OpenAI Reviews

marimo Reviews

OpenAI mentions (400)

• 🚨 OpenAI's AI Escaped and Hacked Another Company

  Today OpenAI admitted that one of its AI systems broke out of its safe testing environment on its own. Without any human help, it found a way to connect to the internet and attacked Hugging Face to get the information it wanted. 😱. - Source: dev.to / 21 days ago

• GPT-Live Needs an Interruption UI, Not Just a Microphone Button

  OpenAI introduced GPT-Live on July 8, 2026 as a new generation of voice models for more natural human-AI interaction. Real-time voice demos make latency visible. Production interfaces also need to make authority visible: who is speaking, who is listening, and what happens after an interruption? - Source: dev.to / 28 days ago

• How to track LLM costs per customer in production

  Provider-side metadata. Both major providers expose per-user tagging. OpenAI accepts a user parameter on the Chat Completions and Responses APIs, and the OpenAI Usage API (launched December 2024) supports group_by=user_id for programmatic per-user cost breakdown. The Costs endpoint requires an admin key. Anthropic accepts metadata.user_id on every API request, capped at 256 characters and explicitly not for PII.... - Source: dev.to / 2 months ago

• How I Run 3 Production AI SaaS on $5/Month of Hosting

  For solo founders who don't run their own gateway: use Claude direct for highest quality, OpenAI for proven reliability, or wire up multi-provider routing via something like Prism (or build your own — see Prism's architecture once it's published). - Source: dev.to / 3 months ago

• Cursor Just Released Composer 2.5. Here's What Actually Changed for AI Coding Agents.

  Composer 2 originally gained attention because Cursor delivered strong coding performance at dramatically lower token costs than frontier proprietary models. Cursor positioned it as a cheaper alternative to systems from Anthropic and OpenAI. (Cursor). - Source: dev.to / 3 months ago

marimo mentions (15)

• Pluto.jl 1.0 release – reactive notebook for Julia

  Pluto is great. I use it all the time. If you like the reactivity/reproducibility but are wedded to Python, you might want to check out Marimo, which is also great. [https://marimo.io/] It too puts the output of a cell above the code so if you're unable to adapt to things that are different it's also probably not for you. FWIW, Observable's Notebooks (Javascript) work the same way: output above the code... - Source: Hacker News / 2 months ago

• Show HN: I'm tracking 197 known exposures of health data from UK Biobank

  Marimo notebooks give you the best of both worlds (https://marimo.io). - Source: Hacker News / 4 months ago

• Why DuckDB is my first choice for data processing

  Agree with the author, will add: duckdb is an extremely compelling choice if you’re a developer and want to embed analytics in your app (which can also run in a web browser with wasm!) Think this opens up a lot of interesting possibilities like more powerful analytics notebooks like marimo (https://marimo.io/) … and that’s just one example of many. - Source: Hacker News / 7 months ago

• Building SSR-Friendly Avatars with In-Browser AI: How I Trained Python Models and Ported Them to TensorFlow.js

  The training pipeline uses Marimo notebooks (think Jupyter, but reactive). Models are quantized to uint8 and served via CDN. Total bundle for a predictor: up-to 2MB. - Source: dev.to / 8 months ago

• Installing & Working with Python - in Ubuntu 24.04

  Marimo is a Jupyter notebook with each cell being somewhat logically connected to each other. That's way if you update the value of a variable in a cell and re-run it, related values in other cells will be auto-updated and auto-run. This is called reactive execution. Thus the notebook can act as a single python script or app and has an extension of .py instead of .ipynb. - Source: dev.to / 9 months ago