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Message: <blockquote data-quote="inf0squit0" data-source="post: 9768756" data-attributes="member: 7054116">While Amazon was operating at a loss, it was still selling products that a lot of people wanted. The extremely high failure rate of enterprise AI projects, the multiple studies finding that AI frequently degrades productivity, and especially the end of the "all you can eat" offerings from AI services paint a picture where the road from operating at a loss to profitability has yet to appear and the flailing on the part of the AI companies is just beginning. It's not just that the profit isn't there yet - there's a very real possibility that there's not even a plausible model for future profit, and operating costs can't be paid without a constant IV drip of VC funding. Which will eventually run out when the cash is gone and investors still aren't getting anything out of this.And that's not even taking into account the expensive legal fights with IP behemoths who are very good at getting their way in court - like Disney.And as training gets more expensive, training data gets more difficult to acquire, and what training data can be acquired is increasingly polluted with the output of previous-gen models, there's a very real chance that LLM AI output becomes even more obvious shovelware than it already is (which is how I interpret 'AI slop' as a term - AI output being intent-free, largely context-unaware, homogenized non-content)My favorite summation of AI content comes from an AMA thread with Daniel Abraham and Ty Franck, authors of The Expanse. "If you ask AI to make you a sandwich, it takes 100,000 sandwiches, grinds them up, and then injects the pulp into a sandwich shaped mold. You will get an object that looks like a sandwich, and contains things that sandwiches contain, but it will taste terrible."</blockquote>

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