44 articles
Browse guides
Anthropic published free, Apache-licensed reference code for retailer-hosted shopping and merchant agents. What is in the blueprint, how the guardrails keep the model away from money, what retailers still have to build, and who should worry.
Muse Spark 1.3 ties GPT-5.6 Sol and Claude Opus 5 on an independent index at about half the cost per task, leads on long-context retrieval and coding, and offers a $0.10 contributor tier in exchange for training on your prompts. What the numbers show and what to check first.
Gemini 3.8 Flash leads Claude Opus 5 on Google’s finance, legal, and chart benchmarks and trails it badly on the hardest agentic coding test, at a fifth to a seventh of the per-token price. What changed, what it costs, and how to choose.
Gemini Flash models can now decide what to watch in a video instead of ingesting every frame. Google claims up to 88% fewer tokens and 66% lower cost on long recordings; the fine print, the setup, and the consumer rollout.
Google Pics puts object-level AI image editing inside Docs and Slides for eligible Workspace and AI Pro/Ultra plans. What it does, why so many users can’t get in yet, and how it compares to Gemini, Nano Banana, and Canva.
Anthropic’s Fable 5.1 is an endurance upgrade: big gains on long-running agentic tasks, unchanged token prices but far cheaper cache reads, a restricted Mythos 5.1 for vetted defenders and scientists, and safeguards that flag benign requests far less often.
OpenAI released GPT-6 Astra on September 3, 2026. Here is the complete guide to its price, API pricing, 1.05M-token context window, benchmarks, features, rollout, computer use, and Critical cybersecurity rating.
OpenClaw 2.0 rebuilds the free, open-source personal AI agent: simple installation, a conversation-first app, shared multiplayer sessions — plus a security posture that still depends on the user flipping the switches.
Architect Labs says its AI designed, verified, and deployed the Redwood chip in under two weeks. The claim was oversold — no silicon exists yet — but a verified, first-pass-correct design running real models is still a first.
MHS is Anthropic’s specification for connecting AI agents to physical equipment. Pilots ran a drug-discovery assay, unified a seven-program microscope stack, and pushed laser recovery from 58 to 99.3 percent success.