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
Oh my god, this particular point has been so frustrating to me. People talking about how much time it saves them with boilerplate code: If it’s that boilerplate make yourself a fucking template! Learn your IDE’s damn features, because most have code snippet features now where you can save them right in the damn IDE.
There’s vanishly little that LLMs are actually being used for that can’t be done far cheaper (computatiomally and cost-wise) with existing tools.
There’s vanishly little that LLMs are actually being used for that can’t be done far cheaper (computatiomally and cost-wise) with existing tools.
Reminds me of the most recent Adam Conover podcast. He had as guests two computer scientists who were purportedly critical of AI, and one of them still shat out something to the effect of:
It does have a use case where something takes longer to produce than it does to verify. For example, a website …
I know generally speaking, people want to use very exacting language when talking about technicals, so it’s not that strange when people hedge edge cases - it’s just what they’re taught to do in their careers.
But, when we’re talking about financials, instead of being detailed and careful, it’s just sounds desperate when you have to tack on a hundred dollar value add to your supposedly million dollar company.
Oh my god, this particular point has been so frustrating to me. People talking about how much time it saves them with boilerplate code: If it’s that boilerplate make yourself a fucking template! Learn your IDE’s damn features, because most have code snippet features now where you can save them right in the damn IDE.
There’s vanishly little that LLMs are actually being used for that can’t be done far cheaper (computatiomally and cost-wise) with existing tools.
Reminds me of the most recent Adam Conover podcast. He had as guests two computer scientists who were purportedly critical of AI, and one of them still shat out something to the effect of:
I know generally speaking, people want to use very exacting language when talking about technicals, so it’s not that strange when people hedge edge cases - it’s just what they’re taught to do in their careers.
But, when we’re talking about financials, instead of being detailed and careful, it’s just sounds desperate when you have to tack on a hundred dollar value add to your supposedly million dollar company.