Скачать или смотреть Mark Chen: GPT-5, Open-Source, Agents, Future of OpenAI, and more!

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Chapters:
0:00 - Intro
0:50 - Buildup to GPT-5
1:56 - Research vs. Product
2:53 - Lessons from GPT-4
4:39 - Can Synthetic Data Scale?
8:03 - Early Bets on GPT-5 Architecture
8:50 - Pre vs. Post Training
9:40 - When is a model "ready"?
10:43 - Mark Chen's "Vibe Check"
13:03 - Creative Writing
13:58 - AI for Life Advice
14:45 - China's Open Source Models
17:09 - Emergent Capabilities in GPT-5
19:18 - Omni Model vs. Specialized Models?
20:35 - Agents and Scaffolding
23:05 - Future of AI Memory
24:02 - Multi-modality in GPT-5
25:11 - Creating Codex, future of AI Coding
26:55 - Coding is the path to AGI
27:51 - Verifiers and RL
28:46 - What is Mark excited about with GPT-5?
29:51 - IMO to Real Usage
31:17 - GPT-OSS
34:06 - Benchmark Saturation
36:44 - Future of Work / Coding
38:51 - Future Roadmap (6 months & 24 months)