26:22
Engineers… STOP Picking GPT-5.6 Sol OR Claude Fable 5… FUSE THEM
IndyDevDan demonstrates "model fusion" — a multi-agent orchestration pattern that runs two AI models in parallel on the same task, th...
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03:41
Moonshot AI Makes Waves Despite China’s Chip Constraints
Bloomberg Tech analyst Anthony provides a rapid technical and market assessment of Moonshot AI's Kimi K3 — the largest open-weights m...
12:31
AI Pioneer Lee on Moonshot’s Launch of Kimi K3
Bloomberg Tech sits down with AI pioneer Kai-Fu Lee to get his first-hand reaction to Moonshot AI's launch of Kimi K3, the latest fro...
11:27
I Made 12 Cinematic AI Vlogs in 1 Day: Here is the Secret Workflow
Veteran AI walks through a structured workflow for generating cinematic AI vlogs at scale, producing 12 high-quality vertical clips i...
16:41
Can Oncology Workflows Run Without Human Touch? – Anant Shankhdhar, Risa Labs
At the AI Engineer conference, Anant Shankhdhar from Risa Labs (operating as Trisca) presents how the company built a four-agent pipe...
27:33
When Agents Meet Physical Data: The Other Physics of Agent Harnesses – Dmitry Petrov, DataChain
Dmitry Petrov, creator of Data Version Control (DVC) and founder of DataChain, addresses a category of agentic AI failures that most...
26:27
Build the AI GTM Agent That Knows the Buyer – Dr. Sajjan Kanukolanu, Position2 (Position Squared)
Dr. Sajjan Kanukolanu, VP of Global Operations and Strategy at Position2, presents an AI-native GTM (go-to-market) architecture built...
10:23
Agents Need Receipts, Not More Tool Calls – Armanas Povilionis, Alithea Bio
Armanas Povilionis from Alithea Bio makes the case that autonomous scientific research agents won't scale by adding more tools — they...
14:13
Agent Output Is Not UX: Rendering Layer Your LLM Pipeline Is Missing – Bala Ramdoss, Amazon Lens
Bala Ramdoss, a decade-long builder of customer-facing apps at Amazon Lens, argues that most agentic AI products fail not because of...
32:57
Voice Agents That Handle Interrupts – Chintan Agrawal and Daniel Wirjo, AWS
AWS solutions architects Chintan Agrawal and Daniel Wirjo tackle one of the least-discussed engineering challenges in voice AI: turn-...
26:40
Skills are the New SDKs – Elvin Aghammadzada, DataRobot
Elvin Aghammadzada from DataRobot challenges a common assumption in agentic AI development: that larger context windows solve the too...
12:08
Enterprise Agents Have a Structure Problem – Ishita Daga, Tesla
Ishita Daga, a machine learning engineer at Tesla building enterprise agents, argues that when a data agent gives a wrong answer, the...
05:45
Your Voice Agent Doesn’t Need a Frontier Model – Joel Allou & Ornella Bahidika, Microsoft
Microsoft engineers Ornella Bahidika and Joel Allou present the architecture behind Ace, a live AI voice tutor they built to run reli...
06:08
Don’t Let the LLM Drive – Ornella Bahidika & Joel Allou, Microsoft
Microsoft engineers Ornella Bahidika and Joel Allou make the case that agent reliability is a control-flow problem, not a prompting p...
22:21
Google CEO Reveals How AGI Will Rollout
Demis Hassabis, CEO of Google DeepMind, published an article outlining a framework for AGI development and responsible deployment, an...
14:45
Kimi K3 vs Qwen3.8: China’s Newest Models Go Head to Head
Fahd Mirza puts two of China's newest models — Kimi K3 from Moonshot AI and Qwen 3.8 from Alibaba — through a live head-to-head compa...