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1. JumpCr+(OP)[view] [source] 2023-11-20 13:57:26
We’re seeing our generation’s “traitorous eight” story play out [1]. If this creates a sea of AI start-ups, competing and exploring different approaches, it could be invigorating on many levels.

[1] https://www.pbs.org/transistor/background1/corgs/fairchild.h...

replies(2): >>kossTK+f3 >>ethbr1+65
2. kossTK+f3[view] [source] 2023-11-20 14:07:23
>>JumpCr+(OP)
Doesn't it look like the complete opposite is going to happen though?

Microsoft gobbles up all talent from OpenAI as they just gave everyone a position.

So we went from "Faux NGO" to, "For profit", to "100% Closed".

replies(1): >>JumpCr+q4
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3. JumpCr+q4[view] [source] [discussion] 2023-11-20 14:10:48
>>kossTK+f3
> Doesn't it look like the complete opposite is going to happen though?

Going from OpenAI to Microsoft means ceding the upside: nobody besides maybe Altman will make fuck-you money there.

I’m also not sure as some in Silicon Valley that this is antitrust proof. So moving to Microsoft not only means less upside, but also fun in depositions for a few years.

replies(3): >>toomuc+f8 >>DebtDe+99 >>j-a-a-+Oc
4. ethbr1+65[view] [source] 2023-11-20 14:12:42
>>JumpCr+(OP)
How would that work, economically?

Wasn't a key enabler of early transitor work that required capital investment was modest?

SotA AI research seems to be well past that point.

replies(3): >>JumpCr+r5 >>throwa+cb >>tedivm+mh
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5. JumpCr+r5[view] [source] [discussion] 2023-11-20 14:13:50
>>ethbr1+65
> Wasn't a key enabler of early transitor work that required capital investment was modest?

They were simple in principle but expensive at scale. Sounds like LLMs.

replies(1): >>ethbr1+h7
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6. ethbr1+h7[view] [source] [discussion] 2023-11-20 14:19:53
>>JumpCr+r5
Is there SotA LLM research not at scale?

My understanding was that practical results were indicating your model has to be pretty large before you start getting "magic."

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7. toomuc+f8[view] [source] [discussion] 2023-11-20 14:23:03
>>JumpCr+q4
Fuck you money was always a lottery ticket based on OpenAI's governance structure and "promises of potential future profit." That lottery ticket no longer exists, and no one else is going to provide it after seeing how the board treated their relationship with Microsoft and that $10B investment. This is a fine lifeboat for anyone who wants to continue on the path they were on with adults at the helm.

What might have been tens or hundreds of millions in common stakeholder equity gains will likely be single digit millions, but at least much more likely to materialize (as Microsoft RSUs).

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8. DebtDe+99[view] [source] [discussion] 2023-11-20 14:25:58
>>JumpCr+q4
No. OpenAI employees do not have traditional equity in the form of RSUs or Options. They have a weird profit-sharing arrangement in a company whose board is apparently not interested in making profits.
replies(1): >>semiqu+Sc
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9. throwa+cb[view] [source] [discussion] 2023-11-20 14:33:06
>>ethbr1+65
NN/ai concepts have been around for a while. It is just computers had not been fast enough to make it practical. It was also harder to get capital back then. Those guys put the silicon in silicon valley.
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10. j-a-a-+Oc[view] [source] [discussion] 2023-11-20 14:39:35
>>JumpCr+q4
Ha! One of my all-time favourites, the fuck-you position. The Gambler, the uncle giving advice:

You get up two and a half million dollars, any asshole in the world knows what to do: you get a house with a 25 year roof, an indestructible Jap-economy shitbox, you put the rest into the system at three to five percent to pay your taxes and that's your base, get me? That's your fortress of fucking solitude. That puts you, for the rest of your life, at a level of fuck you.

https://www.imdb.com/title/tt2039393/characters/nm0000422

replies(1): >>jonhoh+Eg
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11. semiqu+Sc[view] [source] [discussion] 2023-11-20 14:39:55
>>DebtDe+99
Employee equity (and all investments) are capped at 100x, which is still potentially a hefty payday. The whole point of the structure was to enable competitive employee comp.
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12. jonhoh+Eg[view] [source] [discussion] 2023-11-20 14:56:27
>>j-a-a-+Oc
I haven’t seen the movie, but it seems like Uncle Frank and I would get along just fine.
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13. tedivm+mh[view] [source] [discussion] 2023-11-20 14:59:52
>>ethbr1+65
It really depends on what you're researching. Rad AI started with only 4m investment and used that to make cutting edge LLMs that are now in use by something like half the radiologists in the US. Frankly putting some cost pressure on researchers may end up creating more efficient models and techniques.
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