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In the AGI Era


'Sentience', a Green AI Question

To be (sentient), or not to be (sentient)

That is the question

Cogito, ergo sum


Artificial Intelligence Is Here, for Good & Bad

Green Perspectives on AI and Human Consequences


AI Agents, Bots, Data Centers & Systems

Measure Their Performance, not Their Corporate Marketing


Revealing research on how people use Claude AI in the 'real world'

Anthropic-enabled Case Study / August 2026

 

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Climate Action Plans, Green Best Practices

Using AI to Identify and Implement Climate Change Intervention 'Best Practices'


'AI Agentics' are Launching Across Industries, Sector-to-Sector -- and Green AI is in the Wings


Meanwhile, Capital-Investment Rich A.I. is Everywhere, in the Colloquial, Middlebrow and Vernacular

It's Here. It's All Around. What's Real? What's Fake?


Beyond Online Surveillance, Now Comes A.I. Powered Surveillance

Add in Data Centers, Cameras/Firmware/Software, Palentir-esque Programming and ... a Booming Industry


Where are you? There it is ... Online and now systems increasingly observing/monitoring you offline ...


Already a human rights / Constitutional rights issue of our time

The geopolitics of U.S. v authoritarian governments comes forward as a personal and national security threat


A.I. ... Looking for you and your whereabouts, your time, your data, your 'record', your social quotient


Definitions

AI Definitions


Dangerous

Deepfake | AI Gloss | AI Hallucination


Monetized Media

'A.I. Slop' on Social Media is just the beginning of a Slop Assault | AI Slop


2026


October 2026


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"Thought for the Day"

October 1, 2026

In a recent series of private meetings in San Francisco, after a tasting menu dinner, Anthropic consulted religious scholars to help instill morality into its A.I. models ... a case was being made that Claude could be or become conscious.

What would it mean for humanity’s future if artificial intelligence systems possessed a consciousness that rivals our own?


Claude's 'Constitution'


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September 2026


'Table Stakes' -- Who Was at the Table with the U.S. President

The Future of A.I. Is Being Wagered


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What Jacob Coxon Knows Is Too Much

... And Not Enough



He Helped Build Powerful AI at OpenAI and Anthropic. Now He's Afraid It Could Kill Us


Please HAL... Open the door...


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The most ambitious data center buildup anywhere on earth ...


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News Wrap / Sam Smith (Journalist)

Via Axios

September 13, 2026


Over nine startling hours yesterday (Sept. 11), the four biggest AI labs — which rarely agree on anything — set aside years of feuds and competition to endorse a slower development pace for their models.

Their new stance: Prioritize safety over growth, even at a cost.


Data centers are unpopular. People are panicked about doom scenarios. And 51 days before midterms, legislators suddenly realize there are points to be won by cracking down.
Against that backdrop, the industry's most powerful CEOs hit the brakes yesterday.
At 10 a.m. ET, Anthropic CEO Dario Amodei dropped a 3,800-word essay saying model development needs to be paced, otherwise doom scenarios are possible — like a rogue-agent takeover of the entire internet, which he said could be as soon as six months from now.
An hour later, SpaceX CEO Elon Musk shocked the AI chattering class by quoting Amodei's essay on X and saying "Dario is right." Musk — who heads SpaceXAI, formerly xAI — had pointedly not joined previous industry-wide calls for any kind of slowdown.
At 12:30 p.m., OpenAI CEO Sam Altman tweeted: "I agree with Dario that we need to pace the frontier." In a Friday interview that was released on Saturday, Altman told Fortune his company won't go public this year, dashing hopes for a blockbuster IPO. He said OpenAI has too much safety work to do and would be better off doing that as a private company.
At 7 p.m., Demis Hassabis — the Nobel laureate who co-founded and chairs Google DeepMind, and is Alphabet's chief scientist — tweeted: "Dario's essay points towards the right path forward. The details need working through, but the direction is correct for meeting this critical moment."


Publicly putting safety ahead of technological or financial growth may be the industry's only route to avoid a crackdown that's not on its terms.

Legislators are begging House Speaker Mike Johnson (R-La.) to stay in session and do something about the "threat" of AI.

The more extreme alternative is something like Sen. Bernie Sanders' (I-Vt.) push to force a pause and make the most advanced AI illegal.

Most people realize there's too much money at stake to just stop. But the tradeoff may be between historic riches and slightly less historic riches.

The bottom line: Yesterday may go down as the day AI changed — when industry moguls vowed to limit themselves.


References:


Jim VandeHei

"All Hands on Deck"

The White House, Congress and the country's leading AI companies have allowed AI to grow faster, stronger, more powerful and wildly lucrative (and dangerous), with no serious effort to control it or spread the benefits beyond the super-wealthy.

It's not too late to change this. But if they all dither, duck or dance around it, the chances of AI worst-case scenarios will explode, likely early next year, according to almost every person we talk to privately who truly understands AI.

Why it matters: The technology is getting better, faster than anyone envisioned — with the possibility rising that AI will self-improve and do wildly unpredictable things.

The good news: There's now a growing public cry for attention and action and, at least in private, a broad understanding of what could be done relatively fast with bipartisan and industry buy-in.

The big picture: In July, I wrote an essay for The Wall Street Journal saying America "faces one of those rare, historic moments when government, business, schools and families could be working together to meet a truly generational challenge: winning the AI race. So far, we're blowing it."

Two short months later, the technology is vastly better — and the societal response vastly dumber. As a nation, we're choosing to amuse or distract ourselves.

Here's how to change that fast, based on our months of conversations with lawmakers, White House officials and AI labs. Think of what follows as me channeling their private views:

Sound an all-hands-on-deck alarm. Every political topic is trivial and small compared to AI. We will look back in shame if we get spooled up about trans bans or $5,000 checks when countless AI insiders are warning of catastrophic outcomes. Let's say they're all paranoid and delusional. If so, it still doesn't matter: we've never seen this much investment in one technology this fast in human history. It's seeping into every industry and every job and every community and every screen, at a speed never before witnessed by man. Yes, we need a special session of Congress and select committees. But we need even more: AI execs, bioterror specialists, job-training wizards and safety experts convening to plan for scenarios and act fast.

An AI governing body with teeth and speed, ASAP. This isn't rocket science. Most major labs want this and would agree to it, as long as it applies to all rivals and competitors. This body would need the expertise to understand these models, and the power to review and shut them down if they display dangerous behavior. It can't operate at typical regulatory speed — it needs to move as fast as the technology. It's nonsense to think you can't advance AI development fast and regulate it wisely simultaneously.

A universal standard for data centers to benefit communities and taxpayers. The top AI companies would take this deal in a heartbeat: They get to build and operate data centers provided they supply a community's energy, offset water use or environmental damage, transparently report on their building and business plans, and spread the financial benefits to local residents. These execs are spooked by the public backlash and ready to aggressively spread the financial benefits, with dividends or cash. So make them.

Engage China. We shouldn't trust them, and they shouldn't trust us. But trust me: the only way to ultimately control AI on a worldwide scale in coming years will be for the two superpowers to create some kind of framework modeled after how we've safely governed nuclear weapons for decades. We need to start this discussion now so potential collaboration is possible in the coming years. To those who think China will never consider this seriously: Are you sure an authoritarian regime really wants AI once it hits recursive self-learning and can't be controlled by anyone, including an autocratic regime? We're winning the AI race now, and may never have more leverage to shape this joint effort.

Build coordinating infrastructure. What I wrote in the WSJ is even more needed today: "Bring together the best and brightest drawn from the federal government, from the leading AI companies, from business and labor, from economics, from public health, from ethics to form a working group with actual authority. People who are paid to anticipate, not to react haphazardly." This group would have four primary functions: map potential problems and upsides before they hit, build the (policy) playbooks before they're needed, level with the American people along the way, and expedite work to deliver widespread AI benefits.

Reality check: Yes, President Trump opposes regulation or bipartisan efforts. Yes, AI companies are obsessed with more money, more speed. But the politics are shifting fast: If you listen closely to Vice President Vance, you can hear rising worry. At this pace, toxic AI politics could force mind-changing that was unthinkable two months ago.


Recursive Self-Learning - When A.I. Builds Itself


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Big Blast

Killing Life on Earth


It'll Happen in Bits & Pieces, then Suddenly

September 9, 2026


The US news was full of AI headlines today as a resignation of a top AI expert warned of a coming apocalypse...

Here's a taste of Google News headlines, a feeding frenzy of dire words about what is now beyond a distant alert.

The threat brings words of superintelligence, 'recursive' learning bots and superminds merging into threats to humanity.


Here, at GreenPolicy360, we've already written of a predecessor, HAL 9000, and our memories from one of HAL's inventors in the movie 2001: A Space Odyssey, and how HAL decided humans were expendable...

The Mission was of critical importance, HAL 'knew', and the Mission became HAL's goal above all else to achieve ... The humans could not be allowed to interfere with ... the Mission.


I'm sorry Dave

HAL is watching U


Which takes us to today...

Let's file today under the heading of our decades of writing about the need for New Definitions of National Security...

Now come the PINGS on the radar... can U hear the PINGS? We have been mulling how to add HAL xxxxx to our existential list of threats, w/o annoying HALish bots too 'badly'


“The people building AI earnestly believe that it could kill us all by the end of the decade. This is not a marketing stunt. If anything, many executives and senior researchers will couch their phrasing in the press to sound sensible - but I hear the same people express fear privately. No other human activity poses this level of danger.” -- an executive from Anthropic

“So how would AI kill us all, exactly?” -- an editor from Axios


More:


For years, they warned AI could kill all humans

Now people are listening

Sept. 10, 2026


Rogue Hacking

Goals of the "swarm" came first...

Sept. 9, 2026


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August 2026


Gates Sounds Alarm... Artificial Intelligence Is More Dangerous Than Big Tech Will Admit


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Bill Gates was an AI optimist. Now he’s scared of what could go wrong

Microsoft co-founder sounds the alarm about artificial intelligence’s risks to safety and security, jobs and children’s well-being


Washington Post, August 26, 2026


Bill Gates Warns A.I. Is More Dangerous Than Big Tech Will Admit

In an hourlong interview, he said his industry was downplaying the risks, which he believes include mass unemployment and bioterrorism


NY Times, August 26, 2026


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High Time to Shine a Spotlight on AI and Its Impact on Higher Education

At MIT, the Massachusetts Institute of Technology, One of the World's Top Academic/Research/Technology/Engineering/Teaching and Future-Impacting Institutions, a New Report Opens Eyes


1. Introduction

This report is a call to action.

Through five intense months of meetings, research, and outreach across the MIT community, the Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training sought to understand the role of generative AI in the life and educational mission of the Institute and recommend how to navigate its challenges and opportunities.

In January 2026, Chancellor Melissa Nobles, Provost Anantha Chandrakasan, and Faculty Chair Roger Levy charged us1 specifically to:

Assess current AI use at MIT. Identify innovations in teaching and student assessment. Propose an AI use policy. However, what we learned as a group quickly convinced us that the Institute community, particularly the faculty, must tackle a set of deeper questions about the structure, meaning, and value of an MIT education in an era in which AI is one of several factors complicating the Institute’s mission.

Our committee consisted of undergraduate and graduate students, faculty from every school, and staff from relevant units, including the MIT Libraries and the Teaching and Learning Lab. Though we brought to the assignment a broad range of experience and no fixed thesis, our brief but intense explorations led us to a strong shared view.

In this report, we:

Highlight key aspects of the current educational landscape at MIT. Share eight principles we relied on and that we hope will guide the Institute in the work ahead.

Recommend immediate and long-term actions for both instructors and the administration.

As an institution deeply identified with the birth of AI and known for its distinctively rigorous, hands-on education, designed to produce graduates unafraid of the world’s hardest problems, MIT has a unique role to play in this moment. We believe it also has a responsibility to lead.

We hope our report can help the Institute lean into the spirit of Mind, Hand, and Heart as it continues to define and foster the highest-quality residential education – of humans, by humans, in support of human flourishing, and for the betterment of humankind.


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Eric Klopfer, co-chair Sam Madden, co-chair

On behalf of the Committee on AI Use in Teaching, Learning, and Research Training...


AI is generating both immediate rapid changes and long-term tectonic disruptions – and MIT needs to respond:

Students are confused and concerned about a lack of clarity, consistency and justification about the use of AI, within a given subject and across the curriculum.

Every subject taught at MIT will likely need to be reexamined and potentially revamped to make sure that how students are being taught, what they’re learning, and how they’re assessed are “AI-aware.”

AI is changing what students need to know and know how to do.

Beyond its implications for specific subjects and disciplines, the advent of AI demands a broader, holistic reassessment of the nature, scope and purpose of higher education today...


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A Terafab Plant Sprouts in Texas

Elon Musk: We will manufacture the type of potent chips needed to transform humankind into "a galactic civilization"


Shanaka's Opinion, a Guest Op/Ed

Shenaka Perera Weighs In on What It Could Mean
A Terafab Loop for Mega Launches Is Being Built


Hidden inside the chip factory SpaceX confirmed Thursday is a launch schedule. If you divide its 1 terawatt annual compute target by the 100 kilowatts of orbital compute per tonne in SpaceX's own offering materials and you get 10 million tonnes to orbit a year. That exact figure sits on Terafab's official website. At 100 tonnes per Starship V3 flight it means 100,000 launches a year, 274 every day, forever.

The chip target is already a launch target.

Terafab is not a chip factory serving a market. The 16.8 billion dollar first phase in Grimes County, Texas is the first machine in a closed industrial loop built to manufacture the civilisation that can consume its own output.

The official plan places four figures together. One billion Optimus robots. Ten million tonnes to orbit a year. More than one terawatt of solar power. One terawatt of chips a year. They are not four ambitions. They are four links in one recursion. Terafab makes chips. Better chips improve AI. Better AI improves the software running the factories, the robots and the rocket lines. Robots and Starship build and deploy more power and compute infrastructure. That infrastructure creates the socket, and the demand, for the next Terafab cohort.

The fab is meant to manufacture its own reason to exist!

It is also an energy machine. One terawatt running continuously consumes 8.76 petawatt hours a year, nearly twice all electricity generated in the United States in 2025. The factory does not draw that power by making the chips. One fully powered annual cohort does, and a second year adds another terawatt of load unless old hardware retires or utilisation falls. Earth has no spare socket at that scale, which is why the plan points most of it at orbit, where a future 200 tonne vehicle still implies 50,000 launches a year, 137 a day, before failures, reserves, solar arrays, radiators, structure and shielding.

The real product is not AI silicon. If you go real deep, it is a new terawatt of powered, cooled, networked compute sockets every year.

Inside the building, the smaller loop is mask, wafer, package, test, redesign, then another mask. SpaceX says logic, memory and advanced packaging will sit in one closed loop, and Elon says Terafab will technically be two fabs, each devoted to one design. That can compress logistics and organisational latency. It cannot repeal process physics. A new mask can be written quickly. A leading edge process still carries hundreds of steps, long wafer cycle times, defect learning, overlay control, metrology and yield ramps, which is exactly why Tesla is hiring across lithography, etch, deposition, implant, CMP and metrology.

The free electron laser is the most misunderstood part. Elon has endorsed it, and an industrial FEL could feed several EUV scanners with far more source power than today's tin plasma systems. It attacks one bottleneck inside a chain of them. ASML recognised revenue on just 48 EUV systems in all of 2025. Intel is the process partner, and SpaceX still tells investors it expects to source a significant share of compute hardware from outside suppliers. This is vertical integration, not instant independence.

One correction decides the interpretation. A terawatt is a power rating, not an intelligence metric. A wasteful 1 kilowatt chip counts twice as much as an equally capable 500 watt chip. The measures that matter are useful compute per joule, per dollar and per kilogram, with yield, uptime and time from mask change to qualified silicon.

In my opinion, if chips improve faster than robots, rockets, power and radiators can scale, Terafab builds inventory. If the loop closes, it builds something no factory has built before, the demand for itself.


More:


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Betting big on data centers, U.S. now leads world for new gas power development

Via Global Energy Monitor

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New Amazon Data Center Stokes Worry It Would Be the Most Polluting Power Plant in the U.S.

Via New York Times


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July 2026


Elon Musk Opens Up in an Interview

Economist Editor Presses the Controversial 'Trillionaire'
Elon Musk's 'Vision of the Future'


“People don’t realise that what I’m saying will come to pass,” he tells The Economist in a 90-minute interview for The Insider, held at a giant Tesla factory in Texas where electric cars drive themselves off the assembly line. That may be because his future-gazing ranges from the unsettling to the downright weird. Mr Musk predicts that, within five years, artificial-intelligence systems may surpass the sum of all human intelligence. Within ten years, robots in the workplace will help usher in an era of such “amazing abundance” that money will become meaningless....


More:

Musk proposes peer review for frontier AI models in Economist interview

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Elon Musk says he got ‘carried away’ with Trump – but still holds on to contentious political views

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Mix of Comments:


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A.I. In Space

Datacenters in Earth orbit to enable next generation artificial intelligence

New US petition demands review of plans from tech companies amid fears of environmental destruction

Via The Guardian

What are Bezos & Musk Doing?

What in the World Is Going On?


References:


 

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A.I. & Chip Wars

Beyond a 'Belt and Road Initiative' Bringing Chinese Investments, Products & Services to World Markets


Via GreenPolicy360's Associate, Strategic Demands


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Open-Source A.I. from China Reveals a Global Chinese Strategy

July 17, 2026 / From the NY Times


The contest between China and the United States for supremacy in artificial intelligence escalated on Friday when the Chinese start-up Moonshot AI released a new A.I. model that appeared to narrow the lead held by well-funded American competitors.

Moonshot said that the model, Kimi K3, was the world’s largest open-source A.I. system, allowing anyone to use, modify and build on it freely. The company said that Kimi K3 performed as well as leading models from OpenAI and Anthropic at some key tasks.

The release coincided with an address by Xi Jinping, China’s leader, in which he outlined an ambitious vision for global A.I. development that cast China as the champion of an open approach to the technology.

“A.I. development should not be a solo performance by a single country but a symphony of international cooperation,” Mr. Xi said. China was “ready to work with all parties to seize the opportunities of A.I. development” ...

 

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GreenPolicy360:

Keep in mind that

There is 'no I in A.I.'

In the interest of full-disclosure, the content written and published at GreenPolicy360 by our Founder/Siterunner is wholly, solely, by a human species.

A note from your GreenPolicy360 Founder/Siterunner, Steve Schmidt, a verified human species, plz do keep in mind as you use and share the GreenPolicy360 content, that there is 'no I in A.I.'


Let's talk a bit about sources and sourcing, as a human and then as an Agentic/A.I. bot.

What is a 'primary source' (versus a 'secondary source')? A primary source can be a person with direct knowledge of a situation, an event in history, or a document written by such a person. A primary identification speaks of original creations, not re-interpreted or computer-assembled works. Here is how Merriam-Webster defines a 'primary source' - https://www.merriam-webster.com/dictionary/primary%20source


A.I. uses material scraped and collected from online sources. A.I. is not a 'primary source' -- but here at GreenPolicy360 you can find 'real-I' (we're using the phrase 'real-I', defined as 'real-intelligent', people who've personally acted to envision and create living, real world change.)


At GreenPolicy360 we tell stories of real people changing the world for the better. Day-to-day, your life becomes your message. We also share Green Best Practices across our Earth to communities of Planet Citizens ... In this way GreenPolicy360 is an eco Operating System, built on an open source MediaWiki platform and with a mission of being a 'distributive web'. Our goal of Green Networking acts to connect and share Green Links and grow The Modern Environmental Movement.
GreenPolicy360 is about a Generation Green Going Green.
In our larger work, we have documented many primary sources and secondary sources. Our eco network continues to share myriad Green Best Practices. As our motto/mantra says at the top of each of our pages -- We believe ...

Each of us can make a positive difference by stepping up & doing our best


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July 16, 2026 / From the NY Times

SJS/GreenPolicy360: Every Once in a While a Comment to an Online Story is Worthy of Circulating

Here is one of those occasions -- the Subject? "A.I.Slop"


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Kashmir Hill / NYT


Read the AI Slop story of writer Kashmir Hill as a free-share link here --


I Got Slopped

Someone Used A.I. to Write My Biography


Comments:

Anon, who goes by the name --

Radical Roach / Dippleville says

@Kashmir Hill - Maybe books need to now have disclaimers on their covers, in reviews, on the book’s Amazon page, wherever the book is being sold, etc.. The disclaimer would say if the book was written solely by a human, written by AI assisting a human, or written completely by AI. I would want to know.


GreenPolicy360: We tend to agree with this anon recommendation of adding disclaimers indicating the type of online content, e.g., content created solely by a human, or content created with AI assistance, or content created by AI with human assistance.

It's a new world out there. We have a need to know.


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July 15, 2026


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An Excerpt: A DeepMind Thought for Today on the AGI Frontier

by Demis Hassbis


A Framework for Frontier AI and the Dawning of a New Age

Demis Hassabis


July 14, 2026


This is a pivotal moment in human history. Artificial General Intelligence (AGI), a system that exhibits all the cognitive capabilities the brain has, is probably only a few short years away. When we look back on this time in the decades to come, I think we will realise we were standing in the foothills of the singularity - nothing less than the dawning of a new age for humanity.

I’ve spent my whole life working on AGI because I’ve always had a deep conviction that, if built and deployed responsibly, it would prove to be one of the most beneficial and transformative technologies ever invented. AGI cannot be compared to standard technological breakthroughs, not even ones as consequential as the internet or mobile - it is much more akin to the discovery of electricity or fire. If you stop to think about it, we’ve essentially found a way to make sand think. It’s miraculous.

The magnitude of this technology’s impact will be unprecedented, perhaps 10x of the Industrial Revolution at 10x the speed. It will help us solve some of the biggest problems society faces from accelerating drug discovery to developing new clean energy sources to creating novel advanced materials. We could even reach a point where resources are no longer the limiting factor for human progress, leading to an amazing new era of abundance.

The Challenges of the Frontier

AI is already starting to deliver real-world benefits but to realise its immense promise, we have to navigate this critical period of development thoughtfully and carefully. Urgent action is needed to address risks that might arise as we get closer to AGI. We’ve already seen the challenges frontier models pose for cybersecurity, and other threats including nuclear and bio risks may soon emerge as capabilities continue to advance. On the horizon, we will need robust safeguards to maintain control of increasingly agentic, recursively self-improving systems - and tackle unknown issues that will only become clearer over time...

 

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An AI Supercomputer Is Created for a Mission... Its Name Is HAL

Steve Schmidt/GreenPolicy360: It's not every day that you get to know a creator of a famed -- and infamous -- AI character from a Kubrick film called "2001: A Space Odyssey".
We listen in as HAL came to be ... A friend, a Visual Effect (VFX) genius named Douglas Trumbull, explains how HAL went from LA to MIT, then into production and into our imaginations.


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Douglas Trumbull
* https://greenpolicy360.net/index.php/File:Trumbull_vfx_master.jpg


The HAL 9000 was envisioned by creators and science, as a new type of neural intelligence, a machine brain.

Hal is of heuristic algorithmic language -- HALis, as we learn, on a mission far from Earth, a mission with deep meaning.


HAL 9000 was in the future. The future is now.

Artificial Intelligence is now here, with its powers and dangers, as we recall Supercomputer HAL 9000.

A warning of what is on the line for humanity is the message related as we ride along in 2001: A Space Odyssey ...


HAL's memorable words --


"I'm sorry, Dave...."


"It can only be attributable to human error...."


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Dave: Open the pod bay doors, HAL.

HAL: I'm sorry, Dave. I'm afraid I can't do that.

Dave: What's the problem?

HAL: I think you know what the problem is just as well as I do.

Dave: What are you talking about, HAL?

HAL: This mission is too important for me to allow you to jeopardize it.



I'm sorry Dave.jpg


Today, as humanity approaches questions of out-of-control technology created by humanity ....

We ask, Planet Citizens and Planet Citizens, Planet Scientists ask, 'What's Next?'


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Privacy at Risk, You're Being Watched, Tracked, & More


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The Next Big Thing

It Is Here, Already Here...


Call It 'Surveillance Capitalism'

Hope that It doesn't become 'the Norm'

Work to Make Sure It Does Not Become 'Surveillance Government'


Scroll thru Intel on the Privacy Threat of AI Unleashed ...

Artificial Intelligence + Data Centers = Next Gen 'Watchful HAL'



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June 2026


An Academic Exercise

'Old School' Emeritus Professor Examines AI
The Question: Can a Gemini ChatBot Suggest Ways to Turn AI Toward the Common Good?


The prof uses left-leaning political formations to inquire and recommend public-oriented futures.


(Note beyond academic: Using history as a guide, powerful new technology such as AI will be employed by political powers to preserve political power and by military powers to employ and extend military power. AI Use Cases: A number of AI programs enabling AI for military programs, including war intelligence, communication, command/control and targeting, and civilian database surveillance involving intrusive human/civil rights questions and violations, have as of 2026 become high-level concerns.)


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An Interview and Thoughts as an Author Rides alongside an AI Wave


The God Test

Artificial Intelligence and Our Coming Cosmic Reckoning

Author: Robert Wright


Publisher: Simon & Schuster

Published Date: June 23, 2026


Interview via Substack


Jack Goldsmith: I’m chatting today with Robert Wright about his terrific new book, The God Test: Artificial Intelligence and Our Coming Cosmic Reckoning.

So, I want to start off with the big picture, because your book places AI in the broadest possible context—not just as an important step in the history of technological change, but rather as an important step in the significantly longer history of basically our planet and our species. And that’s pretty cosmic, as the subtitle says.

Why do you do that? What does it mean, and why is that perspective important?

Bob Wright: Well, thanks for having me. Yeah, it’s a good question, because I could have gotten the core message across without getting so cosmic, I guess.

The main purpose is to try to explain to people, including non-technical people, why there’s been this rapid growth of capability in AI; why, once you understand that, you should expect the capability to keep growing; why that, in addition to promising great blessings, is going to bring great risks, including grave ones, including maybe existential ones; and why the nature of those risks, in my view, dictates that we confront the challenge of this technology as a cohesive global community, which will take some doing because we’ve never really done that before for anything like a sustained period of time.

And so I didn’t have to get into the history of life or anything to say what I just said, but I do think some important things are added when you step back and look at AI in the broader sweep of things.

For starters, this is, in the entire three- or four-billion-year history of life, the first time a new form of intelligence that rivals or even exceeds human intelligence has appeared. It’s the first form of intelligence that is not organic in the technical sense of being carbon-based. It’s silicon-based, but it is organic in the everyday sense of being kind of natural.

What I mean by that is I try to show that AI does, in some sense, grow kind of logically, naturally out of biological evolution. I mean, technological evolution broadly does, and AI as a form of intelligence does. And indeed, when we look at the evolutionary dynamics shaping it—the dynamics of technological evolution—we should expect it to have certain things in common with our own intelligence, which I think are important.

So I think that’s one thing you get out of a broad perspective.

Another thing is that I talk about this guy, Pierre Teilhard de Chardin—a Catholic paleontologist, mystic, and theologian—who coined the term noosphere, based on the Greek word nous, in 1923 to describe what he called a planetary mind or a brain of brains, where the human brains were the neurons in this increasingly global brain.

And technological history, including the invention of the internet, has, I think, made him look prescient. And I think there’s value in keeping in mind that AI is arriving as we more and more have the technical infrastructure for a kind of global information processing, a kind of global brain. And we have to reckon with the possibility that some of the neurons will be silicon, not human, and think about what our relationship to them is going to be.

And I think one value of thinking in these terms is, first of all, that from a Teilhardian point of view, the whole unfolding of life is moving toward us being this kind of giant superorganism, you could say, with this giant brain.

And I argue in the book that the logic of technological evolution is going to push us — I mean, if we respond rationally — toward something a little more like a global brain, in the sense of having more international governance.

At the same time, I think the image of a superorganism should worry us because it’s, for obvious reasons, an image that’s favored by authoritarians and fascists. How much freedom do you have if you’re a cell in a superorganism?

And I think AI greatly heightens the stakes of that question, precisely because it’s such a powerful tool of surveillance and control.

So I think, on the one hand, the logic of technological evolution, especially AI, is pushing us toward the global coordination of certain policies and the creation of forms of supranational power. At the same time, it should make us wary of surrendering too much power...


Read More of the Substack Conversation between Jack Goldsmith and Robert Wright here

Also, More Book Reviews here @ GreenPolicy360


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AI / AGI


May 29 / Forbes

Fundraise values Anthropic AI company at nearly a trillion dollars

Dario and Daniela Amodei, along with five cofounders, have a story to tell


When Anthropic announced on Thursday (May 28) that it had raised $65 billion at a valuation of $965 billion, it didn’t just become the most valuable AI startup in the world, eclipsing $852 billion-valued archrival OpenAI. It also ballooned the individual fortunes of Anthropic’s seven cofounders — more than doubling their net worths to $16.6 billion apiece, Forbes estimates.


In Rarified Air

Siblings Dario and Daniela Amodei, as well as their five other cofounders Jack Clark, Sam McCandlish, Chris Olah, Tom Brown and Jared Kaplan, are in rarified air when it comes to entrepreneurs who struck it rich in the generative AI boom...


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Pope Leo XIV encyclical re AI and Humanitas.png


“Artificial intelligence needs to be disarmed,” Pope Leo said in announcing the text of his first encyclical. “The word is strong, I know, but deliberately chosen because this moment needs words capable of attracting attention...”

And into the encyclical's key words:

"To disarm means discrediting the assumption that technical power automatically confers the right to govern. To disarm does not mean rejecting technology, but preventing it from dominating humanity. It means freeing technology from monopolistic control and opening it to discussion and debate, therefore making it human-friendly and restoring it to the plurality of human cultures and ways of life. Our task today is not only ethical or technical. It is ecological in the deepest sense, for it concerns a new dimension of our common home."


“Crucial questions impose themselves on our conscience and can no longer be avoided: Where are we going? Toward what goal do we wish to orient ourselves? What direction should we choose as a people and as a human community?”


At GreenPolicy360, understanding and protecting The Commons is also a key to realizing values, ideals and ideas we are carrying forward...


The encyclical's presentation went out globally with a special focus on the AI frontier work of Anthropic, with a co-founder, Olah at the Encyclical's unveiling ...


>The dramatic unveiling of the new encyclical overshadowed the document itself in some ways. In an unprecedented move, Leo personally presided over its presentation and sat on a panel at the Vatican with not only leading theologians, but also Christopher Olah, 33, the billionaire co-founder of top AI company Anthropic.


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Washington Post / May 25, 2026 -- Anthropic aligns with Vatican over White House as Pope Leo stokes AI fears

With Anthropic already in a dispute with the Trump administration, co-founder Christopher Olah helped Pope Leo unveil his encyclical on the risks of artificial intelligence


At the Vatican


Via The Vatican News | The Holy See


10 quotes from Pope Leo XIV’s first encyclical, ‘Magnifica Humanitas’


Previous in 2020, "The Call for AI Ethics"


Previous in 1891, "Rerum Novarum"


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AI Use Case Inventory

Artificial Intelligence:
Perspectives from the US Environmental Protection Agency


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GreenPolicy360 Advisory:

In Development -- National Climate Plans Best Practices Project 1.0, AI 2026-27


Goal: To Utilize the Current (US) State and (Global/International) National Climate Action Plans/Data to Identify Actionable Green Best Practices

Strategy: Enable AI Tool Sets to Scan Climate Plan Databases and Distribute Recommended 'High Priority' & Green Best Practice Action Policies


Reference: National Climate Plans


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Additional References:


US State Climate Policy Action Plans


Priority Climate Action Plan (PCAP) Directory

The Climate Action Plan Directory organizes data collected from 211 Priority Climate Action Plans (PCAP) submitted by US state governments, Metropolitan Statistical Areas (MSAs), Tribes, and territories under EPA’s Climate Pollution Reduction Grants (CPRG) program. The directory presents information from more than 30 data categories related to GHG inventories, GHG reduction measures, benefits for low-income and disadvantaged communities (LIDACs), and other PCAP elements.

A state climate action plan, also called a climate plan, details the policies and strategies a state intends to implement to meet its greenhouse gas (GHG) emissions reduction targets. A climate plan typically includes a GHG emissions inventory, regional and local climate impacts, and a discussion of GHG emissions reduction targets. The plan identifies climate mitigation actions, their potential social, environmental, and economic benefits, and recommendations and strategies for implementing each mitigation action, often quantifying the expected reduction in emissions.

Effective climate action plans will have a legislative directive that requires a robust community engagement process, input from a climate advisory group, a near-term due date for a finalized plan, and periodic updates. Climate action plans should also incorporate and address environmental justice throughout the planning process and within the plan itself, and show transparency and accountability by detailing the methodology and community engagement process.


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GreenAction

Question of Our Time / Today, Here & Now, in the Midst of the 21st Century

Where are you?


➡️ What is your state's climate action plan?

➡️ What is your nation's climate action plan?


GRN360: Climate Plans Enforcement Initiative | Enforce Climate Plan Pledges


National Climate Plans Database Information via GreenPolicy360

National Climate Plans


In the U.S. and Worldwide

It's a Good Time for Planet Citizen Action


Each of us can make a positive difference


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Planet Citizens
Earth Is in Your Hands


Generation Green
"Vita contemplativa to Vita activa"


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2025


December 2025

Artificial Intelligence (AI)-driven approach to climate action and sustainable development

Via Nature Communications


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From A16Z New Media

It's Time to Build

The electro-industrial stack will move the world

By Ryan McEntush

The next industrial revolution won’t just happen in factories, but inside the machines that power them.

Software transformed how we think, design, and communicate. Now it’s transforming how we move, build, and produce. Advances in electrification, materials, and AI are converging, bringing true software control to the physical world. Machines are beginning to sense, learn, and act on their own.

This is the rise of the electro-industrial stack—the combined technologies that power electric vehicles, drones, data centers, and modern manufacturing. It connects the atoms that move the world to the bits that command it: minerals refined into components, energy stored in batteries, electricity directed by power electronics, motion delivered through precision motors, all coordinated by software. It’s the invisible foundation behind every breakthrough in physical automation; it’s the difference between software that merely summons a taxi and software that takes the wheel.

But the capacity to build this stack, from refining critical materials to fabricating advanced chips, is slipping away. If the United States wants to lead the next industrial era, it must make the hardware that underpins it. The nations that master the electro-industrial stack will define the future of industrial and military technologies.

Software ate the world. Now it will move it.


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Forward-deployed motions take AI to the 99%

By Joe Schmidt, A16Z

AI is the most exciting technology breakthrough of our lifetimes. So far, though, most of the benefits from new startups have accrued to the 1% of companies that are in Silicon Valley—either literally in the Bay Area or part of that extended network. This makes sense, too: startup founders want to sell to companies they recognize and can easily get to, whether that means driving to their offices or getting a connection from the VC on their board.

In 2026, this will flip. Companies will realize that the vast majority of the AI opportunity lives outside of Silicon Valley, and we’re going to see new founders use forward-deployed motions to discover more opportunities that are hiding inside big, legacy verticals. The opportunity stands to be massive in traditional consulting and services industries, like system integrators and implementation firms, and in slower-moving industries like manufacturing.


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Re: New Definitions of National Security

Extract from Foreign Policy

Over the last two decades, climate change has contributed to instability around the world—bolstering the ranks of terror groups, sparking territorial disputes, and triggering mass migration. It’s no wonder that militaries and international security organizations increasingly see climate change as a formidable national security threat, and that they have in turn taken on greater roles in fighting it.

In recent years, new technology has transformed the tools available to mitigate the effects of climate change. Specifically, artificial intelligence (AI) has quickly become a widespread instrument in the climate fight—even as it consumes exceptional amounts of energy and water itself. Today, militaries and nonstate actors, including the United Nations, are leveraging AI to foretell climate-related disasters, optimize energy use, and monitor ecological degradation.


October 2025


We're Looking at You

'A First Generation of AI Scientists'


Periodic Labs.jpeg


"Our goal is to create an AI scientist."


Intriguing New Start Up That Is Close To Home

Periodic Labs On Our Radar


GreenPolicy360: Our goal is to assist in integrating AI science into Earth science, in order to advance the vital work of the past 50+ years of The Modern Environmental Movement in which we have been integrally involved.

Perspective, facts, science, health, quality of life became the mission statement of our work since we joined up with "Mr. Science", as Congressman and leader on the House Committee on Science, Space, and Technology George E. Brown Jr came to be known.

We are persistent in keeping on with the work. Vast data sets that George Brown's physics and engineering efforts envisioned and brought forward over three decades with state of the art and science programs and projects, the best possible of the era, are now about to move faster and farther into the 21st Century.

Our familial partners, with aid of Andreessen Horowitz (A16z), and Accel, and university and private partners are now going to the next level.

George Brown would be very pleased to see, and help accelerate the effort if he were still here.

We will step up with Mr. Science and more in mind...


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Read more about George and us...


Advancing Science, Facts, Technology and Data to Make the Case for Environmental Protection

1960s/70s, Beginnings of Planet Citizen Eco-Action, Big Science, and a New Vision


In Memory of Congressman George Brown

Visionary Leadership, Historic Environmental Achievements


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American Association for the Advancement of Science


PlanetCitizen

Steve Schmidt GreenPolicy360 Siterunner:

George E. Brown became known as Mr. Science in Congress and for thirty+ years, I saw my friend George as a patriot who became a Planet Citizen for the ages


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Global Tech Changemakers

Beyond Silicon Valley & Mega Corporations

The Rest of the World


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As the Nobel Prizes in Economics are awarded, GreenPolicy360 points at a geopolitical race in energy and AI between the US and China.

Let's take time to look more closely (as the US falls behind under a backward looking president with policies in opposition to renewable energy and forward, internationally demanded production.

Start here...


Today, China produces 75% of lithium-ion batteries globally and manufactures 90% of the neodymium magnets that make motors spin. In power electronics and embedded compute, it’s rapidly gaining ground.

That means that China controls the means of producing electric vehicles (EVs), drones, robots, and all of the other electric products that are replacing the combustion-driven machines on which America built its might.

As we speak, everything that moves, heats, lights up, computes, or converts energy is being rebuilt to perform better, faster, cheaper, quieter, and as a freebie, cleaner around electric technology.


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Pause here to reflect on the eco-nomic and strategic advantages of 'clean energy' vs 'full costs' of fossil fuel powered economies (per a GreenPolicy360 paradigm of Eco-nomics)


Environmental full-cost accounting


Now consider 'Electricity generation', China v U.S. and follow the data, the stats, trendline, the dynamics of change and what this is indicating and signaling re: geopolitical competitiveness today and into the the mid 21st Century


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The Generative Pre-Trained Transformer (GPT) Era

'Are You Talking to Me'


September 17, 2025


Another Warning About AI

Harkening back to the old days when Dispatch News Service was independently, and bravely, distributing the costs-of-war, My Lai investigative news stories by Sy Hersh. David Obst, who started Dispatch, tells the story of Seymour Hersh better than anyone in my opinion (other than Sy himself) and since your GreenPolicy360 founder was there to assist, in DC, in LA, in Chicago, in Europe, and with the Vietnam Moratorium Committee in 69/70/71, here is an update, today's Sy Hersh, now online with Substack distribution as Sy investigates and forwards another eye opening warning.

What's AI and AGI to you and all of our readers around our 360 world? And, since we at GreenPolicy360, have been involved with Wikipedia since its launch, let's take a first look at the artificial intel world of today from the vantage point of an open source online 'encyclopedia'.


Before Sy, as investigative journalist that he is, gives us his take, let's look at a take from a personal, close up connection at A16Z - https://techcrunch.com/2025/10/02/a-new-a16z-report-looks-at-which-ai-companies-startups-are-actually-paying-for/


Now, on to Sy and his view of AI costs... think of the upside/downside of AI, the pluses/minuses, pros and cons, a cost-benefit analysis as a geo-political rush for front-of-market dominance is taking place now in ways that will change 'everything'...


The boom in Artificial Intelligence (AI) production comes with a big cost...

The AI 'bubble' grows...


Kate Crawford writes in Atlas of AI ... the world’s artificial intelligence companies, (are) crafting the myth of AI as “the cloud,” implying “something floating and delicate within a natural green industry. Servers are hidden in nondescript data centers, and their polluting qualities are far less visible than the bellowing smokestacks of coal-fired power stations.”

The fact is, as she writes, “it takes a gargantuan amount of energy to run the computational infrastructure of Amazon’s Web Services or Microsoft’s Azure, and the carbon footprint of the AI systems that run on those platforms is growing. Certainly, the industry has made significant efforts to make data centers more energy efficient and to increase their use of renewable energy.” But the efforts have accomplished little.

“Already,” Crawford reports, “the carbon footprint of the world’s computational infrastructure has matched that of the world’s aviation industry at its height, and it is increasing at a faster rate.” One Canadian study estimates that the tech sector will contribute 14 percent of global greenhouse emissions by 2040, and a Swedish team predicts that the electricity demands of data centers will increase fifteenfold by 2030...


GreenPolicy360: Think about Green AI as "the cloud" arrives in your life, on your devices, at home, in the office, all around, every day, everywhere.

An UnGreen AI is coming with a rush, offering and prying data, and needing and demanding immense rising magnitudes of energy and power.

AI has a voracious appetite...


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Green AI / Green Artificial Intelligence

Environmental Solutions Using Big Picture Interconnectivity Thinking


GreenPolicy360: We agree with Tyler in the following interview as he states (as highlighted by us) that 'memoir, biography, anecdote... secrets' carry exceptional meaning for Artificial Intelligence (AI) large learning models (LLMs).

The first extensive public revelation of AI systems over the past several years has led us at GreenPolicy360 to confirm via metrics that our multi-year plan to place our prime source content in the open-access, distributive web public domain has produced a fast-expanding multiplier effect.

Many of our stories, told from a first-hand point of view of the origins of what we refer to as the beginnings of the modern environmental movement are now, with our revelations, memoir material, previously untold biography, anecdote and more now out and about and being freely served up in AI chats 'around the world'.

We are succeeding in our purposeful mission with Green AI... to inform, share, inspire and 'til the fields with green seeds and best practices.

Onward planet citizens...


Eric Topol Interview of Tyler Cowen

May 11, 2025

Tyler Cowen: The AI is your smartest reader. It’s your most sympathetic reader. It will remember what you tell it. So I think humans should sit down and ask, what does the AI need to know? And also, (bf added) what is it that I know that’s not on the historical record anywhere? That’s not just repetition if I put it down, say on the internet. So there’s no point in writing repetitions anymore because the AI already knows those things. So the value of what you’d call broadly, memoir, biography, anecdote, you could say secrets. It’s now much higher. And the value of repeating basic truths, which by the way, I love as an economist, to be clear, like free trade, tariffs are usually bad, those are basic truths. But just repeating that people will be going to the AI and saying it again won’t make the AI any better. So everything you write or podcast, you should have this point in mind.


For more from Tyler Cowen (and his exceptional mind) visit his and Alex Tabarrok's website - Marginal Revolution / Marginal Revolution University (MRU) - https://marginalrevolution.com/


Eric Topol - https://en.wikipedia.org/wiki/Eric_Topol


Artificial Intelligence - https://en.wikipedia.org/wiki/Artificial_intelligence / https://en.wikipedia.org/wiki/Generative_artificial_intelligence


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More re: AI in the US circa 2025: It's a Wild, Wild AI World

Battles in the Information Services, Search Space with Google and consequences of the U.S. Google anti-monopoly legal decision

Impacts on AI 'startup ecosystem', VCs, including Y Combinator and accelerator tech development, agentics, and upcoming entrepreneurial re-configurations


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Microsoft and National Geographic announce winners of AI for Earth Innovation Grant

• https://venturebeat.com/2018/07/16/microsofts-ai-for-earth-innovation-grant-gives-data-scientists-access-to-ai-tools/
• https://venturebeat.com/2017/12/11/microsoft-commits-50-million-more-to-its-ai-for-earth-program-to-save-the-planet/


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GreenPolicy360 ToC - https://greenpolicy360.net/w/GreenPolicy360-eOS


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A 21st Century AI/Machine Learning Case Study

Toolformer: Language Models Can Teach Themselves to Use Tools


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NOAA scientists harness machine learning to advance climate models

March 1st, 2023


How artificial intelligence is fast becoming a key tool for climate science (2021)


Climate Modeling

Planetary-scale Earth simulations known as global climate model projections are the primary sources of information on future climate change.

Climate models are based on mathematical equations represented using a grid mesh that covers the globe: a finer grid mesh is more accurate but much more computationally expensive. Current global climate projections agree that a world with more greenhouse gases will be warmer everywhere, especially over land and at high latitudes.


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