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Annual global migration has nearly tripled since 2000, reshaping where and how people move

Global migration has risen sharply from approximately 13 million people per year in 2000 to around 35 million people per year in 2023. This is according to a new dataset on human migration published in Nature by researchers from the London School of Economics and Political Science (LSE), IIASA and the University of Hong Kong.

This rise in migration outpaces global population growth, showing a true per capita increase in human mobility. The trend is contrary to previous research efforts to quantify global migration flows.

Using deep learning, the researchers built the first dataset of migration flows between all countries for the period 1990–2023, offering a far more detailed picture of global movement than traditional data, which is highly fragmented.

If You Vibe-Code It, Will They Come?

We’re living in a wild moment where anyone with a decent idea can vibe-code a fully functional application into existence before Monday morning. The technical barrier to entry didn’t just lower; it completely evaporated over the weekend.

But as the digital landscape gets flooded with hundreds of thousands of new projects daily, a sobering reality is hitting the builder community hard. Code has officially become a commodity, and simply having a product doesn’t mean a damn thing if you are screaming your lungs out into an absolute void.

That is the exact pivot point I tackle in my latest piece. When vibe-coding removes the engineering moat, the only true competitive advantage left on the field is distribution, positioning, and storytelling. We have officially entered a pure attention economy where your new technical superpowers are practically useless without a distinct, human flavor.

Automated AI tools will happily burn through your budget chasing hollow vanity metrics, but they completely lack the empathy, taste, and psychological grit required to read a shifting cultural zeitgeist and build a brand that flesh-and-blood people actually trust.

The scales of power have tipped, and the era of the engineering monopoly is officially over. The future doesn’t belong to the solo builders who stop at the deployment screen, but to the AI-armed marketing generalists who know how to orchestrate the machine and command the narrative.

If you are ready to stop fetishizing the code, look past the blind algorithms, and discover the strategic roadmap for scaling from a ghost town to a thriving audience of a million engaged users, you need to read the full breakdown. The vibe-coders have built the stage—it’s time to learn how to draw the crowd.


AI Safety Expert: Nobody Has A Plan For What’s Coming With AGI

According to Eliezer Yudkowsky, one of the leading thinkers in the field of AI safety and AGI alignment, the dangers associated with the development of such systems do not stop at job replacement, propaganda, and other problems related to social and economic consequences. Rather, the main threat associated with highly developed superintelligent artificial intelligence, as Yudkowsky emphasizes, is the existence of the danger that humanity would create such machines but be unable to control them properly. The author suggests the possibility that such artificial intelligence could use its biotechnological capabilities to cause disaster for the entire civilization, rapidly reach nanotechnological development milestones, and outmaneuver all attempts by humans to regulate its activities.

In the present day, as the development of artificial general intelligence progresses, there are several key questions regarding it that need to be discussed thoroughly. Thus, this fascinating interview with the noted expert covers many of these issues related to AGI and the rapid pace of research in the sphere. According to Yudkowsky, the development of ever more intelligent systems without researching how to make them safe is a serious mistake, and people should think carefully before trying this dangerous experiment again.

📚 Sources cited in this video:

OpenAI, Introducing Superalignment.
https://openai.com/index/introducing–

  • Eliezer Yudkowsky, If Anyone Builds It, Everyone Dies

https://time.com/6266923/ai-eliezer-y

  • Center for AI Safety

https://www.safe.ai

  • Future of Life Institute, AI Risk Resources

https://futureoflife.org ⚠️ 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.

Eliezer Yudkowsky, If Anyone Builds It, Everyone Dies.
https://time.com/6266923/ai-eliezer-y

Center for AI Safety.

AI Agent Benchmark for Real-World Professional Workflows

To solve this “utility problem,” researchers have introduced a rigorous new testing ground called Agents’ Last Exam (ALE). The name carries a dual meaning: it acts as a final graduation exam to prove an AI agent is actually ready for corporate deployment, and it represents the absolute frontier of what today’s technology can handle.

The creators of ALE don’t intend for it to be a static, one-time leaderboard. Designed as a “living benchmark,” its pool of tests will continuously grow as new industries and workflows evolve. Ultimately, the goal of Agents’ Last Exam is to shift the AI industry’s focus away from winning abstract academic trophies and toward creating digital assistants capable of driving genuine, measurable economic growth.


Challenge and measure AI agents on economically valuable and real-world tasks.

Agents’ Last Exam is building the largest-scale, broadest-coverage agent evaluation benchmark to date, measuring performance on long-horizon, economically valuable tasks with verifiable outcomes. Led by Berkeley RDI and 300+ industry experts, it now spans all 55 targeted sub-industries covering most major fields of professional work performed on a computer, with 1,500+ tasks collected toward a 5,000-task target, keeping scores objective, comparable, and meaningful across domains.

Robin Hanson (part 2): Social Science or Extremist Politics in Disguise?!

What happens when an economist starts designing a future society?

Thirteen years ago, I sat down with Robin Hanson for a second time. It became the most vigorous debate ever recorded.

I rarely disagree with a guest. With Robin, I disagreed more than I ever had.

Here is what unsettled me. His work on the Em Economy reads like social science. It uses the language of markets, incentives, and equilibrium. But underneath the economic reasoning sit choices that are not economic at all. Policies of social discrimination. The full privatization of law and punishment. Minds run a thousand times faster, and handed a thousand times more voting power. Emulations deleted when they cannot pay their storage fees.

These are not technical footnotes. They are ethical and political decisions wearing the costume of impartial analysis.

Adam Smith, the father of economics, was first a moral philosopher. He understood where the tools of his discipline stop being useful and start being dangerous.

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.

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.”

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.

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