Nicolay Gerold
@nicolaygerold.com
Daytime: building ai systems & platforms @ Aisbach Nighttime: hacking on generative ai Host of How AI Is Built
Not sure whether Codex or Devin are saving me time. The workflow is off. They are made to push to the remote, which completely breaks the workflow (working directory -> staging -> remote). So you push or make a pr, pull it down, check whether it's working or ...
Garmin (yesterday) : you did a hard workout, minimum recovery 48 hours Garmin (today) : time to run 24 minutes at 5k threshold pace
OpenCode is really stepping it up. I love the sidebar stuff. Really plays well with nvim.
i dream of a world with a single consistent markdown format
@transistor.fm When I put and episode in "Draft" and then schedule it a few days out, the start date in the analytics should still be the day I post the episode not the day I created the draft
@howaiisbuilt.fm is back. most AI conversations obsess over capabilities. This one focuses on constraints - the right ones that make AI actually useful rather than just impressive demos. open.spotify.com/episode/1MbZ...
Thanks to @nicolay.fyi for giving me the opportunity to talk about @trustgraph.bsky.social on How AI Is Built! Labels such as "facts", "observations", and "assertions" take on new meanings when we begin to consider time. Click 👇 to watch the full episode! 🎙️ youtu.be/VpFVAE3L1nk?
Temporal RAG: Embracing Time for Smarter, Reliable Knowledge Graphs
YouTube video by How AI Is Built
youtu.be
Does anyone have a clue about what data structure is used for Google Docs? Suggestions, comments, collaborative editing,...?
EU mobilizes 200 billion Euros for AI. Unless we have a massive political change that money will just go to waste. For innovation to happen, we don't need money first, but deregulation. We cannot work on breakthrough technologies, when we are at constant fear of being sued.
RAG is dead. Long live RAG. LLMs suck at long context. This paper shows what I have seen in most deployments. With longer contexts, performance degrades.
foqos.app "Physically block distracting apps" Grab a NFC tag, lock your app, throw NFC tag off balcony, start coding.
Foqos - Focus with NFC
foqos.app
I am dreaming up an Excel backend. Excel as the frontend, Iceberg as the backend. But how do you handle formulas, pivot tables, ...? How do you malformatted sheets? You probably have to put restrictions on what you can do with Excel so it's valid to be stored.
human clipboards is the best description I have heard for people who just copy and paste code and errors from and to ChatGPT
The more I learn about MLOps, the more it's ops first, ML second. Start with: - Build serverless apps - Write infrastructure code - Set up CI/CD - Run VMs & databases - Deploy Kubernetes ML comes after you can build things that work.
TIL: In Postgres, you can dollar quote strings with a lot of ' so you don't have to double each '. $$Dianne's horse$$ $SomeTag$Dianne's horse$SomeTag$
That's probably one of the best websites I have ever seen and one of the best experiences on the web www.stripe.press/poor-charlie...
Poor Charlie’s Almanack: The Essential Wit and Wisdom of Charles T. Munger
Experience the wit and wisdom of Charles T. Munger online, for free. Originally published in 2005, this compilation of 11 talks by the legendary Berkshire Hathaway vice-chairman has become a touchston...
stripe.press
Coming back and back again to the same question: How can I make it easy to experiment? With genAI it will be easier to generate alternatives and options. So for almost anything, I want to generate a lot of options, vote for the best one, test it in a sandbox, A/B test, deploy it... (rollback)
Really interesting paper. Machine Learning: The High-Interest Credit Card of Technical Debt static.googleusercontent.com/media/resear...
static.googleusercontent.com
What are some of the top applied ai / data engineering blogs (companies)? I would put prefect up there, temporal is great, modal as well.
Developers treat search as a blackbox. Throw everything in a vector database and hope something good comes out. Throw all ranking signals into one big ML model and hope it makes something good out of it. You don’t want to create this witch’s cauldron. New episode on @howaiisbuilt.fm
