Sign up to save your podcasts
Or
Share Phaidra’s Jim Gao on Building the Fourth Industrial Revolution with Reinforcement Learning
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
Phaidra’s Jim Gao on Building the Fourth Industrial Revolution with Reinforcement Learning
After AlphaGo beat Lee Sedol, a young mechanical engineer at Google thought of another game reinforcement learning could win: energy optimization at data centers. Jim Gao convinced his bosses at the Google data center team to let him work with the DeepMind team to try. The initial pilot resulted in a 40% energy savings and led he and his co-founders to start Phaidra to turn this technology into a product.
Jim discusses the challenges of AI readiness in industrial settings and how we have to build on top of the control systems of the 70s and 80s to achieve the promise of the Fourth Industrial Revolution. He believes this new world of self-learning systems and self-improving infrastructure is a key factor in addressing global climate change.
Hosted by: Sonya Huang and Pat Grady, Sequoia Capital
Mentioned in this episode:
Mustafa Suleyman: Co-founder of DeepMind and Inflection AI and currently CEO of Microsoft AI, known to his friends as “Moose”
Joe Kava: Google VP of data centers who Jim sent his initial email to pitching the idea that would eventually become Phaidra
Constrained optimization: the class of problem that reinforcement learning can be applied to in real world systems
Vedavyas Panneershelvam: co-founder and CTO of Phaidra; one of the original engineers on the AlphaGo project
Katie Hoffman: co-founder, President and COO of Phaidra
Demis Hassabis: CEO of DeepMind
View all episodes
By Sequoia Capital
4.2
3636 ratings
After AlphaGo beat Lee Sedol, a young mechanical engineer at Google thought of another game reinforcement learning could win: energy optimization at data centers. Jim Gao convinced his bosses at the Google data center team to let him work with the DeepMind team to try. The initial pilot resulted in a 40% energy savings and led he and his co-founders to start Phaidra to turn this technology into a product.
Jim discusses the challenges of AI readiness in industrial settings and how we have to build on top of the control systems of the 70s and 80s to achieve the promise of the Fourth Industrial Revolution. He believes this new world of self-learning systems and self-improving infrastructure is a key factor in addressing global climate change.
Hosted by: Sonya Huang and Pat Grady, Sequoia Capital
Mentioned in this episode:
Mustafa Suleyman: Co-founder of DeepMind and Inflection AI and currently CEO of Microsoft AI, known to his friends as “Moose”
Joe Kava: Google VP of data centers who Jim sent his initial email to pitching the idea that would eventually become Phaidra
Constrained optimization: the class of problem that reinforcement learning can be applied to in real world systems
Vedavyas Panneershelvam: co-founder and CTO of Phaidra; one of the original engineers on the AlphaGo project
Katie Hoffman: co-founder, President and COO of Phaidra
Demis Hassabis: CEO of DeepMind
More shows like Training Data
View all
This Week in Startups
1,283 Listeners
a16z Podcast
1,080 Listeners
The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
527 Listeners
Y Combinator Startup Podcast
221 Listeners
Practical AI
206 Listeners
Machine Learning Street Talk (MLST)
88 Listeners
Grit
189 Listeners
Dwarkesh Podcast
457 Listeners
No Priors: Artificial Intelligence | Technology | Startups
130 Listeners
Latent Space: The AI Engineer Podcast
96 Listeners
Crucible Moments
91 Listeners
BG2Pod with Brad Gerstner and Bill Gurley
482 Listeners
AI + a16z
31 Listeners
Lightcone Podcast
17 Listeners
Uncapped with Jack Altman
41 Listeners
Cheeky Pint
16 Listeners