How Claire Vo created ChatPRD while working a demanding job
Claire Vo built ChatPRD—an on-demand chief product officer powered by AI. It’s now used by over 10,000 product managers and is pulling in six figures in revenue.
The best part?
Claire has a demanding day job as the chief product officer at LaunchDarkly. So she built all of ChatPRD herself—over the weekend—with AI. — Read More
Daily Archives: June 21, 2024
Anthropic just dropped Claude 3.5 Sonnet with better vision and a sense of humor
Claude 3.5 Sonnet is the latest artificial intelligence model from Anthropic, one of the leading AI labs in the world. The company promises it is faster than its predecessor, has a better understanding of humor and can even read your handwriting.
Claude 3 Opus was already impressive. A model I dubbed the “most human-like” of any of the AI chatbots. I had a quick play with 3.5 Sonnet and it does seem more natural and with a better understanding of sarcasm. Claude is also listed as the best alternative to ChatGPT in my guide to chatbots. — Read More
AI Discovers That Not Every Fingerprint Is Unique
Columbia engineers have built a new AI that shatters a long-held belief in forensics–that fingerprints from different fingers of the same person are unique. It turns out they are similar, only we’ve been comparing fingerprints the wrong way!
… It’s a well-accepted fact in the forensics community that fingerprints of different fingers of the same person–”intra-person fingerprints”–are unique, and therefore unmatchable.
A team led by Columbia Engineering undergraduate senior Gabe Guo challenged this widely held presumption. Guo, who had no prior knowledge of forensics, found a public U.S. government database of some 60,000 fingerprints and fed them in pairs into an artificial intelligence-based system known as a deep contrastive network. Sometimes the pairs belonged to the same person (but different fingers), and sometimes they belonged to different people. — Read More
Mixture-of-Agents Enhances Large Language Model Capabilities
Recent advances in large language models (LLMs) demonstrate substantial capabilities in natural language understanding and generation tasks. With the growing number of LLMs, how to harness the collective expertise of multiple LLMs is an exciting open direction. Toward this goal, we propose a new approach that leverages the collective strengths of multiple LLMs through a Mixture-of-Agents (MoA) methodology. In our approach, we construct a layered MoA architecture wherein each layer comprises multiple LLM agents. Each agent takes all the outputs from agents in the previous layer as auxiliary information in generating its response. MoA models achieves state-of-art performance on AlpacaEval 2.0, MT-Bench and FLASK, surpassing GPT-4 Omni. For example, our MoA using only open-source LLMs is the leader of AlpacaEval 2.0 by a substantial gap, achieving a score of 65.1% compared to 57.5% by GPT-4 Omni. — Read More
Safe Superintelligence Inc. launches: Here’s what it means
Three well-known generative AI pioneers have formed Safe Superintelligence Inc., a startup that will focus on safe superintelligence (SSI).
In a post, former OpenAI leaders Ilya Sutskever and Daniel Levy and Daniel Gross, a former Y Combinator partner, announced the company’s role and mission. Sutskever was OpenAI’s chief scientist and Levy was an OpenAI engineer
Here’s the Safe Superintelligence Inc. mission in a nutshell. The three founders wrote:
“SSI is our mission, our name, and our entire product roadmap, because it is our sole focus. Our team, investors, and business model are all aligned to achieve SSI. — Read More
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