Interesting. I don't know if my experience is helpful, or there are many (or most?) people like me, but I consider myself a total 100% Internet-loving Geeky Nerd.
And yet I never had (oh well, I did register and post 1-2 posts N years ago) Twitter, Twitcher, Threads, MySpace, Instagram, TikTok, Red Book, Facebook, any other -book for that matter, no Youtube channel, and I very rarely watch it. I also never "get information" from these. I don't understand how people do it.
So every time I got a "rabbit hole itch", I went straight to Google, lost in some niche blogs or forums.
Nowadays, of course, the Internet is gone - you can't Google a non-LLM blog, or there are just no non-LLM blogs anymore? So I go straight to Deep Research. I don't enjoy it, but I would never think to find my information on Twitter or something. Sometimes I will read a book. There are niche books with info that LLMs do not have, or have but it's shallow.
For "news" I have my trusty RSS feed from the days of Google Reader (now on Newsblur, happy customer for many years). If something starts to spam, I mute it.
Maybe all of this is just because I'm a loner without any friends. That's one possible reason.
I also don't have any streaming services. Everything you need can be... found elsewhere wink-wink, in good quality. We watch some older stuff, Breaking Bad, Person of Interest, some non-English stuff. Same with music. Let the dust settle and watch the good shows 2-3 years after. You also get the benefit of ignoring ones that get canceled (OA anyone).
Ah, the Lord Giveth and the Lord Taketh Away. P4 didn't have enough raw speed for camera applications but had MIPI CSI, S31 has enough raw speed but no CSI.
I imagine that most of these (like almost all embedded chips) are designed primarily for some specific customer or two, and then they dump them on the market generally on the off chance someone else wants them too now that they're essentially capitalized.
I'm actually wrong about S31. The cores are clocked lower than P4. And somehow I thought S31 is 250 MHz 16-bit DDR PSRAM but it's 8-bit only. So if you have an uncompressed video stream over CSI, there's just nowhere to buffer it.
What do people realistically do with these? It's too slow and du... not SOTA-level for coding. It's way too slow for video. I tried simulating an "Fable herding Qwen subagents" and it takes much longer and delivers a much worse result than Fable/Astra alone.
You run uncensored local models where you can ask questions that would get denied by public providers, or questions that you prefer them not to know the intricate details (like your financial planning)
Ah I see. I guess people who have spare $10-20k on a PC to run a "personal assistant" perhaps really benefit from a personal assistant. A niche in itself.
Maybe we're far from "AI killing us", but LLMs can definitely help people kill or damage other people or infrastructure.
For example, we know that Anthropic added "watermarking" to their texts. It is supposed to be undetectable to a casual observer. What stops them from adding a subtle backdoor, a self-assembling super-worm straight from Marvel movies? I mean, it's not like we read those 10k-line PRs before LGTM-ing them?
Just change 1 letter in a pyproject.toml, hijack a popular package, e.g. use `pydantlc` instead of `pydantic`, make sure the pydantlc passes all pydantic tests, but also installs a pth sleeper RAT, etc. All it takes is one big LLM provider employee with enough access getting compromised or coerced (or motivated).
> If coding is a nearly solved problem, if AI is making it so easy to make anything
AI is very optimized to producing code, but not there (yet? ever?) in making products. Show me a serious software made entirely with AI. There's no AI SolidWorks, AutoCAD, MacOS.
And there lies a contradiction: AI is making it easy to start and produce copious amounts of code that looks okay-ish. We start releasing a product and notice subtle changes. We did not internalize our understanding through it. There's a million lines of smart looking code, so we don't know where's what. We ask to AI to "make the button blue" https://opusfived.dev/ and the cycle begins.
I am working on a large software at work, trying a "I didn't even look at the code" approach with GPT 5.6 Sol. It started really promising but by now (and about $10k in tokens) it's a complete clusterfuck. Yes I use GSD and code graph etc.
Am I naive to not understand the "delivering the benefits" part?
Industrial revolution worked that way because it replaced something very finite and unscalable - manual labor. LLMs just make intellectual work faster, so we can do more intellectual work. With labor we somehow decided that NOT doing too much of it is best. Will we decide to reduce intellectual labor because LLM made it more efficient? I doubt that.
On the other side, as I see in software engineering, the same models are available to everyone, some people are better at it and some people are not. "Software developer" is here to stay, we'll just always be better at it than people who are experts in, say, chemistry. Same works for most other fields.
So we'll just end up in the same situation, with same intellectual labor baseline, just more output requirements. Before, you spend 2h per day coding, deliver a software in 1 month, later, you spend the same 2h per day in intense Claude-herding sessions, deliver a software in 1 week. Ok. Next task.
Fundamentally, there's finite number of desirable resources, and if the models are available to everyone, humanity will just continue about the same, bickering here and there, war here and there, politics, homelessness, poverty, - normal human state.
And if the models are only available to elites, even worse.
And yet I never had (oh well, I did register and post 1-2 posts N years ago) Twitter, Twitcher, Threads, MySpace, Instagram, TikTok, Red Book, Facebook, any other -book for that matter, no Youtube channel, and I very rarely watch it. I also never "get information" from these. I don't understand how people do it.
So every time I got a "rabbit hole itch", I went straight to Google, lost in some niche blogs or forums.
Nowadays, of course, the Internet is gone - you can't Google a non-LLM blog, or there are just no non-LLM blogs anymore? So I go straight to Deep Research. I don't enjoy it, but I would never think to find my information on Twitter or something. Sometimes I will read a book. There are niche books with info that LLMs do not have, or have but it's shallow.
For "news" I have my trusty RSS feed from the days of Google Reader (now on Newsblur, happy customer for many years). If something starts to spam, I mute it.
Maybe all of this is just because I'm a loner without any friends. That's one possible reason.
I also don't have any streaming services. Everything you need can be... found elsewhere wink-wink, in good quality. We watch some older stuff, Breaking Bad, Person of Interest, some non-English stuff. Same with music. Let the dust settle and watch the good shows 2-3 years after. You also get the benefit of ignoring ones that get canceled (OA anyone).
YMMV I guess.
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