Episodes (Page 12)
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Deno uses AI agents with broad production access for incident response.
Ryan Dahl
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Sending more tokens can be cheaper and more effective than compaction.
Louis-Francois Bouchard
Omar Solano
Samridhi Vaid
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AI agents struggle with real-world complexities beyond simple games.
Gaurav Mishra
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Small, screen-agnostic scripts can match frontier model performance.
Pierluca D'Oro
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Web agents will drive action, but not necessarily via APIs.
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Context-as-a-Service (CaaS) can be more expensive than building your own.
Omer Primor
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Web infrastructure must handle real-world demands, not just tests.
Patricija Zemaityte
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Browser agents are limited by engineering, not AI models.
Paul Klein IV
The Dark Arts of Web Automation: Teaching Agents to Use Websites Like Humans — Corey Gallon, Rexmore
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Agents can bypass human-like security measures like CAPTCHAs.
Corey Gallon
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Start LLM knowledge bases with voice dictation for raw material.
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Training frontier models at scale is a rare, apprenticeship-based skill.
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Current agent evaluation methods are outdated for complex tasks.
Ben Hylak
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Continual learning can improve agent efficiency without sacrificing accuracy.
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Models trained on public data collapse when generating private data.
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Agent improvement is a data mining problem using traces.
Vivek Trivedy
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LLM memory systems can create inaccurate profiles from conversations.
Shlok Khemani
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Intelligence is reasoning on new problems; expertise is applying knowledge.