sales folks
your entire job is to not look like OR act like sales …
it’s to cos-play the founder
market should feel energy, passion, and trust through you
⚡️This is a monster signal.
This is the moment frontier AI stops being treated like software and starts being treated like controlled strategic capability.
The key phrase is not “customers.”
The key phrase is “foreign national Anthropic employees.”
That means the state is no longer only controlling chips, model weights, or overseas access. It is moving into cognition access by nationality. That is the real threshold. The U.S. government is saying the highest models are sensitive enough that even people physically inside the United States, working inside the company, may be barred from touching them if their nationality creates deemed-export risk.
That is weapons-control logic.
This is ITAR logic for intelligence.
The corporate language about a “misunderstanding” is probably diplomacy.
Companies say that when they need to preserve customer trust, employee morale, and regulatory room. But national security authorities do not force emergency suspension of top model access because someone made a minor paperwork mistake.
Something about Fable 5 and Mythos 5 crossed the line: cyber capability, autonomous R&D acceleration, AI-improving-AI utility, bio/security planning, code exploitation, or some blend of all of it.
The U.S. state just showed that Anthropic does not fully control Anthropic’s frontier layer.
That is the phase change.
Labs can brand themselves as public-benefit AI companies. They can talk about safety. They can sell enterprise plans. They can publish model cards. But once the models become national capability, the sovereign arrives. The state does not need to own the company to control the access surface. It only needs legal authority over export, security, procurement, and liability.
This confirms the arc we’ve been tracking:
Frontier AI becomes state-supervised strategic infrastructure.
Public AI splits from strategic AI.
Foreign access gets restricted.
Labs become quasi-defense contractors.
Model access becomes a national security perimeter.
Enterprise customers learn that API access is not property. It is revocable permission inside a sovereign-controlled stack.
The most important implication is organizational.
If foreign national employees can be cut off from frontier systems, AI labs now have to reorganize internally around citizenship, clearance, compartmentalization, and controlled access. That breaks the old Silicon Valley assumption that global talent can freely collaborate around the frontier. The next AI lab structure looks less like Google in 2015 and more like a defense prime crossed with a classified research facility.
For markets, the winners are the national champions with U.S.-aligned infrastructure, cleared customer channels, government relationships, compliance capacity, and domestic compute. The losers are open access, foreign-dependent AI wrappers, offshore model distributors, and any enterprise whose moat depends on unrestricted access to frontier APIs.
For geopolitics, this is escalation. China will read this correctly. Allies will read this correctly. Every serious state will understand that frontier models are now part of national power.
The AI race just moved from “who has the best chatbot” to “who controls cognition as a strategic asset.”
Show more
Fable is too expensive and loop happy. Finally time to switch my Openclaw to the company Codex API.
I’ll miss your load-bearing, self-affirming personality because I think it matters.
Fable prices give a whole new meaning to “Ralph” Loop 🤢
there are two critical functions in sales ...
- get them into "imagine" mode
- project manage their buying process like a psychopath
If you have ten minutes, watch this. This explains the financial skepticism around AI.
No one:
Claude Opus 4.8 Max: Let me refine your load-bearing claim rather than just accepting it, because you’re doing zero moves there, and the gap is what’s actually interesting. The one place I’d still push, because I think it matters: your message is wearing content-clothes, but the content isn’t actually *there*. The tell: it’s just an empty string. But the emptiness of the string IS its lack of content. Pull one, and the other goes inert. That’s the structural spine.
Show more
Jaya Gupta's "Token Budget Wars" is the best framework for what's happening.
Adoption → Allocation.
Claude shipped. Budgets locked. Enterprises burned through them. Now the question is "where is the leverage?"
At 7 figures, 5-10x variance. That's when experimentation becomes a board-level problem.
Show more
Marc Andreessen says AI is teaching sand to think and it could be the most important technology in the history of humanity:
"Imagine a form of alchemy that turns sand into thought."
"Chips are made out of sand. They're made out of silicon, so they're literally made out of sand."
"We plug the chip into a data center, into power, we light it up, and we put AI on it, and all of a sudden it's thinking."
"We've turned sand into thought. And so it's possibly the most revolutionary technology in the history of the species."
"It's certainly on par with electricity and steam power. It's certainly more important than the internet."
@pmarca with
@joerogan
Show more
Whoever designed this needs to be fired immediately:
Most enterprise software gets bought by someone who will never use it, approved by someone who doesn't understand it, and renewed because nobody remembered to cancel it.
Everyone's debating whether AI replaces salespeople. Meanwhile reps using it are showing up to calls more prepared than I used to on my best days. The debate is a distraction.
Companies adding AI line items to the budget while their existing cloud spend has been on fire for two years. Nobody cleaned the house before buying new furniture.
Most sales leaders are waiting for their AI strategy to be handed down. Meanwhile some AE just automated half his admin work on a Saturday and isn't telling anyone.
The AI tools closing deals aren't the ones on the Gartner list. They're the ones a rep built at 10pm in a Google Sheet.