Last night at 2 a.m., I was having skewers with a friend. He was complaining about the AI trading robot: "Whether it makes money or not, I don't care. I'm most afraid that it just makes up reasons out of thin air." He even showed me a screenshot of the profits, saying it's very stable, but his hands kept trembling. I casually asked, "So which model is it running on?" He was stunned: "I don't know... Anyway, it can run." I immediately felt a chill down my spine.

That's also why I've recently been paying attention to @inference_labs: they don't necessarily excel at "generation," but instead turn the "reasoning process" into an auditable ledger. Two recent developments are quite impressive: ① Officially announced a collaboration with @cysic_xyz to put zkML proof calculations on decentralized computing/hardware networks, directly targeting the longstanding issues of proof time and cost; ② The official said JSTprove has already been integrated into DSperse, with model slicing and parallel execution, each segment producing verifiable "receipts." Plus, with TruthTensor Crucible S1 just hitting the top of the charts, I’m getting excited—this isn’t just a PowerPoint presentation; it’s about pulling verifiable AI into production environments.