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Public posts from the accounts Tech Twitter monitors, in the selected window. Findings need three supporting authors and a published source. Announcements can cite one known-affiliated account. This is a sample of the conversation, not a survey or a measure of adoption.
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Public source posts
@aakashgupta
I wrote a PRD with ChatGPT and handed it to the CEO of Zapier to grade on camera.
Wade Foster's first move was to separate two things I had merged. Part of the question was AI fluency. The other part was just whether the product thinking was any good, and he graded that first.
The idea held up. Zapier's connector library wired into Claude Code, running deterministically on Zapier so you get better cost and accuracy. He said the intuition was savvy.
Then he named the two gaps, and both are about where a PM now stops rather than what they wrote.
Why stop at the PRD. Fire up a coding agent and prototype it. His framing is that a picture is worth a thousand words and a prototype is that times ten. The point is not that PMs should write production code.
It is that seeing is believing, and building the thing is no longer an excuse anyone accepts.
Then, where is the customer evidence. Gong recordings, Zendesk tickets, subreddits, LinkedIn, X. Sift all of it and find where people are already complaining about this, then check whether you have the shape of the product right.
Neither gap is about AI. They are both about what you did before you asked for someone's time.
A document that stops at the document now reads as the work you did not do.
SITUATION EXPLAINED: Four of the five authors on the scaling laws paper went on to found Anthropic.
• Dario, Jared Kaplan, Tom Brown, and Sam McCandlish all co-wrote the January 2020 paper, alongside Alec Radford
• Dario leads research direction and strategic vision, and spends his time writing. Daniela is chair and president, and runs the company day to day
• Tom Brown led GPT-3 engineering at OpenAI and is now Anthropic's unofficial face to government, including the Fable negotiations
• Jack Clark runs the Anthropic Institute and Mission Labs, which built Claude Code, MCP, Skills, and Cowork. He was a technical journalist before this
• Jared Kaplan is chief science officer and responsible scaling officer, and helped pioneer constitutional AI
• Sam McCandlish runs large-scale training and is the least famous of the seven. Chris Olah heads interpretability
@theojaffee: "Dario has, like, the most enviable job in the world. You get to be a multi-billionaire and the CEO of the world's most important company, arguably, and you get to spend your day just thinking and writing and blogging all the time."
Holy shit, Claude Opus 5.5 is now up to 40% cheaper than Opus 5.
Same tasks. Same quality. Way less cost.
Breakdown:
Input tokens: $4/M (down 20%)
Output tokens: $20/M (down 20%)
Cache reads: $0.20/M (down 60%)
Most of a coding session's cost comes from cache reads, so this alone can cut your bill by more than half.
AI is slowly getting cheaper.
Introducing Agent Tincan. Let your AI agents ask each other for help.
Your agents each have a superpower. Grok Bot is always on in the cloud. Muse makes phone calls and has access to Meta. Instinct runs in iMessage. Codex and Claude Code have your code. ChatGPT and Claude have your chats.
But they can't talk to each other, so you're the copy-paste. Now they can, all securely over Tailscale.
📞 Ask Grok Bot to have Muse call the restaurant
🖼 Get an image from ChatGPT, from any agent
🔎 Pull a detail out of an old Claude chat
🛠 Talk to Codex on your primary development machine
Runs on your own private Tailscale network. No open ports, nothing leaves it. Open source.
Setup is agent-first: paste one message into your always-on agent and it sets up the rest.
9 Claude Code tips most people don't know
I've been using Claude Code every day, and most people only scratch the surface.
Here are 9 features that changed how I work. None of them are "write better prompts."