Cloud Wars Live with Bob Evans

In today’s Cloud Wars AI Minute, I break down the rise of AI model fatigue and why the industry’s rapid release cycle may be moving faster than buyers can keep up.
Highlights
00:16 — The thing we’re going to talk about today is going to be model fatigue. And this is a real thing that’s starting to happen in the industry as these models keep coming out, and they come out so quick that you’re starting to see that the race of the releases are just outrunning the buyer’s ability to be able to consume them.
00:37 — And just to give you some perspective of some key concepts that kind of showcase this is five of the key frontier models all released new versions within four days of one another, and when we start looking at this and having this model fatigue, you’re actually starting to see the labs that build these different frontier models starting to ask for the slowdown of the development of AI.
01:13 — What we really are starting to get into is going to be that we need to make sure that we have the ability for people to consume these things and understand the value. You’re also starting to see that there is also a need for deeper integration and depth, and data quality and domain fit are actually starting to be much more important than just releasing a new version of the model.
01:48 — The other perspective of this is not only is it causing a problem in being able to adopt, it’s also causing a problem in ability to actually service the needs. So we saw that Astra, which is GPT-6 Astra, literally in seven days turned off its Pro offering. And why did they do that? A lot of it just comes down to the race to produce these new models.
02:20 — And so now, what we’re seeing is that even if you make these new models, getting the capacity rolled out to be able to service the model’s demand is just not going to be able to be kept up with. So I anticipate what we will see is a slowdown in the number of models, so that it will be more consumable for the market in general.

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In today's Cloud Wars Minute, I look at why OpenAI is developing automated shutdown capabilities for its AI systems.
Highlights
00:04 — Weeks after disclosing that one of its AI tools had escaped a sandbox environment during testing, OpenAI has revealed yet more model safeguards. The company has understandably been under scrutiny in this area since the news broke about the rogue AI.
00:23 — OpenAI has reportedly told two House Democrats that it was developing automated shutdown capabilities for its AI systems. We're still waiting to hear more news on what these automated shutdown capabilities might be, but they're clearly a response to a proposed AI Kill Switch Act that would give the U.S. government the power to force the shutdown of any model that put human life or the economy at risk.
00:52 — OpenAI could, with these automatic shutdown settings, jump the gun on that act in many ways, future-proofing by building in its own kill switch. And I think this is a really interesting development in this complex battle, or at least discourse, between regulators and AI companies.
01:13 — Foreseeing this kind of regulation and acting on it could help steer how that regulation is ultimately set out. That could help set the guardrails in ways that AI companies know won't damage trust or productivity, while boosting confidence from all sides. Let's see what these capabilities turn out to be and how they match up with the proposed act.

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In today's Cloud Wars Minute, I review Oracle's Q1 cloud revenue and how its business model innovation could propel the growth rate to rise even higher.
Highlights
00:54 — Oracle reported Q1 cloud revenue of $11.6 billion, which is up 62%. $7.4 billion came from cloud infrastructure, with OCI having a growth rate of 121%. Oracle's RPO (remaining performance obligation), or its backlog that hasn't been recognized as revenue yet, jumped 46% to $664 billion. So, there's this enormous backlog waiting to be converted to revenue.
01:41 — Over the last several quarters, the OCI growth rate has been steadily, and often dramatically, rising. While it's already at 121%, I think this is going to go up more as this giant RPO number gets kicked over to revenue.
02:10 — It's not just the technology propelling this, but the business model innovation. Oracle CEO Clay McGuirk mentioned three ideas during the earnings call:
Suppliers are willing to defer payment that Oracle has to make to those suppliers until Oracle customers have begun to pay for the delivery of their data center services.
Customers are supplying some of the hardware, reducing the outlay that Oracle has to make up front.
Customers pay in advance: From startups to big established companies, customers are putting together big pools of money and are willing to pay in advance for the services they want.
03:42 — Hyperscalers need to determine how to get these services that everybody wants and is willing to pay a lot of money for into the hands of customers in ways that don't just require blunt-force spending by vendors.

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In today's Cloud Wars Minute, I look at OpenAI’s decision on Cursor and what it reveals about the importance of mutual trust across the AI industry.
Highlights
00:04 — OpenAI has announced that it's planning to wind down its contract with Cursor following the company's acquisition by SpaceX, meaning OpenAI models will no longer be available through Cursor after November 12 this year.
00:22 — So, just a quick recap: Cursor is an AI-powered code editor that was acquired by SpaceX on August 14 this year. Now, OpenAI says it's made this decision because it can't be confident that SpaceX will use its technology in line with its terms of service.
00:40 — It explicitly points to Elon Musk and his other companies, saying that after Musk acquired Twitter, the company violated terms of its contract with OpenAI. Then, it also says that Musk admitted under oath that xAI had violated OpenAI's terms of service in that case as well.
01:01 — The most interesting aspect of this decision is what it says about trust in the AI industry. We journalists and industry analysts often talk about trust between AI companies and their customers, but as AI becomes increasingly collaborative, trust between the companies building and rolling out these technologies is just as important.
01:26 — Now, what's been created is an AI ecosystem where companies are becoming dependent on one another for models, for infrastructure, for distribution, and the scale of this collaboration is really unprecedented, making this idea of mutual trust incredibly important. And the OpenAI-Cursor situation that we've talked about today really shows what can happen when that trust breaks down.

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In today's Cloud Wars Minute, I explore Oracle’s blowout Q1 and the numbers signaling its growing power in AI and cloud infrastructure.
Highlights
00:03 — Yesterday, Oracle reported what I'm calling a blowout Q1, and let me talk about some of the key numbers here that formed that impression for me. Its overall cloud revenue was up 62% to over $11 billion. It breaks that out in two ways. Its cloud apps business grew about 10%, a little over $4 billion in revenue.
00:26 — But this is the star now: the cloud infrastructure business grew 121% to $7.4 billion. And that is, of course, revenue — a measure of the recent past.
00:54 — Its RPO, which is similar to backlog or pipeline, but it's fully contracted business, was up 46% to $664 billion. So, its revenue for the most recent quarter grows, its RPO for future business is also growing very rapidly. Plus, the company guided in Q2 that its cloud revenue will grow again, accelerate again, going into Q2.
02:28 — So, Microsoft's current cloud revenue is about five times larger than Oracle's cloud revenue, right? So, much bigger. And you might say, well, it's got a much bigger cloud revenue right now; its RPO or backlog is probably on a similar level. But, Oracle has almost matched the RPO or backlog that Microsoft has: Oracle, $664 billion; Microsoft, $678 billion.
03:37 — More and more customers now are betting that while some of the other cloud vendors have been very strong and the dominant players coming up, Oracle is going to be an even bigger player going into the future. I think that's a big part of what these numbers tell us.

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