Earlier quoted context omitted.
https://hn.algolia.com/?dateRange=last24h&page=0&prefix=fals... or https://lobste.rs will probably have less AI
How does one get a lobsters invite?
send me an email
Kimi K3: Open Frontier Intelligence
181–190 of 1001 posts
Re: Kimi K3: Open Frontier Intelligence
#182>Too many people are chatting with Kimi right now. Subscribe to enter a dedicated priority queue!
Re: Kimi K3: Open Frontier Intelligence
#183I'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.
Reuters has been reporting that Chinese government is undergoing similar investigation to the US; blocking the export of domestic frontier models. They boil down to "anonymous sources" but it does seem inevitable as the tech gets stronger and stronger.
It came (at least in part) from a document in May where the CCP pretty much said that they will need to review models to make sure they don't threaten national security.
Which basically translates too "Don't give away tools that can be used to undermine your own goals".
Re: Kimi K3: Open Frontier Intelligence
#184Pelican: https://tools.simonwillison.net/markdown-svg-renderer#url=ht... - rendered via the OpenRouter API: https://openrouter.ai/moonshotai/kimi-k3 95 input, 16,658 output = 25 cents! https://www.llm-prices.com/#it=95&ot=16658&ic=3&oc=15 (13,241 of those were reasoning tokens.) I think that's the most expensive pelican I've rendered through a Chinese model so far.
It got the 3D effect of leg behind the bar at least which is impressive
Re: Kimi K3: Open Frontier Intelligence
#185> In our evaluations, Kimi K3 delivers frontier-level performance. Among the models tested, its overall intelligence ranks second only to Claude Fable 5 and GPT-5.6 Sol. For the complete benchmark results, see our tech blog. The full model weights of Kimi K3 will be released in the coming days. More details on the architecture, training, and evaluation will be published together with the Kimi K3 technical report. > K…
That’s an interesting way to say you’re third. I’m only second to the ten other runners on my local Strava segments.
Re: Kimi K3: Open Frontier Intelligence
#186Pelican: https://tools.simonwillison.net/markdown-svg-renderer#url=ht... - rendered via the OpenRouter API: https://openrouter.ai/moonshotai/kimi-k3 95 input, 16,658 output = 25 cents! https://www.llm-prices.com/#it=95&ot=16658&ic=3&oc=15 (13,241 of those were reasoning tokens.) I think that's the most expensive pelican I've rendered through a Chinese model so far.
I rarely see gears in these bicycles. Is the idea that should a pelican need to go uphill it could just fly.
https://en.wikipedia.org/wiki/Mechanical_doping
We don’t know what’s inside these bikes!
Re: Kimi K3: Open Frontier Intelligence
#187Pelican: https://tools.simonwillison.net/markdown-svg-renderer#url=ht... - rendered via the OpenRouter API: https://openrouter.ai/moonshotai/kimi-k3 95 input, 16,658 output = 25 cents! https://www.llm-prices.com/#it=95&ot=16658&ic=3&oc=15 (13,241 of those were reasoning tokens.) I think that's the most expensive pelican I've rendered through a Chinese model so far.
I wouldn't be surprised if models were optimizing for rendering SVG pelicans at this point
every ai release thread seems to have this same sequence of comments
Re: Kimi K3: Open Frontier Intelligence
#188Re: Kimi K3: Open Frontier Intelligence
#189I'm not finding this on huggingface yet is and open model or is kimi now a closed model ?
Re: Kimi K3: Open Frontier Intelligence
#190Earlier quoted context omitted.
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.
That's true, but it makes it difficult to compare pricing when it's based on tokens. Maybe we need a benchmark for price per a specific input, like enwiki8.
It is kind of a shame we ended up comparing token pricing across models and providers when it doesn’t really make sense. Not sure what would be better though.