Vibhu Tripathi

Posts about how not to build a startup. Building @codefacAI

[Vibhu Tripathi @not_vibhu]

@nikitabier and agents would invent their own currency to trade tokens, compute, storage
Stable AI economy

[Vibhu Tripathi @not_vibhu]

I love how he is the entire marketing team and it’s working

[Alexandr Wang @alexandr_wang]

you wouldn’t believe the kind of shit muse is getting invited to these days

[Vibhu Tripathi @not_vibhu]

All thanks to @tobi

[Thariq @trq212]

We're adding support for AGENTS.md to Claude Code.

Starting today in version 2.1.277, if there is no CLAUDE.md in a folder, Claude will check for and use AGENTS.md.

You can toggle this behavior in /config.

[Vibhu Tripathi @not_vibhu]

Is this the thing @ylecun has been talking about ?

[Guillermo Rauch @rauchg]

We're seeing extraordinary results from @typesafeai. Default mode in 𝚏𝚡 is auto, with a safety reviewer analyzing every command.

That reviewer runs on GPT Luna today. Jev is up to 18x faster (p95) *and* more accurate. It's coming to @vercel AI Gateway and likely new default.

[Vibhu Tripathi @not_vibhu]

It deserves more hate

[Sandi Slonjšak @sandislonjsak]

So happy that GraphQL is not a thing anymore. It was awful.

[Erik Spock Gafni (hiring!) @EGafni]

the memes on our discord 🤣🤣

[Vibhu Tripathi @not_vibhu]

People would have ignored this event if it was not Bhopal.

[Claude @claudeai]

Fable 5.1 Build Days start this week. The Claude community is hosting buildathons in cities all around the world from September 11–25. Bring a problem, an idea, or just show up and see what's possible.

RSVP at https://t.co/AjMK4OHHBV

[Vibhu Tripathi @not_vibhu]

It’s about time we start worshipping the models

[OpenAI @OpenAI]

We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics.

The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra.

The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.

[OpenAI @OpenAI]

We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics.

The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra.

The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.

[Vibhu Tripathi @not_vibhu]

If I was 17 again, I’d move to China

[Vibhu Tripathi @not_vibhu]

From 1800 to now
Labour factories → Energy factories → Compute factories → Intelligence factories
Each era didn’t just scale the last. It climbed on top and gained leverage.

Factories scaled human labour
Machines scaled energy.
Data centers scaled computation.
AI is now scaling intelligence

the progressive conversion of energy and matter into higher order forms excites me so much for the future

[Vibhu Tripathi @not_vibhu]

@paulg Isn’t that enough

[Vibhu Tripathi @not_vibhu]

https://t.co/ExdEUeb8dV

[Skyroot Aerospace @SkyrootA]

ORBIT ACHIEVED. 🚀

Vikram-1 Test Flight-1 has reached orbit. India's first privately developed orbital rocket has completed its final burn and injected its payloads into a ~450 km orbit, making India the third country in the world with private orbital launch capability.

History is made. 🇮🇳

#Vikram1 #JourneyToOrbit #SkyrootAerospace

[Aaron Levie @levie]

One of the key architectural questions of the 21st century in business will be how you maximize your corporate IP in the form of decisions, insights, workflow patterns, and best practices in a world where so much intelligence is packed into AI models.

One might think these questions could just get bitter lessoned out of existence, but in reality they become even more germane as intelligence becomes more powerful. In a world where any firm also has access to frontier intelligence, understanding how you leverage it uniquely becomes a critical question.

That’s why so much value is left to be created between the enterprise and the underlying AI itself. Having evals for your workflows, ensuring that you can route models from different tiers of intelligence, capturing traces in a way that improve your own workflows, and making sure the value of your information compounds as AI gets better all become critical considerations.

Which is also why there’s so much opportunity right now in the applied AI layer. The companies that help figure this out for other enterprises will be in the best position to win the next enterprise workloads.

[Vibhu Tripathi @not_vibhu]

@steipete That’s what we are building with https://t.co/tyBCpCk67F

[Paul Graham @paulg]

The best predictor of success for tech companies, at every stage from during the YC batch to public company with billions in revenue, is the rate of shipping new stuff.