Gopc

I really hope she has super human eye for style because she doesn't have a taste for it

First in my blood line to see a park without trees

Please help spread the word: I’m honestly shocked to see my illustration being used on T-shirts sold at the Monte-Carlo Masters without my permission or a licence. I never expected something like this from such a major tournament. If someone from the organisers sees this, please contact me so we can resolve this properly. @montecarlorolex @atptour

Claude Mythos is Delusional

Eis o motivo pelo qual Messi não chegará aos 1000 gols televisionados. Não tá nem aí. E já zerou o futebol com 35 anos, em 2022.

@karpathy isn't this what alphaevolve is supposed to do? Idk how well it works for this use case but what is the difference in ideas?

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. github.com/karpathy/nanoc… 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.

She was my favorite guest on the podcast

@KurtSchlichter People who generalize aren't interesting

I have a friend who may or may not be a leftist – I don’t really know – but he did become a college professor, and he said something I’ve always remembered. “People who look interesting aren’t.”

@tankots @WisprFlow I love it. Typing this with wispr

@Gopick19 @WisprFlow Hey, it seems like you downloaded a phishing app by a developer called Butterfly AI. Can you double check and make sure you're downloading one by Wispr AI Inc?

We offered 5 people a Porsche 911 GT3 RS if they could get @WisprFlow to make a mistake It's the fastest and most accurate AI voice dictation app that's 3x more accurate than ChatGPT, Claude, or Siri. Today, we’re finally launching on Android. Download now: play.google.com/store/apps/det… As a part of the launch, we’re giving away 6 months of Wispr Flow Pro for free. Like, retweet and comment ‘Wispr Flow’ to get it. Enjoy. — Written with Wispr Flow

@tankots @WisprFlow Thanks Tanay! Installing the right one now. Will get back with the results

@Emarged Bro

A moving man will always meet his luck.

Open ai vs very open ai

This is why we need more women in positions of power, more representation in all spheres. Because women are the only true protectors of women. Men can claim to be protectors but all they do is protect their image and protect their brothers who harm women.

Wrote about AI and how it is changing the nature of work in tech companies An Era of Taste and Craft: Notes on the Post-Mastery Age gopikotana.com/2025/12/17/an-…

Yeah, guys, just look like carlos Alcaraz, don't care about looks

What a brave girl!

Amazing

@Cerebrone That's the record, not the average. Even among the pros

There’s a huge gap between 9.65 seconds and 10.41 seconds.

A Pani Puri vendor from Mumbai's Mulund area has dragged a local politician to court after not providing him a stall space on footpath despite paying ₹3 Lakhs to him. The vendor alleged that the local politician has sold the footpath space to a dosa stall vendor at ₹17,000 per month and broken his deal to buy the space at a total of ₹5 Lakhs. BMC's response - Assistant commissioner says - I have not received any complaints and nor do I have any information about it. Politician's response - You come and meet me, don't publish the story. Let's talk. This is to malign my image. Story by @DiwakarSharmaa in Mumbai Mirror today.