uv @astral_sh is simply brilliant. Installed it, blinked, and everything was done. Makes one look back on the pip years like a wretched country house weekend that somehow lasted a decade. Jolly good. Pass the gin.
In AI most people are still trying to use old maps on a new territory.
Throw the maps away. It's time to draw new ones. The only way you can do it is walking the land.
We've always told startups to launch early, but I realized there's a powerful new reason to.
Before you launch, the speed you can build is now mainly limited by your imagination in what you tell AI.
After you launch, the AI can watch your users and make improvements on its own.
Our Anthropic bill is about to jump from $400K → $1.4M/yr.
Not because usage exploded, but because we're about to cross 150 seats.
Past 150 seats you're forced into Enterprise tier. Seats stop including any usage, every token bills at standard API rates. At our current run rate that's 3.5x overnight.
Unfiltered thoughts on AI spend:
1. We should spend tokens to grow as aggressively as possible. But most people (me included) aren't conscious of what they're spending.
2. Visibility comes first. People see their personal number and they're shocked. I accidentally spent $4,000 in 3 days in Claude Code.
3. For engineering the spend is clearly worth it. Pay for the best model, it saves more than it costs.
4. For a lot of other roles it's questionable. Apps nobody uses, skills someone already built. No ROI.
5. Spend limits are coming. We already require approval for more tokens on our support team.
The era of token-maxxing is coming to an end.
NEW MEDIA is INSIDER MEDIA
Rooted in Silicon Valley, but really a meditation on the moment. A theory of culture, taste, prestige, of TBPN, Mafia, Feed Me, and why a small audience of the right people beats a massive one of the wrong ones.
Working Theory #100
Essay link below