Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems. Read more ›
HackMyClaw is over. No one was able to crack Fiu, and the challenge became too expensive to keep running. Thanks to everyone who participated. Read more ›
Save up to $190 on your pass to TechCrunch Founder Summit 2026. Early Bird pricing ends today, at 11:59 p.m. PT, after which rates increase. Register now. Read more ›
Modern deep neural network architectures are trained via backpropagation, which requires errors to be sequentially propagated through all layers before parameters can be updated. This introduces two limitations: locking, where layer-wise updates are strictly interdependent and cannot proceed in parallel, and the weight transport problem, which requires symmetric forward and backward pathways for exact gradient computation. These constraints re... Read more ›
Contribute to infiniteregrets/kv-psi development by creating an account on GitHub. Read more ›
“Murakkab” is a new automated system that streamlines the design of agentic workloads for AI applications and optimizes their deployment for customers, reducing computation and cost while boosting energy efficiency. Read more ›
Nature - On the robustness of topological gap detection via transport Read more ›
\"One AI agent across your browser, tools, and messages \" Discussion \| Link Read more ›
Meet the new and improved Facebook Creator Studio—now with AI—to manage content, track insights and grow your audience. Learn what's new. Read more ›
New models are launching in Asia that promise Mythos-like capabilities without fear of an export ban. U.S. AI labs may never recover this enormous market. Read more ›
Electroencephalography (EEG) is the dominant non-invasive modality for brain-computer interfaces (BCIs), yet reliable decoding of motor imagery is hampered by inter- and intra-individual variability. A recurring claim is that one decoding pipeline, most often a spatial or Riemannian method, is broadly preferable. We test the weakest version of that claim under the most favourable conditions. Using the Mother of All BCI Benchmarks (MOABB) frame... Read more ›
AI models have progressed to the point where their capabilities have real political consequences. Dealing with those consequences will require collective action. Read more ›
A transpiler from stateful imperative workflows to declarative DSPy programs - theramkm/dspyer Read more ›
We present CyberChainBench, a benchmark for evaluating LLM-based agents on smart contract security across three complementary tasks: vulnerability detection, exploit generation, and patch synthesis. Built from 541 real-world exploit incidents from DeFiHackLabs spanning 9 EVM chains, the benchmark provides end-to-end on-chain evaluation where agents interact with historical blockchain state through isolated evaluation environments orchestrated ... Read more ›
Learn how to secure, monitor, and remediate Gemini and Google API keys. Read more ›
A machine-learning model trained on thousands of electrocardiogram recordings identifies a previously unrecognized group of at-risk people. A machine-learning model trained on thousands of electrocardiogram recordings identifies a previously unrecognized group of at-risk people. Read more ›
A multi-agent protocol pairing a tool-using Scientist with a question-only advisor — no tools, no answers, no directives — improves Kaggle test performance on 4 of 5 MLE-bench tasks - hexo-ai/socrates Read more ›
This morning I saw , describing a small but effective inpainting model - a model where you can mark regions of an image to remove and the model imagines what should fill the space. The released model , but since it described itself as 0.2B I decided to try and get it running using WebGPU in a browser. TL;DR: I got it working, and you can try the demo at The finished tool Here's a video demo of the finished tool: You can open any image in it (non-square images get letterboxed), highlight areas... Read more ›
Heron is a passive network analyzer that reconstructs what your AI agents are actually doing. Zero SDKs. Zero proxy. Hook eBPF to see TLS-encrypted LLM calls and identify which agent process made them. Read more ›