В удаленном от Украины почти в 2 тысячи километров регионе России ввели дистант из-за БПЛА08:47
In voice systems, receiving the first LLM token is the moment the entire pipeline can begin moving. The TTFT accounts for more than half of the total latency, so choosing a latency-optimised inference setup like Groq made the biggest difference. Model size also seems to matter: larger models may be required for some complex use cases, but they also impose a latency cost that's very noticeable in conversational settings. The right model depends on the job, but TTFT is the metric that actually matters.
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I’m not vibe coding. Every line of AI-generated output gets reviewed. Every statement. If I don’t understand what it’s doing, it doesn’t ship. That’s non-negotiable.
Then there’s what you’re saying, which is the value of the markets is the insider information. The insiders will communicate what they know by placing bets or buying contracts against information that’s not yet public. Here’s Vlad just talking about what he thinks the news is. And I’m going to ask you to try to square these ideas between “you shouldn’t have insider trading,” and “here’s what Vlad thinks the news is”:
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Стало известно о наборе в ВСУ осужденных за тяжкие статьи08:51
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