Probably even better now that trivial edits to it are a message to Claude away versus having to write a SQL query to do equivalent of a one character/line insert/edit.
TOOLS
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Convergence towards agentic AI and value of agent-usable products
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It's interesting to observe several companies converging towards integrating agentic AI features into their products, while I find that the most important value comes from companies that make their product usable by AI agents (MCP, CLI,
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dcode: model-agnostic harness, recommended with Fireworks
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It is indeed very good! Do not try it in claude code/codex – these harnesses are too tailored for their proprietary models. dcode (deepagents code) is a model-agnostic harness – try it there with @FireworksAI_HQ: dcode –model
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macOS YouTube TV menu bar app built with AI one-shot
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I wanted a macOS Youtube TV menu bar app so I could watch the world cup game while working. Asked codex, one-shot it with /goal. We really live in the golden age of ideas.
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Deciphering Linear A with Claude Code
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Cool way to use Claude Code: deciphering Linear A, a 3500-year-old written language from Crete https://aiclambake.com/clamtakes/linear-a/
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Free live AI sessions: OCR, retrieval, evals, open models, Q&A
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I'm excited for this one. @HamelHusain
, @sh_reya
, and folks who build AI products for a living are teaming up to run a bunch of free live sessions over the next month: OCR, retrieval, evals, open models, all with live Q&A. Starts June 24. Sign up here: -
Book on LLMs for Production with Prompting, Fine-Tuning, and RAG
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See this >> "Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG" >> at http://
amzn.to/411Utz5 by Louis-François Bouchard @Whats_AI Covers:
LLM Fundamentals, Architecture, & LLMs in Practice Prompting & Frameworks -
Brain: Self-improving context graph for stateful Computer tasks
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We're rolling out Brain: a self-improving context-graph of all your sessions, connectors, and files. Brain updates itself overnight with fresh context proactively, and feeds itself to every task on Computer, allowing Computer to be stateful and self-improving. Available to all x.com/perplexity_ai/…
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Pragmatic Machine Learning with Python: Deploy ML Models in Production
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"Pragmatic Machine Learning with Python: Learn How to Deploy Machine Learning Models in Production" Get it here: http://
amzn.to/38gYRxU -
Why spend a year when AI makes things in hours?
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I really don't get it What AI do you use? Everything is literally easy now? Why are you spending a year on stuff? I make stuff in an hour or day now