Antonio Rodriguez

I’m doing a PhD in AI, which sounds impressive until you realize it mostly means I spend three years trying to make a computer say something slightly less stupid than it said yesterday.

People hear "AI researcher" and they think I’m building the future. No. I’m in a basement at 2 a.m. Googling, "CUDA error what the f**k does this mean."

And the worst part about AI research now is compute. You don’t even ask, "Is this idea good?" anymore. You ask, "Can I afford for this idea to be wrong?"

My advisor comes to me one day and says, "I think we should fine-tune our own language model."

I said, "Professor, with what money? I’m a PhD student. I have two bank accounts: checking and emotionally checking."

He goes, "Don’t worry. We have compute."

Now, in academia, "don’t worry" is never the beginning of a good sentence.

I said, "What do you mean we have compute?"

He said, "My friend knows the cluster admin. He can get us on the GPUs."

I said, "Okay… what do we have to do?"

He goes, "Nothing crazy. Just be very grateful in the acknowledgements."

I said, "How grateful?"

He said, "Maybe put him as co-author."

I said, "Co-author? Are we using the cluster, or is the cluster using us?"

Because at that point, that’s not a favor. That’s academic child support.

So I go to the server room, and the cluster admin walks up to me and goes, "So you’re the NLP student."

And in my head I’m like, "No, tonight you’re the principal investigator. You’re the provider. I’m just a little token waiting to be attended to."

Because whoever controls the GPUs controls the relationship. That’s lab romance.

He starts setting things up, and I’m trying to act casual, but I don’t understand any of the numbers he’s saying.

He’s like, "Yeah, I can probably give you four H100s for the weekend."

I’m nodding like, "Mmm. Four. Weekend. H. One hundred. Absolutely."

Inside I’m like, "Is that good? Is that prison time? Why did he say it like he was offering me organs?"

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upvoted a paper 5 months ago

WebWorld: A Large-Scale World Model for Web Agent Training

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8978

How to compress long code context? 📚

Check out our LongCodeZip! Paper just got accepted to ASE 2025. 🔥

Code: https://github.com/YerbaPage/LongCodeZip
Paper: LongCodeZip: Compress Long Context for Code Language Models (2510.00446)

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reacted to sadhaklal's post with 👀 over 1 year ago

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What happens when you combine the Chain of Thought (CoT) reasoning capabilities of LLMs with a heuristic-guided tree search algorithm? In the Tree of Thoughts (ToT) paper, the authors (Yao et al.) have coupled GPT-4 with tree search algorithms to attack a few tasks on which left-to-right CoT struggles. And the results are impressive. For example, on the "Game of 24" task, while GPT-4 with CoT prompting only managed to solve 4% of tasks, ToT achieved a success rate of 74%.

I've written a blog post that makes the ToT paper easy to understand and implement by taking you through all the details in a step-by-step manner: https://huggingface.co/blog/sadhaklal/tree-of-thoughts

If you are interested in the topics of algorithmic AI, tree search, reasoning, planning, or "System 2" thinking, then you may find this blog post useful.