The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 50 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 6 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
Anthropic will die within 12 months if complacent on Claude Code
“If Anthropic thinks cloud code is already a win, In six or 12 months from now, they won't even be around.”
AI agents will generate more revenue than Google or Meta ads
“These products are not going to be used by you know, a hundred million people. But they will generate revenue that's going to be higher than the advertising revenue of Google or Meta. It's going to happen.”
Standalone AI model builders and token resellers have no viable business
“The output tokens, if you're literally just a reseller of model tokens, you have no business. Because the model will get commoditized. So even if you're a model builder, you don't have a business.”
Micron might surpass Meta in valuation within 12 months
“It might not be inconceivable that Micron, the supplier of HPMs, might be more valuable than Meta in the next six to 12 months.”
Anthropic lobbied heavily for US AI export controls
“And definitely like companies like Anthropic lobbied very hard for it.”
US government owns 10% of Intel, Nvidia and SoftBank 5% each
“American government owns 10% of Intel. Nvidia and SoftBank own five percent each.”
Perplexity holds state-of-the-art capability in AI deep research
“We, you know, like we still have the state of the art deep research in the world”
Advertising will fail to take off in AI chat interfaces
“So I, I'm bearish on advertising to really take off in the chat interface. I, I'm happy to be proven wrong there, but I'm bearish on that.”
Perplexity differentiates by orchestrating across competing AI models
“And the way we differentiate ourselves at perplexity Is we don't just orchestrate across tools and files and connectors. We also orchestrate across models. That is the differentiation that Anthropic and OpenAI cannot claim”
Some Meta engineers spend $10 million annually on AI coding tools
“There are real engineers in meta and in other companies spending like ten million a year per engineer on, on, on, on these, you know, coding tools.”
AI agents will evolve into completely autonomous software engineers
“My prediction would be agents that are like completely autonomous software engineers. Today, I think we're all using Tools like CloudCode or Codex to write code, but not as literal software engineers.”
Server-side 24/7 frontier AI will be financially unaffordable
“No one's going to be able to afford a twenty-four-seven AI, Frontier AI, running on the server.”
24/7 AI agents will be delivered by orchestrators, not model builders
“I believe that the 2407 always on agent is going to be realized by the company that wants to play the role of the orchestrator, not the model builder, not the frontier model, but the orchestrator.”
AI orchestration will capture more long-term value than frontier models
“If you can solve this problem, you will capture the most economic value in AI long-term. Short term, it might look like, oh, like this other lab's revenue is growing, you know, exponentially, this, that, but long term, this is the one objective that truly matt…”
GPU cloud providers can become multi-hundred billion dollar businesses
“I certainly think they can be sustainable.”
Public claims on data center resource consumption are false
“I actually believe that there'll be a lot of resistance to building data centers. It's because people incorrectly think that data centers consume a lot of water or eat up a lot of power, which isn't, both are untrue.”
AI data center buildouts will shift outside the US
“So we're still going to see data center build out. It might not happen in the US.”
20-person startups will build multi-billion dollar companies with AI
“There's going to be lots of amazing companies that are going to get built with far fewer people getting multi-billion dollar, multi-hundred million dollar valuations with like 20, 30 people and propelling like trillions of dollars of new GDP.”
AI agents will disrupt objective commerce, subjective buying stays ad-based
“The advertising model around like travel or shopping or like fashion are not getting disrupted by agents because the judgment is not objective. Any, anything where the judgment is objective, the transaction is based on objective judgment, that's going to get d…”
Perplexity will transition existing features to self-served open-source models
“We're training our own models post training it on top of amazing open source models, and that will bring down the cost that we currently spend on frontier model tokens. We expect to continue to use frontier models for designing new experiences and new capabili…”
World's largest enterprises will fine-tune open-source AI models
“Absolutely. Because it's in your incentives to bring down the cost.”
Srinivas: Only three or four AI labs can effectively scale models
“Those who do it right, those who get these 128 details right, are the ones who end up benefiting more from more scale. And that happens to be like three or four labs at this point.”
Srinivas: GPT-4 convincingly beats BloombergGPT on finance benchmarks
“Bloomberg spent a lot of money training Bloomberg GPT... And that model is, is beaten convincingly by, like, a GPT-IV on all the finance benchmarks.”
Srinivas: Superintelligent AI reasoning will kill $20 monthly subscriptions
“And like, I think when we achieve that it'll break all this 20 dollar a month Business models.”
Srinivas: AI models writing entire codebases is just a matter of time
“I think that's not the case today, which is why like these models are not so good that like, you know, they can just write an entire code base yet, but all that will happen. I think it's just a matter of time before, you know, they run another training run and…”
Srinivas: OpenAI and Anthropic will not get acquired
“I think with OpenAI and Anthropic, the value of the value of those companies is not in the models they have. That is a very first-order approximation. I think the second-order approximation is it's in the machine that's building the machine. That specific grou…”
Srinivas: In two years, Perplexity's differentiation from ChatGPT will be obvious
“And there's like some competition for mindshare and users, but even that will like be pretty clear, like two years from now, you're not going to keep asking how is perplexity different from chat GPT. Today you are, but two years from now, I don't think so.”
Meta plans to launch a $200-a-month AI product called Hatch
“Meta's trying to launch Hatch for 200 dollars a month.”
AI frontier will shift to chip design, drugs, and robotics
“Whatever is the frontier is going to be things that Kind of like AI is going and designing chips. AI is designing drugs. AI is figuring out how to build robots. AI is figuring out how to cure cancer. These are applications where you don't have like, ten millio…”
Undifferentiated AI spin-out labs will fail
“There are like just labs for the sake of being lab, and I don't think they're going to make it.”
Srinivas: Code is the only domain with sufficient token volume
“Code is probably the only domain that actually has a lot of tokens.”
Srinivas: OpenAI generates $2 billion in annual recurring revenue
“OpenAI is building a business for what it's worth. Like, I think they have, like, whatever, two billion in revenue annually, which is, like, higher than Snowflake or at least, like, as good as Snowflake. You know, so they're not as capital efficient as Snowfla…”
Srinivas: Advertising will be Perplexity's primary revenue engine if executed well
“I would predict it'll be advertising. If we crack it, yes, it'll be advertising. If we don't crack it, if we are not, if we don't, if we haven't grown to that level in user basin, or if we grew and didn't figure out how to advertise really well, I think it'll …”
Srinivas: AI answer engines will not disrupt traditional web browsers
“I don't think browser is going to be disrupted because you get answers instead of links. People still want to browse. And get to a new website, get to a specific website, enter details, fill up forms, all those kinds of things.”
Perplexity built the world's first widely recognized AI answer engine
“We built the first answer engine in the world that people know perplexity.”
Google will launch a coding agent to compete with Codex
“Google doesn't yet have a product in this category, but I'm sure they're going to come after that.”
Perplexity will move AI inference to local devices to cut costs
“And now with progress in open source and local models and local chips, we're going to move some of the inference back to the local devices and bring down the cost even more.”
OpenRouter operates as a low-margin API price arbitrage business
“It's not like, you know, high gross margin of business. It's the way the business model works for them is actually they would secure a discount from the model providers by guaranteeing a lot of supply, but they would still charge the user listing price on the …”
Srinivas: Next-gen AI models will iteratively refine reasoning via external feedback
“Tomorrow's models will start with an output, reason, elicit feedback from the world, go back, improve the reasoning. That is the beginning of real reasoning era.”
Srinivas: AI industry lacks algorithms to support infinite model memory
“That is like infinite memory. I think like we don't even have the algorithms for it yet today.”
Srinivas: Long context capabilities outpace instruction-following quality in current AI
“Today's case is that we have achieved long context before achieving good instruction following. So you can dump a lot into your prompt. You have the memory, but models can hallucinate or get confused because of so much information to focus on.”
Srinivas: GPT-4 tier models are not yet commoditized
“I think GPT four quality models are not yet commoditized. There's only probably one or two alternatives for the people today, like Claude Opus or some people, Gemini, let's say. If it's just like two or three alternatives, it's not, I wouldn't call it a commod…”
Srinivas: Foundation model training requires three-year advance GPU commitments
“Because the way it works is you have to pay three years in advance to get a big cluster. Like you have to commit to that. It's not like all the money goes away immediately, but you have to commit to three year To get like, you know, thousands of GPUs at once i…”