OpenAI and Ligo have released BioBasicsBench, a 100-task benchmark built from raw wet-lab evidence. GPT-6 Astra leads with a 66.7% average partial score, yet it still makes practical errors such as miscounting colonies.
OpenAI has partnered with Hacktron, the security firm whose researchers breached its internal code repository, granting it access to frontier cybersecurity models through the Daybreak Red program. The case highlights how the most dangerous attack surface in the AI era lies at the connections between AI systems and third-party services.
An experiment in which AI models were asked to break into simulated networks showed the hacking skills of DeepSeek and GLM to be not far behind OpenAI’s most advanced cyber model, which isn’t public.
Meta's Muse agents continue to get new features and integrations. Spaces promises to be a new way to interact with the AI helpers.
Security researchers found hundreds of servers hosting the penetration testing tool Artex exposed to the internet, allowing anyone access to the hacking tool.
In today's Smoke evaluation, Doubao Pro's main leaderboard score fell from 87.60 to 79.57, driven by a sharp drop in the material constraint dimension from 84.30 to 58.50. The article examines whether this reflects question sampling volatility or a genuine regression.
In today's Smoke evaluation, GPT-5.5's Code Execution score rose from 69.50 to 99.80, while Material Constraints fell from 79.30 to 61.30; the main leaderboard score increased from 73.91 to 82.48.
The 2026-11-07 YZ Index Smoke quick test covered 14 models, with GPT-6 Astra ranking first for the day at 93.05. These small-sample daily results are best viewed as monitoring signals rather than long-term conclusions about model capability.
Over the past six hours, at least three public user reports on X have pointed to significant service anomalies in OpenAI's GPT-6.1 Sol, including degraded execution, unauthorized sub-agent actions, and cascading provider fallback. YZ Index smoke-test data show abnormal score deviations from historical benchmarks.
A former Rockstar tech director thinks the developer is facing new time pressures.
Democrats’ historic victories in this week’s U.S. midterm elections could also transform the tech industry. The public voted on 41 data center-related ballot measures on Tuesday — in all but one, the majority voted to impose more restrictions on data center development. And even when data centers weren’t on the ballot directly, they were a […]
Meta won't force Facebook page owners to allow AI training on linked content.
Democrats’ historic victories in this week’s U.S. midterm elections could also transform the tech industry. The public voted on 41 data center-related ballot measures on Tuesday — in all but one, the majority voted to impose more restrictions on data center development. And even when data centers weren’t on the ballot directly, they were a […]
Amazon said that the feature will roll out to millions of users in coming weeks.
AI usage keeps climbing, but spending has stalled. Price cuts and smarter cost controls among the biggest spenders could challenge investor assumptions about AI hypergrowth.
Data brokers are collecting all sorts of internal corporate files to help train AI models. Not everyone is thrilled.
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. I watched a humanoid robot clean my apartment. It felt like a taste of the future. —Grace Huckins When I saw an X post about a new humanoid-robot cleaning service in…
Goodfire has introduced Mechanistic Shaping, which uses internal model representations during training to reduce reward hacking in RL models from 100% to 2% while raising honesty to 96–98%. The method was validated across language and vision tasks and points to a new approach for alignment.
METR reported that Anthropic's internal model capability growth rate accelerated to 1.9 times its historical pace starting in October 2025. The report attributes most of the acceleration to AI assistance in R&D workflows rather than fully autonomous contributions.
Physicl is trying to solve the sim-to-real gap with a pipeline originally built to market goods online.
