OpenAI, a non-profit AI company that will lose anywhere from $4 billion to $5 billion this year, will at some point in the next six or so months convert into a for-profit AI company, at which point it will continue to lose money in exactly the same way. Shortly after
OpenAI, a non-profit AI company that will lose anywhere from $4 billion to $5 billion this year, will at some point in the next six or so months convert into a for-profit AI company, at which point it will continue to lose money in exactly the same way. Shortly after this news broke, Chief Technology Officer Mira Murati resigned, followed by Chief Research Officer Bob McGrew and VP of Research, Post Training Barret Zoph, leaving OpenAI with exactly three of its eleven cofounders remaining.
This coincides suspiciously with OpenAI’s increasingly-absurd fundraising efforts, where (as I predicted in late July) OpenAI has raised the largest venture-backed fundraise of all time $6.6 billion— at a valuation of $157 billion.
One of my big worries with the way people are using LLMs is that they’re being trained to trust whatever they spit out. Hey Google, what’s the nutritional content of peanuts? And people are learning not to ask where the information came from or to check sources.
One of the many reasons this worries me is that very soon these businesses are going to need to recoup the billions they’re spending, and I wonder how long until these systems start feeding paid promotions to a population that’s been trained to accept whatever they’re told. imagine what some businesses, or governments, would pay to have exactly their choice of words produced on demand in response to knowledge queries.
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One of my big worries with the way people are using LLMs is that they’re being trained to trust whatever they spit out. Hey Google, what’s the nutritional content of peanuts? And people are learning not to ask where the information came from or to check sources.
One of the many reasons this worries me is that very soon these businesses are going to need to recoup the billions they’re spending, and I wonder how long until these systems start feeding paid promotions to a population that’s been trained to accept whatever they’re told. imagine what some businesses, or governments, would pay to have exactly their choice of words produced on demand in response to knowledge queries.