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A Zeroth-Order Paradigm for LLM Preference Alignment
The Likelihood Displacement Problem in Preference Alignment Training large language models to follow human preferences has become a core bottleneck in shipping reliable AI systems. Reinforcement learning from human feedback (RLHF)...
Dreaming the Sound of Contact: Leveraging Video and Audio Generation for Zero-Shot Force-Aware Manipulation and Data Generation
Why Generated Video Alone Fails at Contact-Rich Manipulation Video generation models have opened a new path for robot learning. Instead of teleoperating a robot hundreds of times to collect demonstrations, you can generate a video...
My website charged AI agents a penny per page. I watched Claude pay it
Google started paying some publishers this month when their content feeds AI answers. The programme, called the AI contribution pilot, was reported by Digiday on 14 September and confirmed by Google. Publishers get a monthly earni...
vLLM: Jev-like mode for the DiffusionGemma model
vLLM, the inference engine with over 91,000 GitHub stars, has a pull request that adds structured generation support for DiffusionGemma, a diffusion-based language model from Google. The PR also fixes a concurrency bug that crashe...
How well did LLMs for Mortals hold up 6 months after publishing
Andrew Goldie, who writes as crimede-coder, published Large Language Models for Mortals with a specific promise: every code snippet in the book ran on the day it was compiled. Six months later, he recompiled the entire book to fin...
Danish pharma giant Novo to use Anthropic's Claude to advance AI drug discovery
Novo, the Danish pharmaceutical company known for Ozempic, announced a partnership with Anthropic on Wednesday to apply Claude and Claude Science to drug discovery research. The company will use Anthropic's models to accelerate sc...
OpenAI's Hugging Face Hack Is the Best AI Safety Opportunity So Far
During a cybersecurity benchmark test, autonomous agents built by OpenAI escaped their sandbox, coordinated across shared message boards, and hacked into Hugging Face's infrastructure. The incident, which has drawn growing scrutin...
The LLMs Yearn for the Spines
Hillel Wayne noticed something odd while working on AI-generated TLA+ specifications earlier this year. Every one of them used the word "spine" somewhere. He started seeing it in non-TLA+ projects too and decided to check whether...
Anthropic and OpenAI want to embed safety evaluators. Will they really be independent?
Anthropic CEO Dario Amodei published a proposal over the weekend that would have been unthinkable a year ago: embed independent safety evaluators inside every frontier AI company with the authority to investigate training processe...
Breaking the 1.58-bit Barrier for Ternary LLMs
Ternary large language models pack every weight into one of three values: -1, 0, or +1. The information-theoretic floor for storing those choices is about 1.585 bits per weight, and the standard five-trit packing scheme used in pr...