
Guide Labs Open-Sources Steerling-8B, an LLM That Shows Its Work
YC-backed startup Guide Labs releases Steerling-8B under Apache 2.0 - an 8.4B parameter model with a built-in concept module that traces every output token back to its training data.
They summarize our coverage. We write it.
Newsletters like this one rebroadcast our headlines - often without the full review, the source reading, or the analysis underneath. Our weekly briefing sends the work they paraphrase, straight from the desk, before they get to it.
Free, weekly, no spam. One email every Tuesday. Unsubscribe anytime.

YC-backed startup Guide Labs releases Steerling-8B under Apache 2.0 - an 8.4B parameter model with a built-in concept module that traces every output token back to its training data.

Alibaba's Qwen team releases Qwen3.5-397B-A17B, an open-weight mixture-of-experts model with native multimodal support and a hybrid attention architecture that runs 8x faster than its predecessor. Apache 2.0 licensed.

Cohere Labs releases Tiny Aya, a 3.35B open-weight multilingual model that beats Gemma 3 4B in 46 of 61 languages on translation and runs at 32 tokens/sec on an iPhone.

Google DeepMind's drug discovery spin-off releases a proprietary AI engine that doubles AlphaFold 3's accuracy but breaks with the open-science tradition that made its predecessor a Nobel Prize winner.

A detailed feature comparison of OpenAI Codex, Anthropic Claude Code, and OpenCode - the three terminal-based AI coding agents competing to become every developer's default tool.

OpenClaw's GitHub security advisories jumped from ~90 to 130 in 48 hours. With 40,000+ exposed instances, a poisoned plugin marketplace, and malware targeting Mac Minis, the most popular personal AI agent is also the most dangerous.

LLMfit is a Rust-based terminal tool that scans your hardware and scores 157 LLMs across 30 providers for compatibility, speed, and quality. Here is why it matters.

TeichAI, a four-person non-profit, generated 250 reasoning samples from Claude Opus 4.5, fine-tuned open-weight models on the result, and racked up 67,000 downloads. The legal and technical implications are more interesting than the benchmarks.

Alpamayo 1, a 10-billion-parameter vision-language-action model that explains its own driving decisions, has become the most downloaded robotics model on Hugging Face - less than two months after its CES 2026 debut.

A practical, hands-on guide for software developers who want to finetune open-source LLMs and distill larger models into smaller, faster ones - covering techniques, tools, datasets, and cloud GPU options.

Georgi Gerganov's ggml.ai joins Hugging Face, bringing the most important local inference project under the $13.5 billion AI platform's umbrella.

Georgi Gerganov and the ggml.ai team behind llama.cpp are joining Hugging Face. The deal unifies model hosting, model definition, and local inference under one open-source roof.