This is 100% the answer, the only solution to the model decay from LLM outputs overwhelming the web is to start collecting data IRL.
This is also why companies like OpenAI are desperately investing in ‘AI wearables’ that no-one wants. They have to get the unpolluted data from somewhere, and recording real conversations will at least mostly have come from actual humans instead of AI.
I’m a software engineer and I’ll discuss it with you, rather than just down voting and walking away.
Your use case for AI allows it to excel. Writing self contained scripts and small pieces of functionality for automation is a great use case for AI, but it isn’t what software engineers do. There is a saying that you won’t have a design problem in a code base under 10,000 lines, then all you have is design problems, and this is what AI is bad at. It can’t maintain or update or extend much larger code bases, and it can’t interpret user vagueries into concrete requirements and features.
For me it is useful for prototyping, and for boilerplate code where I know exactly what I want but its faster to prompt it than to type it all out. I wouldn’t use it for anything critical without carefully reviewing every line it generates, which would take longer than just writing the damn code.
I also have a big problem with the reliance a lot of people are building on AI. Remember how every other service you’ve used goes through ‘enshitification’? This will happen to AI. Once they need to be profitable and the shareholders need to get paid, the features will get worse and the prices will go up, and you will have to pay those prices if you can’t work without it. Just something to bear in mind.
Use it if it’s useful. Don’t become reliant on it. You seem interested in coding, why not try coding something simple yourself? Try looking up the documention to see if you can use your wet brain first, and only go to the AI after. You might find you actually enjoy it, or solve problems faster because you remember how you solved them before.
For playing with, rather than ‘serious’ projects
More than the huge amount of trash floating there? I feel this is missing the forest for the trees
Alternatively, following their logic, keep the number of people and achieve massively higher productivity. But they don’t want that, they want to reduce the number of people having opinions and diluting the share pool, because its not about productivity, its about exerting control.
Sorry but what even is a ‘technical 1v1’?
Unit tests are exactly for code that is often rewritten, because it ensures that whatever interface still behaves the same, regardless of the implementation. This a large portion of the point of unit tests: not for testing the initial implementation but confirming that any subsequent implementation behaves the same.
You’re seeing insufferable people who also happen to use Linux, as insufferable people also like to be early adopters so they can say they are different and therefore better.
There are plenty of super helpful people in the community, and Linux is well past the early adopter phase. The transition from Windows is smoother than it has ever been.
Is this a serious question? Crypto is inherently decentralised and anonymous, from the base technology of the blockchain. The existence of crypto exchanges is directly opposed to its entire thesis as a digital currency, and only exist because people now treat it like a speculative asset and not like money.
Babbage is the creator of the first mechanical Computer (his Difference Engine).
Turing is the father of Computer Science, in that he created a mathematical model for computation (Turing Machines).
This is something I think the ‘you have to use LLMs or you’re falling behind’ crowd are missing. Of course these companies want you to become dependent on their product, and unable to complete basic tasks without it, because then when they slap you with monthly fees and ads and tokens you won’t have a choice but to pay.
Use them if they’re useful, but don’t out source your brain. You’ll need it when the enshittification begins.
Israel does not recognise that there are civilian non-combatants in Gaza and therefore does not allow aid to enter. How about you?
What would you call intercepting someone in international waters and taking them back to your country without their consent? If Somali pirates did that you’d have no qualms using the word ‘kidnapped’.
This is actually not true. You are referring to Artificial General Intelligence (AGI), an artificially intelligent system that is able to function in any context.
Artificial Intelligence as a field of Computer Science goes back to the 50s, and is defined as systems that appear intelligent, not that actually exhibit thinking capabilities. The entire purpose of the Turing test is to appear intelligent, with no requirement that the system actually is.
Rule based systems and statistical models are examples of AI in the scientific sense, but the public perception of what AI should mean is warped by portrayals in science fiction of what it could mean.
S10 E12 (The Doctor Falls) is the end of (Modern) Doctor Who. Such a perfect episode epitomising the character, and closing an arc for one of the longest villains. He even ‘dies’ at the end.
Everything since then has been badly written and purposefully disrespectful to the cannon and the audience, and has wasted so many fantastic actors.
Did the generated code get merged? I’d be curious to see the PRs
If they are only preventing opportunity, the crime will just take place at a different place or time when an officer is not present. The program’s mentioned are aimed at reducing the motive for crime, which applies at all places and times.
Source: vibes
Sorry random internet person let me forward your opinion to my old Computer Science professor and have them update it.
AI as a field goes back to the 50s, long before any concept of machine learning, or what ‘intelligence’ was possible for a computer to achieve.
CNN called it ‘Temu Versailles’ the other day, seems very apt.