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23:54EN
No Priors: AI, Machine Learning, Tech, & StartupsPódcast · 2 vocesBeyond GPT-7: The Customization Toolkit, Meta's Open Source Bet and the Return of Consumer AIPresenta: Sarah Guo, Elad GilIn a host-only episode, the No Priors hosts map the six levers for 10x to 100x better AI, explain fine-tuning, RAG and AI feedback, and ask why consumer social is suddenly interesting again.
1:03:25EN
Lex FridmanPódcastTheano in an Hour: Symbolic Graphs, Automatic Gradients and a Compiler That Rewrites Your MathPresenta: Lex FridmanPascal Lamblin of MILA walks through how Theano builds, differentiates, optimizes and runs computation graphs, then trains logistic regression, a convnet and an LSTM.
50:23EN
Unsupervised Learning: With Jacob EffronPódcastOpenAI’s Platform Bet: Where AI Value Accrues, Why Open Source Trails, and When Superintelligence ArrivesPresenta: Jacob EffronPeter Welinder explains OpenAI’s platform strategy, the case for proprietary frontier models over open source, the enterprise hallucination problem, and his speculative timeline for AGI and superintelligence.
1:34:27EN
Lenny's PodcastPódcast · 2 vocesMatt Mullenweg on Open Source Ideals, the WP Engine Fight and Why Llama Isn't Really OpenInvitado: Matt Mullenweg · Presenta: Lenny RachitskyThe WordPress co-creator and Automattic CEO gives his side of the WP Engine dispute, explains his open source philosophy, and talks AI, community building and acquisitions with Lenny Rachitsky.
1:02:06ENLex FridmanPódcastLearning TensorFlow Hands-On: From a Mystery Line to Handwritten DigitsPresenta: Lex FridmanGoogle Brain's Sherry Moore walks a Deep Learning School audience through how TensorFlow works and two core labs, linear regression and MNIST digit recognition.
33:31ENNo Priors: AI, Machine Learning, Tech, & StartupsPódcast · 2 vocesOpen Source Catches Up, Regulation Can Wait: Sarah Guo and Elad Gil Answer Listener QuestionsPresenta: Sarah Guo, Elad GilTwo AI investors cover open-source models, autonomous agents, whether to regulate AI, where startups can win, and why healthcare innovation is so hard.
1:47:58ENLenny's PodcastPódcast · 3 vocesBridging the Divide: How Community Notes Built a Trusted Fact-Checking System on DisagreementInvitado: Keith Coleman, Jay Baxter · Presenta: Lenny RachitskyKeith Coleman and Jay Baxter, the team behind Community Notes, explain how the algorithm works, how a tiny team built it, and why it survived four leaders at Twitter and X.
11:59ENLex FridmanPódcast · 2 vocesFrom a Side Project to TensorFlow's Core: François Chollet on How Keras Came to BeInvitado: François Chollet · Presenta: Lex FridmanThe creator of Keras recalls why he built it in 2015 around recurrent networks, how it moved onto TensorFlow, and what TensorFlow 2.0 means for its design.