open-weight
Multi-Token Prediction: Teaching Models to Look Several Words Ahead Lesson
Multi-token prediction trains a language model to predict several upcoming tokens at once instead of just the next one, giving a richer training signal and a built-in path to faster generation.
Alibaba Ships Qwen3.6 as Open Weights, Betting on Efficiency Over Size News
Alibaba released its Qwen3.6 line under Apache 2.0, led by a 35-billion-parameter mixture-of-experts model that activates only about 3 billion parameters per token and targets agentic coding.
A 'Duopoly' Fight Breaks Out Over Who Controls Open-Weight AI News
Investor David Sacks called the AI model layer an 'emerging duopoly' and warned against policies that entrench two firms, opening a public fight over whether open-weight models are a check on concentration or a national-strategy asset.
UK Safety Institute: Open Models Are Now Months, Not Years, Behind on Cyber News
The UK AI Safety Institute's first public cyber analysis finds leading open-weight models like GLM-5.2 now match closed frontier models from just 4 to 7 months earlier, at a fraction of the cost.
Mozilla Report: Open-Weight Models Now Route the Majority of AI Tokens News
Mozilla's first 'State of Open Source AI' report finds that open-weight models now handle the majority of production tokens on OpenRouter, with the five highest-volume models all open weights.
Kimi K3, a Frontier Chinese Model, Triggers a Global Chip Selloff News
Moonshot AI's Kimi K3 took the top spot on a frontend-coding leaderboard and helped push AI and semiconductor stocks down for a third straight day, with traders calling it a 'Kimi moment.'
An Autonomous AI Agent Breached Hugging Face's Servers News
Hugging Face disclosed the first documented intrusion of its production infrastructure driven end-to-end by an autonomous AI agent, and revealed its own defenders were locked out of commercial models by safety guardrails.
Two labs race to make AI write whole paragraphs at once instead of word by word News
Diffusion text models generate in parallel blocks rather than left to right; Google's open DiffusionGemma and Inception's Mercury 2 are now in a head-to-head over speed.
Suddenly, downloadable AI models look like an insurance policy News
With a top hosted model pulled overnight, a flood of powerful open models you can run yourself -- and run fast -- is being reframed from hobby to risk management.
Qwen3.6-35B-A3B Tool
Alibaba's open-weight agentic-coding model (35B total / 3B active, Apache 2.0) with 262K native context extensible toward 1M tokens, hybrid Gated-DeltaNet + MoE attention, thinking preservation across turns, and built-in tool use. Downloadable and self-hostable on common open serving stacks.
Qwen3-Next-80B-A3B-Instruct Tool
Alibaba's efficiency-focused open-weight model (80B total / 3B active, 512 experts) with 262K native context to ~1M, built around hybrid attention, high-sparsity MoE, and multi-token prediction; the model card claims roughly 10x inference throughput past 32K context versus a dense 32B baseline.
Leanstral 1.5 Tool
A free, open mixture-of-experts model specialized for writing machine-checked Lean 4 proofs and translating ordinary math into formal, verifiable form.
GLM-5.2 on Baseten Tool
The top trending open-weight model served as a fast hosted endpoint, reported at 280+ tokens/sec on Blackwell-class hardware -- an open model you can call like a closed one.
Fara 1.5-27B Tool
Microsoft's MIT-licensed 27B multimodal agent that operates web browsers from screenshots alone, emitting clicks, typing, scrolling, and navigation, and trained to pause on ambiguity or unauthorized irreversible actions.
DiffusionGemma Tool
Google's open-weight text-diffusion model that generates text in parallel blocks instead of one token at a time; Apache-2.0, runnable locally, with community tooling already shipping.