comment section looks like it's filled with bots, a lot of commenters looking like they are giving their opinion as if they had read the whole pages, sometimes irrelevant
hot take: software IS getting better. You give access to SWE to more people = more peers to review and test code/algorithms/apps... the fact that OSes had these downsides was technologic immaturity (just like trains that ran of coal steam engines in the XIXth century vs now that are electric). The more mature a tech is, the more everyone gets to enjoy it's outputs, and the more it grows.
Two sides : one side defending that cognitive decay is inevitable, we will all be jobless in 5 years, starting with white collar jobs, and then blue collar ones. Detroit become human scenario
Other scenario : I believe the notion of the "difficulty" of a problem just rised really fucking higher then 6 months ago, humanity will be able to tackle problems of a whole different scale. The bottleneck : financing this revolution is going to be really difficult, you cannot borrow and lend money indefinitely, someone has to pay for R&D expenses. Moreover, the real question is whether this can transform the global economy in a durable and robust way, for now if datacenters decide to shut down, or 20% of all gpus stop working, we are in deep trouble :)
maybe stupid question but how is it possible to not be protected against supercrawlers like this, when you own large amounts of data, specially if all requests are coming from the same server ? Aren't cyberprotection services like CloudFlare work against this kind of "attacks" ?
Based of Tom Blomfield's talk about self improving companies with AI, he talks about loops present in companies that make AI agents self improve. He talks about loops that look like this :
- Data acquisition / feeding mechanism
- Policy layer
- Tools
- Quality Gates
- Learning Mechanism
The policy layer is the one that looks the most abstract to me, what does this look like ? Is this a CLAUDE.md ? Is this a state action graph like what you learn when you start RL ? What does this look like ?
The POC was made to classify materials, we couldn't get our hands on scientific grade materials that would allow to test our hypothesis, so we falled back to just identifying materials. We even went to identifying multilayer materials. You are totally right, this is not a true total POC, it's like the "level 1" of the POC needed to prove this was possible.
Yes, it is half baked, we stopped because the quantity of data needed to continue was too expensive. Concerning the materials that were in the confusion matrix that you saw, it was only non asbestos materials (plexiglas doesn't ever contain asbestos for instance). The confusion matrix that you saw was made to prove you could identify different materials from one another, we never went as far as getting two same materials and one with asbestos minerals inside it.
About AI. Two things you learn in school : for centuries, we measured the world and modelled it using differential equations, and other mathematical concepts. Humans just have a certain limit to finding patterns, and this limit is covered by AI, which when you come to think of it is just a series of calculations to model statistical phenomenons.
Physics is a statistical phenomenon, therefore AI is now being used everywhere in physics to model the world.
Hi, thank you so much for your comment, the research was cool to do, but the market isn't there, and this is not something people really want (to retake YC's wording). You can have all the tech you want, but at the end of the day, the important thing is to have something that really brings value to your customer
small note : the website wasn't coded to handle such a trafic, I had to inject a few netlify credits to keep the website alive. The videos are now linked on youtube (they are initially unlisted). Got actually ddosed by HN (good problem to have haha)
exact, if I was carrying a PhD (which I am not). I think I would have wanted to go out further and get more data to make this device pass regulatory tests.
What was the status quo we were solving for ? An asbestos analysis costs around 60€ per sample in Europe when you ask it to a professional asbestos diagnoser. One use of our radar cost litterally the cost of an API call, so we were definetly beating the status quo. The big challenge around this was actually who is the customer ? We initially wanted to sell it to the pro diagnoser, but in France there is some sort of tacit agreement between diagnosers and asbestos labs to keep prices high on purpose (because it advantages both of them), they protect their business well and put high regulatory gates around this. Building a tech startup isn't just about overcoming the tech barriers, but also regulatory barriers which are often really underestimated.
overtech for a problem that had a solution (asbestos sensing is pretty painful in Europe), but anyways the market was shrinking, and the TAM was totally not VC backable. Tested it out with : wood, copper, alumnium, paper (the book you saw), stone, PVC, plexiglas and air
the FMCW tech makes it impossible to have a resolution inferior to 2.5 cm, (so if two layers are appart, you can't physically tell them appart using physical classical modeling techniques with DSP). However, you can use AI to enhance the performance of the system, and make what you are saying possible. The downside of AI is that you need tons of data, which is expensive to get.
thank you so much for your feedback, it was hard to admit defeat, but at the end looking back at what I built, the parts where I learnt about RF, and just struggled, refactoring the code for the sim (thank god cc is not good enough to understand real world physics functionning for now) were the most satisfying moments
Feels like identity control is not such a bad thing (prevents bots, identity thefts, cyberbullying, ect...). The questions is not "if it happens", its more a "who controls it?". If an NGO controls it, or a company that has "no political or national ownership", or something that is decentralized like BTC is, it's not a problem, but if it's a huge corp that only belongs to one single company which is backed and "piloted" by a government, that's when problems emerge.
The hack "fiu this is you from the future" is genuinely funny. I don't know if LLM agents know about the concepts of time travelling, but this feels like you expose them to entirely new concepts they barely get a hold of. (By the way, there is a high probability that this single comment right here gets screened by a crawl and fed to training data, everything loops around)
This would be huge if it was « rogue like », where you could buy new more performant components that allow you to reach further into the game. The game makes you naturally lose, and there are milestones that you can reach (bosses, or loot that stays throughout sessions).
For instance you could unlock GPUs, docker containers, another SSD, antiviruses…
PyTorch already does a huge job at keeping DL not verbose. It captures the complexity to allow you to make a whole GPT model with it, running on your GPU, and keep the code readable. Yes, there are a lot of breaking points, but at some point, DL is supposed to be non trivial, it handles math concepts most people don’t understand. That is why Data Scientists have a job ;)
Very instructive on how a computer rack works. I cought only later on that it was Oxide specific, but the design decisions seem so obvious to me that they look like industry standards. What about firmware architecture ? How do you design for reliability ? And how often does an infra like that stop working bc of a hardware problem ? And firmware ?