필터 결과
15개정렬
13:21EN
Adrian Twarog· 2026년 10월 21일Adrian Twarog: Giving Enterprise Vibe Coding a Governed Path to ProductionAdrian TwarogA Superblocks walkthrough shows how shared integrations, isolated databases, policy agents and audit logs can bring business-built AI apps under IT oversight.
2:33:35EN
Cognitive Revolution "How AI Changes Everything"· 2026년 6월 1일팟캐스트A security researcher audits the AI stack that booked a week of guests진행자 Nathan LabenzNathan Labenz walks Daniel Miessler through a 1GB second brain, two named AI employees, and the blast-radius rules that should govern them.
1:43:39ENCognitive Revolution "How AI Changes Everything"· 2026년 3월 11일팟캐스트Five Mutations Could Make a 60% Fatal Bird Flu Spread Between People진행자 Nathan LabenzJohns Hopkins assistant professor Jassi Pannu argues for locking down only the sliver of functional data that teaches models how to make pandemic viruses — and keeping the rest of biology open.
2:03:56ENCognitive Revolution "How AI Changes Everything"· 2026년 2월 25일팟캐스트260 Doctors and 49,000 Criteria: How OpenAI Built Attending-Level Health AI진행자 Nathan LabenzKaran Singhal tells Nathan Labenz how ChatGPT Health was evaluated with physicians, walled off from model training, and aimed at raising both the floor and the ceiling of human health.
1:18:40ENCognitive Revolution "How AI Changes Everything"· 2026년 1월 1일팟캐스트When AI Becomes the Oil Well: Luke Drago on the Intelligence Curse진행자 Nathan LabenzThe Workshop Labs co-founder tells the FLI Podcast why a world of non-human production could recreate the resource curse — and how private data, open weights, and moonshot careers might still break it.
1:32:47ENCognitive Revolution "How AI Changes Everything"· 2025년 9월 13일팟캐스트A transformer co-author wants a $160 million model no company owns진행자 Nathan LabenzIllia Polosukhin tells Nathan Labenz how NEAR turned a payments headache into a stack for private inference, shared-revenue training, and AI agents that still answer to a court.
57:45EN
Lex Fridman· 2024년 11월 1일팟캐스트The last thing a totalitarian state can take is love — a reread of Orwell’s 1984진행자 Lex FridmanLex Fridman walks back through Oceania’s machinery of Newspeak, Doublethink, and Room 101, and argues that hate-fueled rebellion is not a way out.
1:25:10ENCognitive Revolution "How AI Changes Everything"· 2024년 6월 15일팟캐스트A Tenth of Google's Index, 99.9% Recall: How 20 People Built Brave Search진행자 Nathan LabenzJosep M. Pujol walks Cognitive Revolution through Brave's privacy-first index, hybrid retrieval stack, and the Search API Nathan Labenz now wants his own product team to use.
2:09:50ENCognitive Revolution "How AI Changes Everything"· 2024년 4월 26일팟캐스트He stayed up all night playing Civilization 6 with his mind진행자 Nathan LabenzDean W. Ball surveys EEG, ultrasound stimulation, and Neuralink with Nathan Labenz, and argues that merging with machines started decades ago.
1:44:23ENCognitive Revolution "How AI Changes Everything"· 2024년 3월 16일팟캐스트You Can Split Your Vote by Issue — and Hand It to an AI진행자 Nathan LabenzTim Reutemann’s 2018 novel Liquid Reign sketches a 2051 democracy built on Swiss citizen initiatives, liquid delegation, and personal AIs you can mute.
1:21:50ENCognitive Revolution "How AI Changes Everything"· 2023년 11월 14일팟캐스트A 16K Context Window Holds About 350 Rows. That's Why Tables Need an Agent.진행자 Nathan LabenzGretel AI founder Alex Watson tells Nathan Labenz why most company data is still a spreadsheet, why GPT-4 is the wrong tool for generating it, and how differential privacy lets a model learn a disease without learning a patient.
1:20:06ENCognitive Revolution "How AI Changes Everything"· 2023년 9월 5일팟캐스트Accuracy Dropped From 93% to 7% — Cryptography Wants to Put a Dashcam on AI진행자 Nathan LabenzDaniel Kang explains how zero-knowledge proofs could verify that a model ran as promised, and that a user is human, without exposing weights or biometrics.
1:10:11ENCognitive Revolution "How AI Changes Everything"· 2023년 5월 4일팟캐스트Trying ChatGPT is not the same as using it진행자 Nathan LabenzRachel Woods of The AI Exchange tells Nathan Labenz what she learned from more than a hundred company calls: start inside the business, skip the annual tool contract, and expect to be using only a sliver of what the models can already do.
1:13:51ENLex Fridman· 2020년 1월 19일팟캐스트Answering Questions Without Seeing the Data: Andrew Trask on the Privacy-Preserving AI Stack진행자 Lex FridmanA tour of remote execution, differential privacy, secure multiparty computation, and the societal consequences of making private data usable.
1:04:35EN
Unsupervised Learning: With Jacob Effron팟캐스트Oscar Health's AI Playbook: Translate the Bureaucracy First, Then Reinvent Care진행자 Jacob EffronMario, Oscar Health's CTO and co-founder, explains how a regulated insurer deploys LLMs today and what stands between healthcare and AI doctors.