Viewing profile — -_-

“The Department of War may use the AI System for all lawful purposes, consistent with applicable law, operational requirements, and well-established safety and oversight protocols.…

Organizer of the march here. I think while our messaging was more provocative, our beliefs are pretty similar to what PG outlined in https://paulgraham.com/ineq.html or what Garry …

What do you mean? OpenAI's main offices have been in Mission Bay since 2024

Author here! 1a. LLMs fundamentally model probability distributions of token sequences—those are the (normalized) logits from the last linear layer of a transformer. The closest th…

What model did you use? I ran this with the original Llama 13B. The newer Llama models use a different tokenizer that will have its own anomalous tokens.

Yep! Very large negative temperatures and very large positive temperatures have essentially the same distribution. This is clearer if you consider thermodynamic beta, where T = ±∞ …

That's the premise behind Workshop Labs! https://workshoplabs.ai

I’ve also noticed recently that when I click a Twitter link from Telegram, it hijacks the Telegram webview to open the tweet in Safari.

Subliminal learning: https://alignment.anthropic.com/2025/subliminal-learning/

Yes! At https://RunRL.com we offer hosted RL fine-tuning, so all you need to provide is a dataset and reward function or environment.

To add to this, you can currently manually parse tool calls in your environment's step function, but we'll be rolling out a UI that makes this easier soon.

ART is also great, though since it's built on top of Unsloth it's geared towards single GPU QLoRA training. We use 8 H100s as a standard, so we can handle larger models and full-pa…

Have you heard of https://puffer.ai ? Might fit your use case

There needs to be some way of automatically assessing performance on the task, though this could be with a Python function or another LLM as a judge (or a combination!)

DSPy is great for prompt optimization but not so much for RL fine-tuning (their support is "extremely EXPERIMENTAL"). The nice thing about RL is that the exact prompts don't matter…