Fox 🦊

Conservative || Hindu Rashtra 🚩

[Fox 🦊 @DBdox]

@deepbarot @Global_Folder lol

[internet hall of fame @InternetH0F]

Finally found this classic 😭

[Andrej Karpathy @karpathy]

Three days ago I left autoresearch tuning nanochat for ~2 days on depth=12 model. It found ~20 changes that improved the validation loss. I tested these changes yesterday and all of them were additive and transferred to larger (depth=24) models. Stacking up all of these changes, today I measured that the leaderboard's "Time to GPT-2" drops from 2.02 hours to 1.80 hours (~11% improvement), this will be the new leaderboard entry. So yes, these are real improvements and they make an actual difference. I am mildly surprised that my very first naive attempt already worked this well on top of what I thought was already a fairly manually well-tuned project.

This is a first for me because I am very used to doing the iterative optimization of neural network training manually. You come up with ideas, you implement them, you check if they work (better validation loss), you come up with new ideas based on that, you read some papers for inspiration, etc etc. This is the bread and butter of what I do daily for 2 decades. Seeing the agent do this entire workflow end-to-end and all by itself as it worked through approx. 700 changes autonomously is wild. It really looked at the sequence of results of experiments and used that to plan the next ones. It's not novel, ground-breaking "research" (yet), but all the adjustments are "real", I didn't find them manually previously, and they stack up and actually improved nanochat. Among the bigger things e.g.:

- It noticed an oversight that my parameterless QKnorm didn't have a scaler multiplier attached, so my attention was too diffuse. The agent found multipliers to sharpen it, pointing to future work.
- It found that the Value Embeddings really like regularization and I wasn't applying any (oops).
- It found that my banded attention was too conservative (i forgot to tune it).
- It found that AdamW betas were all messed up.
- It tuned the weight decay schedule.
- It tuned the network initialization.

This is on top of all the tuning I've already done over a good amount of time. The exact commit is here, from this "round 1" of autoresearch. I am going to kick off "round 2", and in parallel I am looking at how multiple agents can collaborate to unlock parallelism.
https://t.co/WAz8aIztKT

All LLM frontier labs will do this. It's the final boss battle. It's a lot more complex at scale of course - you don't just have a single train. py file to tune. But doing it is "just engineering" and it's going to work. You spin up a swarm of agents, you have them collaborate to tune smaller models, you promote the most promising ideas to increasingly larger scales, and humans (optionally) contribute on the edges.

And more generally, *any* metric you care about that is reasonably efficient to evaluate (or that has more efficient proxy metrics such as training a smaller network) can be autoresearched by an agent swarm. It's worth thinking about whether your problem falls into this bucket too.

[Claude @claudeai]

Ads are coming to AI. But not to Claude. Keep thinking.

[Cloudflare Developers @CloudflareDev]

We took @openclaw and brought it to @Cloudflare Workers! With the Sandbox SDK, it's secure by default. Check out the blog post to learn how it all fits together...

Or skip straight to deploying 😎⬇️

https://t.co/eWVQT7D5fT

[CG @cgtwts]

> 1 trillion parameters
> cheaper than opus 4.5
> is open source
> beats Claude opus 4.5

[Fox 🦊 @DBdox]

@tweetciiiim Fake, there was a collision just last month —

https://t.co/TLtbJFYYrp

[Fox 🦊 @DBdox]

@KreatelyMedia Nonsense, literally happened hast month —

https://t.co/TLtbJFYYrp

[Cabot Phillips @cabot_phillips]

How CNN frames 6% inflation under Joe Biden vs. 2.7% inflation under Donald Trump.

[Nick Khami @skeptrune]

claude --dangerously-skip-permissions

[Johnny St.Pete @JohnMcCloy]

🔥👀🇺🇸 THE LEGEND OF “MAGA TYSON” WAS BORN TODAY.
If you put a megaphone with a BLARING SIREN in someone’s ear that w/ the intent to permanently deafen them…that is CONSIDERED ASSAULT & you can defend yourself.
He was tossing out HUMPTY DUMPTIES to every single one of them that ATTACKED HIM.

[Erica ❤️🇺🇸 @eric_hz143]

Simply a fantastic shot

[Fox 🦊 @DBdox]

@rishibagree @Tamal0401 On what basis are you accusing the company of being involved in coal scam?

[Fox 🦊 @DBdox]

@ODonnell4NH @elonmusk Why do idiots try to block the road and stop law-enforcement? 🤷‍♂️

[Fox 🦊 @DBdox]

@ScoopySnax @elonmusk Don’t block the road and try to stop law-enforcement? 🤷‍♂️

[Fox 🦊 @DBdox]

@sarkarstix @elonmusk Don’t block the road and try to stop law-enforcement? 🤷‍♂️

[Fox 🦊 @DBdox]

@PrepperCanadian @elonmusk Don’t block the road and try to stop law-enforcement? 🤷‍♂️

[chimp @chimpp]

Just gonna hold the throttle till I see God or the checkered flag

[Fox 🦊 @DBdox]

Hilarious 😂

[Russian Embassy in Kenya/Посольство России в Кении @russembkenya]

🎁 Christmas season is the time of giving, when Russia makes sure that all of its friends get something nice and are well and merry.

As for the naughty ones, they too will get what is coming for them.

[💖🌸 @utthishta_]

Shekhar gupta held back nothing 💀💀💀