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Talks, podcasts and meetups since 2020, with summaries and timestamps to help you find the part you need. 942 talks and counting.
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PodcastPlease Stop Telling Your AI to "Search Harder"Erika and Demetrios discuss how agents change the traffic patterns behind software. A person asking an agent to research something can trigger many searches, website visits, or API calls in quick succession. Financial analysis systems are one example, since an...
From AI Slop to Software FactoriesDexter Horthy and Demetrios Brinkmann discuss what happens when engineers let coding agents produce software they do not understand. Horthy argues that newer models can diagnose problems and use computers well, but still create messy abstractions that become difficult to...
Can Your AI Heat My House?Erica Hughberg and Zachary Smith discuss what happens when AI demand meets the physical world. They define alternative clouds as the growing group of infrastructure services outside the hyperscalers, then move through the constraints behind AI expansion. GPU systems need...
The model works when you run the notebook.
Two models use a feature with the same name, but different calculations.
The endpoint is healthy, yet recommendations are empty or one customer group receives worse predictions.
You built the platform, but data scientists still run their own scripts and ask colleagues how to deploy.
Cost becomes a much more common topic in the archive in 2023.
What can an agent do on its own, and which tools should it get? Once it starts acting, someone needs a way to find out when it goes wrong.
People label the training data and review LLM output.
When is a fine-tuned open model a better fit than a hosted API?
138K views2System Design for Recommendations and Search
95K views3Does AgenticRAG Really Work?
39K views4Exploring the Latency/Throughput & Cost Space for LLM Inference
29K views5Stop Shipping on Vibes: How to Build Real Evals for Coding Agents
26K views
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