Machina(@EXM7777)

this is Jev but on STEROIDS and nobody is ready for it... output tokens are basically FREE now lemme explain to you what it means... you only pay for what you send it, $0.05 per million tokens, and the answer costs you nothing and it doesn't just read a little bit... it reads up to 384K tokens in ONE go contracts, logs, tickets, screenshots, charts, scanned pages, all at once, no chopping anything into pieces then it makes a decision in under a second - which support ticket goes where - which securit

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Machina on X: "this is Jev but on STEROIDS and nobody is ready for it... output tokens are basically FREE now lemme expl...

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  • 主题聚焦:this is Jev but on STEROIDS and nobody is ready
  • 来源:Machina(@EXM7777),建议结合原文判断细节。
  • AI 分析暂不可用,本条为保底评分与摘要。
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Machina on X: "this is Jev but on STEROIDS and nobody is ready for it... output tokens are basically FREE now lemme explain to you what it means... you only pay for what you send it, $0.05 per million tokens, and the answer costs you nothing and it doesn't just read a little bit... it reads up… / X

Machina

@EXM7777

this is Jev but on STEROIDS and nobody is ready for it... output tokens are basically FREE now lemme explain to you what it means... you only pay for what you send it, $0.05 per million tokens, and the answer costs you nothing and it doesn't just read a little bit... it reads up to 384K tokens in ONE go contracts, logs, tickets, screenshots, charts, scanned pages, all at once, no chopping anything into pieces then it makes a decision in under a second - which support ticket goes where - which security issue gets flagged - which tool the agent picks - what the legal or finance doc actually says it leads on 13 of 16 enterprise decision benchmarks your agents used to guess because giving them all the context was too expensive... that excuse is gone now

Alexander Whedon

@alex_whedon

18h

Introducing SubQ Snap, the first long-context decision model for real enterprise work. Snap is the only decision model or LLM where compute per token stays constant as context grows. • 384K tokens of multimodal context, 12x larger than Jev. • 61.7 on Decision Index v0.2.1 vs

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5:34 PM · Oct 12, 2026

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