Sam Altman returns as CEO, OpenAI has a new initial board
Mira Murati as CTO, Greg Brockman returns as President. Read messages from CEO Sam Altman and board chair Bret Taylor.
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Researchers from the University of Washington and Allen Institute for AI Present Proxy-Tuning: An Efficient Alternative to Finetuning Large Language Models
The inherent capabilities of pretrained large language models are notable, yet achieving desired behaviors often requires additional adaptation. When dealing with models whose weights are kept private, the challenge intensifies, rendering tuning either excessively costly or outright impossible. As a result, striking the right balance between customization and resource efficiency remains a persistent concern in…
Building an early warning system for LLM-aided biological threat creation
We’re developing a blueprint for evaluating the risk that a large language model (LLM) could aid someone in creating a biological threat. In an evaluation involving both biology experts and students, we found that GPT-4 provides at most a mild uplift in biological threat creation accuracy. While this uplift is not large enough to be conclusive,…
Researchers from Université de Montréal and Princeton Tackle Memory and Credit Assignment in Reinforcement Learning: Transformers Enhance Memory but Face Long-term Credit Assignment Challenges
Reinforcement learning (RL) has witnessed significant strides in integrating Transformer architectures, which are known for their proficiency in handling long-term dependencies in data. This advancement is crucial in RL, where algorithms learn to make sequential decisions, often in complex and dynamic environments. The fundamental challenge in RL is twofold: understanding and utilizing past observations (memory)…
Memory and new controls for ChatGPT
We’re testing the ability for ChatGPT to remember things you discuss to make future chats more helpful. You’re in control of ChatGPT’s memory.
This AI Paper from Stanford and Google DeepMind Unveils How Efficient Exploration Boosts Human Feedback Efficacy in Enhancing Large Language Models
Artificial intelligence has seen remarkable advancements with the development of large language models (LLMs). Thanks to techniques like reinforcement learning from human feedback (RLHF), they have significantly improved performing various tasks. However, the challenge lies in synthesizing novel content solely based on human feedback. One of the core challenges in advancing LLMs is optimizing their…
AI News Weekly – Issue #421: In AI copyright case, Zuckerberg turns to YouTube for his defense – Jan 16th 2025
ByWeb Dev
In the News In AI copyright case, Zuckerberg turns to YouTube for his defense Meta CEO Mark Zuckerberg appears to have used YouTube’s battle to remove pirated content to defend his own company’s use of a data set containing copyrighted e-books, reveals newly released snippets of a deposition he gave late last year. techcrunch.com Sponsor…
