Palantir's CEO just exposed Sam Altman and Dario Amodei for robbing every Fortune 500 company.
Within two minutes, Alex Karp took the entire frontier AI industry apart on national television.
His exact words:
"Every single enterprise in this country, these people are LIVID. They are paying for tokens that create no value. These people are stealing the weights and alpha of my business."
He literally said the entire frontier AI business model is intellectual property extraction dressed up as a subscription.
Then he also destroyed the pricing model with a single question that Silicon Valley still refuses to answer:
"If it was so valuable, let's say I can make you $1 billion tomorrow. Wouldn't I say I'll make you $1 billion and I want 30 percent? Why are they charging for tokens if it's so valuable?"
That question breaks the industry.
If OpenAI and Anthropic's models truly delivered the productivity gains the labs claim, they would take equity or a share of the profit they generate. They would not sell access by the million tokens.
Token pricing is itself the CONFESSION that the product cannot produce reliable value at scale. If it did, they would price for the value. But they price for the compute because that is what they are actually selling.
Karp went even further...
He called the entire arrangement "a wealth tax that does not help the poor. It just punishes."
American businesses are transferring the alpha of their operations, meaning the workflows, the customer data, the strategy memos, the internal models that make them competitive, directly into the training pipelines of a handful of Silicon Valley labs. Once those labs retrain, the customer's own edge becomes the next enterprise product sold back to their competitors.
And the part the AI industry does not want anyone thinking about:
Every enterprise running its confidential documents, its customer conversations, and its financial models through a frontier model is potentially teaching that model HOW to replace them.
The vendor collects the token fee AND the compounding intelligence about that customer's business. That is the mechanism. And that is why Karp used the word "stealing."
He claims this is why every executive he meets is furious in private and silent in public. Nobody wants to be the CEO who called out the labs and then discovered their next competitor was built on their own leaked workflows.
The entire AI industry has been priced for perfection on one assumption:
That frontier labs produce durable, defensible value that justifies infinite compute spend.
But Karp just told us that the customers do not believe that assumption anymore. They believe they are being taxed without benefit, watched without consent, and copied without recourse.
The moment enterprises stop believing, the whole valuation stack shakes.
Met a guy making $1.4 million a year as a prompt engineer.
I asked him how he learned prompting so well.
He sent me a video that was never supposed to get out. Andrew Ng's 2 hour prompting course.
You wont find anything better about prompting than this video.
I watched it last night.
Halfway through, I realized I have been using Claude completely wrong for years.
Bookmark and watch this today.
JUST IN: Scientists say AI has decoded communication patterns in mice, dolphins, apes, birds, whales, & cuttlefish — could eventually lead to humans communicating directly with animals.
🚨❌ 2,700% TAX INCREASE in just 60 years — while houses rose only 2,000%, food 900%, and clothing 478%.
Canadians now pay more in taxes than housing, clothing, and food COMBINED.
45% of our entire $2.7 trillion GDP goes straight to government.
The average family shells out $47,000 a year in taxes — that’s 43% of their income.
We are one of the most taxed jurisdictions on Earth… and Canadians are done.
This is why the cost-of-living crisis feels impossible.
Who else is fed up with this?
I know @hrh_elliot is !
#canadianpolitics #cdnpoli #taxpayer #governmentspending #costofliving #taxes
Voice Cloning is now live via the xAI API!
Create a custom voice in less than 2 minutes or select from our library of 80+ voices across 28 languages to personalize your voice agents, audiobooks, video game characters, and more.
https://t.co/EjxjXssQtd
Nvidia CEO Jensen Huang says don't listen to CEOs with a god complex on AI (lol, Dario) $NVDA
On AI destroying jobs: "these kind of comments are not helpful .. somehow they became CEOs, you adopt a god complex and before you know it, you know everything"
"ground ourselves to talking about the facts" AI will "generate hundreds of thousands of jobs .. trillions of dollars [to the U.S. economy]"
🚨 BREAKING: A new role is quietly emerging and it’s about to dominate the next 5 years.
It’s not “AI engineer.”
It’s not “prompt engineer.”
It’s the Agent Operator.
And it will sit inside almost every organization.
Most people are still thinking about AI as a tool.
That framing is already outdated.
What’s actually happening is a shift from:
humans using software to humans managing autonomous agents that execute work
This is a fundamental redesign of how work gets done.
So what is an Agent Operator?
An Agent Operator is the person who:
• Designs how agents interact with real workflows
• Connects tools, data, and systems into agent pipelines
• Translates business problems into executable agent behavior
• Monitors, corrects, and improves agent performance over time
They don’t just “use AI.”
They orchestrate outcomes.
and this matter because
Every function marketing, legal, finance, biotech is becoming “agent-compatible.”
Not because companies want it.
Because they won’t have a choice.
Agents can:
• Run research loops
• Execute multi-step workflows
• Integrate across tools without APIs breaking the flow
• Operate 24/7 at near-zero marginal cost
The bottleneck is no longer capability.
It’s implementation inside real-world systems.
Required skills for AI Agent Operator role:
→ MCPs (Model Context Protocols)
Understanding how agents access tools, memory, and structured context.
→ CLIs (Command Line Interfaces)
Because serious agent workflows won’t live in GUIs—they’ll run in programmable environments.
→ Writing skills (the file kind)
Clear specs, instructions, and structured documents.
Agents run on precision, not vibes.
→ agents dot md fluency
The ability to define agent roles, constraints, memory, and tool usage in persistent formats.
→ Business acumen
Knowing what actually matters:
Where automation creates leverage, not noise.
What happens next
Enterprises will begin to redesign workflows:
Not around employees using dashboards…
But around agents executing tasks.
That means:
• SOPs → Agent playbooks
• Teams → Human + agent hybrids
• Tools → Composable agent systems
When that shift happens, companies won’t just need engineers.
They’ll need operators who understand both the system and the business.
The leverage is asymmetric
One strong Agent Operator can:
• Replace fragmented SaaS workflows
• Multiply team output without adding headcount
• Turn ideas into execution systems in days
This is not incremental productivity.
It’s operational transformation.
🚨 CEO of Nvidia: "I'd hire the graduate who's expert in AI over the one who isn't. Every time"
he's not talking about people who use AI
everyone uses AI.
he's talking about people who know the stack.
agents. frameworks. tools. workflows.
Bookmark it.