Lucidity Sciences

#datadaytexas keeps it so real. By far one of the highest densities of high-quality data and AI discussions I’ve seen at a conference. And it was an awesome lineup to get to be a part of. Thanks to everyone that came to my talk on Saturday and discussion session Sunday, or chatted with me in the halls or over dinner about the field, the future, the history, and the state-of-the-art. Huge thanks to Lynn Bender for a truly amazing event and fostering such an incredible community. Feel free to DM me for the slides, and I hope everyone makes it back home safely! #data #ai #artificialintelligence #ml #machinelearning

Stay tuned for more information at the beginning of the year, but here’s a little sneak peak at what we’ve been working on at Lucidity Sciences that I shared on the The Applied AI Podcast earlier this week. We’re proving that better math and methods can eliminate some of the established tradeoffs between accuracy and efficiency that people have come to expect in ML, and can even produce results well beyond the prior state-of-the-art. I’ll be sharing more information in the new year, and will be presenting on some of the new mathematical paradigms for ML that powered these breakthroughs at Data Day Texas in January. #machinelearning #artificialintelligence #math #data #technology #innovation

I'm a few days late on this, but I wanted to give a huge thanks to AI Utah and Jon Bradshaw for the opportunity to present our work at Lucidity Sciences to the engineering community here last Friday. I was blown away by the thoughtful questions and engagement from everyone there, and it was a great reminder (along with the excellent presentation from Miriah Peterson) of what an impressive pool of technical talent we have here in the state. Special shoutout to Jared Carlson, Chris Brousseau 🤯, and 🎧 Eric Riddoch for the great discussion (and a few others whose names I missed, but please drop me a comment if you see this!). So grateful to be a part of this community! #ai #utahtech #utah #ml #technology

The Most Interesting AI Companies in Utah? Here's What the AI Utah Experts Think. In a private room buzzing with brainpower and ambition, over 50 of Utah’s top AI builders and leaders gathered for an off-the-record, deep-dive discussion on the state—and future—of artificial intelligence in the Utah. Jacob Miller, Head of AI at Pattern and Board Member of AI Utah, and I had the honor of guiding the conversation. We asked just one simple question: “If you had to work at any AI company other than your own, which would you choose?” The responses were revealing. The room included a who’s who of Utah’s AI talent—VPs of AI/ML, startup CTOs, and several well-known investors. Everyone leaned in, curious to see which companies would rise to the top of the list. After a spirited round of discussion, here's the list that emerged: (Companies listed in no particular order) - SchoolAI: Caleb Hicks and Cahlan Sharp - Pattern®: David Wright, Ryan Byrd, Jason Wells, and Jacob Miller - Jump - Advisor AI: Parker Ence and Adam Kirk - Cartwheel: Andrew Carr 🤸 - Torus: Dillon Pierson, CPA - Recursion: Berton Earnshaw - Music AI: Hugo Rodrigues - Reputation: Carter Rees, PhD & Carlos Kemeny, PhDx2 - Hirevue: Lindsey Zuloaga - Enhanced Ai: Brad Moss - Lucidity Sciences: Alexandra Pasi, PhD and Brian Pasi - Helios: José Rojas - Latitude: Kolby Nottingham and Reece Meakings - Filevine: Ryan Anderson and Cain Elliott - Mindsmith: Ethan Webb and Zachary Allen Each company named earned its place through innovative work, a strong vision, or a culture that’s inspiring the next generation of AI talent in Utah. What this conversation confirmed is something many of us already feel: Utah’s AI ecosystem is exploding. From foundational models to enterprise automation, from AI in retail to breakthroughs in healthcare and biotech—there’s no shortage of exciting momentum right here at home. The room was filled with mutual admiration and a spirit of collaboration, not competition. And that’s what makes Utah so unique—we’re building the future together.