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

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

LLMday Warsaw 2026 Q1 - February 12 Grab your ticket for the next LLMday: https://www.llmday.com Upcoming LLMday CFPs: https://cfp.ninja/?q=llmday&status=op... 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