Programming & Software
Software engineering — languages, frameworks, developer tools, and building great software.
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Videos About Programming & Software
Beating GPT-4 with Open Source Models - with Michael Royzen of Phind
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The End of Finetuning — with Jeremy Howard of Fast.ai
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RAG is a hack - with Jerry Liu of LlamaIndex
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AI Dev 26 x SF | Eda Zhou & Mahdi Ghodsi: Building Personal AI Agents with Open Source Models
DeepLearningAI
Building Voice Agents with Vapi & AssemblyAI
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DHH: Future of Programming, AI, Agentic Engineering, Vibe Coding & Linux | Lex Fridman Podcast #501
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Workshop: Building and optimizing dictation features
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Joomla!
GoogleTalksArchive
RWKV: Reinventing RNNs for the Transformer Era
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Young Steve Jobs (1983) | Predicting the Internet, AI and iPhone💡 #tech #apple #news #interview
BarrancoStudio
How to Make Claude Code Your AI Engineering Team
Y Combinator
Stanford CS230 | Autumn 2025 | Lecture 8: Agents, Prompts, and RAG
Stanford Online
Ep 18: Petaflops to the People — with George Hotz of tinycorp
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The 100,000 Sandbox Problem — Akshat Bubna, Modal CTO
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Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 13: Data (Sources, Datasets)
Stanford Online
Stanford CS25: Transformers United V6 I Serving Transformers: Lessons from the Trenches
Stanford Online
Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 6 - Model Training
Stanford Online
Multi-GPU Kernels, Intelligence per Watt, Heterogeneous Inference, and More | YC Paper Club
Y Combinator
DeepLearning.AI NLP Learner Community ft.Rishit Dholakia
DeepLearningAI
Voice AI: Beyond Transcription with Granola, CoLoop & EdgeTier
AssemblyAI
TCP b : Additive Increase Multiplicative Decrease & 'Slow Start' - Computerphile
Computerphile
Blake Scholl: The Problem With Becoming an Expert
Y Combinator
Tokenmaxxing: How Top Builders Use AI To Do The Work Of 400 Engineers
Y Combinator
The Inference Frontier: 10x Faster Models to Self-Optimizing AI — Philip Kiely & Ali Taha, Baseten
Latent Space