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Publishing WASM wheels to PyPI for use with Pyodide

Publishing WASM wheels to PyPI for use with Pyodide

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The Pyodide 314.0 release announcement (via Hacker News) includes news I’ve been looking forward to for a long time: You can now publish Python packages built for Pyodide (or any Python runtime compatible with the PyEmscripten platform defined in PEP 783) directly to PyPI and install them at runtime. Previously, the Pyodide maintainers had to maintain, build, and host over 300 packages ourselves. This created a significant burden on our maintainers and became a major bottleneck for the […]

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A Coding Implementation on Spatial Graph Neural Networks for Urban Function Inference Using city2graph, OSMnx, and PyTorch Geometric

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In this tutorial, we build an end-to-end spatial graph learning pipeline using city2graph. We start by collecting real urban POI data and street network information from OpenStreetMap, with a synthetic fallback to ensure the workflow remains reliable. We then engineer spatial features, construct multiple proximity graph families, and compare how different graph-building strategies represent the same urban environment. After that, we create both heterogeneous and homogeneous graph structures, convert them into PyTorch Geometric format, and train a GraphSAGE […]

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Moonshot AI Releases Kimi K2.7-Code: a Coding Model Reporting +21.8% on Kimi Code Bench v2 Over K2.6

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This week, Moonshot AI released Kimi K2.7-Code. It is a coding-focused, agentic model. The model weights ship on Hugging Face under a Modified MIT license. You can also reach it through the Kimi API and Kimi Code. K2.7-Code targets long-horizon software engineering, not general chat. It plans, edits, runs tools, and debugs across many steps. Moonshot pairs the model with a subscription coding platform around it. Kimi K2.7-Code K2.7-Code is a Mixture-of-Experts model. It holds 1T total parameters […]

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luau-wasm 0.1a0

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Release: luau-wasm 0.1a0 See Publishing WASM wheels to PyPI for use with Pyodide for details. Tags: lua, webassembly, pyodide

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Mapping SQLite result columns back to their source `table.column`

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Research: Mapping SQLite result columns back to their source `table.column` It would be neat if arbitrary SQL queries in Datasette could be rendered with additional information based on which columns from which tables were included in the results. To build that, we would need to be able to look at a SQL query like select users.name, orders.total from users join orders on orders.user_id = users.id and programmatically identify the table.column for each result – navigating not just joins […]

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How to Make AI Worthy of Clinician Trust: A Framework That Actually Works

How to Make AI Worthy of Clinician Trust: A Framework That Actually Works

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The healthcare AI adoption problem isn’t a technology problem. It’s a trust architecture problem, and it requires a very different kind of engineering to solve. Every week, another health system announces a new AI initiative. Every year, another study confirms the same finding: adoption is stalling. Clinicians aren’t using the tools built for them, or they’re using them reluctantly, extracting the minimum and trusting even less. The default explanation is that clinicians resist change. That they’re slow with new technology. […]

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LLM Observability with LangSmith — Part 2: Eval Gates, Prompt Versioning & Choosing Your Stack

LLM Observability with LangSmith — Part 2: Eval Gates, Prompt Versioning & Choosing Your Stack

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In Part 1, we made an agent replayable and audit-proof. Now we make it regression-proof — and then decide, with a clear head, whether LangSmith is even the right tool for your team. 📚 This is Part 2 of a two-part series. In Part 1 , Meera — a GenAI engineer at AcmeAI — shipped a LangGraph support agent and got stopped by three questions from Sanjay, the head of risk. We answered two of them: with LANGSMITH_TRACING=true and a project name, every conversation became a […]

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Your LLM Needs a Map!

Your LLM Needs a Map!

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Before I built the chatbot, I built the map. Here is how I turn three messy databases into one graph an LLM can actually reason about. Part 2 of 4 on building a conversational analytics engine. ~9 min read. Point a language model at a raw database schema and ask it a real business question. Watch it guess. It sees Sales.SalesOrderHeader, Person.BusinessEntity, and three hundred columns named things like rowguid and TerritoryID. It has no idea that “customer” is one table, […]

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RSA munitions T-shirt

RSA munitions T-shirt

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Back when the US government classified strong encryption as “munitions,” RSA public key cryptography was technically illegal. In 1995, Adam Back protested this by creating a terse, obfuscated implementation of RSA in Perl code and used it as an email signature. The code was also printed on T-shirts. The shirt was classified as munitions because it contained source code for strong encryption. More on the shirt here. This was the code: #!/bin/perl -s– -export-a-crypto-system-sig -RSA-3-lines-PERL $m=unpack(H.$w,$m.””x$w),$_=`echo “16do$w 2+4Oi0$d*-^1[d2%Sa […]

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