Abdulrahman Alfozan, a former OpenAI software engineer, was arrested and charged with attempting to intercept oral communications after allegedly placing a hidden audio recorder in a San Francisco executive conference room. Prosecutors argued he posed a flight risk due to booked one-way tickets to Saudi Arabia, a claim his defense has denied.
Using a research model, Anthropic researchers discovered the origins of the NIST elliptic curve cryptography standard seeds, solving a long-standing cryptographic mystery and confirming the parameters were securely generated without intentional backdoors.
Using automated evaluation and closed-loop iteration, Anthropic's Claude model discovered novel quantum circuit designs that improve upon best published circuits by orders of magnitude. The research was led by Andi Gu as part of the Anthropic STEM Fellows Program in collaboration with Harvard University and QuEra Computing.
A Putin envoy stated that Russia and the US are discussing joint economic deals, which include investments in data centres. This geopolitical engagement could impact global AI infrastructure and cross-border computing resources.
A developer successfully ran the abliterated Qwen3.8-Flash-Next-GSQ-RCO model at IQ3_S precision on consumer hardware with 12GB VRAM and 32GB RAM, achieving 40-50 tok/sec decode speeds and high prefill performance at a 131k context window. This demonstrates significant advancements in running large language models locally on modest hardware setups.
A developer has released Qwen3.8-27B-antislop, an open-weights model fine-tuned with reinforcement learning to reduce repetitive phrasing and AI 'slop', achieving a top 4 rank on EQ-Bench.
Engineering leaders Addy Osmani, Morgan Westlee Lunt, and Qing Wang explain how the Claude Code team uses continuous AI review to catch routine mistakes before human code review.
Liquid has published two new notebooks demonstrating how to fine-tune its d1-3B decision model using Unsloth and Hugging Face TRL on a free-tier GPU in under 30 minutes.
The AWS Sales, Marketing, and Global Services Operations team published a detailed blueprint for building a continuous quality evaluation loop for multi-agent systems using Amazon Bedrock AgentCore Evaluations. The framework addresses the silent failure problem in production AI agents across a nine-stage lifecycle.
Researchers at Bar-Ilan University have introduced a new AI agent designed to help students automatically catch up on lectures they have missed. This educational AI tool streamlines academic recovery by summarizing and organizing missed course material.
Grok Bot has added support for a Tailscale plugin, enabling secure networking capabilities directly within the bot. This integration facilitates easier and more secure connections for users managing infrastructure through Grok.
A recent presentation discusses how software engineering is evolving into factory engineering, highlighting the growing importance of new tasks like AI factory benchmarking.
Users on Reddit report unusually fast depletion of token credits while running complex subagent workflows, prompting discussions about potential quota or tracking bugs.
Nathan Labenz and Prakash Narayanan examine how to grant AI agents operational access without losing human control, framed by real-world friction like autonomous password lockouts and cyberattacks on…
In this episode, Zoe Weil, co-founder and CEO of Sequen, joins us to discuss how ranking systems can use live behavioral signals to optimize for purchases rather than clicks or search relevance…
Technology has always been the fundamental driver of improvement for human quality of life. And with the recent rollout of advanced frontier models, like OpenAI’s GPT-6, humanity can now massively…
At AI Engineer New York, frontier labs and financial firms explored how to give agents useful autonomy while keeping consequential decisions under control.
How Leash Bio tamed DELs, the assay that traumatizes everyone, and used the data to catch cheating models. And why that same data is perfect for AI agents learning to think like chemists.
GovAI Research Fellow Alan Chan joins Nathan to examine the governance and safety infrastructure required for autonomous AI agents, spanning real-time monitoring, agent identifiers, and the risks of…
David Silver spent two years building AlphaGo on human data. When he removed human data altogether building AlphaGo Zero, the AI surpassed AlphaGo in under two days. He left DeepMind to run that same…
At AI Engineer New York, Anthropic drew on lessons from Unix and Linux to explain how agents can tackle bigger projects without overwhelming developers.