Tag Archive for: economy

Hollywood’s Secret Blacklist? Please. The Real Action Is on the White List.

Save your coffee money. You’ll need it. 

Every few months, some headline erupts out of Hollywood like a toaster fire.

This week’s crisis?

“Top Secret Actor Blacklist at Paramount.”

Stop the presses.

A blacklist? In Hollywood?

My goodness. Next, they’ll reveal that actors are needy, egotistical, blowhards.

The Daily Mail shouts that insiders have “blown the lid” off this hush-hush list, and people begin scrambling for their wallets like they’re buying front-row seats at the rapture.

Click.
Click.
Click.

Punch in the credit card number.
All for the chance to discover absolutely no names in the article whatsoever.

Not me.
I’m not giving up my morning coffee so a news outlet can buy more office K-Cups.

But if you really want a list?

If you truly crave names?

If you long to know who Hollywood cherishes, protects, elevates, and gently cushions with silk throw pillows?

Forget the blacklist.

Ask for the White List.

The Platinum, Red-Carpet, No-Audition-Necessary, Praise-Be-to-Our-Favored-Ones White List.

Who’s on it?

You already know.

Hollywood doesn’t hide the White List — it broadcasts it.

Just open your eyes and behold:

  • Nepo Hierarchy Royalty—Those whose résumés are genetically pre-approved.
  • Left-Wing Zealots—Shouting their politics from rooftops, but never from the unemployment line.
  • Identity Activists on Demand—The more hashtags, the higher the billing.
  • The Devout Congregation of “Christianity Is the Real Villain”—Always welcome. Always working. Always applauded.

The blacklist?

That’s the ghost story.

The White List is the cast list.

It’s who gets the roles.

The magazine covers.

The glowing profiles.

The PR rescues.

The second, third, and fifteenth chance.

Studios deny blacklists because they would make them look authoritarian.

But the White List?

They practically choreograph musical numbers about it.

And here’s the twist nobody writing these panic headlines will admit:

Whether it’s a blacklist or a White List, the public will never see a single official name.

Not now.

Not ever.

Because Hollywood doesn’t put bias into memos.

It puts bias into practice.

So save your money.

Don’t spend a penny to peek behind a paywall promising forbidden names.

Instead, watch who Hollywood keeps placing on pedestals, and you’ll know everything you need to know about who’s “in,” who’s “out,” and who’s sitting comfortably in that velvet-lined throne they call the White List.

Your coffee is better spent keeping you awake — not keeping someone else’s newsroom caffeine-addicted.

AUTHOR

Martin Mawyer

Martin Mawyer is the President of Christian Action Network, host of the “Shout Out Patriots” podcast, and author of When Evil Stops HidingSubscribe for more action alerts, cultural commentary, and real-world campaigns defending faith, family, and freedom.

©2025 . All rights reserved.


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They Trusted the Hospital. Then the Bill Came.

When a grieving family got a $195,000 hospital bill, they didn’t surrender — they armed themselves with AI and fought back. 

There are scammers everywhere — and by now, you know to look for them.
They hide in your phone, your inbox, your text messages, pretending to be your bank, your grandchild, even the IRS.

They threaten, they prey, they deceive — all trying to steal your money and your peace.

But what if I told you the worst scam of all might not be coming from a shady call center overseas…
…but from an institution we were raised to trust?

Not a hacker.
Not a cartel.
Not some anonymous cybercriminal in a basement in Belarus.

I’m talking about American hospitals.

Yes — the same institutions that hold your hand in moments of deepest fear… can also hold you upside-down by the ankles the minute you walk out the door. And for one grieving family, that truth hit like a second heart attack.

This story will shock you — but it will also arm you, because what happened next didn’t just expose a medical billing system that often preys on the vulnerable… it revealed a surprising new weapon everyday Americans can now wield to fight back.

And it’s not a lawyer.
It’s not a lobbyist.

It’s a $20-a-month artificial intelligence program.

A Sudden Death — Followed by a Financial Ambush

The family had barely begun to process the sudden loss — a fatal heart attack.
Four hours in the hospital. Four hours of panic, prayer, and ultimately heartbreak.

Then came the bill.

$195,000.

You read that correctly.

No long-term stay.
No heroic weeks-long effort.
Just four hours.

To make matters worse, there was no active insurance coverage at the time. The hospital wasn’t interested in grieving hearts — only in the numbers printed at the bottom of their statement.

They wanted nearly every penny.

This is the moment hospitals count on:

When you’re dizzy with grief.
When you’re exhausted.
When you’re vulnerable and unprepared for a fight.

They expect you to give up.

But This Family Didn’t Give Up — They Investigated

When the hospital provided only vague, department-level billing, the family pushed.
When itemized codes were delayed due to a “system upgrade,” they pushed again.

And when they finally got the charges?

They turned to AI.

Not to create art.
Not to write a poem.

But to do what most Americans can’t:
Decode the hospital’s billing system.

They fed the codes into Claude, an AI assistant, and began cross-checking:

  • Medicare billing rules
  • Procedure code standards
  • Duplicate service flags
  • Inpatient vs emergency coding
  • Ventilator billing rules

Then the truth surfaced.

The hospital had double-billed certain procedures — charging a master “package” fee and individual line-items for the same services.

Some services were misclassified to inflate reimbursement amounts.

One charge for ventilator services was found to be out of compliance with federal billing rules.

In other words:

They got caught.

The family organized the findings into a professional, airtight appeal — drafted with AI’s help.

Then they confronted the hospital.

“You billed an unconscionable amount.”

And here’s the part that should give every American hope:

The hospital blinked.

The Result? $195,000 → $33,000

After multiple rounds of scrutiny and corrections:

  • Fraudulent-style duplications removed
  • Procedures reclassified correctly
  • Billing codes corrected
  • Phantom costs erased

The final number settled around $33,000 — a staggering drop from the original $195,000 demand.

Still a painful bill.

But a $162,000 victory over predatory pricing.

And the family’s verdict?

“My $20/month AI subscription more than paid for itself.”

Why This Matters

Hospitals will tell you it’s “just billing complexity.”
Insurance companies will shrug.
Politicians will bluster.

Meanwhile, families in grief — or fighting cancer, or caring for elderly parents — see their lives destroyed by paperwork and financial traps.

Bankruptcy.
Ruined marriages.
Lost homes.
Destroyed savings.

All because someone in a billing department padded a code, clicked the wrong checkbox… or clicked the right one knowing exactly what it meant.

This is not just a story about AI.

It’s about power.

For decades, big systems — banks, insurance corporations, Big Tech, government agencies, and yes, hospitals — had all the leverage. And we were expected to accept it.

But something is changing.

The scam artists aren’t only in call centers anymore.

They’re also wearing badges, holding clipboards, and billing you in broad daylight.

And for the first time in a long time…

Everyday people finally have a weapon to fight back.

Protect Yourself — A Quick Guide

If you or someone you know ever faces a medical bill that doesn’t feel right:

  1. Demand an itemized bill with CPT/HCPCS codes
  2. Compare costs to Medicare pricing (publicly available)
  3. Look for “facility fees,” duplicate line-items, and bundled mischarges
  4. Appeal in writing — always
  5. And yes… use AI to check the codes

Because today, knowledge isn’t just power.

It’s protection.

The Bottom Line

Powerful institutions will always say, “Trust us.”

Then they hand a grieving family a $195,000 invoice.

But today, Americans aren’t alone in this fight anymore.

We don’t just have prayers.

We don’t just have courage.

Now we have tools.

And when used righteously and wisely, those tools can topple giants — one line-item at a time.

AUTHOR

Martin Mawyer

Martin Mawyer is the President of Christian Action Network, host of the “Shout Out Patriots” podcast, and author of When Evil Stops HidingSubscribe for more action alerts, cultural commentary, and real-world campaigns defending faith, family, and freedom.

©2025 . All rights reserved.


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How Evolved Models and Agentic Workflows Cut Your AI Costs Now

Many businesses diving into AI at scale are confronting the classic adoption concerns: cost, speed, and intelligence. The shift from fixed per-seat licensing to usage-based token charges, especially with wordy, deep-reasoning models like GPT-5, introduces a significant new cost factor. As models improve, older tokens get cheaper, but increased usage and the allure of the newest, most capable (and therefore more expensive) model often cancel out any savings. Companies must understand the complex math of tokens, units, and proprietary vendor terms to accurately forecast and control their skyrocketing AI budget. Understanding the connection between model intelligence, output length, and cost is crucial for any business deploying AI.

The other major hurdle is speed, or the perception of it. Advanced AI agents perform complex, multi-day human-level work in minutes, yet users find the 30-second to five-minute wait for deep reasoning models “slow.” This impatience is a huge barrier, often pushing teams right back to their old, slow ways of doing things. The necessary mental leap is embracing asynchronous workflows, where a human tells an agent to “go do this and come back later.” This not only manages user expectations of time but, critically, allows for batch running of prompts during off-peak hours (like 3 a.m.), which significantly reduces token costs.

Ultimately, the future of work involves a portfolio of specialized models rather than one massive, generalized “brain.” A sales qualification agent, for example, shouldn’t run on an expensive reasoning model—the task simply doesn’t require it. For businesses to succeed, they must also address their core knowledge base. If your documentation is disorganized, you force the AI to use complex, costly reasoning just to find an answer. The most powerful optimization is to let the AI organize your documentation, cleaning up your knowledge for maximum speed and minimum cost, thereby aligning all three essential levers: intelligence, time, and money.

10 Key Takeaways:

  1. AI usage introduces a new, primary cost factor based on tokens, which are words processed by the language model.
  2. Newer, deep-reasoning models are more verbose and perform more internal processing, making them significantly more expensive per use.
  3. The natural trend of cheaper older models is often offset by an increase in overall AI usage and a desire for the newest versions.
  4. AI agents operate asynchronously, demanding a mental shift away from the synchronous, instant gratification of traditional software.
  5. Speed and intelligence are two sides of the same coin: high intelligence requires more time and, consequently, more cost.
  6. Asynchronous workflows allow for batch running of prompts during off-peak hours, leading to cheaper token usage.
  7. Deploying an effective AI agent workforce requires selecting a portfolio of specialized models, not just the single “biggest brain.”
  8. It’s wasteful to use a large, expensive reasoning model for small-context, simple tasks like sales qualification.
  9. Disorganized or convoluted knowledge bases force AI into costly deep reasoning to pair together elements.
  10. Businesses must urgently AI-ify their documentation and knowledge graph to maximize model efficiency and reduce long-term costs.

WATCH: How Evolved Models and Agentic Workflows Cut Your AI Costs Now

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How Should Christians Think about Artificial Intelligence?

As investors rush to cash in on the current boom in artificial intelligence (AI) and as AI creeps more and more into the everyday lives of Americans, Christians are left to wonder how to approach the burgeoning technology and guard against its dangers. A panel discussion at Family Research Council’s 2025 Pray Vote Stand Summit last weekend explored how Christians should think about AI.

Over the weekend, it was reported that a study out of MIT has helped to confirm the fears of numerous technology skeptics and observers that AI is contributing to the dulling of the human brain. The study found that the more internet assistance (such as ChatGPT and internet search engines) that a student uses to help complete an essay, “the lower their level of brain connectivity, … [with] significantly less activity in the brain networks associated with cognitive processing, attention and creativity.”

Jon Frendl, a tech entrepreneur and founder of the custom app development firm Cappital, warned of the negative effects that AI can have on the brain during Saturday’s Summit discussion.

“[W]e spend calories in our brain, and biologically we want to try to spend less to get to where we want to go, [so] we can kind of be lazy sometimes,” he explained. “… [We can] get the answer from ChatGPT but miss that growth of the wisdom muscle. That’s a real problem fundamentally, and so that’s one area … as parents with our kids to teach them to be skeptical. Classical education does this really well, … to flex those wisdom muscles [and have] conversations with our kids about AI. … Let’s show them AI lying and just saying things off the cuff that are clearly not true. Plant that doubt so they understand and they can flex that wisdom muscle and grow it.”

But it’s not just AI’s contribution to the loss of cognitive abilities that worry parents. Reports are emerging of minors being goaded into committing suicide by AI chatbots, as well as the continued decline of mental health linked to social media, which software engineers like Brandon Maddick say is likely to get worse with AI.

“If we’re engaging with these conversational AI tools on a regular basis, with personal conversations in a way that animates them beyond their tool capabilities — if that’s a danger for adults, you can only imagine the danger that it is for children,” he emphasized during the Summit panel. “I’m sure you all have seen news articles of the mental health crisis that is only going to be expanded upon with the advent of AI chatbots. And it’s scary to think about the future where the kids that are three, four, five, six today grow up and are in high school, and a third of them, their best friend is an AI. So I think there’s definite risks that can drive wedges between the familial relationships, as folks try to replace those with AI chatbots that cater to their every need.”

Frendl further cautioned that Christians must start preparing for a world in which AI will grow at an exponential level, which could affect livelihoods.

“[T]he way to really do a lot of work in AI is you build several AIs that help to build even better AIs, and those better AIs help you build even better AIs. So there’s an exponential nature to that,” he explained. “And when you combine that with the amount of investment across the board internationally, and then really you can look at power companies and chips, which are the fundamental things necessary behind this. … This is just getting started, and it’s going to radically change things at such an exponential [level].”

“But,” Frendl continued, “one of the hopes I have, … I think people are going to probably get pretty scared, probably lose a lot of jobs. Unfortunately, it’s going to be really hard. I think they’re going to be running back into the churches and they’re going to need embrace, right? I think that’s going to happen. I think that’s going to be the place of human connection that they’re hungry for. ‘The AI chatbot they fell in love with hit its context window and was gone. You know, maybe I need to go to church.’”

Maddick, who serves as head of product for the Christian AI platform Dominion, went on to argue that Christians must engage with emerging technology in order to establish moral and ethical guardrails.

“[I]f Christians don’t engage with AI at all, we will be left behind because the enemy is going to use it,” he underscored. “[I]t is a tool, [which should] not [be used] for personal conversation to replace … your relationship with your parents, or your relationship with your kids or your pastor. Using it in the automated, productivity enhancing ways that it’s designed to be used for is how … we can reap the benefits without seeing many of the harms. I think a model that’s not optimized for engagement, but is instead optimized for productivity rather than personalization is a good step in that direction.”

As to a general strategy for how Christians should approach AI, Frendl detailed a three-pronged course of action.

“[F]irst of all, free will,” he insisted. “We should never submit to AI — AI submits to us. It is a tool that we use. … The second is sober mindedness. I would make the argument that being sober minded means using our brains. … Have the mental fortitude to think through things, have wisdom and intelligence on something which you can grow, then you’re going to do that even more with AI. … [T]he third is love. I think we must have a critical look at what’s happening here in the context of love, and this thing’s trying to get me to start feeling like it’s there for me in ways that are inappropriate.”

Practical advice for parents to guard their children from the dangers of AI starts with disabling voice options, Frendl contended. “Don’t use voice with the kids. … Keep it to text. Because when you increase more senses and it starts sounding like a human, it’s easier for [children’s] pathways to think that this is personified. They made it that way for engagement. … So just use a text. … Just give me the facts.”

Maddick concluded by advising families to build relationships and foster community as an antidote to the isolating effects of AI and social media.

“[G]et out in the community with your kids,” he urged. “Find a set of like-minded parents and have your kids form human relationships. Social media is probably 1% of what we’re going to see with this, because the information you put on social media is tiny compared to the conversational information you’re putting into these machines. We’ve already seen the impact of social media fragmenting our communities, fragmenting families, fragmenting the kids community in their grade at school. Ensuring that your kid has human connections, … that your community starts to come back together is the solution to this, because technology is funneling us all into our different corners of the internet. … [We must] connect in person and form real human communities again.”

AUTHOR

Dan Hart

Dan Hart is senior editor at The Washington Stand.

EDITORS NOTE: This Washington Stand column is republished with permission. All rights reserved. ©2025 Family Research Council.


The Washington Stand is Family Research Council’s outlet for news and commentary from a biblical worldview. The Washington Stand is based in Washington, D.C. and is published by FRC, whose mission is to advance faith, family, and freedom in public policy and the culture from a biblical worldview. We invite you to stand with us by partnering with FRC.

The Ultimate AI Co-worker: How One Finance Team Found its AI Spark

Constellation Software’s finance team, led by their CFO, Shikha Gandhi, initially met a company-wide AI music video contest with reluctance. The timing was terrible, dropping in the middle of their busiest period. Despite their initial hesitation, which included groans and accidentally deleting the contest emails, the team decided to participate. They wanted to avoid being the only team without a submission and saw an opportunity to apply their experience with basic AI tools, like using ChatGPT for planning and Copilot for writing emails, to a more creative project. The team was inspired by their unofficial mascot, Shikha’s dog, Bosch. They decided to create a rap video inspired by Notorious B.I.G.’s “Juicy.” Using ChatGPT to generate lyrics and other AI tools for music and storyboarding, they completed the project in just a few hours spread across a couple of weeks, proving that a creative use of AI could be both fun and efficient.

This small creative project helped the team slowly realize AI’s potential went way beyond simple daily tasks. The process of refining prompts for the music video taught them to be more specific with their requests, a skill they realized was directly transferable to their financial work. However, they soon hit a wall—or what’s often called the ‘valley of despair’—when they tried to apply these creative learnings to automating their manual financial processes. They discovered a significant gap between the user-friendly consumer-facing AI tools they used for the video and the complex enterprise-level solutions required for finance. They realized the biggest hurdle was not the AI itself, but the lack of integrated, clean, and centralized data systems.

The episode concludes with a serious discussion about the major challenges of implementing AI in a large corporation. The hosts emphasize that while AI has incredible potential, a company’s data must be “AI ready.” This requires the heavy lifting of consolidating messy, disparate data sources—like Salesforce and QuickBooks—into a single, unified data lake that AI can easily access and process. They explain that the common misconception that “AI will fix it” ignores the foundational problem of “garbage in, garbage out.” The hosts suggest that this consolidation is the necessary, albeit daunting, first step to fully unlocking the benefits of AI for complex business functions.

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AI Security: Building a Gold Standard for Your Organization

How secure is your AI? In this episode, we dive into the critical aspects of AI security and compliance, exploring the fundamental shift in security thinking required when integrating AI agents into your business.

Discussing the transition from traditional “castle” security to a “hotel” model, emphasizing the need for granular access control and stringent data protection. Addressing the misconceptions surrounding AI model security and highlight the importance of message tracking, auditing, and workflow management.

We unpack the complexities of building a secure AI infrastructure and establish an AI gold standard for your organization.

Takeaways:

  • Security around AI should be foundational, not optional.
  • AI agents require unique access controls like employees.
  • The traditional castle approach to security is outdated.
  • AI’s training and testing are crucial for effective deployment.
  • Transparency in AI operations is essential for security.
  • Compliance with regulations like SOC 2 and HIPAA is critical.

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Why Ten Global Banks Are Creating Their Own “Stablecoin” — and Why Christians Should Be Alarmed

Because the future of money isn’t just digital — it’s control. 

Last week, ten of the world’s biggest banks quietly announced they’re working together on a new “form of digital money.”

They used friendly phrases like “industry-wide offering” and “public blockchain.”

But make no mistake — this isn’t innovation. It’s consolidation.

Behind those polite banking words lies a plan to replace your dollar with a programmable, trackable, and controllable digital token—issued not by the government, but by the same corporate giants that fund censorship, ESG mandates, and political blacklists.

A United Front of Global Banks

The list reads like a roll call from the Financial G7:

Bank of America, Citi, Goldman Sachs, Deutsche Bank, Barclays, BNP Paribas, UBS, Santander, MUFG, and TD Bank.

They say their goal is to create a “1:1 reserve-backed form of digital money” tied to the U.S. dollar, euro, pound, and yen.

Sound familiar?

That’s the definition of a stablecoin — the same kind of digital token that crypto traders use to move money quickly online.

Only this time, it’s run by the very institutions crypto was meant to escape.

From Innovation to Infiltration

When President Trump signed the GENIUS Act in July, it was supposed to bring transparency and accountability to the Wild West of digital currencies.

But it also gave banks and Big Tech a green light: Go ahead, issue your own coins — just follow the new rules.

Now the rules are written, and the banks are moving in.

And here’s the irony: the same Washington bureaucrats who once denounced crypto as dangerous are now cheering this “safe” version — because it keeps control in their hands.

The Endgame: Programmable Money

Imagine a future where every transaction — every donation, every purchase, every tithe — must pass through a digital filter managed by a global banking consortium.

Want to support a pro-life organization? Buy a book critical of gender ideology? Donate to a Christian mission in Africa?

If your money lives on their blockchain, they can decide if that transaction clears.

It’s the soft launch of what globalists have long dreamed about: a G7-aligned digital currency system that looks private but answers to the same regulators who talk daily about “misinformation” and “extremism.”

Why Christians Must Prepare

This is exactly why we’ve been working on Dove Coin — a faith-based digital asset designed to safeguard freedom of giving and prevent financial censorship before it happens.

Because if Bank of America, Citi, and Goldman Sachs are writing the next chapter of money, then Christians need to start writing our own.

The Bible warns that control over buying and selling is the final tool of tyranny.

As Revelation 13:16-17 tells us, there will come a time when “no man might buy or sell” without the mark of submission.

What we’re witnessing now is the infrastructure for that control — dressed up as “innovation.

Let’s Dig Deeper

So what does a “1:1 reserve-backed stablecoin” actually mean — and how would this new G7 plan work?

In simple terms, a stablecoin is a digital version of money that’s tied directly to traditional currency. If you have one “digital dollar,” there’s supposed to be one real U.S. dollar sitting in a bank vault or government bond somewhere backing it up.

Now take that same idea and apply it globally. The world’s biggest banks want to issue digital tokens backed by their home currencies — dollars in America, euros in Europe, yen in Japan, pounds in the U.K., and so on. Each token moves on a blockchain, which lets it travel instantly across borders.

Sounds convenient, right? But here’s the catch. Because the system would be interconnected under G7 oversight, these digital tokens could one day merge into a single coordinated payment network — one that knows who you are, where you spend, and what you’re buying.

It’s sold as efficiency. But in practice, it’s the foundation for programmable money — where spending rules can be written directly into the code.

That’s why Christians and freedom-minded people must watch this closely. It’s not just about faster payments. It’s about who controls the switch that turns your money on or off.

Final Thought

Ten banks. One digital token. Global coordination.

And all under the banner of “innovation.”

Call it what you want — it’s a banker’s coup over the future of money.

The only question left is: will Christians have their own ark when the flood of digital control comes?

Subscribe and learn more about Dove Coin — the Christian alternative to global stablecoins

AUTHOR

Martin Mawyer is the President of Christian Action Network, host of the “Shout Out Patriots” podcast, and author of When Evil Stops HidingSubscribe for more action alerts, cultural commentary, and real-world campaigns defending faith, family, and freedom.

©2025 . All rights reserved.


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Taking action to defend America from the UN’s first global carbon tax

Joint Statement by Secretary of State Rubio, Secretary of Energy Wright, and Secretary of Transportation Duffy

President Trump has made it clear that the United States will not accept any international environmental agreement that unduly or unfairly burdens the United States or harms the interests of the American people.  Next week, members of the IMO will vote on the adoption of a so-called NZF aimed at reducing global carbon dioxide gas emissions from the international shipping sector.  This will be the first time that a UN organization levies a global carbon tax on the world.

The Administration unequivocally rejects this proposal before the IMO and will not tolerate any action that increases costs for our citizens, energy providers, shipping companies and their customers, or tourists.  The economic impacts from this measure could be disastrous, with some estimates forecasting global shipping costs increasing as much as 10% or more.  We ask you to join us in rejecting adoption of the NZF at the October meeting and to work together on our collective economic and energy security.

The NZF proposal poses significant risks to the global economy and subjects not just Americans, but all IMO member states to an unsanctioned global tax regime that levies punitive and regressive financial penalties, which could be avoided.  The United States is considering the following actions against nations that support this global carbon tax on American consumers:

  • Pursuing investigations and considering potential regulations to combat anti-competitive practices from certain flagged countries and potential blocking vessels registered in those countries from U.S. ports;
  • Imposing visa restrictions including an increase in fees and processing, mandatory re-interview requirements and/or revisions of quotas for C-1/D maritime crew member visas;
  • Imposing commercial penalties stemming from U.S. government contracts including new commercial ships, liquified natural gas terminals and infrastructure, and/or other financial penalties on ships flagged under nations in favor of the NZF;
  • Imposing additional port fees on ships owned, operated, or flagged by countries supporting the framework; and
  • Evaluating sanctions on officials sponsoring activist-driven climate policies that would burden American consumers, among other measures under consideration.

The United States will be moving to levy these remedies against nations that sponsor this European-led neocolonial export of global climate regulations.  We will fight hard to protect our economic interests by imposing costs on countries if they support the NZF.  Our fellow IMO members should be on notice.

From the U.S. Secretary of State

A new global climate tax would be the ultimate in taxation without representation.

Voters are showing their opposition to the net-zero climate agenda whenever they get the chance. But that isn’t stopping the United Nations, which this week is poised to impose what amounts to a global tax on carbon emissions. Yes, this is the definition of taxation without representation.

The International Maritime Organization (IMO), a U.N. body based in London, hopes at its meeting this week to secure final approval for its “net-zero framework” for shipping. The measure would impose charges per metric ton of carbon-dioxide that ships emit above certain limits; the tax would be $100 or $380 per metric ton depending on various factors. That could translate to an annual tax take of $10 billion-$12 billion.

Continue reading.

EDITORS NOTE: This CFACT column is republished with permission. ©All rights reserved.

AI Platforms vs Workflow Engines The Difference You Need to Know Now

n this episode we discuss the common problem of conflating AI platforms with workflow engines like Zapier or N8N. They explain that a new “stack” for agentic solutions requires more than just the large language model (LLM) itself. While workflow engines are useful for connecting apps and creating simple “if/then” logic, they can quickly become brittle and unmanageable when dealing with the complexities of managing multiple AI agents and their underlying conversational logic.

The solution is adopting a dedicated AI platform for centralized management. Rich uses the analogy of separating a website’s front-end from its back-end database to illustrate the importance of separating the agent’s management (platform) from the workflow logic. This approach prevents the need for a developer to manually adjust hard-coded logic every time a business user wants to make a simple tweak to an agent’s instructions, ensuring greater flexibility and fault tolerance.

We also discuss the benefits of this integrated approach for scalability and control. A platform allows a single, well-maintained agent to be used across dozens of workflows, preventing the “nightmare” of having to update 30 hard-coded copies of an agent every time a model is upgraded. The hosts stress that while workflow engines are a valuable part of the stack, an AI platform provides the centralized management, security, simplicity, and speed needed to build a scalable and sustainable AI workforce.

10 Key Takeaways:

  1. A new technology stack for AI agents requires different layers beyond just the LLM.
  2. Workflow engines (like Zapier, N8N, Make) are useful for connecting applications and creating simple, “if/then” logic.
  3. Workflows can become “spaghetti” and unmanageable at scale, making them hard to maintain and prone to breaking.
  4. A dedicated AI platform provides a central hub for oversight and management, preventing workflows from becoming brittle.
  5. A platform separates the agent’s core logic (prompts, training, communication) from the workflow itself.
  6. This separation is analogous to a website’s front-end and back-end, allowing for greater flexibility and control.
  7. Platforms enable business users to make simple updates to agents without a developer having to modify hard-coded logic in a workflow.
  8. A single agent on a platform can be deployed across many workflows, avoiding the nightmare of managing dozens of hard-coded copies.
  9. AI platforms are designed for centralized management, security, simplicity, and speed, which are often sacrificed in hard-coded solutions.
  10. The combination of a platform and a workflow engine maximizes ROI by providing both centralized control and complex sequencing capabilities.

WATCH: AI Platforms vs Workflow Engines The Difference You Need to Know Now

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©2025 . All rights reserved.

2025 Vehicle Operating Costs

Once again the mainstream media is trying to deceive us. 

The marketing strategy for electric or hybrid vehicles, almost always pushes the idea that consumers should ignore the higher initial cost, as the annual operating costs will soon make up the difference (e.g., see here).

Recently, AAA published the latest US annual operating costs for common vehicle types, and compared electric, hybrid, and gas. This unbiased source clearly indicates that such a story is not typically true. As seen below, the gas option was lowest for two scenarios and about the same for the other two. In all four cases a gas vehicle was less expensive than an electric vehicle.

INFOGRAPHIC: Cost per Year @ 15,000 miles driven — Your Drivings Costs 2025 from AAA

Compared to the one-sided sales pitches in most mainstream media articles, this one lists multiple shortcomings of buying an electric or hybrid vehicle.

BTW, this just out: Nearly one-third of EV charging attempts fail, report finds.

©2025 All rights reserved.


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Tylenol and Autism: More to the Story

In 2020, the Atlanta-based U.S. Centers for Disease Control and Prevention (CDC) said that one in 36 children (approximately four percent of boys and one percent of girls) was estimated to have autism-spectrum disorder, estimates that were significantly higher than those in all previous years.

But just five years later, according to the press conference held just weeks ago on September 22, President Trump — in the presence of U.S. Health and Human Services (HHS) secretary Robert F. Kennedy, Jr. and Center for Medicare & Medicaid Services (CMS) administrator Dr. Mehmet Oz — announced that the Department of Health and Human Services stated that autism had surged in America nearly 400% and now affects 1 in 31 American children…

…and that this alarming statistic was a result of pregnant women taking Tylenol during their pregnancies!

Within milliseconds, everyone weighed in, from a skeptical Scientific American to the hearty support of the Icahn School in the Mt. Sinai School of Medicine.

Here, Dr. Josh Redd explains in plain English why Tylenol is so bad for pregnant women.

Besides the pros and cons, disturbing facts emerged, not the least of which is that the FDA knew about the Tylenol-autism link over a decade and a half ago…but did nothing!  Talk about “follow the money”!

In fact, as early as 2019, a Food and Drug Administration (FDA) study recommended — again, with no follow-through — that the labels be revised to advise pregnant women to “be careful about casual use of acetaminophen when it is not strongly needed for pain or other purposes.”

It took a few years, but since September 2022, according to the BirthInjuryCenter.org , over 100 lawsuits have been filed nationwide against acetaminophen manufacturers, claiming damage over the failure to warn pregnant users that Tylenol and generic versions may increase the risk of having a baby with autism and/or ADHD (attention deficit hyperactivity disorder).

By that I mean that this potentially life-altering announcement omitted — actually failed — to include a quite obvious cause of autism’s precipitous rise over the past several decades.

To explain: In the early ’70s, I worked nights — the 11 P.M. to 7 A.M. shift — as a delivery room nurse at a university-affiliated hospital near my home on Long Island.  It was a revolutionary time in obstetrics, when the Lamaze method of “prepared childbirth” and the use of sonograms to visualize fetuses were gaining popularity.

Actually, ultrasound technology was first developed in Scotland in the mid-1950s by obstetrician Ian Donald and engineer Tom Brown to detect industrial flaws in ships.  By the end of the ’50s, ultrasound was routinely used in Glasgow hospitals, but it was not until the 1970s that it was used in American hospitals to check that the developing baby, placenta, and amniotic fluid were normal and to detect abnormal conditions such as birth defects and ectopic pregnancies.

At the end of the ’70s, I became a certified Lamaze teacher and spent the next 22 years giving weekly classes to couples in my home.  In a very real way, I had my own laboratory, as I learned directly from my clients about the increasing escalation of sonogram exams they had as the decades elapsed.

In the early 1980s, it was common for only one or two out of the ten women in my classes to have a sonogram.  In just a few years, every woman in my classes had had a sonogram.  And in the late ’80s and ’90s, almost every woman had not one sonogram, but often two or three or four or five — starting as early as three or four weeks’ gestation and extending, in some instances, right up to delivery!

It was in the ’90s, in fact, that it occurred to me that the scary rise in the incidence of autism might be linked to the significant rise in ultrasound exams.  Over the years, I’ve posited my theory to a number of people, written letters to the editors of newspapers — including to the N.Y. Times, for which I wrote for over 20 years, but they still refused to publish my letter — and emailed my idea to one of the top news people at the Fox News Network, but the “we report/you decide” powers that be on that TV station strangely decided not to report on this subject.

I contacted autism researchers Dr. Marcel Just and Dr. Diane L. Williams, who told me via email that Dr. Pasko Rakic at Yale was, indeed, exploring the autism-ultrasound link.

Then, in 2006, I found an article in Midwifery Today, “Questions about Prenatal Ultrasound and the Alarming Increase in Autism,” by writer-researcher Caroline Rodgers.

“The steep increase in autism,” Rodgers wrote, “goes beyond the U.S.: It is a “global phenomenon” that “has emerged … across vastly different environments and cultures.”

However, Rodgers added, “what all industrial countries do have in common is … the use of routine prenatal ultrasound on pregnant women.  In countries with nationalized health care, where virtually all pregnant women are exposed to ultrasound, the autism rates are even higher than in the U.S., where due to disparities in income and health insurance, some 30 percent of pregnant women do not yet undergo ultrasound scanning.”

Aha!  Could this be why blacks and Hispanics in America continue to lag behind whites in the development of autism?

Dolphins, Whales…Relevance?

In the summer of 2012, as many as 3,000 dead dolphins were found in Peru.  Researchers at the Organization for the Conservation of Aquatic Animals (ORCA), a Peruvian marine animal conservation organization, attributed the mass deaths to the use of deep-water sonar by ships in nearby waters.

Even earlier, in June of 2008, four days after a Navy helicopter was using controversial sonar equipment during training exercises off the Cornish coast in Great Britain, 26 dolphins died in a mass stranding.

These events — and literally thousands that are similar — are relevant because many mass deaths and strandings of whales and dolphins have been attributed to the sonar waves emitted from Navy ships.

In 2009, an article in Scientific American by John Slocum explained that sonar (sound navigation and ranging) systems, which were first developed by the U.S. Navy to detect enemy submarines, “generate slow-rolling sound waves topping out at around 235 decibels; the world’s loudest rock bands top out at only 130.  These sound waves can travel for hundreds of miles under water and can retain an intensity of 140 decibels as far as 300 miles from their source.”

Slocum wrote that a successful 2003 lawsuit against the Navy brought by the nonprofit Natural Resources Defense Council (NRDC) to restrict the use of low-frequency sonar in waters rich in marine wildlife was upheld by two lower courts, but the Supreme Court “ruled that the Navy should be allowed to continue the use of some mid-frequency sonar testing for the sake of national security.”

Two quick questions: If sonar can kill fully developed dolphins, what effect, then, does it have on the developing brains of in utero embryos and fetuses?  And why was the massive use of sonograms during pregnancy not even considered an area of research in our government’s investigation?

And Then There’s the Heat!

Just as concerning, as far back 1982, the World Health Organization (WHO)’s study, “Effects of Ultrasound on Biological Systems,” concluded that “neurological, behavioral, developmental, immunological, hematological changes and reduced fetal weight can result from exposure to ultrasound.”  Two years later, the National Institutes of Health (NIH) reported that when birth defects occurred, the acoustic output of sonograms was usually high enough to cause considerable heat.

And yet, in 1993, the FDA approved an eightfold increase in the potential acoustical output of ultrasound equipment!  Ostensibly, this increase was to enhance visualization of the heart and small vessels during microsurgery.  Clearly, the health and well-being of developing fetuses was not a consideration!

Getting back to those embryos and fetuses, Rodgers explained that “when the transducer from the ultrasound is positioned over the part of the fetus the operator is trying to visualize, the fetus may be feeling vibrations, heat, or both.”

Rodgers then cited a warning the Food and Drug Administration issued way back in 2004: “Even at low levels, [ultrasound] laboratory studies have shown it can have … jarring vibrations” — one study compared the noise to a subway coming into a station — “and a rise in temperature.”

The cause of autism, Rodgers wrote, “has been pinned on everything from ‘emotionally remote’ mothers … to vaccines, genetics, immunological disorders, environmental toxins and maternal infections.  A far simpler possibility … is the pervasive use of prenatal ultrasound, which can cause potentially dangerous thermal effects.”

Imagine how these assaults affect the developing brain of a fetus!

Enter Hard Science

In August 2006, Pasko Rakic, M.D., chair of Yale School of Medicine’s Department of Neurobiology, announced the results of a study in which pregnant mice underwent various durations of ultrasound.  The brains of the offspring showed damage that was also found in the brains of people with autism.

The research, funded by the National Institute of Neurological Disorders and Stroke, also implicated ultrasound in neurodevelopmental problems in children, such as dyslexia, epilepsy, mental retardation, and schizophrenia, and showed that damage to brain cells increased with longer exposures.

Dr. Rakic’s study, Rodgers said, “is just one of many animal experiments and human studies conducted over the years indicating that prenatal ultrasound can be harmful to babies.”

Follow the Money

In The Daily Beast, Jennifer Margulis, author of Business of Baby: What Doctors Don’t Tell You, What Corporations Try to Sell You, and How to Put Your Baby before Their Bottom Linewrote that Dr. Rakic “concluded that all nonmedical use of ultrasound on pregnant women should be avoided.”

In her research, Margulis said that she discovered that “there is mounting evidence that overexposure to sound waves — or perhaps exposure to sound waves at a critical time during fetal development — is to blame for the astronomic rise in neurological disorders among America’s children.”

Clearly, there is a vast human tragedy — a true man-made disaster — taking place before our eyes.

For whatever reasons — follow the money? — the mountain of evidence that points to a causal relationship between prenatal ultrasound exams and an escalating pandemic of autism is being systematically ignored.

Could it have anything to do with the huge investments doctors and scientists have made in ultrasound technology, which, according to Jennifer Margulis, “adds more than $1 billion to the cost of caring for pregnant women in America each year”?

Could it have anything to do with the revenue now pouring like an avalanche into the coffers of diagnostic and treatment centers and classrooms?

Could it have anything to do with modern journalism’s almost complete abandonment of hard-nosed reporting and life-saving exposés?

As Caroline Rodgers said, there is an elephant in the room when it comes to the subject of autism, and that elephant is the worldwide blitzkrieg of ultrasound exams on pregnant women, exams that have bombarded the babies they’re carrying with the brain-warping sound waves and heat that will continue to affect them every second of their autistic lives.

Yoo-hoo, President Trump, RFK Jr., and Dr. Oz!  It’s way past time to give pregnancy sonograms the same attention and warnings you gave so confidently to Tylenol!

©2025 All rights reserved.

DAY 9: Democrats Continue Government Shutdown In Order to Hurt the American People

Rational Americans agree, why shutdown the government? The House passed a clean continuing resolution, the same CR that Democrats have voted for thirteen times in the last four years, including back in March.

So what’s the point? The point is to hurt Americans. Trump has made things better for every American (except terrorists and America’s worst domestic enemies). His transformational presidency, surging economy and pro-America foreign policy has moved the country even further right. Going into the November elections, this bodes most ill for the Democrats. So the Democrat ‘strategy’ is to hurt Americans hoping they’ll blame Trump and vote accordingly. These are the actions of evil actors whose aim is to destroy the country.

So far, most Americans have barely noticed. But air travel is beginning to suffer from the Democrat shutdown. And Democrats couldn’t be happier. Fruits of the Schumer Shutdown.

What’s happening: Air traffic controllers are considered essential employees. They are obligated to continue working during a shutdown. Conveniently, a growing number of them are calling in sick.

ABC News: A week into the government shutdown, flight delays and cancellations are starting to climb as sick calls involving air traffic controllers leave a number of airport towers and control facilities without enough staff to properly handle all flights. The air traffic control tower overseeing airspace over Nashville International Airport was operating at an extremely limited amount of staffing on Tuesday, forcing some approach traffic to be handled by the air traffic control center in Memphis, Tennessee (ABC News).

Transportation Secretary Sean Duffy: Our dedicated air traffic controllers shouldn’t be worrying about their next paycheck and travelers across this country shouldn’t have to worry about delays and cancellations because of the SCHUMER-JEFFRIES Shutdown (Duffy).

AUTHOR

RELATED ARTICLES:

Democrat Says Shutdown ‘A Real Problem’ Minutes After Voting To Keep Government Closed

‘Keep Your Mouth Shut’: Hakeem Jeffries Dukes It Out With House Republican Over Government Shutdown

Nancy Pelosi Can’t Explain How GOP’s Gov’t Funding Bill Isn’t ‘Clean’

Jihadi Zohran Mamdani Funnels Big Money to Radical Allies Plotting Control of City Hall: ‘Seize State Power’

Nationwide: Muslims and Leftists Stage Violent Riots Celebrating the Mass Slaughter of Jews on October 7th, Police Hospitalized

Leftist Arrested With 200 EXPLOSIVE DEVICES Arrested at DC Church Mass Hosting Supreme Court Justices

On Oct. 7 Anniversary, Mamdani Accuses Jewish State of “Genocidal War”

Bondi Unleashes on Durbin on National Guard Deployment: ‘Love Chicago As Much As You Hate President Trump’

Leftists Put $10K Bounty on Killing ICE Officers, Chicago Mayor Johnson Escalates Violent Rhetoric

RELATED VIDEOS:

Democrats: Will not reopen the government short of ‘planes falling out of the sky!’

This video from Homeland Security Secretary Kristi Noem is playing in airports across the country

EDITORS NOTE: This Geller Report is republished with permission. ©All rights reserved.

Why Most AI Projects Fail Before They Start

Most people and businesses believe that implementing AI is a simple process: you input your data, and an AI magically generates value. However, this episode breaks down this misconception, highlighting the significant work that exists in the “missing middle.” This middle piece is a deep dive into data science, a non-glamorous, but vital step that is often overlooked. AI, while it may seem intuitive, is fundamentally driven by mathematics and requires clean, organized, and properly formatted data to function efficiently. This is the main reason why many AI projects fail before they even start—because they skip this critical, time-consuming phase of data preparation and normalization.

Lee and Rich introduce three foundational “laws” of AI to help listeners reframe their understanding of its true nature. The first law is simple: what you put in is what you get out. An AI agent is only as good as the data it is trained on. This means that a project with an ambiguous scope and low-quality data will inevitably produce poor results. The second law is that what is being used is getting better. They stress that AI is an iterative tool that learns through use, and continuous reinforcement learning is necessary for it to become truly effective. The final law is a reminder not to judge AI by human standards. AI does not think, it mimics; expecting it to behave like a human will only lead to frustration, as its purpose is to process information and complete tasks in a mathematically efficient way, not to replicate human common sense or intuition.

We also discuss the common budget and expectation issues that can derail an AI project. Arguing that many businesses are “hungover” from previous, large-scale tech implementations that promised a lot but delivered minimal return on investment. This has created a natural resistance to another big investment. However, they clarify that AI doesn’t require a monolithic investment. Instead, it should be viewed as an iterative, phased process. The most significant benefit of AI is not replacing humans, but rather accelerating a business by addressing the human capacity issues that cap efficiency at around 60-70%. AI should be seen as a great accelerator that allows employees to reclaim time from mundane tasks and focus on high-value work, which is the ultimate goal of any worthwhile investment in technology.

Key Takeaways:

  • The “missing middle” of AI refers to the essential and often-overlooked data science work required to prepare data for a model.
  • The first law of AI is, “what you put in is what you get out,” meaning the quality and relevance of your training data directly impacts the AI’s performance.
  • The second law of AI is, “what is being used is getting better,” emphasizing that continuous use and human feedback are crucial for an AI’s improvement.
  • The third law of AI states that you should not judge it by human standards, as it is a mathematical mimicry tool, not a human replacement.
  • Many companies are hesitant to invest in new technology due to bad experiences with previous large-scale, high-cost tech implementations.
  • AI projects should be approached iteratively, with a reasonable scope and phased training, rather than as a single, large investment.
  • The primary purpose of AI is not to replace humans, but to serve as a great accelerator, boosting human productivity and freeing up time.
  • The most significant return on investment comes from using AI to automate work and unlock human potential from repetitive tasks.
  • A consumer’s experience with easy-to-use models like ChatGPT can create unrealistic expectations for building a custom, business-specific AI.
  • The human plus AI combination is currently the most powerful force in innovation, as humans provide context and intuition to the AI’s raw processing power.

Interested in A.I.? Check out our podcast A.I. Guys. Subscribe to us on Apple, Spotify, Youtube (or others)

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©2025 . All rights reserved.

Finding Your AI Soulmate: The Key to a Perfect Partnership

Feeling lost in the complex world of AI, unsure who to trust with your future? Finding the perfect AI partner is crucial for long-term success. In this episode, we unveil the crucial secret to AI success: finding the right partner. We go beyond the tech and explore the essential qualities of a strategic AI collaborator who can guide you towards an “AI-first” future, turning potential pitfalls into pathways to growth. Are you ready to forge the perfect AI alliance?

Takeaways

  • AI is becoming integral to meetings and business operations.
  • Choosing the right AI partner is crucial for success.
  • Many companies still view AI as just another software tool.
  • AI should be treated as a human resource, not just software.
  • Over-engineering software can lead to inefficiencies.
  • AI can automate tasks that humans currently perform.
  • Customer support can be transformed through AI solutions.
  • External expertise is essential for effective AI integration.
  • Companies must adapt to the fast-paced changes in AI technology.
  • Strategic partnerships can accelerate AI adoption and innovation.

Interested in A.I.? Check out our podcast A.I. Guys. Subscribe to us on Apple, Spotify, Youtube (or others)

Save time and money by adopting AI agents with raia. https://www.raiaai.com/

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©2025 . All rights reserved.

Top 4 AI Agents to Boost Your Business Profits

Want to unlock the power of AI to supercharge your business profits? In this episode, we explore the top 4 AI agents that can revolutionize your sales, customer support, and marketing efforts. Discover how these intelligent agents can automate tasks, improve efficiency, and drive revenue growth.

We’ll delve into the specific use cases for each agent, discuss the key benefits they offer, and provide practical tips for implementing them in your business.

Takeaways:

  • AI can simplify complex concepts for better understanding.
  • Sales Development Representatives (SDRs) can benefit from AI to manage leads effectively.
  • Customer Service Representatives (CSRs) can utilize AI to handle common inquiries and improve efficiency.
  • AI can significantly enhance Search Engine Marketing (SEM) strategies. Search Engine Optimization (SEO) can be improved through AI-generated content and keyword strategies.
  • Understanding ROI is crucial when investing in AI solutions.
  • AI can automate repetitive tasks, allowing human employees to focus on higher-level work. Personalization in customer interactions can be achieved through AI.
  • AI can help businesses save costs by optimizing marketing strategies.
  • Implementing AI can lead to substantial financial savings for businesses.

Interested in A.I.? Check out our podcast A.I. Guys.

Subscribe to us on Apple, Spotify, Youtube (or others) https://substack.aiguyspod.com

Save time and money by adopting AI agents with raia. https://www.raiaai.com/

All links: https://lnkd.in/eXDpww6V

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