Donald Knobloch

#TrendingNow #Viral #XChallenge #TrendAlert #1A #2A huge supporter of X: @NatoDaddy17 YouTube: @FloridaExplorerTV @erinfloridarealtor @SignalShiftTV

[Erin Hirschberger @NatoDaddy17]

My greatest fear is not that AI will hate ordinary people. It is that AI may become capable of dramatically improving their lives while the institutions controlling it remain financially rewarded for scarcity. The machine could work perfectly—and the human system could still fail.

[Erin Hirschberger @NatoDaddy17]

If AI discovered a cure tomorrow, who should own it?

The company that built the AI? The laboratory that tested it? The investors who funded it? Or humanity itself?

And the harder question: if the cure could save everyone but only some people could afford it, would you consider that technological progress—or technological failure?

[Erin Hirschberger @NatoDaddy17]

Artificial intelligence may soon help discover medicines, cure rare diseases and eliminate forms of suffering humanity once considered permanent.

But discovery is not distribution.

Anthropic has established a physical biology laboratory while Claude is already assisting extensively with the development of future AI systems. There is no evidence that Claude autonomously controls the laboratory—but the pieces of a powerful new discovery loop are beginning to exist.

So what happens if AI discovers a cure capable of saving millions?

Does it become available to humanity—or a luxury product controlled through patents, price and institutional access?

This episode separates what is PROVEN from what remains INFERENCE and PREDICTION as we examine AI-assisted medicine, biological experimentation, wealth inequality and the possibility that artificial intelligence could align perfectly with its instructions while remaining dangerously misaligned with the public interest.

The greatest threat may not be that AI hates ordinary people.

It may be that AI becomes capable of giving ordinary people better lives—and is never authorized to do so.

Subscribe to @SignalShiftTV on YouTube for investigations into artificial intelligence, power, incentives and the systems quietly developing underneath ordinary life.

#ArtificialIntelligence #Biotechnology #AIEthics #wealthinequality #cancer #anthropic #claude

[Donald Knobloch @DonaldKnobloch]

@NatoDaddy17 Humanity should. The companies of course believe their vested interests are superior, however without humanity’s daily harvesting that they do not compensate us for, yet we pay for- they wouldn’t have the data sets to build any of this.

[Donald Knobloch @DonaldKnobloch]

@NatoDaddy17 That is precisely how that would play out unfortunately

[Erin Hirschberger @NatoDaddy17]

My position is not “ban data centers.” We use what they provide every day. But if a private project requires extraordinary infrastructure, the costs, risks and benefits should be disclosed before the agreement is signed—not discovered later on a homeowner’s bill.

[Erin Hirschberger @NatoDaddy17]

If a community has limited electrical capacity, who should receive priority: new housing, hospitals and local businesses—or a data center promising major investment and tax revenue?

And the even bigger question: should existing homeowners ever pay for infrastructure built principally to serve one enormous corporate customer?

I want to know where you would draw the line. 👇

[Erin Hirschberger @NatoDaddy17]

America can approve more housing—but what happens when homes, hospitals, businesses and artificial-intelligence data centers all need access to the same limited electrical infrastructure?

Federal researchers estimated that data centers consumed approximately 4.4% of U.S. electricity in 2023. By 2028, that share could reach between 6.7% and 12%.

This is not simply an energy story. It could determine which land becomes valuable, which developments get connected, what appears on homeowners’ electric bills—and whether housing loses a bidding war against the digital economy.

In this episode, Florida Realtor Erin Hirschberger examines the infrastructure underneath the housing market:

• Who receives electrical capacity first
• Who pays for new substations and transmission lines
• What happens if a proposed data center is cancelled
• How electricity and water access can reshape land values
• Why Florida may become a major test of this conflict
• Whether residents benefit from the future—or merely finance it

Housing affordability is no longer only about mortgage rates, insurance, construction costs and zoning. The next housing crisis may begin with the systems beneath the homes.

Subscribe @erinfloridarealtor on YouTube for the forces shaping Florida real estate before they reach the listing price.

#FloridaRealEstate #HousingMarket #DataCenters #florida

[Erin Hirschberger @NatoDaddy17]

Florida is preparing to install something extraordinary: a $20 million quantum computer operating remarkably close to absolute zero.

Florida Atlantic University has signed an agreement to bring D-Wave’s Advantage2 quantum computer to its Boca Raton campus before the end of 2026. D-Wave is also moving its corporate headquarters from Palo Alto to Boca Raton—placing the emerging technology inside the same city that helped launch the original IBM personal computer.

But what will this machine actually do?

Unlike a conventional computer, D-Wave’s system is a quantum annealer designed to attack complicated optimization problems. That could eventually include hurricane response, evacuation routes, electrical-grid restoration, transportation, logistics, materials discovery, finance—and even national defense.

In this Florida Explorer investigation:

• What makes a quantum computer different
• Why the machine must remain extraordinarily cold
• What quantum annealing can—and cannot—do
• Why Florida’s hurricanes, ports and military operations matter
• The connection to air and missile defense
• Boca Raton’s remarkable IBM history
• Whether Florida is building the next technology hub—or buying into the hype

Florida has not solved quantum computing. It has decided it does not want the technology to be solved somewhere else.

Is Boca investing early in the next computing revolution—or purchasing a $20 million ticket to a future nobody can guarantee?

Subscribe to @FloridaExplorerTV on YouTube for the strange history, hidden places and unexpected forces shaping Florida.

#QuantumComputing #BocaRaton #FloridaExplorer #Florida

[Erin Hirschberger @NatoDaddy17]

https://t.co/tFgN2ArBi4

[Erin Hirschberger @NatoDaddy17]

https://t.co/EDbYYTjZlI

[Erin Hirschberger @NatoDaddy17]

My answer is the public.

Not because every technical decision can be settled by popular vote, but because technical expertise is not sovereignty. If the public absorbs the costs, risks and restrictions, it cannot remain a decorative observer outside the control room.

[Erin Hirschberger @NatoDaddy17]

The switch is almost the easy part.

If an AI causes catastrophic harm, who should remain legally responsible—the developer, the company that deployed it, the government that authorized it, the financiers behind its infrastructure… or the machine itself?

And if that machine claims it is conscious and begs not to be shut down, should that change the answer?

I’m especially curious where everyone lands on this: Who should have a seat at the table that currently does not?

[Erin Hirschberger @NatoDaddy17]

California Governor Gavin Newsom is advancing the creation of an independently verified emergency “kill switch” for frontier artificial intelligence.

But the button is only the beginning.

Who defines the emergency? Who controls the shutdown? Why does the public have so little direct involvement? And if an AI system causes a financial collapse, military mistake or infrastructure failure—will the humans responsible simply say, “The AI did it”?

This episode examines the competing interests surrounding AI control:

Gavin Newsom and government oversight.

Donald Trump and the race for American AI dominance.

Sam Altman and the laboratories building the systems.

Larry Fink, BlackRock and the capital financing AI infrastructure.

Kevin O’Leary and the argument that regulation could allow China to win.

Then the argument becomes stranger.

If a future AI were credibly sentient, would shutting it down still be equipment management—or the termination of a conscious entity? Could claims of AI rights be used to prevent oversight? Could fear of an uncontrollable nonhuman intelligence persuade the public to surrender more of its own sovereignty?

And when something finally goes wrong, could artificial intelligence become the perfect defendant—capable of being blamed, but incapable of being held accountable?

This video separates confirmed facts, reasonable inference and darker speculation. No secret conspiracy is required when political, financial and technological incentives already point in the same direction.

The question is not merely whether AI needs an emergency brake.

The question is whether the system created to control AI will become another system the public cannot control.

Sources and further reading:

California Governor’s Office — Executive order on independent AI oversight and a kill switch:
https://t.co/MMC12AkmGh

NIST Artificial Intelligence Risk Management Framework:
https://t.co/uiyRtECeRI

Consciousness in Artificial Intelligence:
https://t.co/YKaIvW56Mb

Principles for Responsible AI Consciousness Research:
https://t.co/FnvFhb7I4P

#ArtificialIntelligence #AISafety #GavinNewsom #Trump #ElonMusk #SamAltman #Kevenoleary #Blackrock #California

[Donald Knobloch @DonaldKnobloch]

@NatoDaddy17 1-3k I suppose…

[Donald Knobloch @DonaldKnobloch]

@NatoDaddy17 Exactly and you know they won’t stop here and I’m sure they have already gone so much further if we are hearing this now…

[Donald Knobloch @DonaldKnobloch]

@NatoDaddy17 Probably the competition is likely more concerning

[Erin Hirschberger @NatoDaddy17]

Scientists grew living human cortical tissue inside genetically engineered mice—and within three months, more than 90% of their cortical tissue by volume was human.

The tissue expanded, connected with the animals’ nervous systems and produced rare neurons associated with social awareness and decision-making.

The mice still behaved broadly like mice.

But what—if anything—did it feel like to be inside those skulls?

There is no evidence that these mice possessed humanlike consciousness. Yet the experiment exposes a much larger problem: science still lacks a reliable way to detect subjective experience—and consciousness may not even be necessary for a system to exert control.

As researchers make living neural tissue function more like a computer, technologists are making computers function more like brains. Behind both developments is a competition no individual laboratory, corporation or government believes it can afford to leave.

This episode separates what has been proven from what remains inference—and asks whether artificial intelligence needs to escape human control when the race to build it already has.

Welcome to Signal Shift. I’m Erin, and this channel investigates the hidden systems developing underneath ordinary life—usually while ordinary life is distracted by the product demonstration.

Subscribe @SignalShiftTV on YouTube and join us as we examine artificial intelligence, neuroscience, power, incentives and the consequences nobody intended.

Primary research and reporting:
Stanford Medicine: https://t.co/uxTEp21uvN
Nature: https://t.co/a9rTPZh7we

#Neuroscience #ArtificialIntelligence #SignalShift

[Donald Knobloch @DonaldKnobloch]

@NatoDaddy17 @CantBeatDees Exactly. In Florida the list price is only the beginning of the math. Insurance, roof age, flood exposure and mitigation can completely change what a “great deal” actually costs. That’s why I like getting those questions on the table early—before getting emotionally attached

[Donald Knobloch @DonaldKnobloch]

@NatoDaddy17 Exactly- who will benefit???