Meta Muse Wonder: Launch, Benchmarks and Pricing (2026)
Meta’s first frontier models launched 12 Oct 2026. We separate Meta’s benchmark claims from independent Artificial Analysis scores, break down the $4/$20 pricing, and explain who actually gets the strongest model.
Gemini 4 Carbon Explained: What Google Is Testing
An internal Gemini 4 checkpoint called Carbon is being tested by Google staff — and one engineer’s ‘feels like Opus 5.5’ verdict is the most talked-about unreleased-model claim of the week. We separate what’s confirmed from what’s hype.
Meta Muse Privacy Explained: The Dossiers It Keeps on You (and Everyone You Mention)
Meta’s Muse reportedly keeps hourly-updated profiles on you and everyone you mention, even non-users. What researchers found, what Meta says, and your controls.
Codex Security Explained: AI That Finds & Fixes Bugs
OpenAI’s Codex Security builds an editable threat model for your repo, reproduces flaws in a sandbox before flagging them, and drafts patches you review. Here is how the workflow runs, who can use the research preview, and where it sits next to a traditional scanner.
Gemini Agent for Work Explained: Coworker Agents (2026)
Gemini Agent for Work explained: how Google’s universal agent and coworker agents work, Gemini and Claude model routing, preview limits, a safe-rollout checklist and a 5-step first-week pilot.
Muse on iPad: New Work Tools Explained (2026)
Meta Muse is now on iPad with Canva, Figma, QuickBooks, GitHub and Zoom connectors. Here is what changed, who gets it, and how to set approval controls first.
Manus Cue Explained: Agents With Phone & Wallet
Manus Cue gives personal AI agents their own email, phone number, wallet and computer. We explain how Cue and Manus 2.0 work, what they cost, and the permission ladder to use before you let an agent spend or call for you.
Reflection AI Explained: US Open-Weight Bet vs DeepSeek
Reflection AI, the Nvidia-backed lab founded by ex-DeepMind researchers, is reported to be preparing its first open-weight model to rival DeepSeek and Qwen. No weights, name or benchmarks exist yet — this explainer separates confirmed facts from rumour and gives builders a readiness checklist.
Sam Altman: Accept Some AI Risks for Benefits
Sam Altman told Politico’s Decoded that AI benefits justify accepting some risks and broad public access, rejecting single-lab control as unacceptable.
Super Intelligence Force Explained: Trump’s AI Task Force
Trump’s new Super Intelligence Force has four leaders, a 120-day deadline and no regulatory teeth in its announcement. Here is what it will coordinate, what it cannot do, and the five tests for its February report.