https://github.com/mamedev/mame/blob/master/src/devices/cpu/...
The first one has a legendary backstory. 2 devs snuck into Apple after their project was canceled: https://www.pacifict.com/Story/
Curvus Pro: https://macintoshgarden.org/apps/curvus-pro
Perhaps it blocks any non-USA connection.
Seems we can conclude it may or may not work in Spain, maybe depending on the ISP? I'm on Vodafone FWIW.
I actually write prompts like that when I'm not under pressure. Claude will sometimes completely ignore your feelings, and sometimes give a little comment, which I just find refreshing in the middle of otherwise often boring sessions. And it does not have an effect on the actual result.
Also, please try not to anthropomorphize LLMs, they hate it when you do that.
The training set is about patterns, not facts or specific configurations. Yes, it’s possible to extract (some) of the training set verbatim, but that doesn’t mean it’s all you can do.
Humans rarely think of new things. We're a weak hivemind species. One or two individuals figure something out, and the rest of the troop of monkeys imitates. Brains are too fuel hungry for every brain to be innovating, "innovate and copy to the other brains" is the norm.
Modern man has grown quite dumb. He only seems to be able to "invent" by massive scaling things that are decades or centuries old..
Fire? The wheel? Archimedes screw, maaaaybe?
Electricity runs from simple batteries (600 BCE) to today’s power grids.
RF was predicted but not demonstrated by Maxwell in the 1860’s. His work built on Faraday’s (1840’s) and Coulomb’s (1780’s). Coulomb built on Franklin and Newton, among others. Or do you mean Marconi and Tesla, who merely implemented what Maxwell predicted?
The same is true for lasers and transistors but it’s tedious. There was no single “back in the day people invented things from whole cloth” moment.
When LLMs were first introduced, they didn't have much of a feedback loop. They wrote code, but they couldn't compile it. Not surprisingly, the code had bugs.
Now, they run with harnesses that allow them to compile the code, and react to the issues they observe. They can fix their own bugs and solve problems that they create, just like humans.
Give an agent access to the physical world, and it seems highly likely that they will be able to "invent" things based on feedback they receive while working towards goals.
Of course, there are some well-known limitations of LLMs, one of the biggest being that they're pretrained. So there may be some things where they're not as good. Just like how some humans aren't as good at certain tasks, depending on their genetics and/or how they've been trained.
I was pointing out two things: first, your understanding of LLM capabilities is very outdated; and second, that in this respect, you're behaving much like an LLM with a training cutoff.
That further touches on the idea that the differences between you and an LLM may not be as large as you imagine. In particular, "cobbling something together if it's in their training set" is pretty much what all humans do.
Coding (programming) is a tedious and expensive part of software engineering. There's other parts AI isn't doing, such as understanding and refining requirements, and delivery + accountability.
Why is that? Coding, for me, is kinda relaxing, and the fun part of developing software. Gathering requirements, especially in a corporate settings, is the tedious part and the most time consuming.
It will be bittersweet when there's no human needed at the wheel but IMHO we are far, far from that. These models/agents are just mimicking human text and need guidance because they often get lost or stuck.
Yes there is still human input but it requires comparatively no skill or depth and it gets easier by the month. If I were lobotimized today I'd still be able to function as half-assed architect to AIs anyway.
When was the last time you read fighting distractions/getting "in the zone"/complaint about open space offices thread or comment? They used to be a weekly feature on HN frontpage.
Hard doubt, software engineering is so much more than just literal coding and typing. At least for many of us, the coding/typing part is the easy stuff, everything around that is where the actual engineering happens. If I were lobotomized, maybe I'd get ~10% done today as the day before, if I'm lucky. Even with my full mental capabilities, the agents end up on wild goose-chases unless I'm very specific with what I want, and even sometimes ignoring things if they're too complicated/takes too long, so a bit of thinking is still required to get the right prompts.
And considering how subjective programming is, since it's a creative endeavour after all, I'm not that worried somehow all programmers will be unemployed in just some years.
> When was the last time
Frequency of something doesn't tell you how big of an issue something is, for all we know, HN community (or even the moderators) could have been tired of all the circular conversations where nothing new is being said, and downvote it. Doesn't really tell us much.
But creating software is much more than that. Just like writing an essay involves more than just typing words. Other activities include: Architecture, Requirements analysis, Debugging, Testing, Integration,…
It’s as if a runner were to give up running when beaten by a horse or a car. It suggests they may have had unexamined and perhaps somewhat strange reasons for doing the activity in the first place.
People have difficulty accepting just how significant their limitations actually are. We design our world to hide those limitations. As an example, it would be easy to make computer games that are unwinnable by humans because of our slow reaction times, low speed in general, and our cognitive limitations. But no-one makes such games, because few people would want to play them for very long.
The “terrible cost” in this specific case seems to be related to discovering that we were fooling ourselves about how good we were at software development.
- "ha" sound -> J
- silent -> H, sometimes LL
- "yu" sound -> LL
- "v" sound -> B
La Jolla -> "Lah Hoya" (English phonetic).
Vallejo -> "Baiyeho" (phonetic), though the north-bay California town is often pronounced "Valayho" by locals. "Vallay-joe" is a sure sign of a non-native.
I have it on good authority that mail addressed to "La Hoya, CA" will in fact reach its intended destination.
* https://www.youtube.com/watch?v=pJ4Ol9Tb1D0
* https://en.wikipedia.org/wiki/Terminator_2:_Judgment_Day
The future seems more like Blindsight [1]: hyper-intelligent, completely unconscious systems outperform, out-manipulate, and out-compete human beings purely through automated efficiency.
[1] https://en.wikipedia.org/wiki/Blindsight_(Watts_novel)
Did it? I thought Skynet was a defense system trained to see humans as enemies, it just worked by design, like HAL 9000. Screamers became self-aware.
It felt like he tried to jam way too many story threads into what is a reasonably short book too. The vampires are a good example of that.
A strange claim. Why do you think that?
> The future seems more like …
Oh, so Terminator failed because it didn’t match a different fictional speculation about the future?
Except for the titular event not happening!
This is considering the effects were done in 1990.
Edit: a lot of what people think is CGI in T2 is actually NOT.
https://www.facebook.com/StanWinstonSchool/videos/bullet-hit...
There was a lot of cartoon animation done by hand in the 1930. Frame by frame drawn, far superior to modern animation. However the styles are different, and some prefer one style of animation over another.
https://www.reddit.com/r/Damnthatsinteresting/comments/1q986...
I've just noticed in the 'full version' linked to in the reddit comments, it's a poorly done 480i -> 480p, and the interlace fields are reversed.
If you watch the panning in the original star-scape at the start of the video, you'll see it jittering back and forth as it pans. Sad. If properly converted to 480p, that scene would be super-smooth too.
(It's less apparent elsewhere, unless there is side-scrolling)