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…
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…
“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.”
Gestern ausgelesen. Im Kern gut, man muss aber ausschweifende, zumeist historische Abschweifungen abkönnen und darf keine Lobhudelei auf KI erwarten. Und weil das englische Original von 2021 ist, existiert ChatGPT und generative AI in diesem Buch noch nicht: Kate Crawford – Atlas der KI. #ai #ki
"What I’m saying is generative AI is a deeply expensive edging machine, but for your life."
Garbage Day nails it.
(Original title: Generative AI is an expensive edging machine)
https://www.garbageday.email/p/generative-ai-is-an-expensive-ed…
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…
This can’t possibly be a unique observation, but generative AI boosters, if they’re not pedophiles, seem to be primarily engaging in productivity aesthetic, which is to say, lifestyle blogging their way through pointless busy work
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.
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
I keep on thinking about this so often, now mostly about how the word has been co-opted & abused by contemporary "AI"... Just refound the link (from 2012):
Generative vs generated
https://www.anomalogue.com/2012/05/01/generative-vs-generated/
<…
Concept artists give informed critiques of using GenAI to concept. Fav quote:
“When I show someone a rough sketch they see it differently than I do. They’re not seeing the sketch, they’re seeing the potential for what the sketch could be through their own taste and experiences, and it sparks all kinds of wonderful ideas that I would’ve never thought of on my own.”
Concept Artists Say Generative AI References Only Make Their Jobs Harder
❝Our guidelines for generative AI in music and audio are as follows:
● Music and audio that is generated wholly or in substantial part by AI is not permitted on Bandcamp.
● Any use of AI tools to impersonate other artists or styles is strictly prohibited in accordance with our existing policies prohibiting impersonation and intellectual property infringement.❞
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
Sage advice about artificial intelligence: "Do your own original thinking first."
Because “Plans are worthless, but planning is everything.”
https://open.substack.com/pub/philkoopman/p/plans-plan…
OpenAI and longtime US government contractor Leidos announce a partnership to roll out generative and agentic AI tools for specific missions at federal agencies (Miranda Nazzaro/FedScoop)
https://fedscoop.com/openai-chatgpt-le
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.
"Nous estimons qu'Š ce stade de son développement, les risques liés Š l'utilisation de l'IA générative dans l'éducation des enfants l'emportent sur ses avantages. Cela s'explique en grande partie par le fait que les risques liés Š l'IA sont de nature différente de ses avantages, c'est-Š-dire que ces risques compromettent le développement fondamental des enfants et peuvent empêcher la concrétisation des avantages."
“AI can make mistakes, and it cannot replace the experience of reading an article in full. But we do believe it will help you find, understand and use ACM content both more quickly and more deeply.” https://dl.acm.org/generative-ai/summarizations
Why? Why?? WHY??? Has anybody aske…
“AI can make mistakes, and it cannot replace the experience of reading an article in full. But we do believe it will help you find, understand and use ACM content both more quickly and more deeply.” https://dl.acm.org/generative-ai/summarizations
Why? Why?? WHY??? Has anybody aske…
“AI can make mistakes, and it cannot replace the experience of reading an article in full. But we do believe it will help you find, understand and use ACM content both more quickly and more deeply.” https://dl.acm.org/generative-ai/summarizations
Why? Why?? WHY??? Has anybody aske…
'It is 2025, and seemingly everyone wants us in the humanities to do stuff “with AI,” informed not by what the technology avails but by the hopes it encodes.' Sonja Drimmer on 🔥on Art Forum
https://www.artforum.com/features/generative-ai-st…
Okay, this must absolutely have been made with some kind of generative AI, but it's not pretending to be real, it's hella funny/deadly serious and just superb. (I especially love the tough walrus smoking a cigar while driving a fishing boat 😂 ) Kudos to the makers!
AI and the railway mania
Michael Roberts.
"A widely cited study from MIT found that so far, 95 per cent of generative AI projects produce no return in productivity growth or profits. To justify the required investment, annual data-centre revenues would need to rise from $20bn today to about $2trn. Existing revenues will fall short by $800bn.."
#Firefox führt ab Version 148 eine neue Einstellung ein, mit der Nutzer alle aktuellen und zukünftigen generativen #AI-Funktionen im Browser blockieren können.
Alternativ lassen sich einzelne Features wie #Übersetzungen
"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
New talk abstract dropping. I just hope I can write a talk to live up to it by *checks watch* *gulp* Monday.
I sincerely hope that before too long, generative AI images are recognized for the lazy dogshit that they are, and that the design profession utterly ostracizes the practitioners who use them
I think it's time for some #FollowFriday action once again. Today, let's focus on computational/algorithmic/generative art/design practitioners (not AI art :)
An entirely incomplete list, in A-Z order:
@…
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.
This is a genuinely good idea, and I'd urge you to sign it. Make #AI generated works immediately identifiable. It would be interesting also to require a similar 'watermark' in generated texts -- perhaps a particular sequence of whitespace characters.
#generativeAI
H/t
After GPUs and RAM, what is the next hardware thing that generative AI is going to monopolise?
@…
In theory the carbon footprint could be solved by moving to green energy.
But there are other issues with generative AI like e-waste and scalability.
I wish we had more people writing more sophisticated concerns about the harms of AI.
"Slop" criticism is important because I think many of us feel we are being gaslit into believing that generative AI is currently creating quality creative output, while Al (henceforth Alfred) is overwhelmingly creating mediocre quality creative work.
Every past winter, Alfred survives in a more focused and refined form. Eliza was a toy chatbot of the 1960s, but what emerged from that is…
"WASHINGTON (AP) — Defense Secretary Pete Hegseth said Monday that Elon Musk’s artificial intelligence chatbot Grok will join Google’s generative AI engine in operating inside the Pentagon network, as part of a broader push to feed as much of the military’s data as possible into the developing technology.
'Very soon we will have the world’s leading AI models on every unclassified and classified network throughout our department,' Hegseth said in a speech at Musk’s space fl…
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…
Det er allerede beskrevet hvordan ondsindede aktŸrer kan indfŸre desinformation i generative sprogmodeller. Her er det så historien om salg af Flügger-maling til Rusland der er blevet manipuleret:
https://www.dr.dk/nyheder/penge/pludselig-
When you've had a drink too many, you may think that your driving is better than ever. That's a dangerous delusion.
Perhaps a bit like using generative AI.
Good article about that there is more then just Generative AI, where all the hype is, but that we are making great and steady progress in the field of predictive AI.
https://www.technologyreview.com/2025/12/1
Proc3D: Procedural 3D Generation and Parametric Editing of 3D Shapes with Large Language Models
Fadlullah Raji, Stefano Petrangeli, Matheus Gadelha, Yu Shen, Uttaran Bhattacharya, Gang Wu
https://arxiv.org/abs/2601.12234 https://arxiv.org/pdf/2601.12234 https://arxiv.org/html/2601.12234
arXiv:2601.12234v1 Announce Type: new
Abstract: Generating 3D models has traditionally been a complex task requiring specialized expertise. While recent advances in generative AI have sought to automate this process, existing methods produce non-editable representation, such as meshes or point clouds, limiting their adaptability for iterative design. In this paper, we introduce Proc3D, a system designed to generate editable 3D models while enabling real-time modifications. At its core, Proc3D introduces procedural compact graph (PCG), a graph representation of 3D models, that encodes the algorithmic rules and structures necessary for generating the model. This representation exposes key parameters, allowing intuitive manual adjustments via sliders and checkboxes, as well as real-time, automated modifications through natural language prompts using Large Language Models (LLMs). We demonstrate Proc3D's capabilities using two generative approaches: GPT-4o with in-context learning (ICL) and a fine-tuned LLAMA-3 model. Experimental results show that Proc3D outperforms existing methods in editing efficiency, achieving more than 400x speedup over conventional approaches that require full regeneration for each modification. Additionally, Proc3D improves ULIP scores by 28%, a metric that evaluates the alignment between generated 3D models and text prompts. By enabling text-aligned 3D model generation along with precise, real-time parametric edits, Proc3D facilitates highly accurate text-based image editing applications.
toXiv_bot_toot
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
Interviews with copywriters on generative AI's impact: job losses to AI, work used for training, falling wages and rates, freelancers losing clients, and more (Brian Merchant/Blood in the Machine)
https://www.bloodinthemachine.com/p/i-was-forced-to-use-ai-until-the
"regardless of the underlying technology, the pursuit of artificial general intelligence is not necessarily the most efficient route to useful applications. Artificial specific intelligence (AI approaches focused on a specific domain, such as the Nobel prize-winning, protein-folding algorithm, AlphaFold2) gives more reliable and transparent results by combining the subtle pattern detection at which GenAI excels with explicitly encoded, domain-specific knowledge."
The "GenAI" buzzword has been astroturfed to confuse the uninitiated between generative AI and general AI.
Menlo Ventures: business spending on generative AI hit $37B in 2025, up from $11.5B in 2024; Anthropic's share of enterprise LLM spend grew from 24% to 40% YoY (Menlo Ventures)
https://menlovc.com/perspective/2025-the-state-of-generative-ai-in-the-enter…
Google Photos' latest generative AI-powered feature, "Me Meme", lets users create memes from their own images, launching first in the US (Sarah Perez/TechCrunch)
https://techcrunch.com/2026/01/23/google-photos-latest-feature-lets-you-meme-…
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
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
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/
Airbnb hires Meta executive Ahmad Al-Dahle, who led generative AI and the Llama team after working at Apple, as its CTO, as it aims to integrate AI in its app (Natalie Lung/Bloomberg)
https://www.bloomberg.com/news/articles/202…
Some US college students say they are using AI "humanizer" tools to alter text to avoid cheating accusations; AI detection tools now aim to catch "humanizers" (Tyler Kingkade/NBC News)
https://www.nbcnews.com/tech/internet/coll
Fal, which hosts generative AI models for developers, raised a $140M Series D led by Sequoia, a source says at a $4.5B valuation, up from $1.5B in July (Paayal Zaveri/Bloomberg)
https://www.bloomberg.com/news/articles/2025…
HSBC signs a deal with Mistral to access Mistral's AI models and collaborate on developing new models for internal use, as big banks rush to adopt generative AI (Ortenca Aliaj/Financial Times)
https://www.ft.com/content/7b8e4ea8-ae17-4ada-9117-9f859589ce1d
Italy-based humanoid robotics startup Generative Bionics raised €70M led by CDP Venture Capital, with participation from Tether, AMD Ventures, and others (Daniele Lepido/Bloomberg)
https://www.bloomberg.com/news/articles/2025-1…