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Do I understand it correctly that it generated (in the end) ten solutions that then were examined by humans and one picked? Still absolutely amazing though.
Earlier quoted context omitted.
I agree, I expect programmers will just move up the levels of abstraction. I enjoyed this recent blog post on the topic: https://eli.thegreenplace.net/2022/asimov-programming-and-th...
The "problem" is that as you move up the levels of abstraction, you need fewer people to do the same amount of work. Unless the complexity of the work scales as well. I've always felt that programmers would be the first class of knowledge workers to be put out of work by automation. This may be the beginning of the end for the programming gravy train.
Do I understand it correctly that it generated (in the end) ten solutions that then were examined by humans and one picked? Still absolutely amazing though.
No human examination was done. But it generated 10 solutions which it ran against the example inputs, and picked the one that passed. Actually I'm not sure if it ran the solutions against the example inputs or the real inputs.
Earlier quoted context omitted.
I agree, I expect programmers will just move up the levels of abstraction. I enjoyed this recent blog post on the topic: https://eli.thegreenplace.net/2022/asimov-programming-and-th...
The "problem" is that as you move up the levels of abstraction, you need fewer people to do the same amount of work. Unless the complexity of the work scales as well. I've always felt that programmers would be the first class of knowledge workers to be put out of work by automation. This may be the beginning of the end for the programming gravy train.
How suprising did you guys find this? I'd have said there was a 20% chance of this performing at the median+level if I was asked to predict things beforehand.
Earlier quoted context omitted.
I agree, I expect programmers will just move up the levels of abstraction. I enjoyed this recent blog post on the topic: https://eli.thegreenplace.net/2022/asimov-programming-and-th...
The "problem" is that as you move up the levels of abstraction, you need fewer people to do the same amount of work. Unless the complexity of the work scales as well. I've always felt that programmers would be the first class of knowledge workers to be put out of work by automation. This may be the beginning of the end for the programming gravy train.
Between this and OpenAI's Github Copilot "programming" will slowly start dying probably. What I mean by that is that sure, you have to learn how to program, but our time will be spent much more on just the design part and writing detailed documentation/specs and then we just have one of these AIs generate the code. It's the next step. Binary code Historically its always been about abstracting and writing less code to…
Creating a higher level abstraction is something people have been trying to do for decades with so-called 4th-generation languages. At some point, abstracting away too much makes a tool too cookie-cutter, and suddenly deviating from it causes more difficulty.
Between this and OpenAI's Github Copilot "programming" will slowly start dying probably. What I mean by that is that sure, you have to learn how to program, but our time will be spent much more on just the design part and writing detailed documentation/specs and then we just have one of these AIs generate the code. It's the next step. Binary code Historically its always been about abstracting and writing less code to…
I.e. as soon as it starts replacing humans, it will not have enough human generated training data, since all of programming will be done by models like himself.
Second, alphacode was specifically trained for competitive programming :
1. short programs. 2. Each program has 100's of human generated solutions.
However, commercial program are:
1. long. 2. Have no predefined answer or even correct answer. 3. Need to use/reuse a lot of legacy code.