All products are now available to order! $45k for tinybox green with 5090s, and we have two variants of the tinybox pro v2, one with 5090s and one with RTX6000 Blackwells (that's a whopping 768 GB of RAM)
Anthropic is the boy who cried wolf.
The 1st time they cried: GPT-2 XL is too dangerous. How laughable is that now?
The 2nd time they cried: Mythos is too dangerous. Now we have an open Kimi K3. Did anything happen?
Next time, even if there really is a wolf, nobody will care.
Started with the $39 plan and used it up, @Kimi_Moonshot is a user-aligned company I'm happy to send money to. GLM-5.2 feels Opus tier, Kimi K3 feels Fable tier!
As anyone who tried tinygrad would know, our value proposition has never been "the fastest kernels." We have known the whole time that very powerful AI search was coming. It's about providing a simple and understandable framework to deploy what that search finds.
Also a bad day for tinygrad. Their core value proposition is getting eaten by AI.
Kimi can probably write better kernels than their search based compiler, and across more architectures too.
The time is long past to drop all export controls on NVIDIA. Some Americans are foolish enough to think they can win an AI race against China. That's unlikely. If the world switches to Chinese chips, the US will be dependent too. Let's make a global market for AI for everyone.
Kimi K3 is smart! I wish it was faster though, that's what I like about our local GLM-5.2. Can't wait to have Kimi at 500 tok/s. Do we know the number of active parameters?
Introducing Kimi K3: Open Frontier Intelligence
🔹 2.8 Trillion Parameters, 1 Million Context, Native Multimodal
🔹 Kimi Delta Attention enables up to 6.3x faster decoding in million-token contexts
🔹 Attention Residuals deliver ~25% higher training efficiency at <2% additional
AMD is trying to do some lame corporate review process for the slides of my talk. I hope it gets to happen, attempts at narrative control are so last summer. For what it's worth, I pasted my talk into ChatGPT and it thinks it's good for their brand!
On a car or mobile robot, you don't have the money for bandwidth or time for latency to stream your cameras to the cloud. eGPUs are going to be the top choice of smart robots everywhere. Why limit your robot to some tiny chip, stick a 5090 or 9070XT on it with tinygrad!
NEWS 🧵: @comma_ai ran a livestream through the comma four, with @realGeorgeHotz driving hands free. It was connected to an AMD eGPU running unreleased v0.11.2 on a small master model.
A few things I noted from the stream ↓
Once DDR5 prices come back to earth, some reasonably priced CPU-GPU hybrid machines for GLM 5.2 at 100 tok/s look feasible. What would you be willing to pay for an Opus level model in your living room?