05:42
How auto mode works with Claude Code
Anthropic's official Claude channel breaks down exactly how Auto Mode works inside Claude Code, addressing the core question of what...
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06:31
NVIDIA’s AI Learns Why Copying Humans Isn’t Enough
Two Minute Papers host Dr. Károly Zsolnai-Fehér covers a new research paper on AI-driven parkour locomotion, examining how combining...
21:15
Rethinking Environments for Long-Horizon Work — Rayan Garg, Theta Software
The co-founders of Theta Software — one previously a founding engineer at Deep Silken working on ternary models — present a framework...
27:17
Teaching AI to Find Real Vulnerabilities — David Brumley, Bugcrowd
David Brumley — full professor at Carnegie Mellon University and Chief AI and Science Officer at Bugcrowd — presents a framework for...
17:42
Verifiable Environments for AI in Biology — Kenny Workman, LatchBio
Kenny Workman, co-founder and CTO of LatchBio, presents the company's work building verifiable environments and benchmarks for AI age...
17:45
The Base Model Is Dead — Varun Singh, Arcee AI
Varun Singh, pre-training lead at Arcee AI, argues that the traditional base model — defined by massive web-text ingestion as in GPT-...
16:33
Emulated: The Data for Fully Autonomous Software Engineers and Companies — Joseph Wang
Joseph Wang and co-founder Sid of Emulated present their approach to one of the hardest open problems in AI engineering: training age...
16:30
Ending AI Slop — Thais Castello Branco, Taste Labs
Thais Castello Branco, founder of Taste Labs, delivers a conference talk on the company's mission to eliminate "AI slop" — the pervas...
19:05
Data Quality Is the Compute Multiplier — Ari Morcos, DatologyAI
Ari Morcos, CEO and co-founder of DatologyAI, opens the data quality track at AI Engineer with a data-rich argument that better train...
18:20
Learning on the Job: The Future of Post-Training — Raymond Feng, Applied Compute
Raymond Feng of Applied Compute presents a framework for the next generation of post-training at AI Engineer, arguing that the field...
19:12
Data and Environment Curation for Post-Training LLMs — Mahesh Sathiamoorthy, Bespoke Labs
Mahesh Sathiamoorthy, co-founder and CEO of Bespoke Labs and formerly a researcher at Google DeepMind, presents the company's open-so...
21:09
Persona Engineering: A Field Guide to AI Synthetic Personas — Ishan Anand, InsightSciences.ai
Ishan Anand, Chief AI Officer at InsightSciences.ai, delivers a structured field guide to synthetic personas at the AI Engineer confe...
21:39
Serving 2 Million Models Without Melting: Scaling the Hugging Face Hub — Arek Borucki, Hugging Face
Arek Borucki, a machine learning platform and database engineer at Hugging Face, takes the AI Engineer conference stage to walk throu...
06:40
AMD Releases First Ever AI model: Instella-MoE-16B-A3B-Think
AMD has released Instella-MoE-16B-A3B-Think, its first-ever mixture-of-experts language model, trained entirely on AMD Instinct MI300...
24:01
US AI Dominance Is Over: Here’s Why
Nate B. Jones delivers a structured breakdown of the Chinese AI model landscape, arguing that the real problem is not whether US AI d...
17:31
The Messy Reality of Scale: Synthetic Data and Pre-Training — Marah Abdin & Robert McHardy, poolside
Marah Abdin and Robert McHardy from poolside share detailed lessons from scaling their foundation model lineup at the AI Engineer con...