It took two scientists decades to find a new nitrogen-fixing organelle. It could change the future of sustainable agriculture.

Fields Medal 2026 list leaked, revealing Peking University alumni Hong Wang and Yu Deng as winners. Historic first for Chinese mathematicians in the same e

https://t.co/PTeDiv1b6L

In our kitchen, the only device that displays the time is our oven! :D Looking at it was always a bit annoying.

Nvidia is primarily known as a hardware company thanks to the wild success of its GPUs. But Nvidia is also a force in the world of software, thanks to its CUDA programming language that has become the defacto standard for AI and HPC developers. Now a group of CUDA experts at Spectral Compute are looking […]

Digital identities and what they mean for the web have become a hot topic of discussion in the last few years.They have also brought many controversies: age ...

If you’ve ever tried using type erasure for something more complicated than std::any or std::function, you’ve either written 100+ lines of easy-to-mess-up code or reached for a boilerplate-heavy library like Boost.TypeErasure or Folly.Poly. rjk::duck uses the magic that is C++26 reflection to remove these pain points while preserving all of the customization and performance.

RL-training an AI agent to RL-train AI agents. Contribute to Danau5tin/ai-trains-ai development by creating an account on GitHub.

As my community modernized, we used Pennsylvania Dutch less and less. Now I

AI built for autonomy crowds people out, making us passive observers of what’s coming. We’re building toward a different future.

I propose an approach for highly personalized LLMs, for near-future productivity gains and personal info/cybersecurity against increasingly powerful LLMs: they should, in the spirit of uploading, try to emulate the user’s values and preferences in order to amplify the principal—not replace them. I discuss a package of techniques and proposals to accomplish such ‘guardian angels’; dynamic evaluation of LLMs combined with active learning and elicitation and heavy inner-monologue search/data-augmentation.

Agnost AI continuously analyzes production conversations, catches agent failures your evals miss, and turns the highest-impact patterns into reviewed fixes. Trusted by Google and 25+ AI teams.

Microsoft DELETED my account AND OneDrive!!?? After ACKNOWLEDGING that I’m the owner of the account and that it was compromised???

25 fucking years of data, thousands of euros spended on games?? My son’s baby pictures? GONE!

All because MICROSOFT couldn’t bring back a compromised account??
One of the biggest companies ever coulnd’t do that so they just deleted that shit like it was nothing?? Fucking shame on you!! @microsoftnl @MicrosoftHelps @MicrosoftHelpt @Microsoft
#microsoft #hacked

A coding agent solving a software-engineering task spends dozens of steps reasoning, editing code, and running tests, yet little is known about what the underlying language model internally represents about the program it is working on. We show that the residual streams of language models under coding agents linearly encode properties of the evolving program: a logistic-regression probe on hidden states is able to decode whether the current code parses, passes its test suite, reduces the number of failing tests, and introduces regressions, reaching AUC up to 0.83 for correctness across two models and two benchmarks. Our second finding is more surprising: these representations run ahead of the agent's own edits. Probes trained to predict the outcome of future edits (before they are materialized and written on disk) achieve performance above chance up to roughly 25 steps in advance. We call this the agent's latent programming horizon. As a proof of external validity, we show that the probes transfer across benchmarks without retraining. Our positive results open calls for more research in mechanistic interpretability of coding agents.

Metal alloys are used everywhere from aircraft to cutlery, making them an indispensable part of modern life.

An incisive and moving new critical biography of one of the nuclear age’s greatest visionaries.