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> AI can't know a fact, but it could parse inputs and build relationships between bits of data, based on how the users access that data, and under what headings
by cratermoon 3y ago
> AI can't know a fact, but it could parse inputs and build relationships between bits of data, based on how the users access that data, and under what headings it's commonly searched for.
Yes, but so can text analytics tools that are not transformer model LLMs, and they can do it without thousands of swimming pools of water[1] or a gigawatt hour of electricity[2]. Those LLMs are just algorithmic summary generators, and text summarizers have existed for some time.
> find that input, and match it with similar/related inputs and store the information in a more effective way
But that's not how these automation tools work – they don't store information, they generate statistically likely text based on the training corpus.
1. https://www.independent.co.uk/tech/ai-water-energy-artificial-intelligence-b2409356.html https://www.independent.co.uk/tech/ai-water-energy-artificia...
2. https://spectrum.ieee.org/ai-energy-consumption https://spectrum.ieee.org/ai-energy-consumption
- sonicanatidae 3y agoSure. I get that AI doesn't "know" things. My specific suggestion was about leveraging the parsing and response loop of LLM AIs to analyze free text, parse what's useful and the reply would be collating the data. Thanks for taking the time to reply!