying ABM to cognitive behavioral science.
toXiv_bot_toot

Today for the first time ever I added fake film grain in post while editing my photos.
I reached the point where noise reduction in low light situations makes my photos look noticeably worse, especially when people are involved. They start looking like wax figures and I hate that.
At the same time, as a digital kid, I wasn't a fan of adding fake grain to my photos. Everyone and their dog knows I don't shoot film. And what's the point of making my photos look worse.
Today something clicked in my brain and I decided I'd rather have some texture and deliberate imperfection in my pictures.
Especially when all this generative AI bullshit these days is about making things look so smooth and perfect it hurts.

Sowohl die Begeisterung über generative KI als auch der kulturelle wie technische und klimatechnische Aufschrei sind zur Zeit weiterhin groß.
Wir sollten uns Gedanken machen, was nach dem Crash in den rauchenden Trümmern überlebt und was Politik und AI-Firmen auf dem Weg dahin alles an Schaden anrichten können. Denn wir als Gesellschaft werden lernen mit KI¹ umzugehen, uns zu ihr zu verhalten, und das wird ähnlich schrecklich wie mit dieser „Digitalisierung“. Der Großteil dieser sogena…

Nvidia says game developers have full "artistic control over DLSS 5's effects", following backlash alleging that the AI upscaling tech altered source material (Tyler Wilde/PC Gamer)
https://www.pcgamer.com/soft…

DLSS 5 clearly overwrites game characters with AI beauty standards, but Nvidia says devs have 'artistic control'
The first demo for Nvidia's new AI rendering technique doesn't do much to combat the perception that generative AI homogenizes artwork.

Following Disney, Paramount sent a cease-and-desist letter to ByteDance, alleging its AI-generated Seedance videos and Seedream images infringed Paramount's IP (Todd Spangler/Variety)
https://variety.com/2026/film/news/par

Paramount, Disney Send ByteDance Seedance AI Cease-and-Desist Letters
Paramount Skydance accused ByteDance of engaging in "blatant infringement" of its intellectual property with its Seedance video and Seedream image generative AI platforms.

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[4/6]:
- Neural Proposals, Symbolic Guarantees: Neuro-Symbolic Graph Generation with Hard Constraints
Chuqin Geng, Li Zhang, Mark Zhang, Haolin Ye, Ziyu Zhao, Xujie Si
https://arxiv.org/abs/2602.16954 https://mastoxiv.page/@arXiv_csLG_bot/116102434757760085
- Multi-Probe Zero Collision Hash (MPZCH): Mitigating Embedding Collisions and Enhancing Model Fres...
Ziliang Zhao, et al.
https://arxiv.org/abs/2602.17050 https://mastoxiv.page/@arXiv_csLG_bot/116102517335590034
- MASPO: Unifying Gradient Utilization, Probability Mass, and Signal Reliability for Robust and Sam...
Fu, Lin, Fang, Zheng, Hu, Shao, Qin, Pan, Zeng, Cai
https://arxiv.org/abs/2602.17550 https://mastoxiv.page/@arXiv_csLG_bot/116102581561441103
- A Theoretical Framework for Modular Learning of Robust Generative Models
Corinna Cortes, Mehryar Mohri, Yutao Zhong
https://arxiv.org/abs/2602.17554 https://mastoxiv.page/@arXiv_csLG_bot/116102582216715527
- Multi-Round Human-AI Collaboration with User-Specified Requirements
Sima Noorani, Shayan Kiyani, Hamed Hassani, George Pappas
https://arxiv.org/abs/2602.17646 https://mastoxiv.page/@arXiv_csLG_bot/116102592047544971
- NEXUS: A compact neural architecture for high-resolution spatiotemporal air quality forecasting i...
Rampunit Kumar, Aditya Maheshwari
https://arxiv.org/abs/2602.19654 https://mastoxiv.page/@arXiv_csLG_bot/116125610403473755
- Augmenting Lateral Thinking in Language Models with Humor and Riddle Data for the BRAINTEASER Task
Mina Ghashami, Soumya Smruti Mishra
https://arxiv.org/abs/2405.10385 https://mastoxiv.page/@arXiv_csCL_bot/112472190479013167
- Watermarking Language Models with Error Correcting Codes
Patrick Chao, Yan Sun, Edgar Dobriban, Hamed Hassani
https://arxiv.org/abs/2406.10281 https://mastoxiv.page/@arXiv_csCR_bot/112636307340218522
- Learning to Control Unknown Strongly Monotone Games
Siddharth Chandak, Ilai Bistritz, Nicholas Bambos
https://arxiv.org/abs/2407.00575 https://mastoxiv.page/@arXiv_csMA_bot/112715733875586837
- Classification and reconstruction for single-pixel imaging with classical and quantum neural netw...
Sofya Manko, Dmitry Frolovtsev
https://arxiv.org/abs/2407.12506 https://mastoxiv.page/@arXiv_quantph_bot/112806295477530195
- Statistical Inference for Temporal Difference Learning with Linear Function Approximation
Weichen Wu, Gen Li, Yuting Wei, Alessandro Rinaldo
https://arxiv.org/abs/2410.16106 https://mastoxiv.page/@arXiv_statML_bot/113350611306532443
- Big data approach to Kazhdan-Lusztig polynomials
Abel Lacabanne, Daniel Tubbenhauer, Pedro Vaz
https://arxiv.org/abs/2412.01283 https://mastoxiv.page/@arXiv_mathRT_bot/113587812663608119
- MoEMba: A Mamba-based Mixture of Experts for High-Density EMG-based Hand Gesture Recognition
Mehran Shabanpour, Kasra Rad, Sadaf Khademi, Arash Mohammadi
https://arxiv.org/abs/2502.17457 https://mastoxiv.page/@arXiv_eessSP_bot/114069047434302054
- Tightening Optimality gap with confidence through conformal prediction
Miao Li, Michael Klamkin, Russell Bent, Pascal Van Hentenryck
https://arxiv.org/abs/2503.04071 https://mastoxiv.page/@arXiv_statML_bot/114120074927291283
- SEED: Towards More Accurate Semantic Evaluation for Visual Brain Decoding
Juhyeon Park, Peter Yongho Kim, Jiook Cha, Shinjae Yoo, Taesup Moon
https://arxiv.org/abs/2503.06437 https://mastoxiv.page/@arXiv_csCV_bot/114142690988862508
- How much does context affect the accuracy of AI health advice?
Prashant Garg, Thiemo Fetzer
https://arxiv.org/abs/2504.18310 https://mastoxiv.page/@arXiv_econGN_bot/114414380916957986
- Reproducing and Improving CheXNet: Deep Learning for Chest X-ray Disease Classification
Daniel J. Strick, Carlos Garcia, Anthony Huang, Thomas Gardos
https://arxiv.org/abs/2505.06646 https://mastoxiv.page/@arXiv_eessIV_bot/114499319986528625
- Sharp Gaussian approximations for Decentralized Federated Learning
Soham Bonnerjee, Sayar Karmakar, Wei Biao Wu
https://arxiv.org/abs/2505.08125 https://mastoxiv.page/@arXiv_statML_bot/114505047719395949
- HoloLLM: Multisensory Foundation Model for Language-Grounded Human Sensing and Reasoning
Chuhao Zhou, Jianfei Yang
https://arxiv.org/abs/2505.17645 https://mastoxiv.page/@arXiv_csCV_bot/114572928659057348
- A Copula Based Supervised Filter for Feature Selection in Diabetes Risk Prediction Using Machine ...
Agnideep Aich, Md Monzur Murshed, Sameera Hewage, Amanda Mayeaux
https://arxiv.org/abs/2505.22554 https://mastoxiv.page/@arXiv_statML_bot/114589983451462525
- Synthesis of discrete-continuous quantum circuits with multimodal diffusion models
Florian F\"urrutter, Zohim Chandani, Ikko Hamamura, Hans J. Briegel, Gorka Mu\~noz-Gil
https://arxiv.org/abs/2506.01666 https://mastoxiv.page/@arXiv_quantph_bot/114618420761346125
toXiv_bot_toot

Replaced article(s) found for econ.TH. https://arxiv.org/list/econ.TH/new
[1/1]:
- Human Misperception of Generative-AI Alignment: A Laboratory Experiment
Kevin He, Ran Shorrer, Mengjia Xia

Donald Knuth is quite enthusiastic about his recent experiences with generative AI: #Knuth

Even at an extraordinarily smart event as #FOSSBackstage , people keep asking "Yeah but couldn't we do this [task that requires care, understanding and commitment] with generative AI?" and I am f*ing sick of it. If the task could not have been automated before the advent of "AI", then it should not be automated now. Just be a decent person put in the human work alrea…

Generative "AI" has no idea what it is doing, a story in four images.
The first image is my original drawing (a Venn diagram) with a white background. The second is the same image after I removed the background using GIMP, i.e., made the background layer transparent. The third image is an effort by the "AI system" that is offered as part of my Wordpress setup to create a transparent background. In fact, it has created a new background that is a grey and white grid, a…

Democratizing AI: A Comparative Study in Deep Learning Efficiency and Future Trends in Computational Processing
Lisan Al Amin, Md Ismail Hossain, Rupak Kumar Das, Mahbubul Islam, Saddam Mukta, Abdulaziz Tabbakh
https://arxiv.org/abs/2603.20920 https://arxiv.org/pdf/2603.20920 https://arxiv.org/html/2603.20920
arXiv:2603.20920v1 Announce Type: new
Abstract: The exponential growth in data has intensified the demand for computational power to train large-scale deep learning models. However, the rapid growth in model size and complexity raises concerns about equal and fair access to computational resources, particularly under increasing energy and infrastructure constraints. GPUs have emerged as essential for accelerating such workloads. This study benchmarks four deep learning models (Conv6, VGG16, ResNet18, CycleGAN) using TensorFlow and PyTorch on Intel Xeon CPUs and NVIDIA Tesla T4 GPUs. Our experiments demonstrate that, on average, GPU training achieves speedups ranging from 11x to 246x depending on model complexity, with lightweight models (Conv6) showing the highest acceleration (246x), mid-sized models (VGG16, ResNet18) achieving 51-116x speedups, and complex generative models (CycleGAN) reaching 11x improvements compared to CPU training. Additionally, in our PyTorch vs. TensorFlow comparison, we observed that TensorFlow's kernel-fusion optimizations reduce inference latency by approximately 15%. We also analyze GPU memory usage trends and projecting requirements through 2025 using polynomial regression. Our findings highlight that while GPUs are essential for sustaining AI's growth, democratized and shared access to GPU resources is critical for enabling research innovation across institutions with limited computational budgets.
toXiv_bot_toot

isn't it crazy how I can write an essay with a pen and paper or a typewriter or a computer and it still sounds like me but the second I copy-and-paste a wikipedia article it sounds different? what gives? I thought plagiarism was just another tool?

Peacock adds a new feature to its app that uses AI to curate personalized vertical video playlists, narrated by a generative AI avatar of host Andy Cohen (Lauren Forristal/TechCrunch)
https://techcrunch.com/2026/03/13/peacock-expand…

Peacock expands into AI-driven video, mobile-first live sports, and gaming | TechCrunch
Peacock is betting on new AI-powered video experiences, vertical clips, and mobile games to help its growth.

I wonder if consciously avoiding the style and patterns frequently applied by generative AI might be triggering some kind of forced language evolution. Previously considered best practices that are now shunned to not sound like a machine.
#language #linguistics

Following Disney, Paramount sent a cease-and-desist letter to ByteDance, alleging its AI-generated Seedance videos and Seedream images infringed Paramount's IP (Todd Spangler/Variety)
https://variety.com/2026/film/news/par

Paramount, Disney Send ByteDance Seedance AI Cease-and-Desist Letters
Paramount Skydance accused ByteDance of engaging in "blatant infringement" of its intellectual property with its Seedance video and Seedream image generative AI platforms.

Crosslisted article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[1/2]:
- Bridge-RAG: An Abstract Bridge Tree Based Retrieval Augmented Generation Algorithm With Cuckoo Fi...
Li, Liu, Zong, Tao, Dai, Ren, Liu, Jiang, Yang
https://arxiv.org/abs/2603.26668 https://mastoxiv.page/@arXiv_csIR_bot/116322781593134028
- SRAG: RAG with Structured Data Improves Vector Retrieval
Shalin Shah, Srikanth Ryali, Ramasubbu Venkatesh
https://arxiv.org/abs/2603.26670 https://mastoxiv.page/@arXiv_csIR_bot/116322784870180864
- LITTA: Late-Interaction and Test-Time Alignment for Visually-Grounded Multimodal Retrieval
Seonok Kim
https://arxiv.org/abs/2603.26683 https://mastoxiv.page/@arXiv_csIR_bot/116322841916406330
- Agentic AI for Human Resources: LLM-Driven Candidate Assessment
Yuksel, Anees, Elneima, Hewavitharana, Al-Badrashiny, Sawaf
https://arxiv.org/abs/2603.26710 https://mastoxiv.page/@arXiv_csIR_bot/116322937601675587
- SEAR: Schema-Based Evaluation and Routing for LLM Gateways
Zecheng Zhang, Han Zheng, Yue Xu
https://arxiv.org/abs/2603.26728 https://mastoxiv.page/@arXiv_csDB_bot/116322627580095245
- SleepVLM: Explainable and Rule-Grounded Sleep Staging via a Vision-Language Model
Guifeng Deng, Pan Wang, Jiquan Wang, Shuying Rao, Junyi Xie, Wanjun Guo, Tao Li, Haiteng Jiang
https://arxiv.org/abs/2603.26738 https://mastoxiv.page/@arXiv_csCV_bot/116322739676378309
- Aesthetic Assessment of Chinese Handwritings Based on Vision Language Models
Chen Zheng, Yuxuan Lai, Haoyang Lu, Wentao Ma, Jitao Yang, Jian Wang
https://arxiv.org/abs/2603.26768 https://mastoxiv.page/@arXiv_csCV_bot/116323078149576728
- Learning to Select Visual In-Context Demonstrations
Eugene Lee, Yu-Chi Lin, Jiajie Diao
https://arxiv.org/abs/2603.26775 https://mastoxiv.page/@arXiv_csLG_bot/116322648878995047
- CRISP: Characterizing Relative Impact of Scholarly Publications
Hannah Collison, Benjamin Van Durme, Daniel Khashabi
https://arxiv.org/abs/2603.26791 https://mastoxiv.page/@arXiv_csDL_bot/116322621679820997
- GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem S...
Xinyi Duan, Yuanrong Tang, Jiangtao Gong
https://arxiv.org/abs/2603.26807 https://mastoxiv.page/@arXiv_csIR_bot/116322959557860848
- In your own words: computationally identifying interpretable themes in free-text survey data
Jenny S Wang, Aliya Saperstein, Emma Pierson
https://arxiv.org/abs/2603.26930 https://mastoxiv.page/@arXiv_csCY_bot/116322780637316287
- Multilingual Stutter Event Detection for English, German, and Mandarin Speech
Felix Haas, Sebastian P. Bayerl
https://arxiv.org/abs/2603.26939 https://mastoxiv.page/@arXiv_csSD_bot/116322704289189130
- FormalProofBench: Can Models Write Graduate Level Math Proofs That Are Formally Verified?
Ravi, Ying, Nesterov, Krishnan, Uskuplu, Xia, Aswedige, Nashold
https://arxiv.org/abs/2603.26996 https://mastoxiv.page/@arXiv_csAI_bot/116322625941412681
- PHONOS: PHOnetic Neutralization for Online Streaming Applications
Waris Quamer, Mu-Ruei Tseng, Ghady Nasrallah, Ricardo Gutierrez-Osuna
https://arxiv.org/abs/2603.27001 https://mastoxiv.page/@arXiv_eessAS_bot/116322763598554193
- ChartNet: A Million-Scale, High-Quality Multimodal Dataset for Robust Chart Understanding
Jovana Kondic, et al.
https://arxiv.org/abs/2603.27064 https://mastoxiv.page/@arXiv_csCV_bot/116323214468792735
- daVinci-LLM:Towards the Science of Pretraining
Qin, Liu, Mi, Xie, Huang, Si, Lu, Feng, Wu, Liu, Luo, Hou, Guo, Qiao, Liu
https://arxiv.org/abs/2603.27164 https://mastoxiv.page/@arXiv_csAI_bot/116322653467105951
- LightMover: Generative Light Movement with Color and Intensity Controls
Zhou, Wang, Kim, Shu, Yu, Hold-Geoffroy, Chaturvedi, Wu, Lin, Cohen
https://arxiv.org/abs/2603.27209 https://mastoxiv.page/@arXiv_csCV_bot/116323263295656104
- Self-evolving AI agents for protein discovery and directed evolution
Tan, Zhang, Li, Yu, Zhong, Zhou, Dong, Hong
https://arxiv.org/abs/2603.27303 https://mastoxiv.page/@arXiv_csAI_bot/116322838641595927
- Inference-Time Structural Reasoning for Compositional Vision-Language Understanding
Amartya Bhattacharya
https://arxiv.org/abs/2603.27349 https://mastoxiv.page/@arXiv_csCV_bot/116323280006044500
- LLM Readiness Harness: Evaluation, Observability, and CI Gates for LLM/RAG Applications
Alexandre Cristov\~ao Maiorano
https://arxiv.org/abs/2603.27355 https://mastoxiv.page/@arXiv_csAI_bot/116322987708962414
- Heterogeneous Debate Engine: Identity-Grounded Cognitive Architecture for Resilient LLM-Based Eth...
Jakub Mas{\l}owski, Jaros{\l}aw A. Chudziak
https://arxiv.org/abs/2603.27404 https://mastoxiv.page/@arXiv_csAI_bot/116322999177460352
toXiv_bot_toot

I spend a lot of time being worried or angry or annoyed at the way that generative ai fervor is undermining our ecosystems (environmental, cultural, epistemic, digital, etc).
But right now I'm just feeling mournful. Seeing project after project, institution after institution run enthusiastically into a future where we boil our oceans to better insulate ourselves from one another is ... tragic. We're losing a lot right now, and we're going to have to come to terms with that.…

And now generative #AI will be in all of the #Google products, too...
https://

Google rolls out new Gemini capabilities to Docs, Sheets, Slides, and Drive | TechCrunch
The idea behind the new features is to make the apps more personal and capable to help users get things done faster, right within the platforms themselves.

I'm already seeing artists leaning into their strengths, areas where generative AI is weak. For example, the last three artists I've contacted for paid work have ghosted me.

Kann sich das jemand anschauen und mir eine Zweitmeinung geben?
Bin mir nicht sicher, dass ich 1,5 Stunden Zeit für jemanden habe, der mit "I am picking up on a [problematic] vibe" ankommt und den dann nicht artikuliert.
Der als positives Beispiel für "generative AI"-Nutzung "materials used in carbon capture" (of all things) nennt.
Und dann ein "trust me, I am very good at this" einwirft, obwohl er bisher, wenn überhaupt, den gegenteili…

Source: the Pentagon is discussing plans to set up secure environments for AI companies to train military-specific versions of their models on classified data (James O'Donnell/MIT Technology Review)
https://www.technologyr…

The Pentagon is planning for AI companies to train on classified data, defense official says
The generative AI models used in classified environments can answer questions but don't currently learn from the data they see. That could soon change.

Google rolls out Lyria 3, a generative music model that can make 30-second tracks with Nano Banana cover art, in beta in the Gemini app in eight languages (The Keyword)
https://blog.google/innovation-and-ai/products/gemini-app/lyria-3/

A new way to express yourself: Gemini can now create music
Lyria 3 is now available in the Gemini app. Create custom, high-quality 30-second tracks from text and images.

"Experiences of Academics, Graduates, and Undergraduates in Using Generative AI in Research (Un)Ethically and (Ir)Responsibly: A Systematic Review of Qualitative Synthesis"
https://doi.org/10.1080/10572317.2026.2626122

Peacock adds a new feature to its app that uses AI to curate personalized vertical video playlists, narrated by a generative AI avatar of host Andy Cohen (Lauren Forristal/TechCrunch)
https://techcrunch.com/2026/03/13/peacock-expand…

Peacock expands into AI-driven video, mobile-first live sports, and gaming | TechCrunch
Peacock is betting on new AI-powered video experiences, vertical clips, and mobile games to help its growth.

It’s pretty “funny” that the generative AI companies seem to think their tools telling people to kill themselves is a bigger PR fiasco than allowing their tools to help commit war crimes

Google rolls out Lyria 3, a generative music model that can make 30-second tracks with Nano Banana cover art, in beta in the Gemini app in eight languages (The Keyword)
https://blog.google/innovation-and-ai/products/gemini-app/lyria-3/

A new way to express yourself: Gemini can now create music
Lyria 3 is now available in the Gemini app. Create custom, high-quality 30-second tracks from text and images.

@… for convenience, and anchored:
https://gitlab.gnome.org/GNOME/gnome-calendar/-/blob/main/CONT…

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[5/6]:
- Watermarking Degrades Alignment in Language Models: Analysis and Mitigation
Apurv Verma, NhatHai Phan, Shubhendu Trivedi
https://arxiv.org/abs/2506.04462 https://mastoxiv.page/@arXiv_csCL_bot/114635190037336859
- Sensory-Motor Control with Large Language Models via Iterative Policy Refinement
J\^onata Tyska Carvalho, Stefano Nolfi
https://arxiv.org/abs/2506.04867 https://mastoxiv.page/@arXiv_csAI_bot/114635187854195641
- ICE-ID: A Novel Historical Census Dataset for Longitudinal Identity Resolution
de Carvalho, Popov, Kaatee, Correia, Th\'orisson, Li, Bj\"ornsson, Sigur{\dh}arson, Dibangoye
https://arxiv.org/abs/2506.13792 https://mastoxiv.page/@arXiv_csAI_bot/114703312162525342
- Feedback-driven recurrent quantum neural network universality
Lukas Gonon, Rodrigo Mart\'inez-Pe\~na, Juan-Pablo Ortega
https://arxiv.org/abs/2506.16332 https://mastoxiv.page/@arXiv_quantph_bot/114732532383196043
- Programming by Backprop: An Instruction is Worth 100 Examples When Finetuning LLMs
Cook, Sapora, Ahmadian, Khan, Rocktaschel, Foerster, Ruis
https://arxiv.org/abs/2506.18777 https://mastoxiv.page/@arXiv_csAI_bot/114738213040759661
- Stochastic Quantum Spiking Neural Networks with Quantum Memory and Local Learning
Jiechen Chen, Bipin Rajendran, Osvaldo Simeone
https://arxiv.org/abs/2506.21324 https://mastoxiv.page/@arXiv_csNE_bot/114754367612728319
- Enjoying Non-linearity in Multinomial Logistic Bandits: A Minimax-Optimal Algorithm
Pierre Boudart (SIERRA), Pierre Gaillard (Thoth), Alessandro Rudi (PSL, DI-ENS, Inria)
https://arxiv.org/abs/2507.05306 https://mastoxiv.page/@arXiv_statML_bot/114822374525501660
- Characterizing State Space Model and Hybrid Language Model Performance with Long Context
Saptarshi Mitra, Rachid Karami, Haocheng Xu, Sitao Huang, Hyoukjun Kwon
https://arxiv.org/abs/2507.12442 https://mastoxiv.page/@arXiv_csAR_bot/114867589638074984
- Is Exchangeability better than I.I.D to handle Data Distribution Shifts while Pooling Data for Da...
Ayush Roy, Samin Enam, Jun Xia, Won Hwa Kim, Vishnu Suresh Lokhande
https://arxiv.org/abs/2507.19575 https://mastoxiv.page/@arXiv_csCV_bot/114935399825741861
- TASER: Table Agents for Schema-guided Extraction and Recommendation
Nicole Cho, Kirsty Fielding, William Watson, Sumitra Ganesh, Manuela Veloso
https://arxiv.org/abs/2508.13404 https://mastoxiv.page/@arXiv_csAI_bot/115060386723032051
- Morphology-Aware Peptide Discovery via Masked Conditional Generative Modeling
Nuno Costa, Julija Zavadlav
https://arxiv.org/abs/2509.02060 https://mastoxiv.page/@arXiv_qbioBM_bot/115139546511384706
- PCPO: Proportionate Credit Policy Optimization for Aligning Image Generation Models
Jeongjae Lee, Jong Chul Ye
https://arxiv.org/abs/2509.25774 https://mastoxiv.page/@arXiv_csCV_bot/115298580419859537
- Multi-hop Deep Joint Source-Channel Coding with Deep Hash Distillation for Semantically Aligned I...
Didrik Bergstr\"om, Deniz G\"und\"uz, Onur G\"unl\"u
https://arxiv.org/abs/2510.06868 https://mastoxiv.page/@arXiv_csIT_bot/115343320768797486
- MoMaGen: Generating Demonstrations under Soft and Hard Constraints for Multi-Step Bimanual Mobile...
Chengshu Li, et al.
https://arxiv.org/abs/2510.18316 https://mastoxiv.page/@arXiv_csRO_bot/115416889485910123
- A Spectral Framework for Graph Neural Operators: Convergence Guarantees and Tradeoffs
Roxanne Holden, Luana Ruiz
https://arxiv.org/abs/2510.20954 https://mastoxiv.page/@arXiv_statML_bot/115445273121677005
- Breaking Agent Backbones: Evaluating the Security of Backbone LLMs in AI Agents
Bazinska, Mathys, Casucci, Rojas-Carulla, Davies, Souly, Pfister
https://arxiv.org/abs/2510.22620 https://mastoxiv.page/@arXiv_csCR_bot/115451397563132982
- Uncertainty Calibration of Multi-Label Bird Sound Classifiers
Raphael Schwinger, Ben McEwen, Vincent S. Kather, Ren\'e Heinrich, Lukas Rauch, Sven Tomforde
https://arxiv.org/abs/2511.08261 https://mastoxiv.page/@arXiv_csSD_bot/115535982708483824
- Two-dimensional RMSD projections for reaction path visualization and validation
Rohit Goswami (Institute IMX and Lab-COSMO, \'Ecole polytechnique f\'ed\'erale de Lausanne)
https://arxiv.org/abs/2512.07329 https://mastoxiv.page/@arXiv_physicschemph_bot/115688910885717951
- Distribution-informed Online Conformal Prediction
Dongjian Hu, Junxi Wu, Shu-Tao Xia, Changliang Zou
https://arxiv.org/abs/2512.07770 https://mastoxiv.page/@arXiv_statML_bot/115689281155541568
- Coupling Experts and Routers in Mixture-of-Experts via an Auxiliary Loss
Ang Lv, Jin Ma, Yiyuan Ma, Siyuan Qiao
https://arxiv.org/abs/2512.23447 https://mastoxiv.page/@arXiv_csCL_bot/115808311310246601
toXiv_bot_toot

Amity, a Thailand-based startup that provides generative AI tools to businesses like retail and telecom, raised $100M in a Series D as it plans for a 2027 IPO (Olivia Poh/Bloomberg)
https://www.bloomberg.com/news/articles/2026-03…

Amazon details how a Russian-speaking hacker used generative AI as part of a campaign that breached 600 FortiGate firewalls across 55 countries in five weeks (Lawrence Abrams/BleepingComputer)
https://www.bleepingcomputer.com/news/secu

Even at an extraordinarily smart event as #FOSSBackstage , people keep asking "Yeah but couldn't we do this [task that requires care, understanding and commitment] with generative AI?" and I am f*ing sick of it. If the task could not have been automated before the advent of "AI", then it should not be automated now. Just be a decent person put in the human work alrea…

Disney ends its partnership with OpenAI, signed in December 2025, in which it pledged to invest $1B and agreed to license some characters to Sora (Todd Spangler/Variety)
https://variety.com/2026/digital/news/openai-shutting-down-sora-video-platform-…

OpenAI Will Shut Down Sora Video Platform
OpenAI is planning to discontinue Sora, the generative-AI video creation platform it launched last year,

A look at Catches and other startups that are offering AI tools to let shoppers visualize fit and style before buying clothes, aiming to curb online returns (Elsa Ohlen/CNBC)
https://www.cnbc.com/2026/04/05/ai-retail-start-ups-virtual-try-on-tech-margins.…

'Silent killers': How AI start-ups are trying to solve one of the retail industry's biggest problems
The rapid evolution of generative AI has finally made these applications good enough to meaningfully impact retailers' bottom lines.

ELISA: An Interpretable Hybrid Generative AI Agent for Expression-Grounded Discovery in Single-Cell Genomics
Omar Coser
https://arxiv.org/abs/2603.11872 https://

Future launches Future Optic, a commercial Generative Engine Optimization, or GEO, service that aims to boost brand visibility on AI platforms like ChatGPT (Dominic Ponsford/Press Gazette)
https://pressgazette.co.uk/marketing/fu…

Future leverages high visibility on ChatGPT by offering GEO as a service
Future has launched a new division offering GEO as a service to brands.

As AI and agents are adopted to accelerate development, cognitive load and cognitive debt are likely to become bigger threats to developers than technical debt (Margaret-Anne Storey)
https://margaretstorey.com/blog/2026/02/09/cognitive-debt/

How Generative and Agentic AI Shift Concern from Technical Debt to Cognitive Debt
The term technical debt is often used to refer to the accumulation of design or implementation choices that later make the software harder and more costly to understand, modify, or extend over time...

Disney ends its partnership with OpenAI, signed in December 2025, in which it pledged to invest $1B and agreed to license some characters to Sora (Todd Spangler/Variety)
https://variety.com/2026/digital/news/openai-shutting-down-sora-video-platform-…

OpenAI Will Shut Down Sora Video Platform
OpenAI is planning to discontinue Sora, the generative-AI video creation platform it launched last year,

Internal memo: Sam Altman tells staff that ChatGPT is "back to exceeding 10% monthly growth", and OpenAI plans to release "an updated Chat model" this week (CNBC)
https://www.cnbc.com/2026/02/09/sam-altman-touts-cha…

Sam Altman touts ChatGPT's reaccelerating growth to employees as OpenAI closes in on $100 billion funding
OpenAI CEO Sam Altman told employees that ChatGPT's monthly growth is back above 10%, as competition ramps up in generative AI.

A Lloyds-commissioned study of 5,000 people in the UK finds that 50% of the adults used generative AI platforms for financial advice; ChatGPT was the most used (Mary McDougall/Financial Times)
https://www.ft.com/content/a16bbdf4-a8c9-4fb2-b61e-e83bb5bfa11b