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The next chapter of the Microsoft–OpenAI partnership

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Re: The next chapter of the Microsoft–OpenAI partnership

#401

Earlier quoted context omitted.

There are a lot of humans that can’t drive a car (well). Part of the problem with “AGI” is everyone has their own often totally arbitrary yard sticks.

The vast majority of humans can be taught to drive.

> The vast majority of humans can be taught to drive

the key is being able to drive and learn another language and learn to play an instrument and do math and, finally, group pictures of their different pets together. AGI would be able to do all those things as well... even teach itself to do those things given access to the Internet. Until that happens then no AGI.

Re: The next chapter of the Microsoft–OpenAI partnership

#402
post #282

Earlier quoted context omitted.

> The two companies reportedly signed an agreement [in 2023] stating OpenAI has only achieved AGI when it develops AI systems that can generate at least $100 billion in profits. https://techcrunch.com/2024/12/26/microsoft-and-openai-have-...

that's very different from OpenAI's previous definition (which was "autonomous systems that surpass humans in most economically valuable tasks") for at least one big reason: This new definition likely only triggers if OpenAI's AI is substantially different or better than other companies' AI. Because in a world where 2+ companies have similar AGI, both would have huge income but the competition would mean their profit…

It doesn't seem to say 100B a year. So presumably a business selling spoons will also eventually achieve AGI. Also good to know that the US could achieve AGI at any time by just printing more money until hyperinflation lets openai hit their target.

Re: The next chapter of the Microsoft–OpenAI partnership

#403

Earlier quoted context omitted.

It can? If you use 'multimodal transformer' instead of LLM (which most SOTA models are), I don't think there's any reason why a transformer arch couldn't be trained to drive a car, in fact I'm sure that's what Tesla and co. are using in their cars right now. I'm sure self-driving will become good enough to be commercially viable in the next couple years (with some limitations), that doesn't mean it's AGI.

Okay but then can a multimodal transformer do everything an LLM can?

Most SOTA LLMs are multimodal transformers.

Re: The next chapter of the Microsoft–OpenAI partnership

#404

Earlier quoted context omitted.

It can? If you use 'multimodal transformer' instead of LLM (which most SOTA models are), I don't think there's any reason why a transformer arch couldn't be trained to drive a car, in fact I'm sure that's what Tesla and co. are using in their cars right now. I'm sure self-driving will become good enough to be commercially viable in the next couple years (with some limitations), that doesn't mean it's AGI.

There is a vast gulf between "GPT-5 can drive a car" and "a neural network using the transformer architecture can be trained to drive a car". And I see no proof whatsoever that we can, today, train a single model that can both write a play and drive a car. Even less so one that could do both at the same time, as a generally intelligent being should be able to. If someone wants to claim that, say, GPT-5 is AGI, then i…

> single model that can both write a play and drive a car.

It would be a really silly thing to do, and probably there are engineering subletities as to why this would be a bad idea, but I don't see why you couldn't train a single model to do both.

Re: The next chapter of the Microsoft–OpenAI partnership

#405
post #197

Earlier quoted context omitted.

Microsoft is worth $4T, so if you buy one MSFT share only ~3% of that is invested in OpenAI. Even if OpenAI outperforms everyone's expectations (which at this point are already sky high), a tiny swing in some other Microsoft division will completely erase your gains.

Yeah, but on the plus side when the AI bubble bursts at least you've still got Excel.

Claude for Excel! https://news.ycombinator.com/item?id=45722639

Re: The next chapter of the Microsoft–OpenAI partnership

#406
post #75

Earlier quoted context omitted.

> If, say, Microsoft is on a path towards decreasing relevance/marketshare/profitability That’s a big if. I see a lot of people in big enterprises who would never even consider anything other than Microsoft and Azure.

yeah, this is a take I see by people who work in unix like environments (including macs). If anything Microsoft will grow much bigger. People are consolidating in Azure and away from GCP. easier to manage costs and integrate with their fleet. Windows workstations and servers are now "joined" to Azure instead, where they used to be joined to domain controller servers. Microsoft will soon enough stop supporting that ol…

Entra (formerly Azure Active Directory) is definitely a huge enterprise Azure driver, and MS knows it.

Re: The next chapter of the Microsoft–OpenAI partnership

#407
A tangent, but it feels more and more like the AGI maximalists of 2025 are by and large the NFT maximalists from 2022 (who in turn were the NoCode maximalists of 2020) that are looking for the next metaphorical penny stock to sell.

That logical fallacy of, “I spent a week teaching myself this topic and now I’m ready to talk about it like an expert.”

Re: The next chapter of the Microsoft–OpenAI partnership

#408

It seems really weird to me that such granular intercorporate details are made publicly available (in a blog post?). I've never had to publicly state things like this when making corporate partnerships. That makes me wonder how much of this post is crafted solely for PR...

I believe MS declares Q1 earnings today, and there had been some rumblings that they were risking accounting / reporting liability by failing to characterize their material OpenAI stake.

What probably happened:

   1. MS's accountants raised a warning
   2. Existing agreement prohibited disclosure of terms
   3. MS told OpenAI that wasn't acceptable and MS needed to publicly report details today
   4. OpenAI coordinated release of this, to spin the narrative

Re: The next chapter of the Microsoft–OpenAI partnership

#409

> Once AGI is declared by OpenAI, that declaration will now be verified by an independent expert panel. > Microsoft’s IP rights for both models and products are extended through 2032 and now includes models post-AGI, with appropriate safety guardrails. Does anyone really think we are close to AGI? I mean honestly?

If someone is able to come up with true AGI, why even announce it? Instead, just use it to remake a direct clone of Google, or a direct clone of Netflix, or a direct clone of any of these other software corporations. IMO if anyone was anywhere close to something even remotely touching AGI, they would keep their mouth shut tighter than Fort Knox.

Re: The next chapter of the Microsoft–OpenAI partnership

#410
post #248
post #178

Earlier quoted context omitted.

> they moved the goalpost on the definition of AI at the start of this boom cycle Who is this "they" you speak of? It's true the definition has changed, but not in the direction you seem to think. Before this boom cycle the standard for "AI" was the Turing test. There is no doubt we have comprehensively passed that now.

I don't think the Turing Test has been passed. The test was setup such that the interrogator knew that one of the two participants was a bot, and was trying to find out which. As far as I know, it's still relatively easy to find out you're talking to an LLM if you're actively looking for it.

The Turing Test was a pretty early metric and more of a thought experiment.

Let's be real guys, it was created by Turing. The same guy who built the first general purpose computer. Man was without a doubt a genius, but it also isn't that reasonable to think he'd come up with a good definition or metric for a technology that was like 70 years away. Brilliant start, but it is also like looking at Newton's Laws and evaluating quantum mechanics based off of that. Doesn't make Newton dumb, just means we've made progress. I hope we can all agree we've made progress...

And arguably the Turing Test was passed by Eliza. Arguably . But hey, that's why we refine and make progress. We find the edge of our metrics and ideas and then iterate. Change isn't bad, it is a necessary thing. What matters is the direction of change. Like velocity vs speed.

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