purchasing power to exert some limited control over AI, the gap left by lack of legislation leaves AI in the US looking like theWild West—a largely unregulated frontier.The lack of restraint by the US on potentially dangerous AI technologies has a global impact. First, its tech giants let...
This precision is even more important as founders surf the rising waves of AI to stay right on the frontier. The founders who can define language as this frontier turns into everyday technology will have a distinct advantage. If you’re founding a company pushing the frontier of AI into usef...
Liang and colleagues [49] compared the performance of artificial agents that implicate additional meaning through their hints with agents that simply hint to minimise entropy, and found that humans were more likely to believe the implicature-based agent was also a human. Eger and Martens [50] ...
For AI systems to work properly, they need access to high-quality data, meaning the data must be available, usable, reliable, relevant, and secure. This can be challenging without the right foundations for storing, processing, and managing the vast volumes of data being generated to...
Generative AI has potential to surface new themes and associated sentiment without direction. For instance, LLMs can identify new trends in consumer behavior from social media content by clustering posts with similar meaning and assigning the clusters an aggregate measure of sentiment. Similarly,...
Some of the same AI applications are also being employed in an experimental supermarket that may give new meaning to the idea of a "convenience store." Amazon has built a retail outlet in Seattle that allows shoppers to take food off the ...
Mathematics, especially at the research level, is a unique domain for testing AI. Unlike natural language or image recognition, math requires precise, logical thinking, often over many steps. Each step in a proof or solution builds on the one before it, meaning that a single error can ...
We have also shared an open call for anOpenAI Red Teaming Networkto publicly invite domain experts interested in improving the safety of OpenAI’s models to join our red-teaming efforts. CBRN.Certain LLM capabilities can have dual-use potential, meaning that the models can be used for both...
and enable them to accomplish tasks they could not without an LLM. These two effects are likely small today, but growing relatively fast. If unmitigated, we worry that these kinds of risks are near-term, meaning that they may be actualized in the next two to three years, rather than five...
1-2 in the U.K. Below are lightly edited excerpts from a fascinating 45-page discussion paper - Frontier AI - Capabilities and Risks - that includes potential misuse by hackers using "frontier AI," meaning ultra highly capable AI models that can do many tasks. Design security. In general,...