Thinking Machines amps up its bet against one-size-fits-all AI with its first open model, Inkling
What's happening
Thinking Machines launched its first open-weights model, Inkling, a 975B-parameter LLM that the company is presenting as its first public proof point after 18 months of private infrastructure work. The release is getting attention across TechCrunch, Hacker News and Reddit, where users report Inkling is now the top US open-weight model and ranks around #5 among all open-weight models. Discussion threads include the official announcement, benchmarks, and community reactions praising its performance versus U.S. peers like NVIDIA Nemotron Ultra.
Why it's trending
A major AI startup finally opened its weights (Inkling, 975B) after long private development, and early benchmarks and community rankings show it punching above other US open models right away.
SignalNewly emerging, confirmed across 3 independent source types.
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Stop treating every open model as interchangeable: Inkling (975B) just proved open weights can outcompete U.S. incumbents, and that changes how you should pick a base model.
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Original sources6
- Thinking Machines amps up its bet against one-size-fits-all AI with its first open model, Inkling
It's the company's first public proof point after a year and a half spent building AI infrastructure largely out of public view.
TechCrunch AIJul 15 - Inkling by Thinking Machines is the #1 US open weight model now
Inkling by Thinking Machines Lab is a huge step forward for US open weight models to catchup w/ China. Inkling solidly beats all US open models including NVIDIA Nemotron Ultra and ranks ~#5 of all open weight models. Congrats to the thinking team!
r/LocalLLaMAJul 15 - Inkling – Open-Weights 975B Parameter LLMHackerNewsJul 15
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