91–100 of 415 posts
Earlier quoted context omitted.
If you make developers 50x more efficient, won't you need 50x fewer developers?
>If you make developers 50x more efficient, won't you need 50x fewer developers? Developers today are 50X more efficient than when they had to input machine code on punched tape, yet the number of developers needed today is far larger than it was in those times.
This seems to have a narrower scope than GitHub Copilot. It generates more lines of code to a more holistic problem vs. GitHub Copilot that works as a "more advanced autocomplete" in code editors. Sure Copilot can synthesize full functions and classes but for me, it's the most useful when it suggests another test case's title or writes repetitive code like this.foo = foo; this.bar = bar etc... Having used Copilot I c…
Having used Copilot for a while, I am quite certain it will replace me as a programmer. It appears to me that when it comes to language models, intelligence = experience * context. Where experience is the amount what's encoded in the model, and context is the prompt. And the biggest limitation on Copilot currently is context. It behaves as an "advanced autocomplete" because it all is has to go on is what regular auto…
We have AI to generate reasonable code from text problem description.
Now what if the problem description text is to generate such a system in the first place?
Would it be possible to close the loop, so to speak, so that over many iterations:
- text description is improved
- output code is improved
Would it be possible to create something that converges to something better?
Relevant blogpost on codeforces.com (the competitive programming site used): https://codeforces.com/blog/entry/99566 Apparently the bot would have a rating of 1300. Although the elo rating between sites is not comparable, for some perspective, mark zuckerberg had a rating of ~1k when he was in college on topcoder: https://www.topcoder.com/members/mzuckerberg
The median rating is not descriptive of median ability, because a large number of Codeforces competitors only do one or a few competitions. A very small number of competitors hone their skills over multiple competitions. If we were to restrict our sample to competitors with more than 20 competitions, the median rating would be much higher than 1300. It's amazing that Alphacode achieved a 1300 rating, but compared to…
I am rated at 2100+ so I do agree that 1300 rating is low. But at the same time it solved https://codeforces.com/contest/1553/problem/D which is rated at 1500 which was actually non-trivial for me already. I had one wrong submit before getting that problem correct and I do estimate that 50% of the regular competitors (and probably the vast majority of the programmers commenting in this thread right now) should not be able to solve it within 2hrs.
Earlier quoted context omitted.
If you make developers 50x more efficient, won't you need 50x fewer developers?
>If you make developers 50x more efficient, won't you need 50x fewer developers? Developers today are 50X more efficient than when they had to input machine code on punched tape, yet the number of developers needed today is far larger than it was in those times.
Hundreds of people manually writing assembly and paid middle class wages. Not a compiler in sight.
In the years leading up to the singularity I’d expect to see a lot of Graeberian “Bullshit Jobs”.
Everyone knows they’re BS but as a society we allow them because we aren’t willing to implement socialism or UBI.
Calling it now: If current language models can solve competitive programming at an average human level, we’re only a decade or less off from competitive programming being as solved as Go or Chess. Deepmind or openAI will do it. If not them, it will be a Chinese research group on par with them. I’ll be considering a new career. It will still be in computer science but it won’t be writing a lot of code. There’ll be sev…
Earlier quoted context omitted.
Having used Copilot for a while, I am quite certain it will replace me as a programmer. It appears to me that when it comes to language models, intelligence = experience * context. Where experience is the amount what's encoded in the model, and context is the prompt. And the biggest limitation on Copilot currently is context. It behaves as an "advanced autocomplete" because it all is has to go on is what regular auto…
I have a feeling this is the correct read in terms of progression. But I'm skeptical if it'll ever be able to synthesize a program entirely. I imagine that in the future we'll have some sort of computer language more like written language that will be used by some sort of AI to generate software to meet certain demands, but might need some manual connections when requirements are hazy or needs a more human touch in t…
Emotional skepticism carries a lot more weight in worlds where AI isn't constantly doing things that are meant to be infeasible, like coming 54th percentile in a competitive programming competition.
People need to remember that AlexNet is 10 years old. At no point in this span have neural networks stopped solving things they weren't meant to be able to solve.