u/wenhuizhao

Palantir CEO Alex Karp recently went on CNBC’s Squawk Box and delivered a brutal takedown of the API token pricing model pushed by commercial frontier labs like OpenAI and Anthropic.

His core argument is that American enterprises are quietly "livid" because they are burning massive cash on skyrocketed token costs without seeing a clear return on investment. He noted that the industry’s incentive structure has completely devolved into meaningless "tokenmaxxing"—essentially forcing companies to maximize token throughput for questionable value while potentially transferring away their unique data and "alpha" to black-box systems.

Key takeaways from Karp's interview:

• The ROI Crisis: Advanced models are scaling in cost faster than they scale in utility. Karp joked that enterprise culture has become: "I’m going to chillax and waste my time with tokens."
• The Shift to Sovereignty: Technical enterprise customers and government agencies (including Palantir's clients transitioning to Nvidia's open-weight models) want complete control over their compute, data stack, and weights. They want to own the "means of production."
• The Global Threat: Belittling the speed of open-source progress—and rapid acceleration from Chinese labs—is a massive mistake.

My Take:

I completely agree with Karp. Frontier labs have built a predatory business model that encourages enterprise customers to overspend on infinite token loops without any guaranteed business outcome.

The API token business is going to become a commoditized race to the bottom. Open-weight models are winning because enterprises realize they cannot afford to lease their intelligence. To survive, businesses have to own their data, own their model weights, and build efficient, custom architecture rather than continually paying a premium tax to a third-party lab.

What are your thoughts? Is "tokenmaxxing" officially dead, or are open-weight models still too far behind the true frontier to replace them?

Palantir CEO Alex Karp recently went on CNBC’s *Squawk Box* and delivered a brutal takedown of the API token pricing model pushed by commercial frontier labs like OpenAI and Anthropic.

His core argument is that American enterprises are quietly "livid" because they are burning massive cash on skyrocketed token costs without seeing a clear return on investment. He noted that the industry’s incentive structure has completely devolved into meaningless **"tokenmaxxing"**—essentially forcing companies to maximize token throughput for questionable value while potentially transferring away their unique data and "alpha" to black-box systems.

**Key takeaways from Karp's interview:**

* **The ROI Crisis:** Advanced models are scaling in cost faster than they scale in utility. Karp joked that enterprise culture has become: *"I’m going to chillax and waste my time with tokens."*
* **The Shift to Sovereignty:** Technical enterprise customers and government agencies (including Palantir's clients transitioning to Nvidia's open-weight models) want complete control over their compute, data stack, and weights. They want to own the "means of production."
* **The Global Threat:** Belittling the speed of open-source progress—and rapid acceleration from Chinese labs—is a massive mistake.

**My Take:**

I completely agree with Karp. Frontier labs have built a predatory business model that encourages enterprise customers to overspend on infinite token loops without any guaranteed business outcome.

The API token business is going to become a commoditized race to the bottom. Open-weight models are winning because enterprises realize they cannot afford to lease their intelligence. To survive, businesses have to own their data, own their model weights, and build efficient, custom architecture rather than continually paying a premium tax to a third-party lab.

What are your thoughts? Is "tokenmaxxing" officially dead, or are open-weight models still too far behind the true frontier to replace them?

Palantir CEO Alex Karp recently went on CNBC’s Squawk Box and delivered a brutal takedown of the API token pricing model pushed by commercial frontier labs like OpenAI and Anthropic.

His core argument is that American enterprises are quietly "livid" because they are burning massive cash on skyrocketed token costs without seeing a clear return on investment. He noted that the industry’s incentive structure has completely devolved into meaningless "tokenmaxxing"—essentially forcing companies to maximize token throughput for questionable value while potentially transferring away their unique data and "alpha" to black-box systems.

Key takeaways from Karp's interview:

• The ROI Crisis: Advanced models are scaling in cost faster than they scale in utility. Karp joked that enterprise culture has become: "I’m going to chillax and waste my time with tokens."
• The Shift to Sovereignty: Technical enterprise customers and government agencies (including Palantir's clients transitioning to Nvidia's open-weight models) want complete control over their compute, data stack, and weights. They want to own the "means of production."
• The Global Threat: Belittling the speed of open-source progress—and rapid acceleration from Chinese labs—is a massive mistake.

My Take:

I completely agree with Karp. Frontier labs have built a predatory business model that encourages enterprise customers to overspend on infinite token loops without any guaranteed business outcome.

The API token business is going to become a commoditized race to the bottom. Open-weight models are winning because enterprises realize they cannot afford to lease their intelligence. To survive, businesses have to own their data, own their model weights, and build efficient, custom architecture rather than continually paying a premium tax to a third-party lab.

What are your thoughts? Is "tokenmaxxing" officially dead, or are open-weight models still too far behind the true frontier to replace them?

The world, economy, and technology are changing so fast that traditional career blueprints might be completely outdated.

* **To the younger crowd:** Do you prefer human experience, or do you trust AI to navigate the modern landscape?
* **To the older crowd:** Do you feel your hard-earned wisdom is still valuable, or could it accidentally hold the younger generation back?

Being in my 40s/50s, I try not to give advice to young people. Life and careers look so different now in the AI age that my past experiences might not apply. I’m actually afraid my advice could do more harm than good, so I take the same hands-off approach with my own kids.

The world, economy, and technology are changing so fast that traditional career blueprints might be completely outdated.

• To the younger crowd: Do you prefer human experience, or do you trust AI to navigate the modern landscape?
• To the older crowd: Do you feel your hard-earned wisdom is still valuable, or could it accidentally hold the younger generation back?

Being in my 40s/50s, I try not to give advice to young people. Life and careers look so different now in the AI age that my past experiences might not apply. I’m actually afraid my advice could do more harm than good, so I take the same hands-off approach with my own kids.

20 years of chronic insomnia. Most nights still bad. Sleep meds, CBT-I, lifestyle floor. Done all of it.

But somewhere along the way I noticed there's this small, specific shortlist of situations where I unexpectedly drift off. Not "I can sleep anywhere." Most of my life I actually can't sleep at all. Just these 2-3 specific weird ones.

The big one: Wednesday afternoon, post-lunch slide deck. Conference room is warm, lights are down for the projector, somebody's twelve slides into Q3 attribution. I'm actually trying to follow. I want to know the numbers. But around the twenty-minute mark my eyelids start doing this slow involuntary thing. I press the pen into my palm. The lukewarm coffee isn't doing anything. Open the laptop, pretend to take notes. Doesn't matter. Forty minutes in, my coworker elbows me because somebody asked me a question and I have no clue what it was.

The other one: a movie I picked on a Sunday afternoon because I genuinely wanted to watch it. Twenty minutes, gone.

And then at 11pm, in the bed I literally bought to sleep in? Wide awake. Espresso-level wide awake. Doesn't matter how exhausted I was at 4pm. Bed flips a switch.

I don't really know what to make of it. Best guess is something about expectation. The meeting and the sofa are places where there's no pressure to sleep, so I drift. The bed is where I'm supposed to. So I don't. But that feels too tidy.

Do you have a list like this? What are the rare places where your insomnia briefly lifts? I'm curious if there's a pattern.

20 years of insomnia here. Took me a stupidly long time to notice this one: I have zero problem drifting off in places where I'm not supposed to be sleeping.

Wednesday afternoon, the post-lunch slide deck. Conference room is warm, lights are down for the projector, somebody's twelve slides into Q3 attribution. And I'm actually trying to follow. This isn't a "boring meeting I don't care about" thing, I want to know the numbers. But around the twenty-minute mark my eyelids start doing this slow involuntary thing. I press the pen into my palm. The lukewarm coffee isn't doing anything either. Open the laptop, pretend to take notes. Doesn't matter. Forty minutes in, my coworker elbows me because somebody asked me a question and I have no clue what it was.

Sunday afternoon, a movie I picked because I genuinely wanted to watch it. Twenty minutes, gone.

But 11pm, in the bed I literally bought to sleep in? Wide awake. Espresso-level wide awake.

The way I've started thinking about it is my bed turned into a Pavlov bell at some point, except the wrong way around. Twenty years of lying there trying and failing had taught my body that getting into bed was the cue to be alert. Not to wind down. The places I drift off easily aren't more relaxing. They're just places where there's no expectation. Nothing to fail at.

Anyone else have this? Where do you accidentally fall asleep most easily? And does the gap between "supposed to sleep" and "actually fall asleep" feel like the central weird thing about insomnia for you too, or is that just me?