what signals you send to OAI execs seems not relevant.
Right, I don’t occupy myself much with what the execs think. I do worry about stretching the “Overton window” for concerned/influential stakeholders broadly. Like, if no-one (not even AI Safety folk) acts to prevent OpenAI from continuing to violate its charter, then everyone kinda gets used to it being this way and maybe assumes it can’t be helped or is actually okay.
i don’t see why this would lead them to downsize, if “the gap between industry investment in deep learning and actual revenue has ballooned to over $600 billion a year”
Note that with ‘investments’, I meant injections of funds to cover business capital expenditures in general, including just to keep running their models. My phrasing here is a little confusing, but couldn’t find another concise way to put it yet.
The reason why OpenAI and other large-AI-model companies would cease to gain investments, is similar to why dotcom companies ceased to gain investments (even though a few like Amazon went on to be trillion-dollar companies). Because investors become skeptical about their prospect of the companies reaching break even and about whether they would still be able to offload their stake later (to even more investors willing to sink in their capital).
Right, I don’t occupy myself much with what the execs think. I do worry about stretching the “Overton window” for concerned/influential stakeholders broadly. Like, if no-one (not even AI Safety folk) acts to prevent OpenAI from continuing to violate its charter, then everyone kinda gets used to it being this way and maybe assumes it can’t be helped or is actually okay.
Note that with ‘investments’, I meant injections of funds to cover business capital expenditures in general, including just to keep running their models. My phrasing here is a little confusing, but couldn’t find another concise way to put it yet.
The reason why OpenAI and other large-AI-model companies would cease to gain investments, is similar to why dotcom companies ceased to gain investments (even though a few like Amazon went on to be trillion-dollar companies). Because investors become skeptical about their prospect of the companies reaching break even and about whether they would still be able to offload their stake later (to even more investors willing to sink in their capital).
Let me rephrase that sentence to ‘industry expenditures in deep learning’.