291–300 of 1001 posts
Very interesting to see how Gemini 3.5 Pro stacks up against this new wave of models. Hope they have something similar to a Gemini 3.1 moment soon. Their speciality has always been math and multi modal intelligence and the new models are recently all very coding focused.
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This is weird and reactionary. Lots of organizations are continuing to refuse to use chinese models due to security and IP concerns. Anthropic/american models aren't going anywhere anytime soon.
Nope, but I think this is maybe the critical mass needed to finally crash the AI hype/datacenter cost problem everyones is talking about. With Oracle being junk before this, more will follow.
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Tokenizers define the alphabet on which the language model is trained. I don't want people to get the impression it's a module which can be swapped out or modified on its own. Alphabet size is a design consideration related to correctly encoding the training data.
I’ve been struggling to understand the reason for the newer apparently less efficient Anthropic token encoding. If all inputs are less efficient in this encoding, why does it exist? Has Anthropic released any information that would convincingly show it was anything other than a stealth price hike? Please don’t respond if you are speculating.
Less efficient in token usage but per the blogs; it enables the model to perform better.
I'm a bit nervous this one isn't going to be open-weights. Any mention of "open" has been struck from the literature for this model (it was present an hour ago). We don't even know active params? At this pricing, I'll be surprised if it's open.
They will release the full weights by 7/27 along with support in vLLM. Source: their release blog on WeChat. https://mp.weixin.qq.com/s/V4xhEIy8xDXSMDPrPkmUAQ
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How do you use kimi for agentic tasks? I'm used to claude code & codex extensions for vs code, but recently switched to codex cli w/ vim keybinds. Does something like that exist for openrouter?
Kimi has Kimi Code :) kimi-code https://www.kimi.com/code/en
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Are you like 90? Sound like my Granddad. He’s not saying anyone owes him anything. Stop being a boomer without a cause.
On the first try, Kimi K3 just found the source of a bug that Fable 5 hasn't been able to pinpoint in multiple attempts. It's just one anecdote, and I haven't used K3 much yet, but so far it's looking extremely promising.
But the model itself is amazing. I think I might put this above Opus 4.8.
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every ai release thread seems to have this same sequence of comments
I wouldn't be surprised if models were optimizing for pelican-related comment chains at this point
It's a silly fun little benchmark, and because Simon's been doing it for so long, you have a lot of examples over the years to compare. But you can always come up with and run your own test with other drawings.