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marimo
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marimo
@marimo_io
An open-source AI-native Python notebook: reactive, git-friendly, execute as scripts, share as apps 🌐 https://t.co/YMoQiRxnLW 💬 https://t.co/2bEOclmIoI
Katılım Mayıs 2022
9 Takip Edilen6.7K Takipçiler

Kimi K2.6 (hosted via @wandb's inference engine on @CoreWeave) hits 120 tokens per second. Fast enough to build the whole notebook before you've finished reading the first cell.
But is it...too fast?
Full vid out now ⬇️
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marimo retweetledi

This was fun! Meeting the marimo team + PyCon US.
marimo team is hiring too! marimo.io/careers


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If you can vibe code anything these days ... do we still need notebooks?
We're going live in 24 hours to find out with @HamelHusain to discuss.
🗓️ May 22, 2026 at 1 PM PST. Link below ⬇️

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We're big @DataPolars fans at marimo. The Polars team has been working on something new: it's early, it's fancy, and it ships with a few features that are directly relevant to marimo.
Livestream with @thijsnieuwdorp on May 22, 2026. Link below ⬇️

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We invited @isaac_flath to stress-test marimo-pair: can a reactive notebook actually give agents the same live kernel access that makes RLMs work?
Agentic coding, live bugs, and how much time people spend playing World of Warcraft. More in the full video ⬇️

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marimo retweetledi

We're doing an extra livestream this week with @HamelHusain
Small hint: it'll be about notebooks.
youtube.com/live/XaKvqdOJl…

YouTube
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Come find us at PyCon! We have a booth all weekend and would love to meet you ☺️
P.S. our very own @themylesfiles is hosting a talk later today. Join us to learn "How to port a Python kernel to Pyodide for a blazingly fast in-browser coding experience."
See you there!

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More than 1,000 registrations for @pandeyparul's live @OReillyMedia workshop on marimo for AI and ML Development.
🗓️ Monday, May 18, 8 am–11 am PT (8:30–11:30 pm IST).
A free 3 hour hands-on, interactive workshop. Register below. ⬇️

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Ask an LLM to pick a random number and odds are, it's not random. The biases in models make generative outputs repetitive.
Turns out you can improve output diversity through a thought prompting trick.
Tutorial below ⬇️
Paper by @SakanaAILabs
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