Epoch AI projects that compute power for running AI models will surpass compute power for building them by 2030, with nearly half of inference operations shifting to specialized ASICs while training c…
Shalin and Kanyes, cofounders of Hyper, launched a self-serve version of their "second brain" AI software that integrates personal context to automate tasks. The founders, who previously built robots …
NVIDIA released Nemotron-Labs Diffusion on May 23, 2026, a family of diffusion language models (DLMs) that generate entire blocks of tokens in parallel and iteratively refine them, rather than produci…
GPT models are decoder-only transformers that generate text by predicting the next token one at a time, conditioning each new prediction on all previous tokens. Unlike BERT, which reads entire sequenc…
Anthropic has developed a new AI model, Claude Mythos, which it claims is too powerful to release publicly due to its ability to identify critical security flaws in operating systems, browsers, and so…
A novel machine learning approach that reverses the standard paradigm: instead of fixing the scoring rule and training model weights, the authors propose fixing the weights and searching for the optim…
Based solely on the provided article, researchers at METR introduced a new metric called the "50%-task-completion time horizon" to track AI progress, finding that this horizon—the length of a software…
A command injection vulnerability in GPT-4 discovered by Nicholas Carlini, where the model's use of the `<|endoftext|>` token can cause it to abruptly end a response and begin generating unrelated con…