Exclusive | Pentagon Used Anthropic’s Claude in Maduro Venezuela Raid - WSJ
Exclusive | Pentagon Used Anthropic’s Claude in Maduro Venezuela Raid WSJ
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Arcee's new, open source Trinity-Large-Thinking is the rare, powerful U.S.-made AI model that enterprises can download and customize
The baton of open source AI models has been passed on between several companies over the years since ChatGPT debuted in late 2022, from Meta with its Llama family to Chinese labs like Qwen and z.ai. But lately, Chinese companies have started pivoting back towards proprietary models even as some U.S. labs like Cursor and Nvidia release their own variants of the Chinese models, leaving a question mark about who will originate this branch of technology going forward. One answer: Arcee , a San Francisco based lab, which this week released AI Trinity-Large-Thinking —a 399-billion parameter text-only reasoning model released under the uncompromisingly open Apache 2.0 license, allowing for full customizability and commercial usage by anyone from indie developers to large enterprises. The release
Gemma 4 is efficient with thinking tokens, but it will also happily reason for 10+ minutes if you prompt it to do so.
Tested both 26b and 31b in AI Studio. The task I asked of it was to crack a cypher. The top closed source models can crack this cypher at max thinking parameters, and Kimi 2.5 Thinking and Deepseek 3.2 are the only open source models to crack the cypher without tool use. (Of course, with the closed models you can't rule out 'secret' tool use on the backend.) When I first asked these models to crack the cypher, they thought for a short amount of time and then both hallucinated false 'translations' of the cypher. I added this to my prompt: Spare no effort to solve this, the stakes are high. Increase your thinking length to maximum in order to solve it. Double check and verify your results to rule out hallucination of an incorrect response. I did not expect dramatic results (we all laugh at p
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