They might as well rename it to "This one new threat could kill your family"
8,371 karma · joined January 12, 2012
They might as well rename it to "This one new threat could kill your family"
I assume that the mathematicians outside Anthropic were hoping to publish an actual human-understandable paper. That could be one way to draw line: you can use AI, but you must also have an intelligible explanation at the end.
It really depends on how you define "coding", right? Throughout my career coding meant many different things. In the beginning, coding was really Assembly. Then it became C. Then C++/OOP. Then Java/C# and managed memory languages. Then Python etc.
These languages aren't the same thing with different syntax. The details that matter in the act of "coding" changed dramatically. It really went from "bit thinking" in the assembly era to stitching open source libraries in the Python era. Many would excel in one paradigm but not the other.
Coding with AI requires a different set of skills. I see the proper command of AIs through prompts and human-made specs as hand coding as much as building line-by-line micro algorithms in Assembly.
I think the noise in this discussion comes from putting vibe coding and AI-assisted coding in the same bucket. I'd argue that pure vibe coding is perhaps the one thing that doesn't resemble traditional coding as much. But the AI coding approach where people gradually build applications through the accumulation of components and layers built with heavy AI assistance is hand coding.
I can see that relying on AI assistance for too long could atrophy the skill of manual line-by-line mental model transcription, but I never really cared too much for this skill. Once I have the right data structures and algorithms in my head, actually entering the if, else, class, struct, for, etc statements are a giant annoyance.
Additionally, when it comes to the software field, it will be a sure way of selecting yourself out of the work pool.
In the best case scenario, the mathematicians were standing on the shoulders of the extensive training data from sources that aren't being credited and they may not even have had access to.
I have nothing against these mathematicians because I don't know them. And given that, there's no reason to trust their word any more than OpenAI's.
It's possible the work they were doing, even if related, was a dead end and immaterial to OpenAI's findings. Or maybe they are right and OpenAI stole their work. Who knows the truth right now?
In other words, we need more evidence before making accusations.
This kind of "they stole from me through AI training!" accusation will soon start being used against other AI users, not necessarily the providers.
All it will take is a mastodon post. And shortly after, we will also see the next iteration of copyright legal trolling.
I'm not saying everybody will be fine. I'm saying humanity will be fine because we will figure out how to create a functional world despite the underlying culture like we've always done. Part of my argument is that every generation is full of people saying "this time is different because of XYZ".
I grew up reading and still do it today. But my teen kid, who's a great student, hates reading books. He knows many things but gets all his information from Discord chats, AI and social media videos (and his parents, but he ignores that).
It does sound terrifying. "Grew up reading Gemini". But, at the same time, I think it's going to be okay. Hippies, role playing gamers and punk rockers also terrified parents and most of us turned out fine.
Not too bad, but not great either. If you lower your expectations you may enjoy it more than we did.
But if they instead pout and quit their jobs, nothing changes.
I'd never expected to see commercial entities with a lot of money and political/military connections depending on the weakening of copyright for survival.
For now, the enemy of my enemy is my friend.
Centuries ago, going perhaps only as far as 19th century, much of science was done as a hobby by people who had the smarts and the time (which was a luxury).
Over time, the cost to do science increased gradually. What required just a few hours of free time started requiring many hours. Then money to make small machines. Then big machines... Then it became out of reach for almost any private individual.
Now it's out of reach for anyone who doesn't have data centers full of GPUs, even major universities depending on the field.
It's a boring read. Don't click.
Is it any less competitive now?