SITUATION EXPLAINED: OpenAI's first chip beats every Nvidia, AMD, and Google chip SemiAnalysis has tested.
Across GPT-OSS 120B, DeepSeek R1, and Kimi K2.5, Jalapeño delivered 1.5 to 1.9x more work per watt and 1.7 to 3.6x lower end-to-end latency, rising to 2.1 to 4.1x on
I was ready to rage, but then I tried on GPT, Gemini, Claude, Copilot, Kimi, DeepSeek, GLM-5.3 and they all picked 17...
FML 😂 This is straight out of Doctor Who's "Extremis"
DeepSeek Harness vs Claude Code.
Same prompt, same website, same game. DeepSeek: 483,000 tokens. 11 minutes. Claude Code: 48,000 tokens. Still running 30 minutes later. DeepSeek finished faster and way cheaper. Claude built something more polished. Claude still has the edge.
Testing DeepSeek, OMP and OpenCode harnesses using the same Ox Alpha model.
I gave all 3 the same Ranger RF-31D reference image from Interstellar and the exact same one-shot prompt to see how well each harness could recreate it. Here’s the result 👇
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