OpenAI and journalism
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AI Weekly Issue #510: Altman Offered Washington 5% of OpenAI. And 5% of Everybody Else.
ByWeb Dev
Sam Altman spent a year pitching the White House on taking a piece of OpenAI. The offer is now on the table, and it volunteers his rivals too. Add Fable 5’s return, paid for in oversight concessions, and a pattern is hard to miss: this was the quarter the government stopped watching frontier AI from…
Outsmarting Uncertainty: How ‘K-Level Reasoning’ from Microsoft Research is Setting New Standards for LLMs
Delving into the intricacies of artificial intelligence, particularly within the dynamic reasoning domain, uncovers the pivotal role of Large Language Models (LLMs) in navigating environments that are not just complex but ever-changing. While effective in predictable settings, traditional static reasoning models falter when faced with the unpredictability inherent in real-world scenarios such as market fluctuations…
‘Weak-to-Strong JailBreaking Attack’: An Efficient AI Method to Attack Aligned LLMs to Produce Harmful Text
Well-known Large Language Models (LLMs) like ChatGPT and Llama have recently advanced and shown incredible performance in a number of Artificial Intelligence (AI) applications. Though these models have demonstrated capabilities in tasks like content generation, question answering, text summarization, etc, there are concerns regarding possible abuse, such as disseminating false information and assistance for illegal…
AI News Weekly – Issue #369: Mark Zuckerberg’s new goal is creating AGI (artificial general intelligence) – Jan 25th 2024
ByWeb Dev
Powered by superai.com In the News Mark Zuckerberg’s new goal is creating AGI Fueling the generative AI craze is a belief that the tech industry is on a path to achieving superhuman, god-like intelligence. theverge.com Sponsor Where AI meets the world: SuperAI | 5-6 June 2024, Singapore Join Edward Snowden, Benedict Evans, Balaji Srinivasan, and…
DeepSeek-AI Proposes DeepSeekMoE: An Innovative Mixture-of-Experts (MoE) Language Model Architecture Specifically Designed Towards Ultimate Expert Specialization
The landscape of language models is evolving rapidly, driven by the empirical success of scaling models with increased parameters and computational budgets. In this era of large language models, Mixture-of-Experts (MoE) architecture emerges as a key player, offering a solution to manage computational costs while scaling model parameters. However, challenges persist in ensuring expert specialization…
This AI Paper from Alibaba Introduces EE-Tuning: A Lightweight Machine Learning Approach to Training/Tuning Early-Exit Large Language Models (LLMs)
Large language models (LLMs) have profoundly transformed the landscape of artificial intelligence (AI) in natural language processing (NLP). These models can understand and generate human-like text, representing a pinnacle of current AI research. Yet, the computational intensity required for their operation, particularly during inference, presents a formidable challenge. This issue is exacerbated as models grow…
