320B parameters. 🤯

GLM-5.3-Flash is pushing open-weight AI to another level.

🧠 320B total parameters
⚡ 18B active per token
🔓 Open weights
👁️ Native multimodal
🛠️ MITlicensed

The open AI race is getting seriously competitive. 🚀

Would you actually self-host a 320Bmodel?

#AI#GLM53Flash#OpenSourceAI

#MicrosoftResearch quietly open-sourced #Qlib: the kind of full-stack #AI quant platform #hedgeFunds build in-house and guard like a trade secret. 44,000+ stars, #MITlicensed, and it runs the entire pipeline from raw #marketData to actually executing the trade.

youtu.be/3pJnBTcLTUM?...

»#DeepSeekR1 “incorporates cold-start data before RL” and “achieves #performance comparable to #OpenAI #o1 across math, code, and reasoning tasks”. That one is also #MITlicensed.« https://simonwilliso... #tech #media

The MIT-Licensed Frontier: Why GLM-5.2 Reshapes Enterprise AI Trade-Offs: https://kiledjian.com/2026/06/19/the-mitlicensed-frontier-why-glm.html

Enterprise artificial intelligence strategy is shifting from model selection to control architecture selection.
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