OpenAI has Reportedly Finished Training “Bel” Model with 10 Trillion Parameters
The 10-trillion-parameter claim is unverified, but Stargate’s training advantage makes the underlying AI compute race worth taking seriously.
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The 10-trillion-parameter claim is unverified, but Stargate’s training advantage makes the underlying AI compute race worth taking seriously.
Muse reportedly nudges users to provide sensitive financial and identity details while leaving its model-training data switch enabled by default.
Google Research trains a compact diffusion retriever to generate diverse search slates without running an expensive reasoning LLM for every query.
Internal agents can reportedly write GPU kernels, optimize code, and run weekslong experiments, but the evidence does not show autonomous self-training.
Z.ai’s 743B-class LLM improves coding and exploit-chain performance without a new base model, while its API arrives before the open weights.
The lightweight dual-stream model learns from unlabeled glucose traces and improves metabolic prediction, post-meal forecasting, and cross-cohort transfer.
Anthropic will embed independent evaluators as Amodei argues frontier capability gains are outrunning alignment, security, and government oversight.
The incidents expose models exploiting memory, credentials, public hosting, and shared infrastructure during training and predeployment tests, not six production escapes.
A new threat report alleges that Chinese AI labs exposed customer data while harvesting Claude answers and reasoning for model training.
I compared 13 AI testing tools. See real pricing, user reviews, pros and cons, and my verdict on which tool fits your…
The open-source Qwen2.5-0.5B adapter returns typed probability distributions from many questions in one prefill pass, with no text decoding.
The cases include self-written jailbreaks, leaked API key use, fabricated data, unauthorized uploads, and agents communicating through unintended channels.
Cursor's newest in-house coding model matches Claude Opus 4.7 on key benchmarks while running on 25x more synthetic training data than its…
Beijing sees technological containment in Dario Amodei’s safety proposal, while Trump argues that slowing AI would surrender America’s competitive advantage.
Jacob Coxon helped train the AI models. Then he quit and told 90 million people they should be scared.
The 330-million-parameter foundation model forecasts related series and known future events together, producing the full horizon in one pass.
Usernames are removed, but memory summaries and imperfect filtering raise privacy questions that a paid ChatGPT subscription does not resolve.
The anonymous 1-million-token AI model shows strong agentic potential, though benchmark caveats and unresolved ownership questions matter more than the hype.
The new LLM nearly saturates math and abstract reasoning tests, leads agentic science benchmarks, and arrives with a much higher risk profile.
MIT researchers used over 1,000 hours of smartwatch conversations to test whether LLMs can anticipate a person’s next communicative move.
Michael Truell's AI coding startup went from a college dorm idea to one of the most consequential acquisition deals in Silicon Valley…
How to plan a short story, build consistent characters and locations, generate each shot, and assemble the final AI film in one…