What most AI model users don't understand is (most here will know) that they are probabilistic (statistically based) and not deterministic (static/fixed).
So answers to the same prompts can vary (wildly sometimes)
I agree there... I hate the posts that rattle on about non-real-world work. Real world now (for me anyway) is maintaining legacy code, fixing issues, and new development. Now, some of the problems others have with AI are super crappy prompts with no real info other than "do this". I look at myself now more as a software designer and an architect, and the AI as a paid consultant. I give detailed specs and designs. The models are getting better at real deep code and legacy, but there are still holes. BUT give the AI a fighting chance with real detail in the prompts.
Yeah, I do this as well. Some of the last large tools I built have been started with Gemini (I get it with my Google package), and even one with Copilot.
I stopped using any of the built-in skills and skills agents and tried to keep things in the model only, and that seems to work better for token usage for me. It took me some time to tune my skills .md, but it rocks on now. I use them all in both Claude-code and Codex. I will say, GPT is better on token usage than Claude is, but for some of my code bases, Codex is not as good, but seems to be getting better with 5.6-sol.
Yeah, I wondered about seacraft reactors myself. I think there are many safety allowances for DOD vs. DOE. The DOD reactors are not publicly accessible (you hope anyway), and the data centers will be in and near the public. There are also major security measures that have to be taken for reactor sites. You have armed personnel before you even get to the reactors, and then the entrances are sometimes close to one mile away from the reactor. Once there, the number of guards and bang-bags goes up. The modern sites kind of look like they have small henges around them (back to the neolithic!) :)
Well, you do have to move a lot of earth and pour A LOT of concrete :) Many steps have to be x-rayed, and many other tests done before other steps can be started. Every weld is checked and, all internal and external concrete is cured, treated, and verified. If anything is wrong, it has to be fixed in place (if possible) or removed and redone. It's a slow process and should be for many steps.
One of the big issues that have occurred (in the US especially) is, that for 20+ years there were no new plants built. This caused a large void in the talent pool, inside and outside the industry. That fact, along with others has caused many problems with some projects of recent years in the US.
I work in the sector and it's impossible to build a full-sized reactor in less than 10 years, and the usual over-run is 5 years. That's the time for tried and tested designs. The tech isn't there yet, and there are no working analogs in the US to use as an approved guide. The Department of Energy does not allow "off-the-cuff" designs for reactors. I think there is only two SMRs that have been built, one by the Russians and the other by China. I'm not sure they are fully functioning, or at least working as expected. I know there are going to be more small gas gens built in the near future and that SMRs in the US are way off.
Small or modular reactors in the US are more than 10 years away, probably more like 15-20. These are facts and not made-up political or pipe-dreaming techno-snobes.
I created a local-only web app to wrap up some of my favorite web haunts, with HN being one of them. It allows me to look at the headlines, and save any of them in a locale SQLite db that the app maintains.
Is a web search worth the added power requirements? In the USA, limits are being placed on AI use in data centers due to the lack of generation to cover it all.
It's funny. In 2019 I did a couple of larger personal orders for play and upcoming projects. I got @50 STM32 (a few different), and 25 Giga RISCV chips. The order was a less than 250$USD for the uC's, some memory, and logics.
I use them sparingly now, and try not to goof them up!
I have noticed that past few months that many smd discrete components are very low in number at many suppliers. You will see quantifies of less than 10k (a reel) of 402 package resistors. I feel that many OEM's are hording both CPUs, uC's and other support semiconductors as well as some of the common discretes.
