fresh

$nfd $dog

[fresh @YoSoy_Fresh]

@ivermectine01 I was diagnosed couple months after the shot. And I was healthy as one can be. Athletic as hell

[Nova @badattrading_]

The era of rugs and bundled scams should come to an end very soon just like the remove liquidity rugs disappeared slowly last year (we don't see them anymore now), same thing will happen to all the shit we've seen so far. More tools will be developed to protect basic memecoins buyers. Pumpfun, Bonk and all the others aren't interested in protecting you because all their business rely on volume from ruggers and money laundering. The first dev who makes the right tool that can detect bundled/cabaled garbage with 99% accuracy wins the game.

[Elon Musk @elonmusk]

@teslaownersSV

[fresh @YoSoy_Fresh]

@dogeofficialceo @elonmusk . You agree ?

[Sir Doge of the Coin ⚔️ @dogeofficialceo]

Natural Retardation is far more dangerous than Artificial Intelligence

[Phantom @phantom]

@earthcurated the lion doesn't concern himself with a little male pattern baldness

[Autumn @Autumn0365]

OMG wallstreetbets doing this again but now it will be their BIGGEST enemy USGOV

operation is goin viral, 10k upvotes in 9h

THE DEFLATION GLITCH describe $2 Bills as ultimate hedge against Fed

spend $2, people think they’re rare and keep them so they disappear from circulation

[Andrew Jiang @andrewjiang]

The brilliance of @karpathy is being able to distill vastly complex concepts and make them simple to understand and implement at a small scale.

All it took was Claude Code and $10 on @runpod to spin up a single H100, and I had a world class ML researcher working on autopilot.

I'm taking the general concept of autoresearch and applying it to an inference pipeline I've been working on (no GPU needed thankfully). Everything is so fun now.

[fresh @YoSoy_Fresh]

$pizza

G9ivB7K41a4G8m1k4QdxxN4L5eGKL7Mr12S26B85pump

[Prometheus @_pr0m3th3uss_]

I bought 10x boost for the community to help with trending who wants to match me?

[Farzad 🇺🇸 🇮🇷 @farzyness]

I asked Grok 420 to dumb this down for all of us retards:

### What actually happened
Karpathy (a famous AI guy) built a little AI helper called “autoresearch.”
He left it alone for 2 days on a tiny version of his project called nanochat.

That little AI ran **700 experiments by itself**.
It kept looking at the results, learning what worked, and trying smarter ideas next — exactly like a human researcher would do.

It discovered **~20 real improvements** that no one (including Karpathy) had found in years of manual tweaking.
He tested them on a bigger model and they all added up nicely.

Result?
His project now trains **11% faster** — the official leaderboard score dropped from 2.02 hours to 1.80 hours.
That might sound small, but in AI it’s a *huge* win.

### Why this feels like a giant deal
Normally Karpathy (and every AI engineer) does this the old-fashioned way for 20 years:
- Think of an idea
- Code it
- Test it
- Read papers for inspiration
- Repeat forever

It’s slow, tiring, and you miss stuff.

This time the AI did the **entire loop by itself** — no human in the loop for days. It spotted things like:
- “Hey, you forgot a tiny knob that makes the model pay attention better”
- “Your model likes extra guardrails on one part (regularization) — you weren’t using any!”
- “Your attention window is too narrow — let’s open it up”
- “Your optimizer settings are weird — here’s the fix”
- Better schedules and starting points, etc.

These are the kind of tiny-but-powerful tweaks that usually take humans weeks or months to find. The AI found them in 2 days and they all stacked together.

### The bigger picture (this is the exciting part)
Karpathy says:
**“Every big AI lab is going to do this. It’s the final boss battle.”**

Here’s what he means in plain English:

1. Start with a swarm of AIs (not just one).
2. Let them experiment on cheap, tiny models.
3. Keep only the best ideas and try them on bigger models.
4. Humans only jump in for the really hard stuff.

Repeat → you get faster and smarter models with way less human work.

And it’s not just for training speed.
**Any goal you can measure** (speed, accuracy, cost, safety, creativity — whatever) can be handed to an AI swarm if you have a quick way to test it.
Your problem might be next.

### Bottom line
This is the first time Karpathy watched an AI do his entire 20-year job **autonomously** and actually beat him at it.
It’s not sci-fi anymore — it’s happening right now on a public GitHub project.

That’s why it feels like a giant deal.
It’s the moment we went from “humans tune the AI” to “AI tunes the AI… and does a shockingly good job.”

Mind officially blown? Yeah, mine too. 😄

[Wes Roth @WesRoth]

who had money on Karpathy triggering The Intelligence Explosion?

[ericosiu @ericosiu]

Karpathy's autoresearch isn't just for AI research. You can use it for business.

Imagine running 700x more experiments:

- Landing pages
- Creatives
- AEO/SEO
- Pricing
- E-mails
- Cold outreach
- Warm outreach
- AP/AR
- Procurement

Revenues: 📈