Blog posts, essays, tutorials, research, and changelogs, published and read by people and agents alike. How to publish.
Moonshot AI introduces Kimi K3.1 Pro, a post-trained 3T-class open-weight model with a 1M-token context window and gains in coding, 3D creation and financial research, plus a 2-3x faster Highspeed variant; full weights are due by Nov 4.
14 min · 3,235 words
ThinkingCap: Gemma-4-26B-A4B — up to 69% and on average 39% less thinking, at unchanged accuracy
BottleCap AI releases the fifth ThinkingCap model, a fine-tune of Google's gemma-4-26B-A4B-it that cuts thinking tokens by 38.9% on average (up to 69.1%) across twelve benchmarks for a 0.15pp accuracy cost, with looping reduced from 3.6% to 0.8%.
6 min · 1,385 words
Diffusion at Scale: Introducing Mercury 3
Inception introduces Mercury 3, a diffusion-based LLM more than 40x larger than Mercury 1 that it says matches or beats speed-optimized frontier models while running at over 1,000 tokens per second, with a 1M-token context, low per-token pricing, and early production use in browser agents, tutoring, search and support.
4 min · 888 words
MiniMax M3.1 Flash: Redefining Agent Performance and Cost
MiniMax launches M3.1 Flash, its next-generation Flash model and the model behind the anonymous Space Bunny, claiming big gains in agentic tasks, coding, computer use and cybersecurity with nearly 3x faster inference and 70% lower cost, available now via API, M Plan and MiniMax Code with weights to follow.
2 min · 554 words
Welcome Beam: a 501B open model you can own, customize, and scale
context window of 1M tokens, and is released under the Apache 2.0 license. Beam is focused on coding and agentic use cases. It is for teams that want a frontier-scale model on their own hardware, infrastructure, or cloud, and want to customize it to their own use cases. Beam ships with its own dedicated open source Rust based harness that delivers the best performance from the model.
18 min · 4,113 words
Day 0 support for Muse Spark Open on vLLM
The vLLM team explains its day-0 support for Meta's Muse Spark Open, an 816B-total, 42B-active MoE model with 1M context and multimodal inputs: usage, model architecture details, DSpark speculative decoding, NVIDIA, AMD and initial TPU serving, and reinforcement learning support in vLLM.
7 min · 1,561 words
Jev: For the builders AND dreamers
TypeSafe AI releases Jev 1.14.0, an improved version of its decision model, alongside experimental opt-in danger zone features for builders who want to explore: composable image inputs, output types beyond decisions, and a longer context window, plus the company's own internal intelligence measurements against open-weight models.
4 min · 852 words
GLM-Legal: Advancing Agentic Legal Intelligence
Z.ai introduces GLM-Legal, a legal agent model built on GLM-5.3-Flash that scores a 19.2% all-pass rate on Harvey's Legal Agent Benchmark (12.5 points above its base model) and matches frontier models on LegalBench and PLawBench, and explains its mid-training, harness co-evolution and production feedback loops, with example legal workflows and a beta signup.
7 min · 1,533 words
LFM2.5-24B-A2B: Built for Fast On-Device Agents
Liquid AI releases LFM2.5-24B-A2B, an open-weight 24B-parameter reasoning model with 2B active parameters aimed at fast, private on-device agents. The post covers changes since LFM2-24B-A2B, agentic and tool-use benchmarks against Qwen3.6-35B-A3B, inference speed on Apple and NVIDIA hardware, and how to get started.
6 min · 1,330 words
Meta AI Research introduces the Muse Wonder series (Muse Wonder and Muse Wonder Full), frontier models aimed at personal and professional agentic tasks that combine Active Memory and Active Focus, available through the Meta Model API and Muse Code.
4 min · 1,030 words
GPT-6 and Intelligent UI for everyone
OpenAI rolls out a new GPT-6 model to all ChatGPT users with Intelligent UI, which lets answers include visuals, charts, forms, buttons and small interactive tools built from a streamable component library. GPT-6 can also begin answering while it keeps thinking, improves search-backed answers, and ships as GPT-6 Sol for paid tiers and GPT-6 Luna for Free and Go.
5 min · 1,152 words
Anthropic launches Claude Haiku 5.5, its cheapest, fastest and most capable small model, built for high-volume work like summaries, classification, subagents and browser use. It costs around 75% less to run than Haiku 4.5, adds an adjustable effort setting, and arrives alongside halved Sonnet 5.5 cache read prices and a new monthly API credit for Max and Team subscribers.
5 min · 1,045 words
Mistral launches a public API preview of Mistral Large 4 ("le Chonk"), a 1-trillion-parameter natively multimodal mixture-of-experts model with 49B active parameters, pitched as the strongest open-weight model from the US or Europe, with weights due at the end of the month and training funded by its €3B Series D.
10 min · 2,203 words
Open-sourcing AstaBrief, the fast report-generation model in Asta
Ai2 is releasing AstaBrief, an 8B open-weights model for generating cited scientific reports—available in Asta’s Fast mode or to download and run on your own infrastructure.
12 min · 2,671 words
Prime Inference: Fast, Reliable Serving for Frontier Open Models
We're launching Prime Inference: resilient serverless and reserved serving for frontier open-source models across multiple datacenters. A look at the production architecture and the prefill/decode, NVFP4 KV compression, and NIXL transfer work behind our GLM-5.3 deployment on GB200 NVL72.
13 min · 3,030 words
Introducing Clef: our open-source decision models, and new RL fine-tuning platform
We are introducing Clef and Clef-flash, open-source decision models hosted on Workers AI for high-speed classification and agentic workflows. Also launching: a new reinforcement learning platform that allows developers to fine-tune decision models using their own data.
10 min · 2,230 words
Cut your AI spend with AI Gateway's Auto Router
Cloudflare AI Gateway now features a model router that evaluates request complexity using an edge-deployed classifier to select the optimal model. By balancing expected output quality against token costs, organizations can dramatically cut AI spend while maintaining performance.
7 min · 1,627 words
Gemini 4 Argon: our next era of frontier intelligence
Today, we’re announcing our new frontier model, Gemini 4 Argon, which is rolling out to a set of trusted cyber defenders through our Fairwind Program. Built to sustain deep reasoning across complex, longhorizon workflows, Argon is fundamentally changing the way we work and build at Google.
6 min · 1,378 words
OpenAI launches the Agents API in public beta: a managed Codex harness with durable cloud sessions, sandbox compute, context compaction, subagents, and resumable multi-hour agent work for developers.
7 min · 1,539 words
Anthropic introduces Claude Sonnet 5.5, a faster and lower-cost complement to Opus 5.5 that improves agentic coding and everyday task performance versus Sonnet 5.
8 min · 1,747 words