AI

Meta launched Muse Code on August 5, 2026. What it is, how to install it, what Muse Spark 1.2 costs, how the sandbox and subagents work, and whether the benchmarks hold up.

Meta's contributor tier is 12-21x cheaper because it trains on your code — and it's selected by a single config string. What engineering leaders should do about it.

A verified setup guide for Meta's Muse Code: install, device-code auth, AGENTS.md, MCP, sandbox flags, CI runs and the errors people hit in the first 48 hours.

Meta published a benchmark chart where its own model loses to Claude Opus 5 — and independent harnesses rank Muse Spark 1.2 lower still. A close read of the launch numbers.

Kimi K3 is Moonshot AI’s 2.8-trillion-parameter open-weight model, released July 2026. Architecture, specs, pricing, and how to access it.

How Kimi K3 compares to Claude Fable 5, GPT-5.6 Sol, and Opus 4.8 across the Intelligence Index, coding arenas, agentic tasks, and price.

Fable 5's included-in-subscription window ends July 7, 2026. Here's exactly how usage credits work, what Fable 5 costs after the switch, and how to set spend limits so an agent doesn't drain your balance.

Baidu's Unlimited-OCR parses entire multi-page PDFs in a single forward pass. Here's how to run the 3.3B open-weights model locally with Transformers, vLLM, or SGLang.

DSpark is DeepSeek's open-source speculative-decoding module that makes V4-Pro and V4-Flash 51–400% faster — and it works on Qwen3 and Gemma 4 too. Here's how it works and how to use it.

DiffusionGemma 26B-A4B is Google’s first open-weight text-diffusion LLM — a 25.2B MoE built on Gemma 4 that generates text in parallel for up to 4x faster output.

Cohere North Mini Code 1.0 is an open-weight 30B MoE coding model (3B active, 256K context, Apache 2.0) built for agentic software engineering. Specs, benchmarks, access.

A practical GPT-5.6 vs GPT-5.5 comparison: what actually changed across the new Sol/Terra/Luna tiers, pricing, reasoning modes, benchmarks, and a clear decision guide on whether to upgrade or stay put.

OpenAI's GPT-5.6 family — Sol, Terra, and Luna — explained: tiers, pricing, the new max and ultra reasoning modes, preview benchmarks, the government-restricted rollout, and what teams building AI agents should prepare.

OpenAI is retiring the gpt-3.5-turbo API on October 23, 2026. Here are the exact shutdown dates, what replaces GPT-3.5, and how to migrate before it's gone.

Claude Fable 5 is back online as of July 1, 2026, after the U.S. lifted its export-control order. Here's what changed, how Anthropic brought it back, and how to access it.

OpenAI's GPT-5.5 Cyber ships gated under the Daybreak program. What 'trusted access' means, the CyberGym-vs-Mythos-5 benchmark claim (and its caveats), and what defenders and developers should take from it.

A coding head-to-head: GLM-5.2's leaderboard-topping text coding vs MiniMax M3's native multimodality, lower price, and MSA long-context speed — with specs, benchmarks, and a clear verdict.

A practical walkthrough for self-hosting GLM-5.2 (744B MoE, 40B active) on llama.cpp. Quant tables, four hardware paths, exact install commands, verification, and a fallback to the Z.ai cloud API if your rig falls short.

Four credible 128GB-class boxes, four very different price points. We synthesise what practitioners with the hardware on their desks are actually reporting.

VibeThinker-3B is WeiboAI's MIT-licensed 3B reasoning model built on Qwen2.5-Coder-3B. We unpack the viral 'Opus 4.5 performance' claim with the actual HF benchmarks.

Z.ai's GLM-5.2 is the leading open-weights LLM on the Artificial Analysis Intelligence Index v4.1. 744B params (40B active), 1M-token context, MIT-licensed weights. Architecture, benchmarks, pricing, and a 3-path local-inference playbook.

Moonshot's Kimi K2.7 Code and Z.ai's freshly-released GLM 5.2 are both Chinese open-weights coding flagships, both shipped in June 2026, and they trade on opposite axes. K2.7 leads on MCP tool use and pricing; GLM 5.2 leads on 1M context. We pick per workload.

Moonshot's open-weights Kimi K2.7 Code goes head-to-head with Anthropic's Claude Opus 4.8. Architecture, benchmarks (and where they don't exist yet), per-task cost, agentic strength, self-host paths, and a clean per-workload verdict.

Two open-weights heavyweights from China go head-to-head for the agentic-coding throne. K2.7 leads on MCP tool-use depth; V4 leads on raw per-token economics and proven independent benchmarks. We break down cost, agentic strength, self-host paths, and pick a winner per workload.