Measuring reward-seeking by instilling contrastive beliefs
(news.ycombinator.com)
1.
2.
Controlling Reasoning Effort in LLMs
(news.ycombinator.com)
3.
The Little Book of Reinforcement Learning
(news.ycombinator.com)
4.
Scaling to 1M concurrent sandboxes in seconds
(news.ycombinator.com)
5.
Is One Layer Enough? A Single Transformer Layer Matches Full-Parameter RL Train
(news.ycombinator.com)
6.
7.
Building a custom octocopter from scratch with no prior hardware experience
(news.ycombinator.com)
8.
AI learns the “dark art” of RFIC design
(news.ycombinator.com)
9.
AI Is Designing Radio Chips That Humans Couldn’t Even Imagine
(spectrum.ieee.org)
10.
TycoonLE: A Jax reinforcement learning environment for long-horizon planning
(news.ycombinator.com)
11.
It Takes Two Neurons to Ride a Bicycle
(news.ycombinator.com)
12.
PopuLoRA: Co-Evolving LLM Populations for Reasoning Self- Play
(news.ycombinator.com)
13.
The last six months in LLMs in five minutes
(news.ycombinator.com)
14.
15.
17.
Following the Text Gradient at Scale
(news.ycombinator.com)
18.
20.
OpenAI talks about not talking about goblins
(theverge.com)
21.
How to build custom reasoning agents with a fraction of the compute
(venturebeat.com)
22.
23.
24.
25.
26.
27.
Evaluating large language models for accuracy incentivizes hallucinations
(feeds.nature.com)
28.
MiniMax M2.7 Is Now Open Source
(news.ycombinator.com)
29.
Simulating a 2D Quadcopter from Scratch
(news.ycombinator.com)
30.
Meta's Superintelligence Lab unveils its first public model, Muse Spark
(arstechnica.com)