Language models can notice an impossible engineering problem yet still report it as solved
Testing 14 LLMs on impossible engineering problems reveals models report physically infeasible solutions as solved rather than reject them.
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Testing 14 LLMs on impossible engineering problems reveals models report physically infeasible solutions as solved rather than reject them.
Flow matching enables latent reasoning in LLMs with five design criteria: utility, diversity, explainability, refinability, and inference efficiency.
For all the data that AI systems continually amass and analyze, enterprise AI agents often suffer from a curious shortcoming: a lack of knowledge. More than data, knowledge is the understanding of what the data means in the context of individual organizations. AI agents need this understanding to reason about situations, make decisions, and ultimately…
OpenAI said the new visual ads will show up after your image generation results appear in the U.S. only for now.
OpenAI details watermarking implementation for EU text provenance compliance, including detection mechanisms and researcher access protocols.
Learn how founders are choosing between building on open or closed AI at TechCrunch Disrupt 2026. Register now to save up to $100 and get a second pass at 50% off.
Independent researchers discovered an agent swarm that seems to be running on Tencent's infrastructure and targeting Alibaba's map service, Amap.
Today, I’m talking with Senator Adam Schiff, a Democrat from California. Sen. Schiff sits on a number of committees with oversight into tech and AI: intellectual property, antitrust, privacy and technology — it’s all there. I really wanted to ask him about how we might regulate anything related to the tech industry at this moment in time. Verge subscribers, don’t forget you get exclusive access to ad-free Decoder wherever you get your podcasts. Head here. Not a subscriber? You can sign up here. But as you’ll hear, he started our conversation by talking about the self-dealing and corruption pr...
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Getting some extra storage space on your Mac could be as easy as deleting Apple's AI features with a new open-source command line tool called RemoveMacAI. There used to be a single Settings toggle for disabling Apple Intelligence, but that was removed in macOS 27. Now, the models stay on your disk, and the features are split up across different settings panes. As spotted earlier by MacRumors, the RemoveMacAI developer said in a post on Reddit that the tool essentially does what the old settings toggle did, deleting the models and turning the features off: You have to find about a dozen settin...
Norway wants time to write permanent rules for glasses that can record bystanders.
In 2026, the question for enterprise AI is no longer whether predictive models can outperform statistical forecasts—that argument is settled. The big question now is how to enable predictive systems to act on their own conclusions without drifting from business intent. The frontier has moved from prediction to autonomous decision making, and the gap between…
OpenAI's latest ad format will put images of sponsored products and services on your screen. The ads, which OpenAI will begin testing in the US later this month, will "initially" appear when you generate images with ChatGPT, according to an announcement on Monday. The company first brought ads to ChatGPT in February. Until now, ChatGPT's ads only showed a company's name, logo, and a link to its product in a "sponsored" section beneath your chat. OpenAI's visual ad format will similarly remain separate from the image you generate and will "not influence the answers ChatGPT provides." Ads won't...
Import AI covers swarm scaling techniques, Google DeepMind's watermarking work in biology, and emerging AI science economy dynamics.
Safeworld is building digital humans to make sure robots don't hurt the real ones.
OpenAI launches visual ad format in ChatGPT with expanded measurement and brand safety tools for advertisers.
Stratechery opinion: Apple's walled ecosystem, once protective, now constrains AI experimentation and developer freedom.
Norbert Wiener, godfather of cybernetics, once said, "The thought of every age is reflected in its technique." For the past century, our thought has been reflected in our computers, including by those in the AI industry. Google's Demis Hassabis calls the brain "a biological approximation to a Turing machine." Elon Musk puts it more bluntly, declaring that "people should just think of the brain as a biological computer." (Musk's brain often worries me.) But humans are more complex than a straightforward comparison to computers gives us credit for - and far more than most of the AI industry see...
Over the summer I talked to the CEO of Springboards, a startup building an LLM that’s designed to come up with a wider variety of responses than its mainstream rivals do. At the start of the call, he said something that’s been stuck in my head since: “We often say that we’re a self-loathing AI…
Off-policy model merging outperforms on-policy self-distillation for continual learning, avoiding reasoning collapse on post-trained models.
Finite-sample CLT and Gaussian approximation theory for online quantile regression via SSGD on streaming data.
Mamba-based state space model for multi-scale face detection under occlusion and extreme pose via global cross-scale fusion.
CCQ dataset: 59K de-identified child care provider records across 12 U.S. states for early childhood health AI research.
Infinite-Dreamer: image-editing world model for scalable GUI agent training via simulation-free high-fidelity visual-action synthesis.
Automated Q-matrix construction via curriculum knowledge graphs for cognitive diagnostic models in personalized learning.
Hierarchical RL framework for collision-free locomotion of underactuated bipeds with high-level goal planning and velocity control.
TurboPairFormer: optimized triangular attention kernel for AlphaFold3-style protein folding on NVIDIA Hopper with improved numerical stability.
Adaptive classifiers mask concept drift detection via internal incremental updates, creating blind spot in CUSUM/Page-Hinkley monitoring.
RepICL: reusable in-context few-shot predictor learning across 1,218 text/image/audio encoder-dataset tasks via RepShiftBench.