It would be cool in a sense that could could have a robot able to do these things by hand I guess.

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.

These are peer reviewed studies in western journals. Perhaps you’re not familiar with the concept of peer review?

Oh no, not the International Colonial Court. The whole reason ICC exists is cause the west didn’t have enough leverage over ICJ, and they decided to make their own kangaroo court to prosecute African leaders they didn’t like.

• https://pubmed.ncbi.nlm.nih.gov/40938602/
• https://link.springer.com/article/10.1186/s13018-024-05118-8?fromPaywallRec=false
• https://link.springer.com/article/10.1186/s13643-025-02977-y?fromPaywallRec=true
• https://www.tandfonline.com/doi/full/10.2147/NDT.S541627
• https://pubmed.ncbi.nlm.nih.gov/40971519/
• https://www.sciencedirect.com/science/article/abs/pii/S1744388126000186

Looking at 2 out of 8 links provided is the definition of cherry picking. Nowhere did I say that you have to ignore anything. What I gave you is a broad example of many different studies. You zeroed in on two examples, ignored the rest, and then started making wild claims about the quality of research. If you had any genuine interest in the subject, you would’ve actually gone through all the links provided and then examined the available evidence before making further comments. But obviously you just wanted to confirm your existing biases and that’s what you proceeded to do.

I mean you just cherry picked a few here from a broad sample I gave you, and it’s disingenuous to do that to frame it as if all the studies that disagree with your study are low quality.

there are plenty of peer reviewed studies showing that acupuncture is effective, here are just a few examples:

• https://www.sciencedirect.com/science/article/abs/pii/S2095496425001621
• https://pmc.ncbi.nlm.nih.gov/articles/PMC12113930/
• https://pubmed.ncbi.nlm.nih.gov/40938602/
• https://link.springer.com/article/10.1186/s13018-024-05118-8?fromPaywallRec=false
• https://link.springer.com/article/10.1186/s13643-025-02977-y?fromPaywallRec=true
• https://www.tandfonline.com/doi/full/10.2147/NDT.S541627
• https://pubmed.ncbi.nlm.nih.gov/40971519/
• https://www.sciencedirect.com/science/article/abs/pii/S1744388126000186

and 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 :)

yeah seems like it, this is actually very promising https://oceanvisions.org/phytoplankton-cdr/

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.

maybe ami go home