holy crap, save some butter for the bread omg

  Location:Berlin/Europe
  Remote: Not necessarily, Open to both remote and non-remote opportunities
  Willing to relocate: No
  Technologies:  TypeScript, JavaScript, Python, Vue, React, Svelte, Node, NextJS, Three.js/WebGL, Flask, Django, FastAPI, PostgreSQL, Docker, AWS, GCP, Cloudflare, PyTorch, CUDA, OpenCV, Git, pytest
  Résumé/CV: on https://river.berlin/about-me/
  Email: me@river.berlin

also I am working with huggingface's lerobot right now as a hobby on the side

It's certainly not there yet for anything practical, there's also certain bits and structures that don't have accurate names during construction, and it is important to keep that in mind - so a robot is unlikely to understand what it means to say "put the left bit of this box onto this right bit" due to ambiguity, a human would understand that

Plus we have no good reliable accuracy testing data in most cases (most tests occur on a few demos, but that isn't a good representation of how must things work), popular benchmarks, such as libero have been saturated, and nearly everything gets 95% there, most companies and researchers have their own benchmarks here.

Plus companies lie alot, and do very dangerous things in thier videos, I.e. these robots should not be standing very close to humans, because of being dangerous.

There are also legitimate concerns of misuse of these robots that need to be accounted for, misuse does not have to be warfare, but can be as simple as confusing it while it is cutting tomatoes with a knife.

Turning doorknob is easy, and fail recovery is also being worked on, but we don't have reliable statistics anywhere on that. The hard part is on practical things, as in when placing bricks or attaching a part during manufacturing it needs to ensure that it is aligning everything correctly....and that's hard, while it is impressive, it is very irresponsible to keep humanoids at home (people are irresponsible when untrained), for example, lawnmowers injure about 6400 people a year...and that is not an everything machine.

Humanoids in general are...not appealing in specific, due to maintainable of joints, complexity, but robot arms in particular, expecially on wheels (check mobile aloha), are likely to be able to do tasks such as clean up in hotels, after a guest had left, or replace some cooks in restaurants (if their work is consistent)

Comments URL: https://news.ycombinator.com/item?id=48957074

Points: 2

# Comments: 0

GPT 5.6 incorrectly stated that I had nothing to do, Fable got the issue correctly and I was able to see that that was indeed the cents place and that I was more worried than I realized, and I managed to get a temporary solution setup (that I verified and I am sure is correct).

Which is to say it managed to relieve me of quite a bit of stress haha

also there's the fact of this having a ROI since people generate economic value in the longer run, and hence, more taxes

Just to be clear – this is an event where he has been doing so repeatedly, accusing people of cheating without evidence in-and-of itself isn't forbidden - since cheating in chess is difficult to verify, it's the manner and fashion to which Kramnik has done this that has led to his suspension

Remote: Everything works, I'm open to remote, in-person and hybrid working opportunities

Willing to relocate: No

Technologies :

Pytorch/Tensorflow/Vertex AI/Amazon Bedrock/hf-related libraries, primarily ML-based, but otherwise I'm also familiar with Docker, Python, Pypi, uv, Nodejs, PSQL, SQLite, MS-SQL, GCP, AWS, Datadog, Tinybird, Grafana, Svelte, React, Runpod.

Some Proof : My website is written in Svelte (https://river.berlin) I used to work at Runpod previously, mostly on MLOps, I love training models, or doing the slow work of figuring out vllm/sglang issues. I used to teach python an incredibly long time ago (https://www.youtube.com/@typecodelearn6971) obviously my skills have increased considerably since then. I like deep slow work, things that take a few days to a few hours to solve - That being said I am open to everything, if you want it made, I probably can make it.

Résumé/CV: See it on my website : https://river.berlin

Email : hackernews@river.berlin (or alternatively use the form on my website)

I've 7 years of experience - I started of building services for individuals, and then moved on to ML-related work. I worked at RunPod last, directly working with a number of clients for runpod (including OpenAI, Cursor, Perplexity).

demo link for anyone that wants to try this out https://playground.liquid.ai/chat?model=cmppnbgse000004l4bc8...

it did it successfully, but it did need a follow up correction prompt, overally pretty impressive for a model with 760M active parameters, but definitely not deepseek-r1 level

that being said, if something with 760M active parameters can be this good then, there's a good chance it is likely that api-based models are likely to get cheaper in the future

Prompt ------

``` can you write me some js code (that i can put in the console for about:blank) which will basically create a timer for for me that i can start, stop, and store current values for (or rather lap)

so i want it to create buttons (start, stop, lap buttons) on the page for me with labels and divs and other elements that accordingly record the current information and display the current information, and can accordingly start, stop and lap :)

the js code that i copy paste automatically creates the html buttons and divs and other elements that can manage the timer and accordingly the timer works with them ```

The average of MMLU Redux,MuSR,GSM8K,Human Eval+,IFEval,BFCLv3 for this model is 70.5 compared to 79.3 for Qwen3, that being said the model is also having a 16x smaller size and is 6x faster on a 4090....so it is a tradeoff that is pretty respectable

I'd be interested in fine tuning code here personally