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It'll be the same way everybody can program with Excel right now. Things will work fine, until they don't anymore, at which point a professional will be brought

It'll be the same way everybody can program with Excel right now. Things will work fine, until they don't anymore, at which point a professional will be brought in to help fix "the bug". Obviously, that bug will the obvious result of the whole thing being a horrible mess and will be unfixable without a proper rewrite. _Maybe_ the AI will be able to help with the rewrite, generating test cases and translating business logic, which would be nice.

qumpis 3y ago
I think many people give up too quickly (as could perceived by those professionals who had to put sweat when learning how to put things back when they break). But a capable language model might serve as a debugger: "you're stuck? About to call a professional? No worries, explain to me what you see and let me ask you questions in order to find a fix together"
- noisy_boy 3y ago
  I think it'll evolve into the AI Assistant being an always-on/always-available app/service/client (ala Siri/Alexa) coupled with a much more powerful online service. Advantage is that once the client is installed, it has access to practically everything the user is doing (which is what the tech companies dream of) and can actually ingest the inputs without the user having to summarize/translate into a text box (problem with Excel? AI assistant can read the excel sheet that has the issue so you can just ask questions). I also think that the main two reasons behind Alexa/Siri not seeing very high adoption rates are misinterpretation of the voice commands + quality of results. With LLMs, at least the first issue should improve dramatically and if the popularity of ChatGPT is anything to go by, the second issue should also see improvements.
cableshaft 3y ago
I'd much rather program with the help of ChatGPT 4, as it is right now, over programming with Excel (I've done both). And at least on a smaller scale, the code generated by ChatGPT hasn't been a mess at all. Sometimes it's incorrect or insufficient and it can't handle the more complex solution I'm asking of it, but the code isn't messy and doesn't require me to rewrite it from scratch, just fix what's incorrect.

qumpis 3y ago

I think many people give up too quickly (as could perceived by those professionals who had to put sweat when learning how to put things back when they break). But a capable language model might serve as a debugger: "you're stuck? About to call a professional? No worries, explain to me what you see and let me ask you questions in order to find a fix together"

noisy_boy 3y ago
I think it'll evolve into the AI Assistant being an always-on/always-available app/service/client (ala Siri/Alexa) coupled with a much more powerful online service. Advantage is that once the client is installed, it has access to practically everything the user is doing (which is what the tech companies dream of) and can actually ingest the inputs without the user having to summarize/translate into a text box (problem with Excel? AI assistant can read the excel sheet that has the issue so you can just ask questions). I also think that the main two reasons behind Alexa/Siri not seeing very high adoption rates are misinterpretation of the voice commands + quality of results. With LLMs, at least the first issue should improve dramatically and if the popularity of ChatGPT is anything to go by, the second issue should also see improvements.

cableshaft 3y ago

I'd much rather program with the help of ChatGPT 4, as it is right now, over programming with Excel (I've done both). And at least on a smaller scale, the code generated by ChatGPT hasn't been a mess at all. Sometimes it's incorrect or insufficient and it can't handle the more complex solution I'm asking of it, but the code isn't messy and doesn't require me to rewrite it from scratch, just fix what's incorrect.