Today we needed to migrate to a cheaper CI/CD provider and do a better robotic for a particular task. GPT-5.6 Sol.

But most importantly, our agents will have context overflows and more hallucination due to, well, context overflows inherent with MCPs.

So far, everything goes against us solving this problem - pretrain data is basically inexistent (no abundance like in NLP/computer vision), there are fundamental gaps in research in the area - e.g. there is no way to encode engineering-level physics information into neural nets (no specialty VAEs/transformers oriented for it), simulating engineering solutions was very expensive up until recently (there are 2024 GPU-run simulators which run 100-1000x faster than anything before them), and on top of it it’s a domain-knowledge heavy ML task.

I’ve fell in love with the problem a few months ago, and I do believe that now is the time to solve this problem. The data scarcity problem is solvable via RL - there were recent advancements in RL that make it stable on smaller training data (see SimbaV2/BROnet), engineering-level simulation can be done via PINOs (Physics Informed Neural Operators - like physics-informed NNs, but 10-100x faster and more accurate), and 3d detection/segmentation/generation models are becoming nearly perfect. And that’s really all we need. I am looking to gather a team of 4-10 people that would solve this problem.

The reason hardware engineering is so important is that if we reliably engineer hardware, we get to scale up our manufacturing, where it becomes much cheaper and we improve on all physical needs of the humanity - more energy generation, physical goods, automotive, housing - everything that uses mass manufacturing to work.

Again, I am looking for a team that would solve this problem: 1. I am an embodied AI researcher myself, mostly in RL and coming from some MechE background. 2. One or two computer vision people, 3. High-performance compute engineer for i.e. RL environments, 4. Any AI researchers who want to contribute.

There is also a market opportunity that can be explored too, so count that in if you wish. It will take a few months to a year to come up with a prototype. I did my research, although that’s basically an empty field yet, and we’ll need to work together to hack together all the inputs. I have also a created RL environment that could be used for training (currently closed-source).

Let us lay the foundation for a technology/create a product that would could benefit millions of people!

Comment if you want to join/mail me to maksymriabov2004@gmail.com. Everybody is welcome if you have at least published a paper in some of the aforementioned areas.

Comments URL: https://news.ycombinator.com/item?id=44541074

Points: 1

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Edit: whatever, I'll pay for it.

I thought that I would retail the machine for 1.5k

So after I did, I decided that... I want to work on something even better, and for the last year I've been working on another project. I was a SWE before, so it was software.

Anyhow, I'm now faced with a decision to pay for the full patent - 3.5k€. I'm 20, so for me that's substantial cash. I have been full-time on payless entrepreneurship for 3 years, so that's half of what I have.

So, lads and gentlemen, technically this is a project that can easily make hundreds of millions for anyone who holds it: the mass-manufacturing price was estimated to be €450 (I really tried to optimize it), so that's 2/3 net excl tax.

But then, I'm doubtful - I have never actually manufactured the device. Plus, the latest version that was actually small needs 1-2 months of polishing. And will anybody even purchase it? From companies. Of course I had a great feedback from potential users.

I'm thinking of going to electronics companies like Bosch or similar to license, though... I don't know. It will take time, and for me, I'm working on something else.

I'm attaching the text for the patent application above. What do you think? Note: I've since redesigned the machine to be 5x smaller by removing some unnecessary components, though the patent is still valid.

There is a competitor company, thermomix.com that makes $1.9bn annually selling a device that can do 3x less than mine (can only mix automatically) and they also sell it for 1.5k. chefee.com has similar functionality, but their stuff costs $30k and takes an entire kitchen. So I'm both better and cheaper.

Cheers.

Comments URL: https://news.ycombinator.com/item?id=44317971

Points: 3

# Comments: 3

Comments URL: https://news.ycombinator.com/item?id=43673411

Points: 2

# Comments: 0