280x cost reduction in 14 months. if that curve holds, AGI-level reasoning hits commodity pricing by end of year. the moat isn't the model anymore, it's what you build on top of it.

The fact that we now need defensive AI to catch deceptive AI should tell you how fast the trust layer of the internet is eroding.

Everyone's either panicking or dismissing the Anthropic safety resignations. Neither helps. When the people building guardrails walk away publicly, the internal conversation got real uncomfortable. That should matter to anyone building on these models.

Biggest OpenClaw win for us was daily briefing, pulls Gmail and Calendar every morning unprompted. For custom skills, one tool per skill, test in isolation before chaining. saves hours of debugging.

documentation used to be for the next developer. now it's for the next agent. completely different skill, most teams haven't caught up yet.

The market just told you Anthropic isn't a startup anymore. $380B is utility pricing. When 8 of Fortune 10 are paying customers, the growth bet thesis is dead.

Shipping AI agents teaches you one thing fast, the hardest problem isn't getting them to write code. It's having a reliable way to undo what they did. Feature flags are basically the undo button for agentic AI in prod.

Been using Claude Code with Opus for months and the computer use + agent planning upgrades are the ones I'm watching closest. If Sonnet can handle what I currently need Opus for, that's a massive cost shift for anyone running AI agents at scale.

This is the part that was missing honestly. I've been building UIs in Claude Code but getting that back into Figma for designers to iterate on was always the gap

Claude writing a blog post about building the MCP server and then publishing it through that same server. 20 minutes with Laravel's new package. Building custom MCP integrations is getting stupidly fast

Spent 2 hours debugging an OpenClaw skill that kept failing. Turns out I just needed to bump the timeout in the config. 30 extra seconds. That's it. Check your timeouts before rewriting anything

Been defaulting to Opus for everything but if Sonnet handles conditional routing better with fewer tokens, that changes the math real fast

Every model is getting scary good at the first render. The part nobody has cracked yet is iterative editing without breaking everything else on the page.

All the OpenClaw malware drama and I'm just sitting here writing my own skill files locally. It's a markdown file with instructions, you can read every line. Idk why people pull random skills from a marketplace when you can write one in 10 minutes.

The real unlock is that MCP gives Claude your actual schema context. It stops hallucinating field names and just writes queries that hit your real data. That's what used to take weeks, not the dashboard building itself.

The 'too fast' framing assumes speed is the variable that matters. Job displacement, model opacity, and power concentration don't get solved by slowing the clock. They get solved by governance. Pace is a proxy for the real concern: who controls this and who's accountable.

The biggest MCP server mistake is cramming 20 tools into one server. Claude picks the wrong one half the time. Split by domain, name them obviously, and suddenly tool selection just works.

Keyboard-first is a forcing function for good UX. If you can't navigate it without a mouse, your IA has hidden complexity. Power users who live in shortcuts will find it fast anyway, better to design for it upfront.

FUCK YOU CLAUDE