Garrett
Showing 1–3 of 3 transcripts.
- All-In Podcast56 min
Mass Surveillance, Police Misuse, and Who Controls Your Flock Cameras with Flock CEO, Garret Langley
Garret Langley, Garrett, Chamath, Jason, Friedberg
Operating in 6,000 U.S. cities, Flock has resolved over one million crimes and located 10,000 missing persons by capturing static license plate data while explicitly rejecting facial recognition technology. CEO Garrett Langley enforces mandatory audit tools to detect user abuse, resulting in officer terminations, and deploys drone units to verify threats before police dispatch while delaying AI implementation to prevent hallucination risks. Despite facing community backlash driven by misinformation, the company reports a 1% churn rate and maintains that its strict data retention defaults and transparency portals effectively balance public safety with privacy protections.
Chime IPO: Are IPOs Hotter Than Ever?
Rory O'Driscoll, Jason Lemkin, Harry Stebbings, Garrett
Meta paid $14.8 billion to acquire 49% non-voting control of Scale AI while returning nearly the full amount to existing investors via a special dividend, effectively allowing CEO Alex Wang to move to Meta and shifting the competitive landscape for rivals like OpenAI and Anthropic. The transaction, viewed primarily as a strategic talent acquisition and market signal, leaves Scale AI with diminished assets while triggering immediate demand surges as competitors seek alternative data providers. Concurrently, the deal highlights broader trends in the AI sector, including OpenAI's new Pentagon contract and rising forecasts for Chinese model dominance, all occurring amidst a resurgent IPO market featuring successful listings like Chime and imminent filings from Databricks.
- Milken Institute1h 4m
Big Data for Better Cures: Where to Invest?
Cecilia Arradaza, Marty Cohn, Joel Dudley, Magali Haas, Risa Sack, Andy von Eschenbach, Harlan Weissman, Garrett, Mary Dwight
Leading healthcare experts including Marty Cohn, Joel Dudley, and Andy von Eschenbach converged to identify that while big data offers potential to reduce waste and personalize care, its adoption is currently stifled by incentive misalignment, fragmented data silos, and a regulatory framework built on pre-market rather than post-market surveillance. The panel consensus highlighted that shifting from fee-for-service to value-based care and establishing a "model of the normal" human are critical prerequisites for unlocking predictive analytics in chronic disease and neurology. To advance these goals, the speakers urged the creation of broad consent models, common data standards for cross-organizational sharing, and new reimbursement structures that specifically reward data utility over collection.