#大佬观点

@jietang @teortaxesTex On benchmarks, yes, but as measured by true usefulness even Q1 would be very impressive. Anthropic has rightly focused on maximizing useful intelligence, which does not show up in benchmarks, but definitely shows up in revenue.

Bro it’s June 2026. Stop hand editing your prompts. Hold down the dictation button and ramble for 10 minutes. Give the model every fragment, caveat, example, and vibe in your head. It is literally a large language model. If it’s superhuman at anything, it’s reconstructing latent intent from language.

@PeterDiamandis AI probably exceeds the sum of all human intelligence in 4 or 5 years

linus was the original vibe coder before it was cool. dude just posts an angry email on the mailing list describing what he wants and thousands of engineers worldwide implement it for free. zero tokens consumed, zero API costs, infinite context window (30+ years of kernel knowledge). openai and anthropic are basically trying to replicate what linus has been doing with human contributors since 1991 except linus's agents dont hallucinate and they work for free @sahill_og

Levie now uses Salesforce 5x more than at any point before. The Box CEO @levie connected Salesforce's MCP server to Claude Code. Now he runs customer and market intelligence queries he would never have bothered pulling up by hand. The agent removes the friction. The underlying system gets queried more, not replaced. If you hold $CRM, the agentic era is an engagement tailwind, not a disruption risk - gated on whether the data platform handles the query load. Why incumbents gain from agents: https://podcastalpha.substack.com/p/aaron-levie-on-ai-agents-for-cios Source: CXOTalk - https://www.youtube.com/watch?v=ylBDQHk3BhI

“Growth, when it’s accompanied by huge amounts of reinvestment and substandard gross margins, might not just be neutral to value, but actually be value destructive.” Aswath Damodaran joined Kai Wu on The Intangible Economy to explain why the biggest stories in markets still have to become businesses. They discuss: ☑️ His detailed valuation of SpaceX and how it compares to the current market valuation ☑️ Why total addressable market can be a trap for investors ☑️ Why AI’s unit economics may matter more than the size of the opportunity ☑️ How growth can destroy value when it requires massive reinvestment ☑️ Why AI is turning parts of big tech from asset-light businesses into infrastructure companies ☑️ Why great companies can still be bad investments at the wrong price

dot-com bubble vs. a possible AI bubble. From the famous "Dean of Valuation", Professor Aswath Damodaran, of NYU Stern School of Business, “And that’s the real big difference between the dot-com boom and bust and the AI boom. We don’t know whether there’ll be a bust. History suggests there will be a bust. The dot-com boom and bust had no huge capital expenditure in that cycle. In fact, there was very little traditional CapEx, or even R&D, driving it. People started apps. They basically started going on it. This has been the biggest infrastructure run-up I think I’ve ever seen in business. You can go back and compare it to the automobile business 100 years ago. The amount of money that’s being put into AI CapEx is immense, which means that when the correction comes, the pain will be more intense. And herein lies the second problem. The dot-com boom and bust was almost entirely equity-funded. You think, so what? Well, when the bust came, those shareholders lost 60%, 70%, 80%, or 90% of their money. You felt sorry for them, but the loss was restricted to the shareholders. The problem with the AI CapEx boom is that not only is it immense, but a big chunk of it is funded with debt, and the debt is coming from private capital rather than banks. There’s a very real chance that if there’s a correction and companies start having problems, that problem is going to show up as distress and default, and that really doesn’t stay restricted. It spills over into the rest of society. I’m not saying it’s going to be 2008, but 2008 is an example of what happens when lenders overreach, when they lend money at too low a rate, and the correction comes. The pain spills over. So that is my concern with this big market illusion: the potential societal cost of having to deal with debt coming due that you’re unable to pay. It’s much more painful than your share price dropping 90% and you feeling the pain." ---- From "Excess Returns" YouTube channel, (link in comment)

dot-com bubble vs. a possible AI bubble. From the famous "Dean of Valuation", Professor Aswath Damodaran, of NYU Stern School of Business, “And that’s the real big difference between the dot-com boom and bust and the AI boom. We don’t know whether there’ll be a bust. History suggests there will be a bust. The dot-com boom and bust had no huge capital expenditure in that cycle. In fact, there was very little traditional CapEx, or even R&D, driving it. People started apps. They basically started going on it. This has been the biggest infrastructure run-up I think I’ve ever seen in business. You can go back and compare it to the automobile business 100 years ago. The amount of money that’s being put into AI CapEx is immense, which means that when the correction comes, the pain will be more intense. And herein lies the second problem. The dot-com boom and bust was almost entirely equity-funded. You think, so what? Well, when the bust came, those shareholders lost 60%, 70%, 80%, or 90% of their money. You felt sorry for them, but the loss was restricted to the shareholders. The problem with the AI CapEx boom is that not only is it immense, but a big chunk of it is funded with debt, and the debt is coming from private capital rather than banks. There’s a very real chance that if there’s a correction and companies start having problems, that problem is going to show up as distress and default, and that really doesn’t stay restricted. It spills over into the rest of society. I’m not saying it’s going to be 2008, but 2008 is an example of what happens when lenders overreach, when they lend money at too low a rate, and the correction comes. The pain spills over. So that is my concern with this big market illusion: the potential societal cost of having to deal with debt coming due that you’re unable to pay. It’s much more painful than your share price dropping 90% and you feeling the pain." ---- From "Excess Returns" YouTube channel, (link in comment)

dot-com bubble vs. a possible AI bubble. From the famous "Dean of Valuation", Professor Aswath Damodaran, of NYU Stern School of Business, “And that’s the real big difference between the dot-com boom and bust and the AI boom. We don’t know whether there’ll be a bust. History suggests there will be a bust. The dot-com boom and bust had no huge capital expenditure in that cycle. In fact, there was very little traditional CapEx, or even R&D, driving it. People started apps. They basically started going on it. This has been the biggest infrastructure run-up I think I’ve ever seen in business. You can go back and compare it to the automobile business 100 years ago. The amount of money that’s being put into AI CapEx is immense, which means that when the correction comes, the pain will be more intense. And herein lies the second problem. The dot-com boom and bust was almost entirely equity-funded. You think, so what? Well, when the bust came, those shareholders lost 60%, 70%, 80%, or 90% of their money. You felt sorry for them, but the loss was restricted to the shareholders. The problem with the AI CapEx boom is that not only is it immense, but a big chunk of it is funded with debt, and the debt is coming from private capital rather than banks. There’s a very real chance that if there’s a correction and companies start having problems, that problem is going to show up as distress and default, and that really doesn’t stay restricted. It spills over into the rest of society. I’m not saying it’s going to be 2008, but 2008 is an example of what happens when lenders overreach, when they lend money at too low a rate, and the correction comes. The pain spills over. So that is my concern with this big market illusion: the potential societal cost of having to deal with debt coming due that you’re unable to pay. It’s much more painful than your share price dropping 90% and you feeling the pain." ---- From "Excess Returns" YouTube channel, (link in comment)