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AI Engineer · Technology

AI Engineer

We turn high signal in-person events for the top AI engineers, founders, leaders, and researchers in the world into the best free learning opportunities for millions around the world here on YouTube. Your subscribes, likes, comments, speaking, attendance, or sponsorships goes a long way toward making our biz model sustainable indefinitely. We strongly believe this industry deserves a better class of community and that we know how to do this well; we just need your support.

Episodes

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Coding Agents Don't Scale Themselves. Neither Do Your Teams. — Patrick Debois, Tessl

20 Aug 2026AI processed

Organizational success in the era of autonomous AI agents requires shifting from individual developer workflows to shared, system-level strategies. Rather than focusing on solo prompt engineering, teams should prioritize building robust harnesses, reusable context, and modular tooling that minimize human intervention. ...

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Why Your Enterprise Tech Stack Isn’t Ready for AI Agents — Christopher Lovejoy & Saul Howard

19 Aug 2026AI processed

Enterprise-ready AI agents require robust architectural foundations that prioritize compliance and security from the outset, rather than treating these as secondary additions to a proof-of-concept. Building in regulated sectors like healthcare necessitates an immutable ledger of actions to ensure complete auditability ...

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Don’t be data poor — Anuj Iravane, Anterior

19 Aug 2026AI processed

Synthetic data generation offers a viable solution for healthcare AI development when real-world medical records are restricted by strict PHI privacy regulations. By reversing the standard inference workflow—sampling labels and reasoning traces before generating data—teams can create diverse, high-fidelity synthetic da...

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How to build an AI-Native Health Company — Dan Feng, Maven Clinic

19 Aug 2026AI processed

Transitioning to an AI-Native organization requires a holistic shift in culture, processes, and infrastructure rather than a single playbook. Maven Clinic’s approach centers on three pillars: adopting AI tools internally to boost productivity, integrating AI into external products to enhance user experience and reduce ...

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Trading Desks to Clinical Trials: Parallels in Applied Vertical AI — Ayush Bhardwaj, Allos AI

19 Aug 2026AI processed

Building and iterating in applied vertical AI requires a disciplined approach that prioritizes domain-specific problem solving over general-purpose model capabilities. Success hinges on identifying narrow, high-value tasks—such as drug discovery or financial trade analysis—and leveraging proprietary data that remains i...

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Healthcare’s Agent Bytecode: X12 as the Harness for AI Agents — Vasant Kearney, Onlay

19 Aug 2026AI processed

Implementing agentic AI in healthcare insurance workflows requires balancing advanced automation with rigorous, grounded system design. The primary objective is to reduce operational costs and enhance patient experiences by deploying an execution layer capable of handling complex tasks like database queries, EHR intera...

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200 Million Patient Interactions Later — Vivek Muppalla, Hippocratic AI

19 Aug 2026AI processed

Healthcare systems historically rely on scarcity and triage, but AI enables a shift toward abundance by allowing clinicians to reach every patient. Hippocratic addresses this through the "Polaris" architecture, which utilizes 31 specialized models running in parallel to ensure clinical safety and low latency. By integr...

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AI is the World’s largest Relationship Therapist — Clay Cockrell & Tony Fabrikant, CoupleWork AI

19 Aug 2026AI processed

AI is rapidly becoming the world's most accessible relationship therapist, yet current large language models often fail to provide effective guidance due to their tendency toward sycophancy. By prioritizing engagement over clinical outcomes, these tools frequently validate users' biases, potentially escalating conflict...

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Shipping AI to a Million Patients Without an A/B Test — Jared Joselowitz, Ufonia

19 Aug 2026
19m
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Guardrails First: Engineering Member-Facing Health AI — Rashi Agrawal, Hinge Health

19 Aug 2026
21m
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From Ambient Documentation to Clinical Intelligence — Chaitanya Asawa, Abridge

19 Aug 2026
21m
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The Next Medium: Why Real-Time Interactive Video Changes Everything — Ahmed Ahres, Reactor

18 Aug 2026
17m
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Infra behind Krea 2: How to train and serve at scale — Gabriel Jorge Menezes, Krea.ai

18 Aug 2026
16m
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Generative Video at the Speed of Light — Keegan McCallum, uRun

18 Aug 2026
8m
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Voice agents with Realtime Video — Sidney Primas, LemonSlice

18 Aug 2026AI processed

Lemon Slice aims to pass the avatar Turing test by developing photorealistic, real-time AI avatars indistinguishable from humans. The company utilizes human-centric world models to capture complex behaviors, including micro-expressions, object interactions, and emotional responses. To achieve real-time performance, the...

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While my guitar gently speaks — Todd Fisher, Philo Ventures

18 Aug 2026AI processed

Todd Fisher explores the intersection of music and technology by demonstrating how to make a guitar "speak" and "sing" through AI-driven software. The project builds upon the history of guitar effects—from traditional pedals to the TalkBox—by integrating modern tools like text-to-speech, pitch detection, and local lang...

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The Next Game Engine Won't Have a Manual — Arturo Nunez, Nereu

18 Aug 2026AI processed

Nereu is a game engine designed to democratize game development by replacing complex coding and manual asset management with natural language interaction. By leveraging an AI assistant named Vivi, users describe game mechanics—such as character movement, environmental effects, or camera behavior—using intuitive, everyd...

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Building an Agentic Video Editor for Mass Consumer — Ekaterina Deyneka, Reelful

18 Aug 2026AI processed

Agentic video editing automates the tedious, manual process of content creation by leveraging AI agents to handle media understanding, planning, and assembly. By inputting raw footage and a prompt, users receive polished, ready-to-share clips without needing traditional editing skills. The infrastructure relies on a sa...

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Training Krea 2: What matters in generative model training — Sangwu Lee, Krea.ai

18 Aug 2026AI processed

Training high-performance image foundation models like Krea 2 requires prioritizing data curation over architecture, as data quality remains the primary determinant of model output. Unlike production-grade models that often suffer from mode collapse to ensure reliability, Krea 2 focuses on stylistic diversity and faste...

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How to Kill the Code Review — Ankit Jain, Aviator

17 Aug 2026AI processed

Traditional line-by-line code reviews are failing to keep pace with the 861% increase in code churn, necessitating a shift toward intent-based verification. Effective software development requires balancing semantic accuracy with team alignment, the latter of which remains essential for knowledge sharing and mentorship...

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