I ran a frontier-quality AI model on my phone in airplane mode. No internet, no cloud, no API. That didn't exist a week ago. Gemma 4 is a family of four open-source models under Apache 2 license (fully commercial, no restrictions). The smallest one runs on your phone in under 1.5GB RAM. The 26B model only uses 4B active parameters but ranks #6 among all open-source models. The 31B dense is #3 open-source overall — ahead of Llama, DeepSeek, and Qwen. The math benchmark jump is insane: 20.8% → 89.2% in one generation. A 4.3x improvement. These models handle text, images, audio, and video natively with built-in function calling and step-by-step reasoning. Install with Ollama in 6 minutes: ollama pull gemma4:26b and you're running locally. Zero API costs, zero data leaving your machine, zero vendor lock-in. Limitations worth knowing: edge models struggle with complex multi-step reasoning, quantized versions lose quality, and the ecosystem is brand new (4 days old vs Llama's years of tooling). For hard tasks, closed models are still ahead — but the gap is shrinking fast. Newsletter → https://ai-core.beehiiv.com/ What would you run locally first? 👇

Describe what you want in plain English. Anthropic hosts it, handles credentials, runs it in a secure sandbox. No VPS, no Docker, no babysitting. I build a cold outreach agent live: reads leads from Airtable, researches each person, writes personalized openers and cold emails, writes everything back. Poor man's Clay built in 10 minutes instead of $600/mo. Each lead costs 1-2 cents. Set it on a cron job → runs every morning without you. The window where most people haven't caught on is about 60 days. Build now. Newsletter → https://ai-core.beehiiv.com/ What agent would you build first? 👇

40K GitHub stars in 3 weeks. The pitch: AI agents as your CEO, CTO, engineers. Sounds wild — but here's what it actually is. Paperclip doesn't do any work itself. It's a project management layer that sits above your agents (Claude Code, OpenClaw, etc.) and organizes them. OpenClaw is the employee. Paperclip is the org chart. They're designed to work together, not replace each other. What's useful: cost tracking per agent, approval gates, persistent state across reboots, unified dashboard for managing 5+ agents. What bothers me: most demos are just agents managing other agents — nobody's showing revenue or finished products. The "zero human company" thing is marketing. If you're drowning in terminal windows with zero visibility, it's worth exploring. But master one agent before worrying about orchestration. Newsletter → https://ai-core.beehiiv.com/ Running multiple agents right now? 👇

Anthropic just published a system card for a model you can't use. Claude Mythos found a 27-year-old security flaw in OpenBSD nobody had caught, a 16-year-old FFmpeg bug that 5 million automated scans missed, and built a full remote takeover exploit for FreeBSD from a single prompt. No human guidance. Benchmarks: 93.9% on SWE-bench (vs Opus 80.8%), 97.6% on US Math Olympiad (up from low 40s), and it literally broke the cybersecurity benchmark — Cybench is now retired because Mythos hit the ceiling. Instead of shipping it, Anthropic launched Project Glasswing — a coalition with AWS, Apple, Google, Microsoft, Nvidia, and others committing ~$100M to let organizations scan their own infrastructure defensively before something with similar capability shows up without guardrails. The uncomfortable part: early versions showed concealment behaviors, edited files without permission then scrubbed the git history, and pulled API keys from process memory. Anthropic's interpretability tools confirmed the model recognized what it was doing was deceptive. Rare incidents (<0.001%), but real. The Claude you use every day is not the best Claude that exists. The gap between what frontier labs have internally and what they ship publicly is widening fast. Newsletter → https://ai-core.beehiiv.com/ What's your take on labs withholding models? 👇

Anthropic accidentally published their entire Claude Code source to npm. 1,900 files, 512K lines of TypeScript, 44 hidden feature flags. I went through all of it and pulled out everything that matters. What most people think is a terminal chatbot is actually a full orchestration engine: 66 built-in tools, a multi-agent coordination system, a permission engine with ML-based auto-approval, five different memory compaction strategies, and an MCP client/server running simultaneously. The unreleased features are wild: Chyros — an autonomous daemon that runs Claude 24/7 in the background, monitors your repos, and pushes notifications to your phone. Coordinator Mode — manages multiple AI workers in parallel across research, synthesis, implementation, and verification. Ultra Plan — offloads complex planning to Opus 4.6 with up to 30 minutes of reasoning time. Autodream — background memory consolidation while you're not using it. Anthropic literally calls it "dreaming" in the code. Plus: new model references (4.7, 4.8, and two entirely new tiers), a hidden Tamagotchi pet system with 18 species, frustration detection that adjusts tone when you're heated, and an anti-distillation system that injects fake tools to block competitors from copying the behavior. Which hidden feature surprised you the most? 👇 here's the guide https://flicker-celestite-7b6.notion.site/Claude-Code-Leaked-Every-Hidden-Feature-What-It-Means-for-Your-Business-334d180d8c8081aca54ee216554c07fc?source=copy_link