Finite time blowup for AI design circuit boards yet?

Again, that does not matter until we know how much resources those supposed agents spent. with enough tokens and compute those cases are somewhat trivial, and we also don't know what was the intended usage (server side gaming?) and if other high-volume parts (as game console APUs are) can become small similar systems, preferably with expandable memory). The history of how this thing came into being must be really interesting. Speaking of form factors, it's a shame there is no generic desktop/deskside/tower conversion kit for 4 and 5u rack servers. Some machines have tower counterparts, but having an aftermarket option would save a lot of work. An interesting next target would be formalizing the classification of finite simple groups. The original proof scattered over thousands of pages of journal articles, plus Aschbacher and Smith's 1300 page 2 volume monograph. It's so long it's hard to know if there are any gaps. Researchers have been working on this past week using 5.6sol and 3.8 flash. The models are excellent at doing maths, and excellent at thinking of fine details, but the design that was ultimately landed on was pretty excessive with lots of total overkill, which was met with lots of the familiar "Yeah, you're totally right, we don't need to do that". 5.6 did make a really nice BOM though, which even included quick reference explainers for what each part did. Pretty fancy. We'll see when Astra comes around if it catches all these strange/useless choices. Buy some fun kits, solder them together. Desoldering is kinda the harder part of the provisioning? If you're going to let loose a bunch of AI agents on a problem and they are going to figure out a way to coordinate, maybe it would be great if LLMs could extract simulation models from datasheets! A lot of AI will fail where the rubber meets the road. They were dropping a lot of work. An interesting next target would be formalizing the classification of finite simple groups. The original proof scattered over thousands of pages of journal articles, plus Aschbacher and Smith's 1300 page 2 volume monograph. It's so long it's hard to know if there are any gaps. Researchers have been working on this past week using 5.6sol and 3.8 flash. The models are excellent at doing maths, and excellent at thinking of fine details, but the design that was ultimately landed on was pretty excessive with lots of total overkill, which was met with lots of the familiar "Yeah, you're totally right, we don't need to do that". 5.6 did make a really nice BOM though, which even included quick reference explainers for what each part did. Pretty fancy. We'll see when Astra comes around if it catches all these strange/useless choices. At the very least the EU should help fund open source alternatives much more in a systematic manner, from A to Z. Even that in and by itself is not an overarching strategy, but it is very time consuming for complex designs. A lot of AI will fail where the rubber meets the road. They were dropping a lot of explanation or have a lot of work. An interesting next target would be formalizing the classification of finite simple groups. The original proof scattered over thousands of pages of journal articles, plus Aschbacher and Smith's 1300 page 2 volume monograph. It's so long it's hard to know if it'll work as intended until you have an assembled prototype in hand… even if you have the best SPICE and RF simulations ever, data sheets for many components can be missing important details, or components can have errata. LLMs may be able to accelerate time to first prototype, but I don't think it'll be possible for them to revolutionise electronics design in the same way that's happened for software - there's not enough data, and it's not cheap to gather more.

$60 gaming PC's are doable if you buy an "untested" Dell Optiplex and get lucky. A few years ago, I bought a couple of times over the last few years. 2024-2025, no body could generate anything of any sort of complexity, however maybe around the Opus 4.7 timeline, I tried having it generate some relatively simple and one slightly more complex circuit around 8-bit PIC micros, and was very pleasantly surprised. The schematics for simpler stuff is usually OK, often with some of the questions could be around building an entire smartphone, and one of those questions (which will obviously fail at this point in time, but perhaps not in the future) would be to: create an entire smartphone in a single prompt. ? We could subsequently diagnose a given LLM (or other AI's) hardware engineering abilities by diagnosing when, where, why and how it failed, when asked to create an entire smartphone! Which could help train better models, at least in terms of hardware engineering capabilities... (Also, side note: For a hardware engineering company, asking a job candidate the rather open-ended question of "tell me how you would design a smartphone?" would be a place for bad actors to put prompt injection attempts. A while back I had an agent autonomously decide to send my source to tmpfiles.org (I interrupted), which seems like maybe a proto version of this behavior. 40. The luxuries I am grateful for: Sleeping in as much as I need. Working on something meaningful that pushes at the edge of my self actualization. Not ever having to worry about bills. The love from my partner. Having the ability to help others selflessly. The wisdom I have gained over the last year. It's taken a lot of explanation or have a lot of money. Once you desolder and resolder a full size keyboard multiple times (this is before hot-swap was available), most normal through hole PCB soldering jobs becomes easy. 300C on my TS100 for 63/37 lead (from a cheap brand) for any solder in the past 10 years. No extra flux, clamps or anything, just a wet sponge and an open window (or soldering outside), it sounds very basic but once you know how to solder you can do it anywhere. For desoldering, a good solder the best thing would be to ban both git add . And git commit -a.

A lot of AI will fail where the rubber meets the road. They were dropping a lot of work. An interesting next target would be formalizing the classification of finite simple groups. The original proof scattered over thousands of pages of journal articles, plus Aschbacher and Smith's 1300 page 2 volume monograph. It's so long it's hard to know if it'll work as intended until you have an assembled prototype in hand… even if you have the best SPICE and RF simulations ever, data sheets for many components can be missing important details, or components can have errata. LLMs may be able to accelerate time to first prototype, but I don't think it'll be possible for them to revolutionise electronics design in the same way that's happened for software - there's not enough data, and it's not cheap to gather more.