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Building LLM-native products before the ChatGPT API

…supporting them. Community support connected Kilpatrick’s engineering and advocacy work. After roughly two and a half years teaching Django through Harvard’s Division of Continuing Education, he joined the Django Events Foundation North…

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Building the Silicon Brain: Dropbox’s Next Act

…for AI products. A compelling demonstration does not remove the engineering challenges or societal processes between a prototype and broad deployment. Houston borrows autonomy levels informally: GitHub Copilot’s tab completion is a small…

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Cursor’s Third Era: From Writing Code to Operating Agents

…agent. With team follow-ups enabled, colleagues can contribute context to an agent someone else started. One workflow asks the agent to investigate an issue, consult code blame, and tag people who may understand the relevant code. The…

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Designing Inference Around Agents — Part 2 of 3

…(MLA), an attention technique discussed later for reducing context-memory demands. The attention tradeoff has a limit. In the speaker’s illustration, going from 64 heads to 32 halves attention work, but quadratic scaling with context length…

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DevDay 2025: From Tool Calls to Production Agents

…while conversation with it retains the surrounding ChatGPT context. That gives developers a way to shape interaction beyond supplying a callable tool. Christina’s onstage demonstration built a live chat app for the DevDay website. She…

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Dolly: cheap instruction tuning, harder questions

…suitable examples and producing them at scale becomes central engineering work. One proposed augmentation keeps each answer fixed while paraphrasing its prompt, giving the model several formulations of the same request.…

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Dust: Building Workplace Agents from Tasks That Already Work

…Salesforce’s query language, SOQL, then ingest the results as context. Use APIs where the customer’s systems provide them was the founder’s preference. Most internal integrations used those programmatic interfaces; browser automation served…

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Elicit: Making AI Research a Process You Can Inspect

…summarization made speed, cost, and faithfulness immediate engineering concerns. Elicit generated summaries on demand, relative to each query; a few searches could require hundreds. The desired behavior was precise: report what the abstract…

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FlashAttention 2: faster attention starts with moving less data

…rather than a general conversion between speedup and affordable context length. Two classical systems techniques provide the starting point. Kernel fusion combines operations so data can be loaded once, processed through several steps and…

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From API Stability to o1’s Reasoning Budget — Part 2 of 3

…still help. Clearly specifying what to build remains engineering work. The interviewee expects that skill to retain its value as models improve: developers still have to determine requirements and explain the intended result, even when…

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From Borrowed GPUs to Lexica: Making AI Capabilities Useful

…those addresses with readable page content could give the model context and precise control. One participant argues that reasoning is already sufficient and that representation and control are the main remaining engineering problems.…

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From Browsers to Agents: Unlocking the Computer’s Existing Capabilities

…smooth progress: apparent walls and plateaus may give way to engineering advances, with several areas of improvement contributing at once. For builders, the answer distinguishes two kinds of work: - Compensating for model limitations: some …

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