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AI changes *Nothing* — Dax Raad, OpenCode
AI Engineer session on AI changes *Nothing*, presented by Dax Raad, OpenCode. It adds practical context for how teams are building and operating AI systems in production.
Browse entries 1033–1056 of 1597. Return to the first page to search and filter the complete collection.
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AI Engineer session on AI changes *Nothing*, presented by Dax Raad, OpenCode. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Latent Space Paper Club: AIEWF Special Edition (Test of Time, DeepSeek R1/V3), presented by VIbhu Sapra. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on The Unofficial Guide to Apple’s Private Cloud Compute - Jmo, CONFSEC. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Vibes won't cut it, presented by Chris Kelly, Augment Code. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on How to defend your sites from AI bots, presented by David Mytton, Arcjet. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Make your LLM app a Domain Expert: How to Build an Expert System, presented by Christopher Lovejoy, Anterior. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on The AI Engineer’s Guide to Raising VC, presented by Dani Grant (Jam), Chelcie Taylor (Notable). It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Mentoring the Machine, presented by Eric Hou, Augment Code. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on How to Improve your Vibe Coding, presented by Ian Butler. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on How to look at your data, presented by Jeff Huber (Chroma) + Jason Liu (567). It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Serving Voice AI at $1/hr: Open-source, LoRAs, Latency, Load Balancing - Neil Dwyer, Gabber. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Evaluating AI Search: A Practical Framework for Augmented AI Systems, presented by Quotient AI + Tavily. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Beyond the Prototype: Using AI to Write High-Quality Code - Josh Albrecht, Imbue. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Revenue Engineering: How to Price (and Reprice) Your AI Product, presented by Kshitij Grover, Orb. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on The New Code, presented by Sean Grove, OpenAI. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Your Personal Open-Source Humanoid Robot for $8,999, presented by JX Mo, K-Scale Labs. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Stop Using RAG as Memory, presented by Daniel Chalef, Zep. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on AI powered entomology: Lessons from millions of AI code reviews, presented by Tomas Reimers, Graphite. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on How to Hire AI Engineers when EVERYONE is cheating with AI, presented by Beth Glenfield, DevDay. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on How to run Evals at Scale: Thinking beyond Accuracy or Similarity, presented by Muktesh Mishra, Adobe. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on A Taxonomy for Next-gen Reasoning, presented by Nathan Lambert, Allen Institute (AI2) & Interconnects.ai. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Does AI Actually Boost Developer Productivity? (100k Devs Study) - Yegor Denisov-Blanch, Stanford. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Beyond Conversation: Why Documents Transform Natural Language into Code - Filip Kozera. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Arrakis: How To Build An AI Sandbox From Scratch - Abhishek Bhardwaj, OpenAI. It adds practical context for how teams are building and operating AI systems in production.