HeyJaredChain of Thought | AI Agents, Infrastructure & Engineering
AI is reshaping infrastructure, strategy, and entire industries. Host Conor Bronsdon talks to the engineers, founders, and researchers building breakthrough AI systems about what it actually takes to ship AI in production, where the opportunities lie, and how leaders should…
- Indexed episodes, last 90 days
- 7
- Latest publication
- Sep 9, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 16, 2026
Latest episodes
Tuning GPU Performance with AI Agents | AMD’s Anush Elangovan on ROCm 10 (opens the original)
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AMD’s Anush Elangovan explains how AI agents profile GPU workloads, tune kernels, and keep searching for better performance with Hyperloom and ROCm 10. He and Conor Bronsdon discuss easier deployment, reliable optimization, and the engineering work that comes next.
Slack Wants to Be the Context Harness for Code | CPO Jaime DeLanghe (opens the original)
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Slack Chief Product Officer Jaime DeLanghe just shipped Slack Code, which puts coding agents like Claude Code and Devin into shared channels where the whole team can watch, steer, and ship. She explains why Anthropic pushes so much of its code through Slack, how channel permissions became the agent context model, and why solo-terminal coding with an army of Claudes makes teams less creative.
11 Cameras, Dozens of Mics: The AI That Reads the Room (opens the original)
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Tormod Ree is the chief product and engineering officer at Neat, the Zoom-backed video hardware company putting 11 or more cameras and dozens of microphones into a single meeting room. He explains how Neat's edge models read a room in real time, why the orchestration harness matters more than the models, and how the company trains computer vision without ever touching customer meeting data.
Thomson 1: The New $40M Legal AI Model | Thomson Reuters Joel Hron (opens the original)
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Joel Hron, CTO of Thomson Reuters, breaks down how the 175-year-old company trained its own legal AI model, Thomson, for around $40 million by stacking proprietary content and expert judgment on open-source foundations. He explains why owning the model layer beats renting frontier intelligence, and how a rebuilt CoCounsel jumped from 25% to over 70% accuracy.
Time to Exploit is Negative: AI Broke the Patch Cycle | Dan Lorenc (opens the original)
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Dan Lorenc created Sigstore at Google and now runs Chainguard, whose Athena coalition processed more than 40,000 AI-discovered security findings in a single month. He explains why the average time to exploit has gone negative, and why patching speed, not discovery, now decides who wins.
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