adityashankar

Oh yeah definitely, That being said what helped me more than anything is the flashcards app and speaking German with my roommate regularly.

Nonetheless, in complete honestly I do also have a German tutor who I see once a week for 50 minutes, I am very reliable on completing my work though, the "progressbars" in my flashcards app do keep me motivated.

Learning a language is really hard and takes years, but mentally I am convinced, that if the progressbars in the flashcard app I use reach 100% and also in my German cases app, that I will get closer to speaking perfect German, this keeps me motivated.

> For years, OpenRouter has been called “Stripe for LLMs.”

holy crap, save some butter for the bread omg

This might be naive, but I think the idea is to replace your keyboard

  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: [email protected]

~7 YoE, Senior software developer, I worked previously at Runpod, I was one of the first few people hired there – Looking for MLOps/ML finetuning/Computer Vision/Full stack development related work.

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

I work in this field, and I wrote my bachelor's thesis here, not with humanoids but with VLAs (think chatgpt connected to a robot arm)

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)

I generally believe in hanlons razor (assume stupidity rather than maliciousness), it's likely that github saw the easiest possible solution rather than diving deeper into the cause of the problem to fix it permanently

so openai hacked into huggingface?

For people that are like me : This entire text is AI generated, i feel weird reading it personally, i guess others may not

tbf I am not able to understand the erdos problem website, as to why it still shows problems as open even if they've (as claimed) claimed to be solved

I was worried about some messup with taxes (my tax advisor messed up here), I managed to get it sorted on time - this was super naive but in -germany when they send you the taxes they mention the "cents" place as well in a very weird way, I assumed that was the entire number and assumed the tax issue I had was 10x larger than the amount it really was (10x and not 100x as my brain is in a place of pressure due to other circumstances and I wasn't thinking clearly)

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

How do you even estimate that, human productivity is non linear to worktime and often, employees, when given good benefits are likely to be more productive.

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