Not only is the tech itself trash for what it is being used for, the marketing promotes using it to bypass all of the steps that make a normal process work.
Vomit out some AI slop and handing it out without any kind of review process bypasses the steps where someone would normally catch human errors or misunderstandings. But since AI is promoted as outputting the final result instantly people aren’t looking at the details and what is why there is so much slop.
The best part is this is as good as the AI slop will get. Knowledge, digitally anyway, via search, peaked about 2 years ago. Primary source information will still be valid digitally…unless authors incorporate slop into their work, which will take dedication and care to do.
They could use reliable sources to approach 100% instead of jamming literally everything in. For example, limiting the training data to peer reviewed papers would not be exactly 100% but it would be a lot closer than including all of reddit.
AI is digital trash.
Not only is the tech itself trash for what it is being used for, the marketing promotes using it to bypass all of the steps that make a normal process work.
Vomit out some AI slop and handing it out without any kind of review process bypasses the steps where someone would normally catch human errors or misunderstandings. But since AI is promoted as outputting the final result instantly people aren’t looking at the details and what is why there is so much slop.
That’s because nobody would adopt it otherwise.
The best part is this is as good as the AI slop will get. Knowledge, digitally anyway, via search, peaked about 2 years ago. Primary source information will still be valid digitally…unless authors incorporate slop into their work, which will take dedication and care to do.
If they used care and dedication they could make the fancy autocomplete return factual information now.
Only if the training set consists 100% of factual information that is internally consistent.
They could use reliable sources to approach 100% instead of jamming literally everything in. For example, limiting the training data to peer reviewed papers would not be exactly 100% but it would be a lot closer than including all of reddit.
happy cake day!