59 min listen
Eradicating Machine Learning Pain Points with Weights & Biases CEO Lukas Biewald
FromNo Priors: Artificial Intelligence | Technology | Startups
Eradicating Machine Learning Pain Points with Weights & Biases CEO Lukas Biewald
FromNo Priors: Artificial Intelligence | Technology | Startups
ratings:
Length:
44 minutes
Released:
Aug 3, 2023
Format:
Podcast episode
Description
How are the best in class ML developer tools continuing to push our capabilities to new heights? Lukas Biewald, CEO of Weights & Biases, joins Sarah Guo and Elad Gil this week on No Priors. Lukas explores the impact of ML in various industries like gaming, AgTech, and fintech through his insightful perspective. He discusses open source models and their adoption, the potential hidden costs of running your own model, and the challenges of finding companies that have LLMs in production. He gives advice for aspiring AI company founders, placing emphasis on customer feedback and using insecurities for better customer discovery.
Prior to founding Weights & Biases, Lukas conquered the problem of data collection for model training as the Founder of Figure Eight, which he sold in 2019. He holds an MS in Computer Science and a BS in Mathematics from Stanford University.
Show Links:
Lukas Biewald - CEO & Co-founder - Weights & Biases | LinkedIn
Weights & Biases
Sign up for new podcasts every week. Email feedback to show@no-priors.com
Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @l2k
Show Notes:
[0:00:00] - Lucas Wald's Journey in AI
[0:08:16] - Startup Evolution and Machine Learning
[0:18:54] - Open Source Models Implications and Adoption
[0:29:54] - ML Impact in Various Industries
[0:40:27] - Advice for AI Company Founders
Prior to founding Weights & Biases, Lukas conquered the problem of data collection for model training as the Founder of Figure Eight, which he sold in 2019. He holds an MS in Computer Science and a BS in Mathematics from Stanford University.
Show Links:
Lukas Biewald - CEO & Co-founder - Weights & Biases | LinkedIn
Weights & Biases
Sign up for new podcasts every week. Email feedback to show@no-priors.com
Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @l2k
Show Notes:
[0:00:00] - Lucas Wald's Journey in AI
[0:08:16] - Startup Evolution and Machine Learning
[0:18:54] - Open Source Models Implications and Adoption
[0:29:54] - ML Impact in Various Industries
[0:40:27] - Advice for AI Company Founders
Released:
Aug 3, 2023
Format:
Podcast episode
Titles in the series (65)
The bot Cicero can collaborate, scheme and build trust with humans. What does this mean for the next frontier of AI? With Noam Brown, Research Scientist at Meta: AGI can beat top players in chess, poker, and, now, Diplomacy. In November 2022, a bot named Cicero demonstrated mastery in this game, which requires natural language negotiation and cooperation with humans. In short, Cicero can lie, scheme, build trust, pass as human, and ally with humans. So what does that mean for the future of AGI? This week’s guest is research scientist Noam Brown. He co-created Cicero on the Meta Fundamental AI Research Team, and is considered one of the smartest engineers and researchers working in AI today. Co-hosts Sarah Guo and Elad Gil talk to Noam about why all research should be high risk, high reward, the timeline until we have AGI agents negotiating with humans, why scaling isn’t the only path to breakthroughs in AI, and if the Turing Test is still relevant. by No Priors: Artificial Intelligence | Technology | Startups