Chris Wake

Introducing Exa 3.0: our largest ever improvement to search quality. Exa is now #1 on every benchmark we tested, from public evals to verticals like coding and GTM intelligence. It's the result of multiple research breakthroughs 🧵

Today we’re announcing we’ve raised $20M in seed financing led by @QuietCapital , with participation from @GradientVC , @haystackvc and @CompoundVC and other amazing folks to build the verification layer for AI-driven biology. We are also delighted to be welcoming @vqctran who is joining us from @GoogleDeepMind as a co-founder. AI is not going to cure all diseases without a verification substrate - a scalable environment where models can test predictions and learn against living human biology. AI is becoming increasingly capable of generating biological hypotheses, therapeutic candidates and experimental designs. But generating ideas is advancing much faster than our ability to test what those ideas will actually do in human biology. Existing systems force a tradeoff: the most biologically relevant approaches are slow and expensive, while faster in vitro and computational systems often lack the fidelity needed to capture human response. Polyphron’s bet is that tissue is the fastest, cheapest, most parallelizable verification substrate that still contains the biology that matters and we believe the path to biological superintelligence runs through closed-loop interaction with these living and simulated human systems. Thank you to @axios for covering the announcement. Link to our new website in the thread.

Exa Websets is now live! 🚀 Supercharged search awaits. 👇

Announcing our Series A, led by @lightspeedvp, with participation from @nvidia and @ycombinator! 🚀 Exa is an AI lab redesigning search. Funding will help scale our API product, the first search engine built to power LLMs. Today, we’re also launching big product updates: 🧵

People think Google has a big moat in search, but that moat is actually a cage. "They have all the search data" --> That means their algorithm is designed for past search patterns, not future ones “They have all the click data" --> Which has optimized them directly into SEO hell “Their search is so fast" --> Sets a maximum for the power of algorithms they can run “They have the infrastructure to search the entire web each search" --> Causes information overload. Again restricts algorithm power. Less is more "They’ve been doing search for 25 years" --> The base search algorithm should be thrown out and redesigned now that we have systems with nearly human-level intelligence “They have billions of users and make over 100 billion dollars a year" --> It was difficult to turn the Titanic “They already solved search” --> For the easiest queries sure. But that reputation prevents exploration of new algorithms for hard queries. Ex: try to find a list of people who've written about search “They’re doing just fine, they don’t need to solve the hard queries” --> Exactly Google’s moat keeps them caged in their castle, while we barbarians explore a new rich search landscape. @metaphorsystems isn't trying to be Google, we're being something more

Soon, AI will search more than humans. Metaphor is the first search engine built for your LLM! With a few lines of code you can do a Metaphor (or keyword) search and get back clean, parsed HTML for any content. Get 1000 requests/month free at platform.metaphor.systems/ (1/3)

I founded a second AI company. We're pioneering an empirical, practical approach to AI alignment, leveraging law/policy & LLMs. Backed by top venture firms and AI researchers in the Bay Area & NYC, we're hiring 5 more Members of our Technical Staff. DM me your CV if interested

Excited to announce a big step toward organizing the internet! Metaphor now enables: 1. Neural search over the internet's newest content 2. Filter by any number of domains 3. Filter by date So you get all the power of Metaphor, but over a subset of the internet that you define.

New release! Go from zero to decision model in minutes. From routing to scheduling, packing, or creating something entirely new. Try it out and let us know what you think. hubs.ly/Q01mQ8jq0 #decisionscience #optimization #orms