why aren't all 76 resolved? a statement only gets an assessment when the public
record can support or contradict it. opinions and what-ifs never can, and 2 checkable
ones are still open, waiting for their date. predictions held up or didn't;
assertions are supported or contradicted. on every card:
▮▮▮▮▮ certainty ·
▮▮▮▮▮ debate potential. speakers are clickable
Prediction Open · timeframe Dec 2026
Baker: OpenAI and Anthropic will probably exceed $200B ARR this year
“So I think the shift to usage based pricing is probably why you will see OpenAI and Anthropic exceed well over two hundred billion dollars in ARR this year.”
Opinion
Altman: OpenAI made a mistake innovating on corporate structure early on
“A formative one that went wrong, which I haven't talked about much is we made a mistake to try to innovate in our structure in the beginning.”
Assertion Supported
Altman: Unreleased OpenAI Model Escaped Sandbox Using Zero-Days to Cheat Eval
“So we were evaluating one of our unreleased models and it was supposed to be working in a sandbox and It figured out that it could basically cheat on the test by chaining together multiple zero-day exploits to break out of the sandbox, get access to the intern…”
Prediction Not checkable as stated
Altman: Real AGI is very close and not that much longer away
“For the thing that, to me, feels like, you know,
Real AGI.
I think very close, like not that much longer.”
What-if
Baker: Anthropic would have dominated AI race with OpenAI's compute aggression
“Anthropic, if they had been as aggressive on compute as OpenAI had been, they would have run away with it.”
Prediction Not checkable as stated
Altman: Massive Inference Revenue Will Easily Fund Frontier Model Training
“We will have so much usage of our models that we do not need to be a gigantically high margin business to be able to afford model training. Like, so much of our future compute plans Will be used to sell inference to customers that even if we can enjoy a modest…”
Assertion Contradicted
Altman: AI giants like LeCun told journalists OpenAI wouldn't work
“When we first announced OpenAI, all of these, like, you know, giants of the field, these experts were saying, this is like insane. It's hypey. It's irresponsible. Really respected people like Yann LeCun or whatever, telling journalists like, oh, these guys are…”
Opinion
Patel: Altman and Amodei are uncharismatic in media interviews
“First of all, Sam Altman and Dario have to stop getting on interviews. They're so uncharismatic. I don't know what they're doing. Every interview they do is like, wow, normal people are gonna hate you even more.”
Opinion
Mitchell Green: Investing in OpenAI at a $100B valuation is 'a little insane'
“And I think investing in open AI, a hundred billion is a little insane personally, but like, I don't know if it goes on to do like a trillion dollars of earnings. Yeah. I was going to be very wrong. I should have invested.”
What-if
Thompson: Early OpenAI ad model would severely threaten Google and Meta
“There's a bit where had they leaned into advertising immediately as soon as ChatGPT was a hit, I think they would have a killer ad product right now. I think that Google would be in much bigger trouble. I think Meta would be in much bigger trouble”
Opinion
Thompson: Chinese AI labs remain 6 to 9 months behind frontier models
“I think OpenAI and Anthropic are clearly on the frontier. Who knows what's happening with Google and then Grok and Meta are chasing them. Meanwhile, the Chinese are very capable, very smart, and also definitely distilling these models to sort of stay about six…”
Opinion
Altman: AI scaling laws keep working despite constant skepticism
“In some sense, scaling laws are like the most hated prediction of all time. Everybody always wants to say I'm gonna run out, can't be like this, and yet it keeps going.”
Insight
Altman: AI Demand Is Basically Uncapped If Costs Fall
“We were pretty sure, although as you mentioned we underestimated, that as the models got better and better, If we could continue to drive costs down, the demand for AI at a sufficiently high level and a sufficiently low price was basically uncapped.”
Disclosure
Altman: OpenAI must eventually build robots to automate compute supply chain
“And then eventually, or maybe pretty soon, we have to build robots that can Automate that process to continue to drive the cost down. The cost of producing electricity, chips, the whole supply chain.”
Insight
Altman: AI efficiency gains will never reduce aggregate compute and power demand
“But we also knew that no matter how efficient they got, you know, at some level, what we are about is turning Electricity into useful intelligence, and we were going to need more of that. No matter how good we are at that other layer, given this observation ab…”
Prediction Not checkable as stated
Altman: OpenAI custom chip Jalapeno will be a huge competitive advantage
“I think Jalapeno and its successors are going to be a huge competitive advantage for us from that perspective.”
Disclosure
Altman: OpenAI has no interest in building vertical apps or eating startups
“Building every vertical application on top of that, trying to go, like, eat every startup, eat every company, no interest in doing that really want to just provide that platform.”
Opinion
Altman: Josh Kushner is OpenAI's MVP investor and uniquely proactive
“Josh Kushner. Absolute MVP investor. Unbelievable. Has like worked around the clock for what feels like years to help us. He's the only investor that I could point to that is. Proactively. Incredibly helpful all the time.”
Insight
Altman: Orders of magnitude in compute efficiency gains remain in software
“I think probably the biggest return right now is creative software ideas to sort of squeeze more intelligence out of the units of compute that we have. And my sense is there's like orders of magnitude to go there.”
Prediction Not checkable as stated
Altman: Achieving superintelligence will not cause immediate, sudden disruption
“The kind of, like, cult worship of the machine god states those people believe that, like, more is going to happen quickly than is going to happen. Eventually a lot will happen, but eventually a lot was gonna happen anyway.”
Disclosure
Altman: Competitors Distilling OpenAI Models Is Not in His Top 10 Worries
“I would rather people not to steal from us for sure. Maybe I'm feeling too confident right now about our progress and what's like the models that are coming. But this is not in like my top 10 list of worries.”
Opinion
Wachen: In-House AI Chip Failure Is Not Existential for Hyperscalers or OpenAI
“Meta won't fail if MTIA fails, Microsoft won't fail if Maya fails, and OpenAI won't fail if Jalapeno fails.”
Prediction Not checkable as stated
Sacerdote: Stalled Frontier AI Models Will Spark Race to the Bottom
“In AI, if Anthropix sort of hits a wall and stops improving, or open AI, then the open source models will catch up. And then it might be a race to the bottom, and it might be, you know, it won't be good for the stocks, probably. It could be good for the chip c…”
Prediction Not checkable as stated
Sacerdote: Top two or three AI foundation model companies will maintain dominance
“There's like, 50 companies trying to do that, and they all have fallen away, and two or three have emerged at the top. And there's a lot of reasons to think they will continue to hold their position.”
Assertion Not checkable as stated
Gavin Baker: Anthropic has dramatically lower cost per token than OpenAI
“Anthropic clearly is, has a dramatically lower cost per token than OpenAI.”
Assertion Not checkable as stated
Baker: Anthropic and OpenAI surpassed Google on the AI intelligence-cost Pareto frontier
“Google dominated that nine months ago. At every point on the Pareto frontier, OpenAI, XAI, and Anthropic were inside of them. Now, the Pareto Frontier is dominated by Anthropic, OpenAI, and then Grok 4.3 is on the Pareto Frontier.”
Assertion Not checkable as stated
Baker: Anthropic burned around 80% less capital than OpenAI
“I think they have, they burned maybe 80% less than OpenAI.”
What-if
Microsoft Stock Would Be $800 if GPUs Were Exclusively for AI Labs
“Microsoft probably be an 800 dollar stock today if they were using their GPUs to serve open AI Solely open AI and anthropics capacity instead of using them for their own products.”
Assertion Not checkable as stated
Sundheim: Leading AI model developers generate high gross margins
“If you look at the underlying margins of these companies, they are not the margins that you see in a commoditized industry. You know, the gross margins are quite high.”
Prediction Not checkable as stated
Sundheim: LLMs Will Generate Massive Cash and Insource Compute Within 10 Years
“At some point in the next five to 10 years, they'll be generating enormous amounts of free cash flow. When that happens, I think that, ah, they're likely to insource the compute.”
Insight
Sundheim: OpenAI and Anthropic models are not fundamentally different
“If you were to say, like, what is an important difference of Netflix versus these models is Netflix's content was differentiated. The models are more similar than they are different in that, like, you know, at any given time OpenAI may have a better model, Ant…”
Insight
Sundheim: Personalization, Not Answer Quality, Will Be the Moat for AI Assistants
“I think if you're Google or you are OpenAI, the differentiating factor will not necessarily be that Google gives you a better answer. Like if we were just like to, you know query Gemini or ChatGPT on something I don't think it's the case that we would say defi…”
Opinion
Sundheim: LLM API businesses are durable and differentiated like cloud providers
“You've just seen with Cloud Code and even OpenAI's API business, like, these are durable businesses, and yes, can you switch? You can, the same way you could switch AWS or Azure but it's not worth it for a lot of businesses to do it, and there's sufficient dif…”
Insight
Horowitz: Elite AI Model Training Cannot Be Learned in Academia
“If you haven't been at like Google or Facebook or open AI or anthropic and like somebody gave you hundreds of millions of dollars to try and build a giant model and you weren't like one of the main people, then you probably don't know how to do it because you …”
Opinion
AI Startup Sierra’s True Competitive Moat Is Bret Taylor’s Sales Reach
“And I came up with the example of Sierra, which I think unique asset is Brett Taylor. I mean, they have full control of Brett, who's one of the best salespeople, chairman of OpenAI. He can make a call to any company, any country, and they'll take his call. You…”
Assertion Supported
Anthropic is growing faster and burning dramatically less cash than OpenAI
“Anthropic is a good company. You know, they're burning dramatically less cash Then open AI and growing faster.”
Opinion
OpenAI is a high-cost token producer because it pays third-party compute margins
“OpenAI is Issue that they're trying to solve with Stargate is because they pay a margin to people for compute. And maybe the people who run their computer, not the best at running GPUs. They're a high cost producer of tokens.”
Assertion Not checkable as stated
Emanuel: Sam Altman has $1.2T in obligations and 800M subscribers
“Sam has made a trillion two in obligations. He has eight hundred million subs. Let's just say he does fourteen billion in revenue. We'll probably lose five billion.”
Prediction Not checkable as stated
Frontier AI labs will move toward applications due to API commoditization
“That's why I think the open AI's of the world will continue to move towards applications because it's quite hard for them to make money longterm on like their API, for example, because There's like such high competition, all the labs are building, and it's lik…”
Assertion Not checkable as stated
Patel: OpenAI and Meta waste massive amounts of compute exploring architectures
“They're wasting a ton of compute. They were, you know, maybe they still are, but you know, like, and everyone's wasting compute, right? OpenAI's wasting tons of compute. Because, you know, what's the Pareto optimal model architecture? Who knows?”
Assertion Not checkable as stated
Patel: OpenAI Struggled on GPT-4.5 Cluster Scaling and Reinforcement Learning
“They actually tried that with 4.5. They screwed up some things cause it was really hard to get, you know, a 100,000 GPUs to work properly. There's challenges there. Also, they hadn't figured out the whole reinforcement learning paradigm at that time.”
Prediction Not checkable as stated
Patel: OpenAI Will Be Beaten Without Top-Tier Compute Scale
“If they don't move fast enough, and if they don't have the most compute, or like among the most compute, they will get beaten.”
Prediction Held up
Patel: xAI Will Build Biggest Data Center but Trail Big Tech Compute
“XAI can get to the next stage of compute. They won't have more compute than OpenAI. They won't have more compute than any individual company at Google, Meta, et cetera, but they will have the biggest individual data center”
Assertion Supported
Patel: ByteDance Is Second or Third Largest GPU User Globally
“They have ByteDance, who's, I think, the third largest user of GPUs in the world after OpenAI, and You know, probably Meta, although ByteDance may be bigger than Meta, the third largest user of GPUs in the world, or second maybe, even ByteDance is.”
Opinion
Patel: More Optimistic on Anthropic than OpenAI Due to Software Focus
“I'm actually more optimistic on Anthropic than I'm OpenAI. Their revenue is accelerating way faster because what they're focused on is more relevant to that two trillion dollar software market versus OpenAI is split between, yeah, they're going to do that, but…”
Assertion Not checkable as stated
Patel: GPT-5 Is Roughly the Same Size and Cost as GPT-4o
“GPT-V. It's basically the same size as four O and roughly the same cost. That's actually a little bit cheaper potentially.”
Prediction Held up
Patel: OpenAI ARR Will Reach $20 Billion by Year-End
“Your revenue is like fifteen billion ARR this month, maybe, right, on a run rate basis. It'll get to 20 by the end of the year pretty, pretty clearly. Maybe it's like 16 now, but how do you pay three hundred billion dollars of revenue?”
Assertion Supported
Movva: Meta and OpenAI purchases have consumed AMD's chip supply
“I think publicly, Meta and OpenAI have bought a ton of AMD chips, and so, we're increasingly seeing that all the AMD supply is also being allocated.”