
John Lam
@john_lam
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Product @Microsoft, making AI with Python more awesome across the company, including Excel! Model manager.
Redmond, WA
Joined March 2008
Python in Excel is now generally available!. On August 19, 2019 I met @keyurp32 and Shaofeng Zhu from the Excel team for the first time. They showed me a hackathon project that they worked on to integrate Jupyter notebooks into the Excel task pane. Fast forward 5 years and what
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I love the @AnthropicAI share feature. But I use Claude Code all the time and I really want to share transcripts of what I've learned from coding / writing sessions. So I had my minions write a tool that shares your Claude Code session logs as @github gists:. $ uv tool install
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These are my detailed notes: I was seriously thinking about a Framework 14 but the price performance and known quality of this machine swayed me in the end. Share with us what I'm missing in my setup!.
notes.iunknown.com
Dialing‑In My Developer MacBook Pro (2025 Edition) A diary‑style walkthrough of every tweak, install, and automation that transformed a refurbished laptop into my perfect daily driver. Hardware at a …
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@paulgauthier It's getting worse. This is a bread and butter coding with LLM prompt. Claude did a great job here as my backup AI.
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My recent usage pattern for o1 pro is to use it as an architect / spec writing model and to use sonnet as the coding model, which is what @paulgauthier does with Aider. This morning I had o1 pro refuse to give me the answer to my prompt 4 times in a row. This is the prompt and
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Here's the launch announcement from the team with details on how to get started with the experience: There's a lot more work to be done here, and although I haven't been involved in the day to day of this project for over a year now, I continue to cheer.
techcommunity.microsoft.com
Python in Excel is now generally available for Windows users of Microsoft 365 Business and Enterprise. Last August, in partnership with Anaconda, we...
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Dear @cursor_ai : please make sure you never ever lose the prompt that I'm typing. I just lost 15 minutes of work typing in a prompt because of some bug. @AnthropicAI does a great job in their UI of never losing what I've typed in, regardless of what stupid thing I happen to do.
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This episode is exceeding expectations. It took me nearly 1 hour to listen to the first 5 minutes. It's that good. Make sure you go and READ THE TRANSCRIPT. There are links to all sorts of rabbit holes in it. I am so thankful that this exists in my world. 🙏.
Had so much fun chatting with my friends @TrentonBricken and @_sholtodouglas. No way to summarize it, except:. This is the best context dump out there on how LLMs are trained, what capabilities they're likely to soon have, and what exactly is going on inside them. You would be
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I don’t think I’ve looked forward to a podcast as much as this one.
.@TrentonBricken explains how we know LLMs are actually generalizing - aka they're not just stochastic parrots:. - Training models on code makes them better at reasoning in language. - Models fine tuned on math problems become better at entity detection. - We can just
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The reading list to prepare for your upcoming @openai interviews. Seriously, this is like a syllabus for a graduate level course in how LLMs are built on the shoulders of giants. It's a love letter to all the incredible engineering that brought us to this moment today.
Super long 🧵 incoming. I really enjoy looking at the full stack of computing - maximizing intelligence per picojoule. Been wanting to do a far-too-in-depth overview of the ENTIRE thing - from manufacturing a GPU to training a GPT :D. Here we go!
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