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1:11:06EN
Unsupervised Learning: With Jacob EffronPódcastReplit's Amjad Masad on Building Your Own Model, Latency, and the Next Billion Software CreatorsPresenta: Jacob EffronThe Replit founder explains why AI should be native to the product, why he trained a small in-house model, and why he thinks software engineering is about to split in two.
40:00ENUnsupervised Learning: With Jacob EffronPódcastThe Winds of Change: How Mistral Plans to Win the Open-Model EraPresenta: Jacob EffronArthur Mensch explains Mistral's open-source strategy, enterprise distribution, model research, and views on AI regulation and sovereignty.
1:12:15ENUnsupervised Learning: With Jacob EffronPódcastThe Open-Model Vibe Check: China, Containment, and the Data MoatPresenta: Jacob EffronJacob Effron and guests debate Chinese open-weight models, distillation, containment policy, the OpenAI–Hugging Face incident, and Cursor's data advantage.
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.
50:23ENUnsupervised 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.
33:31EN
No 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.