The notion that you need to build datacenters in space to skirt regulation is insane.
Is it not easier to build them in Argentina instead?
Larry Page reportedly has a number for how much computing will end up in space: five nines. As in 99.999%.
@patrick_oshag heard it secondhand: "Someone asked Larry Page how much of compute will be orbital, and he said five-nines."
@martin_casado's reason it might happen: "It's just basically regulatory." He thinks there are 500 proposed bills to stop data center building in the US, Texas included.
From @InvestLikeBest.
I'm launching Anduril for prospecting tomorrow
F your AI b2b SaaS.
We just launched Palantir for booking meetings.
The last 14 days, companies like @MonacoGTM , @Nowadaysai, @Rippling , @salesforce , @marketercom, @posthog , and @retellai spent $100k+ with us on literal cakes.
From today, Daymaker finds your prospects, reads their entire digital footprint, buys the one gift that makes their day, and gets you the meeting.
Comment your name and I'll reply with everything Daymaker finds on you and the gift it would send you. If you dare. 🎁
Martín Schere retweeted
wow jev 1.14 is stupidly good as a reranker
gg @typesafeai team
All these necklaces, wristbands, etc. that are essentially just Instinct clones are not gonna make it.
We have phones. Not enough value added to justify another piece of hardware.
Depends!
For me, I'm building sandboxes that need our dev environment (a full docker compose stack).
And that takes a while. 20 minutes with the wrong provider.
Idea: Internet for Agents.
Agents don’t need interfaces.
You expose a home URL with a markdown explanation of what your thing is.
Then expose endpoints that do stuff on your app. The agent uses the markdown to understand what to do.
Do you think we will see software that advertises “coded by hand” just like luxury cars advertise hand crafting?
1 hour after Opus 5.5 🤔
Please welcome GPT-6 Sol and GPT-6 Luna to the GPT-6 universe.
GPT-6 Sol and Luna build on the advances behind GPT-6 Astra, bringing much of its strengths into faster and more affordable models to support work at scale.
We’ve also made caching and inference more efficient, and we’re passing the savings directly to you: 50% lower API prices for Sol and Luna compared with GPT‑5.6 promotional pricing.
I’m still terrified about the data people are sharing to these agents.
AGI will know everything about you.
So, apparently Muse and Instinct are just OpenClaw under the hood, which is slightly disappointing to me, but also is a huge compliment to @steipete ‘s work.
Man built the kernel for proactive agents.
- They can only make it harder, they can’t make it impossible
- Agentic shopping is the future, if Amazon rejects it, they will be left behind
So, apparently Muse and Instinct are just OpenClaw under the hood, which is slightly disappointing to me, but also is a huge compliment to @steipete ‘s work.
Man built the kernel for proactive agents.
ChadCN
Introducing shadcn/lint. An agent-first linter for Tailwind design systems.
You define what’s allowed. When an agent breaks a rule, the error explains what’s wrong and how to fix it using your components, variants and theme.
There’s a lot you can do with this. Let me show you ↓
github.com/shadcn-ui/lint
A WhatsApp voice note to Instinct just replaced a service that cost me $1,999/year.
I asked it to replace my Doola LLC which has a bloated accounting package that I didn't need. Instinct just bought a registered agent and did the filings for me.
Lean, focused companies routinely beat giants in adjacent markets. If @noahrschinn and the team keep executing like this, Instinct has a real shot at becoming the de facto consumer assistant.
Could a frontier lab replicate it? Of course.
But I'd argue they have bigger fish to fry, and by the time they come around, they may be the ones chasing Instinct's tail.
For the past few days I've been using Instinct, the text message assistant that just raised at a $2.5 BILLION valuation.
It's an exceptional product, and the most proactive personal assistant agent I've used.
But it's doomed and their investors are going to lose all their money.
It's a perfect example of feature not a product.
The moment that OpenAI or Anthropic launches an integrated iMessage agent, it's game over.
Why would I want a personal assistant that doesn't have access to the memory/knowledge graph I've standardized on?
But who knows - maybe I'm wrong. Would love to hear the counter arguments.
So curious how their investors got there.



















