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Kimi K3: Open Frontier Intelligence

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Re: Kimi K3: Open Frontier Intelligence

#412

Earlier quoted context omitted.

It's like reading Anthropic's obituary.

Nah: https://www.youtube.com/watch?v=LSlV206xPqM These real world examples show it's one tier away.

These "real world" examples are nothing like the way I use LLMs from within a harness. GPT 5.6 Sol and Fable are clearly more impressive, but how does this translate to interactive agent use, or use under an agent orchestration framework?

Re: Kimi K3: Open Frontier Intelligence

#413
post #379

Earlier quoted context omitted.

[flagged]

> I pretty sure OpenAI and Anthropic are doing the same or worse. No they're not. It would end both companies if they were ever found to be doing that. Their terms are clear - if you use the coding plans they can[0] train in return. Enterprise and API, absolutely not. The argument here is that with the Chinese labs you have zero legal recourse. [0] opt-in, thanks

> if you use the coding plans they train in return.

No, you have to opt-in to that. There's a privacy toggle on account settings.

Re: Kimi K3: Open Frontier Intelligence

#415

> Chip Design > As an early proof of concept, Kimi K3 designed a chip to serve a nano model built on its own architecture. In a single 48-hour autonomous run, K3 built, optimized, and verified the chip using open-source EDA tools on the Nangate 45nm library. Within 4 mm², the chip closes timing at 100 MHz and sustains over 8,700 tokens/s decode throughput in simulation, packing 1.46M standard cells, 0.277 MB of SRAM,…

I had a thought a while back: sell large local models burned onto fused compute / ROM chips. Like cartridges for old game consoles. Slot (or probably plug into USB-C) and go.

It’s an ASIC with the model wired into it so it’s very low power and fast.

I’d buy these. Say $100 for a frontier class model. Maybe more.

Re: Kimi K3: Open Frontier Intelligence

#418
post #227

Some official benchmark numbers posted in Chinese social media (I am sure they will publish an English blogpost later too): https://mp.weixin.qq.com/s/V4xhEIy8xDXSMDPrPkmUAQ Generally looks like a Sol/Fable tier model, better across the board than Opus 4.8. (Edit) English blogpost is up now: https://www.kimi.com/blog/kimi-k3

[flagged]

Distillation is not an attack. It simply a way to train a model. Not doing it when you are behind is akin to snatching defeat from the jaws of victory.

Re: Kimi K3: Open Frontier Intelligence

#419
post #415

> Chip Design > As an early proof of concept, Kimi K3 designed a chip to serve a nano model built on its own architecture. In a single 48-hour autonomous run, K3 built, optimized, and verified the chip using open-source EDA tools on the Nangate 45nm library. Within 4 mm², the chip closes timing at 100 MHz and sustains over 8,700 tokens/s decode throughput in simulation, packing 1.46M standard cells, 0.277 MB of SRAM,…

I had a thought a while back: sell large local models burned onto fused compute / ROM chips. Like cartridges for old game consoles. Slot (or probably plug into USB-C) and go. It’s an ASIC with the model wired into it so it’s very low power and fast. I’d buy these. Say $100 for a frontier class model. Maybe more.

This would be very compelling. Can anyone share more details on how it would work? Only issue is that you are stuck at a certain point in time but that’s not a huge deal. Even just a good 27b model would be useful.
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