AI won’t.
22,067 karma · joined January 10, 2013
AI won’t.
For example, the code base contains a physical controller. It’s closed loop in that it can react in realtime to changes. But it’s a slightly untypical implementation because this one can even look into the future through simulations. But Fable does not understand that. Instead, I need to remind it every 30 minutes that this is closed loop. It keeps wrongly claiming that the controller was open loop and then based upon that it will make up constraints that don’t actually exist.
How do you differentiate from other open source AI CAD solutions? I’ve also had a good experience with Claude Code and CadQuery, which is a Python toolkit for generating CAD designs based on OpenCascade. I.e. what’s your moat?
And given that you’re YC funded .. what’s your plan for millions in MRR?
I’m asking because I would like to launch some useful open source tools myself (but for PIM, not CAD) and I just can’t figure out how to make open source sustainable, let alone profitable enough for hockey stick revenue growth. Any tips? Book recommendations?
And, btw, the bang per buck that I got from OVH was better than EC2.
In the past, I got good results with trying to reduce the variance in entropy in-between tokens, which you can implement very easily by starting with each single character as its own token and then doing a greedy merge of the most numerous outlier token pairs in a loop until you reach your desired token count. https://arxiv.org/abs/2206.12693
I built 3 products from idea to paying customers. So I can help your startup with architecture, implementation plans, and writing specs that you need to keep vibecoding sane. Depending on whether I get into YC (or most likely not, applied with just an idea), I might have free time coming up in the upcoming months.
And I didn’t expect: VR streaming works flawless, too. I just had to buy a WiFi 6 usb dongle.
Remote: Yes (working EU+US remotely since 2014)
Willing to relocate: No, but I travel for kickoffs and on-site work
Technologies:
AI / ML - PyTorch, TensorFlow, custom C++ inference, RL, speech, computer vision
Systems - C++ (NEON / AVX), Python, CUDA, kernel drivers (Win / Mac / Linux)
Distributed - Ansible, Docker, PostgreSQL
Real-time - DSP, vectorized audio, low-latency pipelines
Hardware - PCB design (KiCad / Altium), firmware, FPGA, USB3
Résumé / CV: https://hajo.me/downloads/Krabbenhoeft%20Hajo%20CV.pdfGitHub: https://github.com/fxtentacle
Email: hn (at) hajo (dot) me
Hi, I'm Hajo. 20+ years shipping production systems, 12+ as CTO. I'm a fractional CTO and I offer AI R&D, performance optimization, and due diligence as freelance consulting services. You might know me from:
ImageRights: sole architect, 10+ years in prod. Web crawling stack (5000+ concurrent tasks via Ansible), distributed C++ content-based image retrieval database scaling to billions of web images, all internal AI filters, plus workflow automation. Still running today.
Spatial Audio Designer: sole developer. 500+ channels real-time on 2013 hardware. NEON / AVX-vectorized DSP, plugins for VST / RTAS / AU / AAX, kernel drivers for virtual sound cards on Mac and Windows, ARM port for embedded and VR. Still in use by famous Hollywood studios.
And yesterday, I figured out how to make MSFS2024 run with multi-camera and instrument pop-outs in Proton 11. Understanding the root cause required tracing the full stack from inside the game, through vkd3d, Proton, the host Linux OS, down to the GPU driver.
Ideally, I'm looking for 5-10 days per month part-time projects. Plus I'd love to work on applied AI / robotics.
npm i -g @musistudio/claude-code-router
So it looks like the person who set up this GitHub repository didn’t even make the software that does all the actual work. They also never mention the original author in the README. But, of course, their AI prompt includes instructions to open their homepage, so this is effectively using the AI prompt for indirect advertisement. The HN submission title is also misleading. I didn’t see any maths in the repo.
EDIT: the underlying tool was discussed here on HN 9 months ago: https://news.ycombinator.com/item?id=44705958
Mediocre programmers use AI to write sed one-liners for them and then brag about AI productivity boosts.
And experts just use sed directly and then they wonder why everyone else is raving about AI.
because companies will need
“proof of productivity gains or metrics that show a clear return for all this AI investment.”
which in my opinion is simply not true. I haven’t seen any good study that showed AI to actually improve productivity overall. It massively helps in some areas, but then promptly gets stuck in others. So you still need an expert to guide it.
Also, it appears that >99% of feminism researchers are publishing their scientific papers with a feminine name. I can easily understand why the general public might confuse the 2 groups with each other.
Which brings me back to the question: what do you think the authors hope to gain by invoking this association? Especially now that we have established that their word choice is highly likely to be misunderstood?
“FEMINIST HACKING: BUILDING CIRCUITS AS AN ARTISTIC PRACTICE – an international art-based research project financed by the Austrian Science Fund (FWF)”
Doesn’t that kind of invite the worst type of trolls? They seem to imply that feminist = artistically produced, as opposed to professionally produced PCBs. So masculine = professional? But clearly that wasn’t their intention?
China: We need to build this useful thing and then later let’s try to make profits, too.
Thiel lacks confidence in the Trump regime and is fleeing from the US.
Technically, AI Lora is surprisingly similar to how fake echo based on reverb IRs works in real time audio processing.
But secretly, I think it’s all just the super fresh high quality beans that you can buy in Vietnam. They cultivate a regional variant of arabica in their highlands. And even using a standard Bialetti Moca cup produces exceptional results with that coffee.
JetBrains has a deterministic non-AI function for that refactoring. It'll usually finish before your AI has finished parsing your request and reading the files.