Money wins, every time. They're not concerned with accidentally destroying humanity with an out-of-control and dangerous AI who has decided "humans are the problem." (I mean, that's a little sci-fi anyway, an AGI couldn't "infect" the entire internet as it currently exists.)
However, it's very clear that the OpenAI board was correct about Sam Altman, with how quickly him and many employees bailed to join Microsoft directly. If he was so concerned with safeguarding AGI, why not spin up a new non-profit.
Oh, right, because that was just Public Relations horseshit to get his company a head-start in the AI space while fear-mongering about what is an unlikely doomsday scenario.
So, let's review:
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The fear-mongering about AGI was always just that. How could an intelligence that requires massive amounts of CPU, RAM, and database storage even concievably able to leave the confines of its own computing environment? It's not like it can "hop" onto a consumer computer with a fraction of the same CPU power and somehow still be able to compute at the same level. AI doesn't have a "body" and even if it did, it could only affect the world as much as a single body could. All these fears about rogue AGI are total misunderstandings of how computing works.
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Sam Altman went for fear mongering to temper expectations and to make others fear pursuing AGI themselves. He always knew his end-goal was profit, but like all good modern CEOs, they have to position themselves as somehow caring about humanity when it is clear they could give a living flying fuck about anyone but themselves and how much money they make.
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Sam Altman talks shit about Elon Musk and how he "wants to save the world, but only if he's the one who can save it." I mean, he's not wrong, but he's also projecting a lot here. He's exactly the fucking same, he claimed only he and his non-profit could "safeguard" AGI and here he's going to work for a private company because hot damn he never actually gave a shit about safeguarding AGI to begin with. He's a fucking shit slinging hypocrite of the highest order.
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Last, but certainly not least. Annie Altman, Sam Altman's younger, lesser-known sister, has held for a long time that she was sexually abused by her brother. All of these rich people are all Jeffrey Epstein levels of fucked up, which is probably part of why the Epstein investigation got shoved under the rug. You'd think a company like Microsoft would already know this or vet this. They do know, they don't care, and they'll only give a shit if the news ends up making a stink about it. That's how corporations work.
So do other Lemmings agree, or have other thoughts on this?
And one final point for the right-wing cranks: Not being able to make an LLM say fucked up racist things isn't the kind of safeguarding they were ever talking about with AGI, so please stop conflating "safeguarding AGI" with "preventing abusive racist assholes from abusing our service." They aren't safeguarding AGI when they prevent you from making GPT-4 spit out racial slurs or other horrible nonsense. They're safeguarding their service from loser ass chucklefucks like you.
You're misunderstanding what I mean by "making code smaller." Because.... that's not that much smaller. Each Unicode character is 2 bytes, with some being as many as 4 bytes. This code snippet is 64 bytes. Can you magically make Unicode characters smaller than 2 bytes? You can't. There's a literal physical limit on how small you can make code.
Sure, you can come up with clever ways to use less code. But my point is there is a limit on how much less code you can use, and that always is based on physical hardware limitations. Just because modern hardware makes it feel limitless doesn't mean it is.
EDIT: Got my data sizes mixed up.
Ok, but who says we're anywhere near that limit with AI? It's still very new technology
Used to be you'd need a massive disk for megabytes of slow storage, now we've got 4tb nvmes smaller than a credit card
As I said, this theoretical AGI does not have to make itself tiny, all it would have to do is be able to run at a reasonable speed on the average gaming PC for example which is feasible considering the heaviest pre-trained AI models will run on hardware from 2016 albeit somewhat slowly
I don't think the argument there's a physical limit works here, as it's entirely unknown how efficient existing models can be made currently, let alone a purely hypothetical AGI which can and will be used to improve on itself