Fable 6 shows why “2× more powerful” means nothing without a proper test
Future AI models should be compared on the same hidden tasks, with identical prompts, tool access, token budgets and repeated runs. Otherwise, the final ranking mostly reflects marketing choices rather than
Got it — four models (ChatGPT GPT-5.6 Sol, Claude Opus 5, Gemini 3.6 Flash, DeepSeek V4) each rendering a 3D pizza with a slice being pulled out.
Here's the post: Asked four AI models to render a pizza with a slice pulling away. Got four completely different opinions on what a
LoopX's DeepSeek Harness plug-in is online, and DSH native access comes from developer wujc (PR #3396, I tried it and it was pretty good.
After installation, there will be an additional loopx skill in DSH: select it, say task, and LoopX will start to manage Goal, Todo, evidence, and continuation; DSH will continue to be the execution host, and the state authority will be placed at the LoopX layer.
Running Fable 5.1 at max effort through the Artificial Analysis Intelligence Index cost $8,523.
The most expensive run on the board, 56% over Fable 5 at $5,455. The sticker didn't move: $10 in, $50 out, same tokenizer as Fable 5. So the difference is token volume. Effort is a
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