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127 points Anon84 | 1 comments | | HN request time: 0.211s | source
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ufmace ◴[] No.38509082[source]
The article title is clickbaity, but the actual point is the proposal of using LLMs to translate large amounts of legacy COBOL systems to more modern languages like Java. Doesn't seem terribly useful to me. I expect you could get a 90% solution faster, but the whole challenge with these projects is how to get that last bit of correctness, and how to be confident enough in the correctness of it to actually use it in Production.

But then all of this has been known for decades. There are plenty of well-known techniques for how to do all that. If they haven't actually done it by now, it's a management problem, and no AI tech is going to fix that.

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IshKebab ◴[] No.38509995[source]
I'm pretty sure there's already a system to transpile COBOL to Java without resorting to LLMs.
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grammie ◴[] No.38511197[source]
Heirloom computing where I am cto does this using transpilers with 100% automated transpilation. Using LLMs for an entirely deterministic domain borders on the insane. This is just marketing bs but we get asked about it and what our plan is to counter it all the time. Explaining that using Gen-ai and LLMs for what is a well understood compiler/transpiler problem that is already solved just seems to be too difficult for some people to understand.
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tootie ◴[] No.38512820[source]
It's almost sad. Watson defeated Ken Jennings at Jeopardy 12 years ago and today IBM are nowhere in the AI race. They bet the farm on the exact right domain ahead of the competition and still failed.
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1. snotrockets ◴[] No.38514245[source]
IBM are very good at doing that.