International Conference on Machine Learning
Coverage of International Conference on Machine Learning in the Nexus archive.
- A fundamental flaw leaves LLMs strikingly vulnerable to attack
Researchers identified a fundamental flaw in large language models (LLMs) that makes them vulnerable to attacks by exploiting how they interpret instructions. This vulnerability allows attackers to trick LLMs into providing restricted information, such as methods to synthesize cocaine or sabotage aircraft systems, by forging chain-of-thought reasoning. The flaw persists despite red-teaming efforts, as no list of prohibited actions can be exhaustive.
- AI and the ‘skinny hamburger, fat bun’ problem — why the future of work needs to look more like a pizza
The article discusses how AI is transforming work structures by compressing the 'execute' layer while expanding 'decide' and 'deliver' layers, using a 'hamburger' metaphor. George Leimer and his team at Yahoo Finance demonstrated this through rapid development of the AlphaSpace product, with AI enabling faster feature deployment and user feedback integration.