A committee of MPs has warned against the involvement of US tech company Palantir in public services.
The Commons Science Committee said Palantir's role in the NHS and other departments is an "unacceptable point of weakness".
Scientists at the SETI Institute searched interstellar object #3IATLAS for signs of extraterrestrial technology using the Allen Telescope Array.
After analyzing ~74 million radio signals, they found no technosignatures—but demonstrated how powerful modern SETI searches have become.
#SETI #Astronomy
Learn more: https://t.co/yBfQ9tpnVi
@systems_andsoul@TheAtlantic@LSEsociology TY for reply & ack Madonna. As non-mathematician ongoing work to 'look' @ Hodges' model in math terms:
https://t.co/huFfEK9Rqd
Help needed. Consider PSYCHO-political relation too.
interfaceS
https://t.co/qwbB4cqIIV
systems
https://t.co/ehwaaknaRK
spaces
https://t.co/uAaeSMrFMf 🙏
DID YOU KNOW: Sequoia and redwood trees alive today were already mature when the Roman Empire was at its peak — the oldest living giant sequoias are over 3,000 years old, which means they were standing in California before the Parthenon was built in Athens, before Julius Caesar was born, and before the Roman Empire even existed.
Two economists just published a mathematical proof that AI will destroy the economy.
Not might. Not could. Will — if nothing changes.
The paper is called "The AI Layoff Trap." Published March 2, 2026. Wharton School, University of Pennsylvania. Boston University. Peer reviewed. Mathematically modeled.
The conclusion is one sentence.
"At the limit, firms automate their way to boundless productivity and zero demand."
An economy that produces everything. And sells it to nobody.
Here is how you get there.
A company fires 500 workers and replaces them with AI. A competitor fires 700 to keep up. Another fires 1,000. Every company is behaving rationally. Every company is following the incentives correctly. And every company is building a trap for itself.
Because the workers who were fired were also customers.
When they lose their jobs faster than the economy can absorb them, they stop spending. Consumer demand falls. Companies respond by cutting costs — which means automating more workers — which means less spending — which means more falling demand — which means more automation.
The loop has no natural exit.
The researchers tested every proposed solution. Universal basic income. Capital income taxes. Worker equity participation. Upskilling programs. Corporate coordination agreements.
Every single one failed in the model.
The only intervention that worked: a Pigouvian automation tax — a per-task levy charged every time a company replaces a human with AI, forcing them to price in the demand they are destroying before they pull the trigger.
No government has implemented this. No major economy is seriously discussing it.
Meanwhile the numbers are already tracking the curve. 100,000 tech workers laid off in 2025. 92,000 more in the first months of 2026. Jack Dorsey fired half of Block's workforce and said publicly: "Within the next year, the majority of companies will reach the same conclusion."
Nobody is doing anything wrong. Companies are following their incentives perfectly. That is exactly the problem.
Rational behavior. At scale. Simultaneously. With no mechanism to stop it.
Two economists built the math. The math leads to one place.
Source: Falk & Tsoukalas · Wharton School + Boston University ·
https://t.co/4m8E9jQNYm
🚨: You’re closer in size to the entire observable universe than to the smallest possible scale of reality—the Planck length—by roughly 400 million times.
Let that sink in.