3 ms·
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).
by 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 agoI 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.