Comment by klodolph
6 hours ago
What are you doing with TTL logic in 2026, out of curiosity?
(I’m not saying it’s not used, but the only thing I’d use TTL for is building old circuits out of the Forrest Mims books.)
6 hours ago
What are you doing with TTL logic in 2026, out of curiosity?
(I’m not saying it’s not used, but the only thing I’d use TTL for is building old circuits out of the Forrest Mims books.)
Reasonable question and hopefully an interesting answer...
The simple lack of reasons to use TTL logic in 2026 was exactly why I didn't know what the deal was. It'd never come up, but I'd see it referenced.
I'm self-taught and in defiance of the people who insist that LLMs turn our brains to passive mush, the more things I learn the more things I have to be curious about.
LLMs remove the gatekeeping around asking "simple" questions that tend to make EEs roll their eyes. I didn't know, so I asked and now I know!
What was the answer?
I’m just curious at this point about what the quality of the answer is, just because you made a point about LLM use not turning your brain into mush.
I’ve not really used LLMs to answer questions, since it hasn’t gotten me the answers I wanted, but maybe I’m just set in my ways.
I'm actually pretty thrilled that you asked, because I think that this chat is an extremely solid example of LLM usage in the EE domain, and I'm happy to share.
https://chatgpt.com/share/69a184b0-7c38-8012-b36d-c3f2cefc13...
I definitely led some questions to try and squeeze new-to-me perspectives out of it; for example, there could be tricks that make the active high variant more useful in some scenarios.
I think it does a good job of surfacing adjacent questions you might not realize you were eager to ask, as well as showing how it's able to critically evaluate real-world part suitability. I do find that ChatGPT in particular does better with a screengrab of the most likely parts vs a URL to the search engine.