121–125 of 125 posts
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? The user directly addresses this.
K2 and K2T are drastically different models released a significant amount of time apart, with wildly different capabilities and post training. K2T is much closer in capability to 4.5 Sonnet from what I've heard.
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All of those things you can still do renting AI server compute though? I think privacy and cool-factor are the only real reasons why it would be rational for someone to spend checks the apple store $19,000 on computer hardware...
Why do you look at this as a consumer? Have you never heard of businesses spending money on hardware???
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Mistral Large 3 is reportedly using Deepseek V3.2 architecture with larger experts and fewer of them, and a 2B params vision module.
According to whom? I haven't seen any claims of that being the case (other than you), just that there are similar decisions made by both of them. https://mistral.ai/news/mistral-3
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> What does that leave us with? At the start, with no benchmark. Because LLMs can't reason at this time, and because we don't have a reliable way of grading LLM reasoning, and because people are stubborn thinking LLMs are actually reasoning we're at the start. When you ask a LLM "2 + 2 = ", it doesn't add the numbers together, it just looks up one of the stories it memorized and return what happens next. Probably in…
That's kind of nonsense, since if I ask you what's five times six, you don't do the math in your head, you spit out the value of the multiplication table you memorized in primary school. Doing the math on paper is tool use, which models can easily do too if you give them the option, writing adhoc python scripts to run the math you ask them to with exact results. There is definitely a lot of generalization going on be…
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Why do you look at this as a consumer? Have you never heard of businesses spending money on hardware???
And what reasons would a business have to spend the money on hardware instead of cloud services? Privacy