4 min read
River AI's $1.1B bet: personal AI you…
xAI co-founder Igor Babuschkin raised $1.1B for River AI, an API that turns open-weight models into yours via LoRA and RL. Here is what the stack actually ships today.
Blog 388 posts
Notes from the trenches on AI engineering, LLM apps, and the full-stack work that holds it all together.
5 min read
Grok Bot turns xAI into a group…
Grok Bot gives each agent its own cloud computer, iMessage-style messaging, and parallel specialist lanes. Here is what builders should steal from the beta launch.
4 min read
Claude pushed a 160-year math bound from…
Anthropic's unreleased Claude did not solve the Riemann hypothesis. It did coordinate ~60 Claude Code subagents, run 2,400 shell commands, and ship a Lean 4 proof that raises the proven zero bound to 67.2%.
5 min read
Google DeepMind's safety team doesn't trust its…
DeepMind's AGI Safety and Alignment Team told job applicants there is a non-trivial probability automated screening will reject them incorrectly. They built a bypass form. If Google won't bet on its own filters, you shouldn't either.
3 min read
GPT-5.6-Cyber found Chrome V8 zero-days: what Daybreak…
OpenAI split Daybreak into Blue and Red tiers. GPT-5.6-Cyber answers 95% of sensitive security prompts versus 1.5% for GPT-5.6 Sol, and its V8 findings became CVE-2026-15903 in Chrome stable.
6 min read
Meta Muse Glimmer: a 30B open agent…
Muse Glimmer ships Apache 2.0 weights tuned for local tool loops, failure recovery, and multimodal agents. Here is what matters if you build on-device AI instead of renting frontier APIs.
3 min read
Metis puts agent memory inside the forward…
Metis is a memory foundation model prototype: persistent state lives in the transformer backbone, updates with a gradient-free forward pass, and reads through dedicated memory attention instead of RAG retrieval.
3 min read
Nemotron 3.5 Lightning: 30B MoE with 3B…
NVIDIA's open Nemotron 3.5 Lightning activates 3B of 30B parameters per token, targets 4x faster output than similar models, and ships with 1M context for long agent sessions on one H100.