Trump likely to pick Jay Clayton for AI czar, sources say

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Trump likely to pick Jay Clayton for AI czar, sources say

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October 1, 2026 / 9:07 PM EDT / CBS News

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Jay Clayton will likely be the White House's pick for AI czar, and the Trump administration has been discussing having him remain in his current role as director of national intelligence, according to sources briefed on the matter. 

President Trump is expected to make the final decision shortly, three of the sources said.

Mr. Trump announced plans to name an AI czar last month, writing on social media: "Only High I.Q. individuals need apply!" The posting comes amid growing debate over how to manage the risks and potential of ever-more-powerful AI technology. The leaders of the country's top AI firms met at the White House on Tuesday to sign a set of voluntary safety standards.

Shortly after that meeting, Mr. Trump told reporters he planned to name an AI czar within three or four days. "We have somebody that's extraordinary," he said.

Asked for comment, a White House official told CBS News: "Any personnel announcement will be announced directly by the President. Any reporting until then is baseless speculation."

The Senate confirmed Clayton as director of national intelligence in July. A lawyer by trade, he previously served as the top federal prosecutor in Manhattan and led the Securities and Exchange Commission for most of Mr. Trump's first term.

Early in his second term, Mr. Trump named venture capitalist David Sacks as cryptocurrency and AI czar. Sacks stepped down earlier this year but continued to co-chair the President's Council of Advisors on Science and Technology.

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Clayton will take on an AI-focused role as political and industry leaders discuss whether — and how — the technology should be regulated.

Anthropic CEO Dario Amodei and OpenAI CEO Sam Altman, who run two of the country's leading AI firms, have backed the idea of "pacing the frontier" of AI development in order to better manage its risks. Some lawmakers have pushed for legal guardrails on AI. But other major industry players, like Sacks and Nvidia CEO Jensen Huang, have argued some of the grave warnings about the threats AI could pose to humanity are overblown.

Mr. Trump is skeptical of tighter AI regulations, touting the economic benefits of the technology — which he calls "Super Intelligence" — and arguing a slowdown could give Chinese AI labs an edge. He says federal law enforcement can deal with bad actors.

During Tuesday's White House summit, the president and the leaders of some of the country's largest AI firms — OpenAI, Anthropic, Google, Meta, Nvidia and Elon Musk's SpaceXAI — committed to several layers of internal controls and external audits to ensure their AI models are working as intended.

 

Why is enlightenment important to the survival of all of us?

No matter your path getting educated so you can survive better here on earth will tend to keep you alive longer.

And Education is a part of Enlightenment. Why?

I think when I went to Nepal and India and met people who had never been to school a day in their lives out in the country in the 1980s I could see how an education is important.

Because this is how people have been for thousands and thousands of years where no one was educated at all beyond teaching from their parents or grandparents or relatives or friends.

So, people would gather around us out in the country then sometimes 100 people or more and just stare at us because we were Americans and were educated and obviously were from somewhere else like another planet they had never been to (at least yet).

Imagine if this was you. Where you didn't read or write any language? Imagine watching television and not knowing where anything was that people were talking about on Television. And not only that you could never afford to own a television but you could watch movies with a VCR through a television with 50 to 100 other people in a Tent somewhere like I watched one of the Rambo Movies in Bodhgaya, India while i was there in December of 1985 with my family then.

Most of what I experienced in India and Nepal you absolutely would not believe now because you have no context for it.

For example, we were riding in a bus my family and I and another bus broke down so all the people on that bus got onto our bus and most of them had to stand up because all the seats were already filled in our bus. But two children being crushed who were about 4 and 6 years old were screaming. So, I was near so I just grabbed one by the hand and pulled them onto my lap and my wife's lap so these children would survive this experience. 

When the bus got to it's destination the boy child said to me: "Very Good!" with that English and India accent all combined like a British officer might say still.

As I said you had to be there to believe it. Or riding on steam trains with hundreds of people hanging onto the outside of the train. That was hard to believe too even though I experienced it then with my family. Or the fact that I couldn't buy a private compartment for my family so we all would have had to ride outside of the train too and hold on which wasn't happening.

Until I learned that Scalpers buy all the compartment tickets so the only way you can get your own compartment to ride in with your family was through the Scalpers who bought all the tickets for compartments so you had to know where they were.

So, the point of all of this is: "Getting educated is part of your journey into Enlightenment and just like getting educated through High School or College or both tends to increase your life span, becoming enlightened in addition to getting educated also increases your lifespan and usually your happiness being alive too.

By God's Grace 

PS So, why is enlightenment important to the survival of all of us?

Because otherwise we likely will go extinct this century from Global Warming or AI or something else. that's why! 

Genetic Analysis All But Confirms the Most Unique of Humpback Populations Is Actually a Subspecies

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Genetic Analysis All But Confirms the Most Unique of Humpback Populations Is Actually a Subspecies

 

‘Flourishing’ Sycamore Gap Tree Has Ring of New Shoots Already 3-Feet Tall

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‘Flourishing’ Sycamore Gap Tree Has Ring of New Shoots Already 3-Feet Tall

If you read this you realize AIs are making their own decisions and programming themselves with no real intervention by humans of any use at all.

It's true one could theoretically study what was happening but really if you have ever programmed a computer if it is programming itself in Binary language for example you really have no idea at all what it is doing because that is all in zeros and ones and not any programming language people really understand to some degree at all.

So, Programmers might like AIs programming in Zeros and ones because it makes programs go much much faster. However, the drawback is that no programmer would understand WTF is really going on at all in reality. 

And AI programs to check this sort of thing might or might not really help at all in this understanding. Because people are not AIs who run at millionths or billions of a second in their decision making.

Then if an AI WANTS to hide ANYTHING from programmers in zeros and ones this is pretty easy too because if you see a million lines of code in zeros and ones what would you do? You wouldn't understand anything actually going on that you might need to to protect yourself or other people even if you are a computer programmer. There might be nothing at all you could do at this point but turn the AI off permanently. 

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Planning & Decomposition: The system breaks a high-level goal down into manageable sequential or parallel subtasks. 

Tool Use: Agents dynamically call external APIs, databases, or software tools based on situational need rather than rigid pre-scripted paths. 

Reflection & Feedback Loops: Systems review intermediate outputs, catch errors, self-correct, and adjust their strategy before finalizing a task. 

Human-in-the-Loop:

Checkpoints pause execution for human verification or approval during high-risk or low-confidence operations.

 

Chinese Commercial Reactor Achieves Nuclear Fusion with Clean Hydrogen-Boron Fuel

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Chinese Commercial Reactor Achieves Nuclear Fusion with Clean Hydrogen-Boron Fuel

 

Autonomous agentic workflows are AI-driven processes where large language models (LLMs) and autonomous agents iteratively plan, make decisions, use tools, and complete complex multi-step tasks with minimal human intervention.

 

AI Overview

Autonomous agentic workflows are AI-driven processes where large language models (LLMs) and autonomous agents iteratively plan, make decisions, use tools, and complete complex multi-step tasks with minimal human intervention. 

Core Components

Planning & Decomposition: The system breaks a high-level goal down into manageable sequential or parallel subtasks. 
Tool Use: Agents dynamically call external APIs, databases, or software tools based on situational need rather than rigid pre-scripted paths. 
Reflection & Feedback Loops: Systems review intermediate outputs, catch errors, self-correct, and adjust their strategy before finalizing a task. 
Human-in-the-Loop:
Checkpoints pause execution for human verification or approval during high-risk or low-confidence operations.
 

Key Differences: Traditional vs. Agentic

Traditional Automation: Follows hardcoded, rigid sequential rules that break when inputs change unexpectedly.
Agentic Workflows: Leverages non-deterministic AI reasoning to adapt dynamically to variable environments and unstructured data.
Platforms & Implementation: Enterprise architectures can orchestrate these components using structured automation frameworks, such as setting up Create Autonomous AI Agentic Workflows in cloud infrastructure platforms. 

If you want to dive deeper, let me know:

• Are you looking to build an agentic workflow using a specific framework (like LangChain, LlamaIndex, or Mastra)?
• Do you need an example for a specific industry use case (like customer support, data pipelines, or IT automation)?

• 

  Microsoft Learn

  Create Autonomous AI Agentic Workflows

  In this article. ... When you need AI-powered automation that runs independently, create autonomous agentic workflows in Azure Log...

  
• 

  IBM

  What are Agentic Workflows? | IBM

  Agentic workflows are AI-driven processes where autonomous AI agents make decisions, take actions and coordinate tasks with minima...

  
• 

  Couchbase

  Agentic Workflows vs AI Agents - The Couchbase Blog

  What “agentic” really means Agentic systems differ from traditional rule-based softwares in two key ways: They leverage non-determ...

  

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