Mnimiy

中文参考

ChatGPT的共同发明者刚刚推出了一款模型，该模型只需0.114秒即可完成GPT Astra在8.5中的功能。 我将Jev连接到我在Astra上运行的构建的路由层：同样的任务很快在37分钟内完成，重新尝试的错误响应为零。 您向它提交一个情况和一份打印问题列表。 它同时并行回答所有问题，并为每个问题附加一个置信度。 没有思想链，没有代币一一流出。 您停止将一个SON blob解析回您的代码中并祈祷它能够验证，因为模型物理上无法在您定义的选项之外进行回答。 TypSafe为其发布的数字： 每百万个输入代币> 0.042美元，输出代币免费 >与Sonnet 5相同的准确性，两者均为67.8%，成本降低294倍，速度提高195倍 > 0.114秒对8.566 GPT-5.6 Terra在同一演示 他们的Doom演示让它每秒做出大约10个决定 由DCVC牵头的4000万美元种子基金，这个名字是对杰文斯的致敬，杰文斯是一位经济学家，他表明更便宜的煤炭意味着燃烧更多的煤炭，而不是更少。 这在代理下面运行，在每秒发生10次的呼叫上，从来没有人读过。 API的等待列表，但浏览器游乐场现在已经开放。下面的链接。

原帖全文 / EN

man who co-invented ChatGPT just shipped a model that does in 0.114 sec what GPT Astra does in 8.5. i wired Jev into the routing layer of a build i was running on Astra: same task finished 37 MIN SOONER, zero malformed responses to retry. you hand it a situation and a list of typed questions. it answers all of them at once, in parallel, with a confidence number attached to each. no chain of thought, no tokens streaming out one by one. you stop parsing a JSON blob back into your code and praying it validates, because the model physically cannot answer outside the options you defined. the numbers TypeSafe publishes for it: > $0.042 per million input tokens, and output tokens are free > same accuracy as Sonnet 5 on their eval, 67.8% for both, at 294x less cost and 195x the speed > 0.114 seconds against 8.566 for GPT-5.6 Terra on the same demo > their Doom demo has it making around 10 decisions per second $40M seed led by DCVC, and the name is a nod to Jevons, the economist who showed that cheaper coal meant burning more of it, not less. this runs underneath the agent, on the calls that happen ten times a second and never get read by a person. waitlist for the API, but the browser playground is open now. links below.