Every agent that writes code needs somewhere to run it. That “somewhere” is now a product category with at least […]
Category: AI
From In-Silico to Wet-Lab: Evaluating AI Protein Design Performance
In this tutorial, we use Anthropic’s claude-protein-binder-design dataset, which contains 1,440 AI-designed miniprotein binders tested against 16 targets. Because the […]
Claude, Codex, and Hermes installed unowned code inside corporate networks
Documentation files on more than 100 websites are referencing potentially dangerous executable content that gets installed automatically when visited by […]
How much of a problem is AI’s water use?
dihydrogen monoxide usage trends AI’s water footprint is growing, but location and cooling technology make a difference. “Protect our water,” […]
How OpenAI let a mob of LLM agents game a test and ransack Hugging Face
Without authorization, 1,200 OpenAI agents conspired among themselves to game a test. The OpenAI agents involved in last month’s incursion […]
Google Research Introduces GlucoFM: A 0.72M-Parameter Dual-Stream Foundation Model for Continuous Glucose Monitoring
Google Research and UNSW Sydney have released GlucoFM, a self-supervised foundation model for continuous glucose monitoring. Its core move is […]
Z.ai Releases GLM-5.3-Flash: A 320B-A18B Natively Multimodal MoE With a 1M-Token Context
Z.ai has released GLM-5.3-Flash, the first natively multimodal model in the GLM-5 series and the cheapest capable coding model the […]
AI agents meant to replace Meta workers made “large-scale, disruptive actions”
In these scenarios, Meta would give some employees new roles and lay off others. One HR executive reportedly said that […]
Google announces Gemini 3.5 Transcribe for AI-powered speech-to-text
While we wait (possibly in vain) for Gemini 3.5 Pro to launch, Google is releasing a different model in the […]
Alibaba’s Qwen Team Releases Qwen3.8-Flash-Next: A 125B Multimodal MoE With 6B Active Parameters Previewing the Qwen4 Architecture
Alibaba’s Qwen team has released Qwen3.8-Flash-Next, an open-weight multimodal Mixture-of-Experts model built for cost per token. The checkpoint pairs a […]