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Category: economics

Polis declares statewide drought emergency

Gov. Jared Polis on Thursday declared a statewide drought emergency, citing the record-low snowpack and prolonged warmer temperatures across Colorado.

He also activated the next phase of the state’s drought response plan. Polis had placed Colorado under Phase 2 in March.

“Today, I am issuing a statewide drought emergency to support Coloradans, our economy, farmers and ranchers, and outdoor enthusiasts in the face of one of the most severe droughts in Colorado’s recorded history. With every county in the state experiencing drought conditions, activating Phase 3 of our Drought Response Plan allows us to better coordinate agencies, prepare for worsening conditions, and support Colorado communities, agriculture, water users, and our environment,” he said in a statement. “State agencies will do their part to reduce water usage at state facilities and I encourage every Coloradan to use water wisely.”

The New Gold Standard: When AI Tokens Become the Currency of the Future

I’ve spent years watching finance and technology slowly adapt to one another, but the shift we’re looking at right now is going to change the entire landscape overnight. We need to stop thinking of AI as just a software tool or a cool shortcut for writing emails. We are officially entering an era where computational power is a foundational global commodity—and the standard unit of that commodity is the AI token.

Think of it like digital energy. Just as factories consume kilowatt-hours of electricity, modern enterprises now have to “burn” tokens to power their workflows. In my latest piece, I break down the massive hidden risk of letting a few Big Tech hyperscalers control both the production of this raw material and the infrastructure of exchange. This is where the banking sector has to step in, not just to cut their own costs, but to act as the ultimate market makers for artificial thought.

I dive deep into how banks will soon offer token futures markets—allowing companies to hedge their computing costs the exact same way airlines hedge aviation fuel—and how autonomous AI agents will soon be transacting with each other using tokenized value. The institutions that build these financial rails now will own the next century of commerce, while the rest risk being left behind in an aging system.

Click through to read the full breakdown on how the machine-to-machine economy is actually going to work!

(https://www.linkedin.com/pulse/new-gold-standard-when-ai-tok…Resilience over Political Influence: History shows that attempting to lobby a system to be “less exploitative” rarely works because the system is designed for extraction. True survival in this model might mean finding “off-grid” pockets where the resource demand is low enough to fly under the AI’s radar, or where the land is unsuitable for massive data centers.

I have spent a significant portion of my career watching the tectonic plates of finance and technology grind against each other. Usually, it is a slow, methodical process—a gradual shifting of legacy systems adapting to new digital realities. But every so often, a shift occurs that is so profound, it completely redefines the landscape overnight. We are standing on the precipice of one of those shifts right now.

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Jacque Fresco: Apply the Methods of Science to the Social System!

I have to confess something about this interview.

I really liked Jacque Fresco. Not as a thinker I was supposed to admire, but as a person: the humor, the humility, the scientific curiosity still burning at 97.

That made the disagreements harder, not easier.

Fresco spent almost a century arguing one idea. We apply the methods of #science to engineering, to medicine, to flight. Then we run our economies and our politics on opinion, tradition, and the preferences of the financial elite.

He thought we had it exactly inverted. Rigor for the machines, guesswork for the humans.

“Technology was never the hard part. The harder question is what kind of society we want it to serve.”

Continue reading “Jacque Fresco: Apply the Methods of Science to the Social System!” | >

John Nash (1928−2015)

John Nash was born on June 13, 1928, in Bluefield, West Virginia, a former coal town nestled deep in the Appalachian Mountains. As a young boy, Nash was solitary, bookish, and introverted. His father, John Sr., was a quiet engineer with an incisive mind. His mother, Virginia, also intelligent, was a former teacher who had large dreams for her son, pushing him to read at four, learn Latin, and skip a grade at school.

The first hint of John Nash’s math talent came in fourth grade, when a teacher told Virginia that the boy couldn’t do the math. Virginia laughed, well aware that her son was going down his own path to solve the simple problems. In high school, John solved his teachers’ clunky proofs in just a few elegant steps. He was one of ten nationally awarded winners of the George Westinghose Award, which provided him with a full scholarship to the Carnegie Institute of Technology. He hopped from engineering to chemistry before discovering his passion: mathematics.

He was accepted into Princeton University, which at the time was to mathematicians what Detroit was, and still is, to cars. Nash first wowed his peers with an elegantly playable board game, which his peers dubbed “Nash,” but later reached the market as Hex. He then absorbed himself in one of the sexiest math fields of the day, game theory, which described strategies in competition, whether in card games or business. His deceptively simple doctoral thesis would later re-orient the field of economics, although no one, not even Nash, predicted its potential.

Anthropic CEO Dario Amodei Talks Scaling Laws, AI Arms Races, and Radical Abundance

This video features a conversation with Dario Amadei, CEO of Anthropic, discussing the intersection of AI and economics. Viewers will gain insights into how technological innovation impacts business processes and models, the future landscape of AI companies, and the potential societal ramifications of advancements in AI technology. The main theme emphasizes the evolving dynamics between innovation and established business strategies in the AI sector, as well as the importance of understanding how these changes affect both markets and society.

⚠️ The X-Ray We Keep Refusing to Read

The fractures aren’t in our biology. They’re in our agreements, our economic systems, and our willingness to extend the definition of “us” to include the health minister in a lower-middle-income country holding a terrifying lab result and staring at a phone they are afraid to pick up.

A world on the edge global pandemic preparedness

A world on the edge – Priorities for a pandemic-resilient world, 2026 GPMB report

GHS Index: Homepage

Ex-OpenAI Scientist WARNS: You Have No Idea What’s Coming In 5 Years

Ilya Sutskever, co-founder of OpenAI and founder of Safe Superintelligence, says the scaling era from 2020 to 2025 is over, that pre-training will run out of data, and that the industry is back to pure research with more companies than ideas. He argues that AGI is the wrong target what is actually coming is a learning algorithm that can take any job, learn it on the fly, and merge that knowledge across millions of simultaneous instances in a way humans cannot, producing rapid economic growth that regulation is unlikely to stop.

He predicts that once AI becomes visibly powerful, frontier companies will become paranoid overnight and governments will scramble, and says the only thing worth building is an AI aligned to sentient life broadly — not human life alone — because the AI itself will be sentient and will vastly outnumber humans within 5 to 20 years.

📚 Sources cited in this video:

Safe Superintelligence Inc. – Company Overview https://ssi.inc.

OpenAI, Founding Charter and Mission https://openai.com/charter.

Ilya Sutskever, Google Scholar – Research Publications https://scholar.google.com/citations?…

⚠️ DISCLAIMER: This channel provides AI commentary and analysis for educational and informational purposes only. Views expressed by guests are their own and do not represent the positions of any company or institution. We encourage viewers to consult multiple sources and form their own conclusions. #ai #agi #artificialintelligence.

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Peter Joseph: We Are All Subjected To The Same Natural Law System

13 years ago, I sat down with Peter Joseph, musician, filmmaker, and founder of the Zeitgeist Movement.

His argument was simple, and uncomfortable: the system we live under (debt-based money, work-for-survival economics, infinite growth on a finite planet) isn’t broken. It’s working exactly as designed. And it’s running out of runway.

In 2013, this sounded radical. In 2026, it sounds like a weather report.

We covered a lot of ground in 75 minutes: the Resource-Based Economy, the role of Artificial Intelligence in managing scarcity, the schism between Zeitgeist and the Venus Project, sustainability, central planning, and the technological singularity itself.

You don’t have to agree with Peter to take the conversation seriously. I don’t agree with all of it. But the questions he was asking back then are the questions we’re being forced to ask now, except we’re asking them in an era when AI systems can actually do things he could only theorize about.

The technology has caught up with the critique. The philosophy hasn’t caught up with the technology.

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AI-Based Cancer Models in Oncology: From Diagnosis to ADC Drug Prediction

Introduction Artificial intelligence (AI) has been influencing the way oncology has been practiced. Major issues constituting a bottleneck are the lack of data for training purposes, confidentiality preventing development, or the absence of transparency in clarifying how models operate to generate decisions. Novel Models With explainable AI, trust and utilization barriers among clinicians, researchers, and patients can be removed. With the implementation of federated learning, multiple institutions could contribute to crucial dataset’s learning information. Precise diagnosis and prescription of the right drug are essential in preventing unnecessary life losses, and economic burden to the underling system.

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