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DATA; AI; SIGN LANGAUGE

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    Some technical context on what we ran into building this. MCP tools don't really work for financial data at scale. One tool call for five years of daily prices dumps tens of thousands of tokens into the context window. And data vendors pack dozens of tools into a single MCP server, schemas alone can eat 50k+ tokens before the agent does anything useful. So we auto-generate typed Python modules from the MCP schemas at workspace init and upload them into the sandbox. The agent just imports them like a normal library. Only a one-line summary per server stays in the prompt. We have around 80…

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  24. 24SL

    Hi! I have relatives that speak sign language, and always found it odd that despite unbelievable advances in AI in recent years, the problem still felt somewhat neglected. Especially with the advent of wearable tech; to my knowledge, this is the first project that integrates the meta glasses w/ fingerspelling translation software. As for the technical aspect, I trained a neural net on Google's FSboard dataset modeling a CNN + GRU temporal encoder architecture (trained with CTC), and then decoded the output with CTC beam search and a KenLM language model to solve some of the deficiencies…

    Aug 2026 · github.com

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