🚨RESEARCHERS JUST MATHEMATICALLY PROVED THAT AI LAYOFFS WILL DESTROY THE ECONOMY.. AND EVERY CEO ALREADY KNOWS IT.. BUT NONE OF THEM CAN STOP..
Two researchers from UPenn and Boston University just published a paper called "The AI Layoff Trap"..
They proved something terrifying..
Every company replacing workers with AI is also firing its own customers.. Every laid-off employee is someone who used to spend money.. When enough people lose their jobs.. Nobody can afford to buy anything.. And the companies that fired everyone go bankrupt selling products to an economy with no purchasing power..
Every CEO can see this coming.. The math is obvious.. Fire workers.. Lose customers.. Lose revenue.. Collapse..
But here's the trap..
No company can afford to stop..
If you don't automate.. Your competitor will.. They cut costs.. Undercut your prices.. Steal your market share.. And you die anyway..
So every company automates.. Knowing it's collectively suicidal.. Because the alternative is dying alone while everyone else survives..
It's a Prisoner's Dilemma.. And the researchers proved it mathematically..
The numbers are already stacking up..
Block cut nearly half its 10,000 employees this year.. CEO Jack Dorsey said AI made those roles unnecessary and that "within the next year, the majority of companies will reach the same conclusion"..
Salesforce replaced 4,000 customer support agents with AI..
Goldman Sachs deployed an AI coder that lets one senior engineer do the work of a five-person team..
Over 100,000 tech workers were laid off in 2025 alone.. AI was cited as the primary driver in more than half the cases..
80% of US workers hold jobs with tasks susceptible to AI automation..
And here's what should scare policymakers..
The researchers tested every proposed solution..
Universal Basic Income.. Doesn't fix it.. It raises living standards but doesn't change a single company's incentive to automate..
Capital income taxes.. Don't fix it.. They change profit levels but not the per-task decision to replace a human..
Worker equity and profit sharing.. Narrows the gap but can't close it..
Collective bargaining.. Can't fix it.. Because automating is a dominant strategy.. No voluntary agreement between companies is self-enforcing..
Only one thing works.. A Pigouvian automation tax.. A per-task charge that forces every company to pay for the demand it destroys when it fires a worker..
The researchers call it a "Red Queen effect".. Better AI doesn't solve the problem.. It makes it worse.. Because every company sees a bigger market share gain from automating faster than rivals.. But at the end.. Everyone automates equally.. The gains cancel out.. And the only thing left is more destroyed demand..
The paper's conclusion is devastating..
This isn't a transfer from workers to company owners.. Both sides lose.. Workers lose their income.. Companies lose their customers.. It's a deadweight loss that harms everyone..
And no market force can break the cycle..
The AI layoff trap isn't a prediction.. It's already happening.. And the math says it won't stop on its own.
Claude Code leaked their source map, effectively giving you a look into the codebase.
I immediately went for the one thing that mattered: spinner verbs
There are 187
Today we're introducing TRIBE v2 (Trimodal Brain Encoder), a foundation model trained to predict how the human brain responds to almost any sight or sound.
Building on our Algonauts 2025 award-winning architecture, TRIBE v2 draws on 500+ hours of fMRI recordings from 700+ people to create a digital twin of neural activity and enable zero-shot predictions for new subjects, languages, and tasks.
Try the demo and learn more here: https://t.co/VkMd1YpQWI
🏀 I built this PoC using a single 2D broadcast video: applied pitch detection, player positioning, and movement tracking to reconstruct the play in 3D and map it onto a real basketball court in XR.
Assuming we find more early galaxies that better account for the cosmic microwave background than the “big bang”, can any astrophysics friends even attempt to defend the old standard cosmological model? Does this not wholesale overturn our entire conception of the universe?
China is winning the race to Type 1 Civilization and we're not even aware it's happening.
By 2030, China will have the manufacturing capacity to build an entire U.S. worth of generation from solar and storage alone - every single year.
The flow of energy is what drives physical change in the world. Control over that flow is power. Sunlight on Earth is 10,000x as powerful as all human energy sources combined.
This is the Space Race of the 21st century, and it has the potential to lift humanity into an unprecedented era of abundance, but it will dramatically shift the balance of power globally.
The West needs to wake up and realize that the construction of TW scale solar manufacturing and TWh scale battery manufacturing is not about climate change.
Sunlight is >99.9% of Earth's energy budget. The tools that harness the power of the Sun are the tools that unlock power at planetary scale.
This is not a race that we can afford to ignore.
Dolphin-Logger lets you save the messages between your client and ChatGPT/Claude/Gemini!
$ pip install dolphin-logger
$ dolphin-logger init
$ nano $(dolphin-logger config --path)
$ dolphin-logger --port 5001
Now you can point your awesome clients (@cline, @continuedev, @OpenWebUI, @allhands_ai etc) to http://localhost:5001/v1 - and everything will be logged.
If you want to contribute your logs to the dolphin-logger dataset to train open source models, run `dolphin-logger upload`
(you can configure which @huggingface dataset your logs are uploaded to, in the config file, if you want to.)
I grew up in San Francisco, walking with my family by the Golden Gate Bridge. I still remember the thick and iconic chain railing that gave the place a sense of distinctiveness.
Now the chains are gone, and they've been replaced by a soulless metal railing that's colder than a hospital waiting room. I'm sure some bureaucrat somewhere justified it with a tidy spreadsheet, but they stripped away a little piece of San Francisco's soul in the process.
This is how a culture loses its charm: slowly, quietly... one small decision at a time.