Growing AI Projects: Science + Engineering | Maciej Rzasa & Aji Ghose | LLMday Warsaw 2026 Q1

Описание: LLMday Warsaw 2026 Q1 - February 12
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Chapters
00:00 Why 90% of AI Projects Fail: Our Embarrassing Wake‑Up Call
01:44 Pre‑LLM Chattermill: The ‘Garden Wall’ Between Data Science & Engineering
04:18 Cracks in the Relay Race: Slow Feedback, Clunky Contracts, Useless Demos
06:02 The LLM Cambrian Explosion: Speed, Uncertainty, and Broken Old Assumptions
08:50 The Hidden Chasm: Different Definitions of ‘Done’ + Hype‑Driven Expectations
12:12 Complex Systems Bite Back: When Production Interactions Change Everything
14:27 Disaster Stories: Retries, Timeouts, and the $200 Single Click
17:48 From Cracks to a Void: Observability, Debugging, Ownership, and Cost Questions
18:33 The Turnaround: Switching from Relay Team to Rugby Team Collaboration
20:50 The New Operating Model: Shared Ownership, Bilingualism, and Shipping Feedback Loops
23:33 Wrap‑Up & Q&A