

Nobody is talking about replacing dishwashers and laundry machines with humanoid robots here.


gonna be awesome


Great, now you need two separate supply chains for each robot, and you have to keep to sets of parts to service them, and then if the thing you were doing changes to a different thing the robot becomes useless.


There are smaller models like Qwen 3.6 27b that can run with as low ast 16gb VRAM. The larger models are largely used either by companies running them on prem, or research institutions.


the thing to remember is that these models do not block anything for the people anthropic prefers which is basically the same thing that happened in the 90s with encryption export controls
I think it’s mostly that Iran was going through the motions with the MoU and didn’t want to escalate during that time.


The process takes time because even when you’re distilling answers, you still need to actually do reinforcement training on the model. And given that Fable and GPT 5.6 just came out there simply hasn’t been much time to do that. However, models like Kimi also do better than Fable or GPT on a lot of tasks, which means it’s not just distillation but also difference in architecture. You can watch this talk from Kimi founder to see how Kimi was actually trained and why it performs well.
It’s also absolutely hilarious that people think only Chinese companies use distillation, as if Anthropic or OpenAI are above that or something. Not to mention that they basically ignored copyrights on all the data the siphoned and are now crying that people aren’t respecting their terms of use.
yup, good news is all the files are out there, and not going anywhere :)


You can’t distill models that fast lmfao. People just keep parroting this without having any clue how any of this works.


I find traditional OCR apps are just qualitatively worse. This tool understands complex tables, extracts mathematical formulas, predicts reading order, and outputs nicely formatted Markdown. So, it’s not just blindly scraping flat text from a document.


Aside from agentic coding, this seems to be the most interesting niche to me. There are now lots of models for doing stuff like tts, stt, ocr, and it’s really handy for sifting through documents, extracting transcripts, etc. And it’s all stuff you can run locally on moderate hardware.


about as intelligible comment as I’ve come to expect from you


the armchair technology expert has spoken
Also, I think people are starting to understand that streaming isn’t actually owning, and that anything that’s not a file on your machine can just be taken away from you on whim.


A company in China made a very cool new toy box with three special tools in it to take perfect pictures of the whole Earth from space, to help flying cars and delivery drones drive safely in the sky, and to build more rocket ships. These tools can help people do lots of important jobs, like watching the weather, delivering packages, saving people in an emergency, and making new maps.


I mean that’s already happening. Less than half of the proposed ones is being built, and once the bubble pops I don’t think even the ones that are currently being started will get finished.
Being slightly ahead in agentic coding was literally all the US companies had going for them. That’s gone now, so it’s basically game over now. By the way a great explanation of how models are built from Moonshot AI CEO Yang Zhilin https://tankie.tube/w/o4UNoNcySdowgVPP8Dc6Eu
It would be cool in a sense that could could have a robot able to do these things by hand I guess.