David Cox

Founder & CEO @IntegrateReason (YC S22, TechCrunch Biggest Moonshots) | Cited by Google DeepMind, Meta AI | ex Apple, my code runs 250B times / day

[David Cox @davidcox]

spent 3 hours on the application + 10 min interview. yc is life changing and doesn't end after the batch

[nizzy @nizzyabi]

it took 1 application for us to get into yc

[David Cox @davidcox]

@nstlopez @nexxeln same. switched to zfs years ago and never looked back.

[David Cox @davidcox]

@grhmc @ProgrammerDude I see this almost daily using Codex and Qwen 3.6

[David Cox @davidcox]

@tetsuo_cpp Yeah! I’m implementing a solver for mixed integer linear programs

[David Cox @davidcox]

I’ve been writing linear algebra code for the WSE-3 since November and agree that Cerebras doesn’t need CUDA.

Most CUDA functions don’t even make sense in the WSE’s 2D programming model.

[Andrew Feldman @andrewdfeldman]

AI as we know it might not exist if @nvidia had not gone all-in more than a decade ago.

CUDA was foundational to the development of AI and remains important for training.

Inference, however, is different.

CUDA has no role in inference.

AI is now useful.
For coding. For doing your taxes.
For finance, legal and HR departments.
People are coding their own apps, eliminating SaaS applications.

And none of them know anything about CUDA.
And of course it’s this way.
It always is.

When a new technology emerges the practitioners use low level software.

It looks like math.
Its written by the select few.
Graduate students.
Supercompute engineers.

But to get popular, the technology needs to leave this environment.
There simply aren’t enough technologists to make a market.
There are no low level programming languages that are popular.

They are just too hard.
In order to get popular, computer languages move from low level to high level.

Compare how many people write Assembly versus Python.

It’s: 1 vs. 10,000.

When a technology is used by those who know nothing about its creation, and instead care only about its usefulness, then it has broken through.

It takes 12 keystrokes to link a world class AI model to your application, and start getting blazing fast tokens.

You don’t need to know anything about AI.

There is no CUDA.

Just point to the OpenAI API. Or the Cerebras API. Or to Fireworks. Or to DataBricks.

Here is what you type to move from Nvidia GPUs to Cerebras.

API key= os.environ.get(“CEREBRAS_API_KEY”)

That’s it.

[David Cox @davidcox]

@skeptrune @0xajka @theo @michael_chomsky theo’s right, you should do all the editing yourself. you’ll have an easier time recording because you’ll know what you can and can’t clean up while editing.

[David Cox @davidcox]

@StandardDB @posthog lfg!

[David Cox @davidcox]

@evenfowler I know someone who fits that description perfectly:
https://t.co/eRL1BhtxMa

[David Cox @davidcox]

@lasermatts @davidliuxyz except it’s fake and (weirdly) patented
https://t.co/2en20pP1Fx

[David Cox @davidcox]

it’s also completely fake.

“Curious about its accuracy, I decided to stake out my local Domino’s. The plan is as follows: I’m going to place an order for delivery while hanging out in the restaurant, then compare each progress mark on the tracker with what’s actually happening with my pizza. Then I’m going to follow the delivery guy in my car until he arrives at my house, where my wife will be ready to receive him. For the record, I’m going into this hoping that the pizza tracker is not in fact a lie”

[David Cox @davidcox]

@daltonc @HeyGarrison as someone who’s been suffering for years doing a strange new thing, I endorse this message

[David Cox @davidcox]

psyched to be part of this. LFG!

[Vercel Developers @vercel_dev]

39 startups are building alongside Vercel for six weeks.

Backed by $8M in credits from AWS, Anthropic, OpenAI, ElevenLabs, and more, they have the resources to scale their infrastructure.

Meet the 2026 Vercel AI Accelerator cohort.
https://t.co/3H8v7xtdP5

[David Cox @davidcox]

@KagiHQ kinda feels like @duolingo should weigh in

[David Cox @davidcox]

that’s why we built https://t.co/kJcFXXeJKj

[vik @vikhyatk]

software generation is no longer the bottleneck. it's operations

trillion dollar opportunity for whoever solves it

[David Cox @davidcox]

rip CUDA

[David Cox @davidcox]

if you’re not in this room you’re NGMI!

[Cerebras @cerebras]

Standing room only.

[David Cox @davidcox]

@MeanSamGreene it’s not faster if everyone else is also faster…

[David Cox @davidcox]

if you’re not getting stuck anymore you’re not trying hard enough.

pick something 100x more ambitious than anything you’ve ever worked on and just start. you will get stuck. you might get un-stuck and build something great.

[Jared Friedman @snowmaker]

I realized something else AI has changed about coding: you don't get stuck anymore.

Programming used to be punctuated by episodes of extreme frustration, when a tricky bug ground things to a halt. That doesn't happen anymore.

[David Cox @davidcox]

@caballerobrah @SMT_Solvers I've never used SPARK/Ada but I built a SQL parser and query optimizer in Agda and ended up writing a lot of proofs along the way.

frama-c looks cool. have you seen clang's experimental bounds safety flag? https://t.co/Lo6SOJEmCA

[David Cox @davidcox]

@justinstorre @mintlify 👀👀