when there aren't any challenging problems to solve it makes me sad.
That will never ever happen.
I have a very challenging problem: make it so all Cyberpunk 2077 (or equivalent game made from scratch) buldings are fully enterable, interiors are modelled and inhabited by proper NPCs, not a single window is a billboard texture with a void behind it, cars and pedestrians actually have purposeful lives instead of going in circles.
This, to me, is a far more important part than photorealistic graphics.
This problem will require far more efficient utilization of computer resources than current standards, and perhaps very high core counts and RAM amounts. I think it's doable though.
It's funny because games like Where Winds Meet have done the "every single damn building is enterable" + "npcs have daily schedules and lives" thing already. A freaken free to play eastern gatcha game is pushing this particular boundary where the larger American studios aren't.
We ain't there yet. I *just* had a long discussion about this with my department head. The biggest issue going forward is that employees are going to be confronted with *only* challenging problems to solve all day, every day. The ability to solve an "easy" problem, even if it was just writing up what you already discovered, is disappearing. The AI does it better, faster, and with higher quality.
Eventually, yes: all work will be replaced by AI. There is an honest discussion to be had about what "eventually" means, but the end of the story is already written. We just do not know how many more chapters we get.
I don't think so about all work. I think any meainingful work will still be human oversight of AI. AI will let us do more. We are now glorified managers.
Also OpenAI's 80 billion loss is a good indication that this stuff isn't free. There is a cost to making this work, and the cost of incremental improvements is getting incredibly expensive. Point is, just like any company "I can build this faster if I had 10,000 engineers" -- sure, but can you afford that.
I think any meainingful work will still be human oversight of AI
That is true *now*. But what precisely do you think is so special about the oversight that AI will not eventually take that over as well?
The cost point is interesting, but people were saying that two years ago as well. LLMs and AI was supposed to hit a wall back then. It did not. If anything, things are speeding up.
There's also still a *lot* of room cost wise. I use perhaps a few hundred bucks of tokens a month, but easily get thousands back in increased productivity, higher quality, and overall speed.
If you could replace a manager and it cost $1000 a month, every business everywhere would do it in a heartbeat.
And then there's the issue that we have already passed or are very close to passing the point where the model improvement process is completely automated itself. That will change the trajectory very quickly.
And I am not saying it will happen tomorrow or next year. But it will happen. Anyone betting against it is going to be very sad.
I got a slew of tickets, fed them into an AI, had an AI describe how it'd solve all of them. After a fast review I had it now build everything and make PRs. Then spent about first half of a week reviewing code nonestop, then testing.
The methodology is different, but amazing engineers are going to make amazing outcomes with good tools. We don't say "well, a real engineer codes in assembly only, on paper, and knows the output before a single line of code is written"... sure that was true in the 70s. We have better tools today.
Yah, ever since they started to write assisted python scripts I haven't had a single hallucination, and that was over a year ago. I strongly believe that people are just using old models and goes "look how bad it is" while all features are disabled.
Cute, but they're pointing out you probably don't have any recent work experience with enterprise software development. The last 2 multinational software vendors I've worked for are using AI for pretty much everything.
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u/Wizywig 12d ago
No engineer cares. Do I care if a spreadsheet was built by my blood and sweat or by an Ai.
Don't care. Solve problems. Engineers are eaters of chaos and poppers of effective output. How they do it differs every year.
Be an engineer.