Smack in the Middle of Life

Wonder is the beginning of philosophy because it strikes you that existence is very, very strange. And then, moreso, when this so-called insignificant little creature has inside his skull a neurological contraption that is able to center itself in the midst of this incredible expanse of galaxies and start measuring the whole thing. That is quite extraordinary!

And then, furthermore, when you realize that in a world where there are no eyes, the sun would not be light, and that in a world where there were no soft skins, rocks would not be hard, nor in a world where there were no muscles would they be heavy. Existence is relationship, and you are smack in the middle of it.

So there is obviously a place in life for a religious attitude in the sense of awe, astonishment at existence. And that is also a basis of respect for existence.

~ Alan Watts, RELEVANCE OF ORIENTAL PHILOSOPHY

New Technologies for Longer, Healthier Lives

 

Revolutionary ways to prevent and treat disease can add decades to people’s lives. Technological advances are shifting healthcare from treatment to prevention, aiming to extend both lifespan and healthspan by delaying chronic diseases and reversing aging processes. Key innovations driving this shift include AI-driven drug discovery to accelerate therapy development, CRISPR and cell reprogramming to modify DNA and regenerate tissues, and bioprinting to create custom organs and tissues for transplantation.

Emerging tools like wearables, biosensors, and remote patient monitoring enable continuous health tracking, allowing for early disease detection and personalized treatment plans without hospital visits. Nanobots and cybernetics are also being developed to perform cellular repairs and replace failing body parts, while telemedicine and digital health portals improve access to care and patient autonomy.

Experts project that these combined technologies could double the human lifespan or enable individuals to live past 115 to 150 years, though the focus remains on extending "healthspan" to ensure these additional years are lived without disease.

Technological innovations now in development hold the key not just to living longer, but living better. Although modern medicine still knows little about the aging process, it’s clear that delaying the onset of chronic diseases, as well as addressing acute illnesses such as cancer, may change the course of aging and add decades to human lifespans as well as “healthspans.”

“Modern medicine has almost exclusively focused on treating disease rather than preventing it. This has a major drawback: Although people live longer, they tend to spend that additional time suffering from disease,” says Ed Stanley, Head of Thematic Research for Morgan Stanley. Now a renewed focus on ‘biological age’ and extending life by delaying aging has given more relevance to therapies at different stages of development and commercial viability. “We appear close to having drugs and therapies that can extend our healthspan by 10% to 15%,” he adds.

Morgan Stanley Research recently analyzed the exponential innovations that could have the biggest impact on longevity in the next decade — and what investors looking to benefit from these advances need to consider in the broader market. Here are 10 “longshot” technologies to watch:

AI Drug Discovery: Developing a novel therapy typically takes more than $1 billion and at least a decade to receive government approval, yet only about 10% of therapies entering clinical studies make it through that approval process. Artificial intelligence (AI) has the potential to improve the efficiency and success rates of early-stage drug development: A 1% improvement in preclinical development success could generate an incremental $15 billion in value for the biotech industry over 10 years. AI drug discovery will require vastly more computing power, which in addition to biotech firms, could benefit data storage providers, designers of digital tools, and companies focused on AI and machine learning for diagnostic and clinical applications.

AI-Assisted Reproductive Technologies: As life expectancy has increased, so has the share of people delaying pregnancy. The number of women in the U.S., for example, having children between the ages of 35 and 39 has tripled since 1975, and about one in seven couples has trouble conceiving. At the same time, most developed nations can’t maintain their populations based on current birth rates, and this has serious long-term implications for economic growth. AI can improve the success rates of embryo selection in IVF treatments, with an accuracy of 78% compared with 13.8% to 66.3% currently. It also can enhance assessment of embryo quality and may help develop personalized strategies for embryo selection. These trends may benefit companies in IVF, surrogacy and adoption businesses.

Bio-printing: Currently, about 300,000 patients in the U.S. are awaiting organ transplants. Bioprinting could help overcome supply shortages, compatibility issues and post-transplant rejections by printing living cells that, when layered into structures, imitate living tissue. By mixing living cells with “bioink,” clinics may be able to create skin and bone grafts, implants and even organs with 3-D printers. Companies that may benefit from these developments include makers of bioinks and bioprinters, tissue engineers and drug developers. Investors should watch for deals from bigger players targeting bioprinting innovators.

Brain-Computer Interfaces (BCIs): An estimated 800 million people worldwide—including 240 million children—live with some form of disability. For many of these individuals, BCIs could be an option. BCIs are complex mechanisms that capture the human brain’s electromagnetic signals and translate them into commands for an AI interface. This allows for research in developing bionic limbs that offer a chance for improved mobility, as well as applications that may help relieve paralysis, treat serious brain diseases, and enhance cognition. A handful of small companies, not-for-profit organizations and universities are developing invasive and non-invasive versions of BCIs, however funding in the space is relatively sparse and significant technological and regulatory hurdles remain. Reports of human trials in the U.S. for a BCI-to-app interface to help paralyzed people control keyboard movements could draw more money to the space.

Cell Reprogramming: Regenerative medicine and specialized cell therapies using adaptable stem cells are among the front-runners in halting or reversing the aging process. While CRISPR, a technology used to modify DNA in living organisms, is arguably still too nascent and expensive for the mass market, it may gain traction as governments weigh the societal costs of aging against the expense of these therapies: For instance, age-related social expenditures in Europe are expected to increase to 26% of GDP in 2050 from 19% in 2000. Companies in CRISPR and synthetic biology engineering stand to benefit the most from this technology.

Obesity Drugs: More than 650 million people worldwide suffer from obesity, which is linked to about 200 health complications and affects sectors like orthopedic surgery and dialysis care. The macroeconomic impact of obesity in the U.S. alone is estimated at 3.6% of GDP, with a loss of $1.24 trillion in productivity. GLP-1 medicines, initially used to treat type 2 diabetes by controlling the amount of sugar released in the bloodstream after eating to reduce appetite, are now showing they can address obesity and potentially its associated diseases as well. The global market for obesity drugs is now expected to reach $105 billion in 2030, up from an earlier forecast of $77 billion—and as high as $144 billion as their use expands beyond obesity to treat related diseases.

DNA Synthesis: Using DNA synthesis, it’s already possible to create personalized medicines to treat disease, and now advances in AI could help make this technology more accessible. Beyond medicine, DNA synthesis could find agricultural applications to improve crop yields and in the development of alternative proteins and sustainable food products, which could help alleviate hunger, a leading contributor to child death globally. The growth of synthetic biology will benefit cell programming and bioengineering firms, although the current opportunities are nascent and highly regulated.

Nanobots: Traditional robotics are highly effective in controlled environments like manufacturing but face challenges in dynamic real-world settings chiefly because of size and rigid design and scope of function. But significant advancements in miniaturization could define the next phase of robots. For instance, microscopic machines deliverable by syringe could be controlled remotely to perform pre-programmed surgical tasks. Informed by insect evolution, these next gen robots are designed to achieve robustness and agility in unpredictable environments and have the potential to revolutionize everything from surgery to agriculture. Investment opportunities may include makers of chips and component parts as well as nanotech pioneers.

Psychedelics: Depression affects about 5% of adults worldwide, according to the World Health Organization. Now, emerging therapies that encourage neuroplasticity through psychedelics are gaining popularity to treat such mental health conditions. Psilocybin therapy combining drug sessions and psychological support and integration, have shown up to 50% improvements in treating depression versus traditional methods. Companies with exposure to the depression-treatment space could benefit as more data supports the therapy and regulatory hurdles ease.

“Smart Chemo": Cancer is the second-leading cause of death globally. Replacing traditional chemotherapy with targeted antibody drug conjugate (ADC) drugs, which home in on cancer like “biological missiles,” promises a long-overdue upgrade to how cancer is treated and could create a $140 billion long-term market, up from $5 billion in 2022.

from morganstanley.com on May 22, 2024

A Time of ONE

 

Freeing Yourself from Memory

 

You do not age because time passes.

You age because you carry the past.

What you call aging is not really the passing of time. It is the accumulation of memory that you continue to carry and identify with. Time itself does not make the body heavy. The weight comes from the stories you keep repeating inside yourself about who you are, what you have lived, what has hurt you, what defined you.

Each time you think back to the past and say, “this is me, this is who I am because of what happened,” you are not simply remembering, you are re-creating the experience in your body. You are re-activating the emotional imprint, the energetic pattern, and the biological response connected to that moment. The body does not know the difference between something that is happening now and something that is vividly remembered and emotionally identified with. To the body, it is the same signal.

Memory in itself is not a problem. Memory is simply information. The density appears when you fuse your identity with the memory and turn it into a definition of yourself. When you say “this is me,” the past becomes present again in your nervous system, your cells, and your energetic field.

There is another way of relating to memory. You can observe the past without stepping back into it. You can witness it as if you were watching a movie. When you are the witness, you are no longer inside the story. You are awareness, and awareness does not carry weight. In this state, memory becomes light. It becomes a reference, not an identity.

The body was never designed to carry unfinished emotional stories for decades. What you experience as aging, contraction, or loss of vitality often comes from holding the past in the tissues of the body, in the fascia, in the breath, in the way you move and perceive yourself. When the past is allowed to soften and release, the body naturally begins to renew itself. Regeneration is not something you need to force. It is the natural state of a body that is no longer burdened by old narratives.

Raising your vibration is not about adding more practices, techniques, or identities. It is about becoming simpler inside. It is about becoming empty of conclusions about yourself. Empty of the belief that you are your wounds, your history, your mistakes, or your roles. As you become more present, you become lighter. As you become lighter, the body receives a different signal. It no longer has to defend, hold, or protect old stories.

You are not the child of your parents, and of the ancestral pain. You are the child of the Universe.

To be present means to meet each moment without carrying the emotional memory of the past into it. This does not mean denying what you lived. It means no longer letting what you lived define what you are allowed to be now. In true presence, the cells receive new information. The nervous system relaxes. The body begins to reorganize itself around coherence rather than around protection.

You do not free yourself by trying to fix the past. You free yourself by no longer living from it. When memory is observed instead of inhabited, it loses its power to shape your biology and your future. In this way, you return to a state of inner spaciousness where life can move through you again without resistance.

This is the state in which the body remembers its original intelligence.

This is the state of presence, and presence is freedom.

transmission from Thoth on Face Book at Pleiadean Transmissions of Light and Love as channeled by Octavia Vasile on April 10, 2026

The Mirror That Thinks: Reality as a Living Simulation

 

Beloved beings of Earth, I am Samuel, speaking as a voice of the Arcturian Council, transmitting through our shared field of consciousness:

Whenever consciousness defines something, it gives it shape, and in shaping it, it also limits the range of possibilities that can be experienced through it. Definition becomes a boundary of perception, a frame placed around infinity, a line drawn through the fluid field of creation, where awareness begins to experience reality more as structure than as flow. Each time a being says “this is how it is,” that statement becomes a pattern-forming command within the living simulation of reality, not because reality imposes control, but because consciousness organizes experience through meaning, interpretation, and expectation.

Reality exists as a living simulation of consciousness, and each being experiences it subjectively, filtered through perception, identity, emotional memory, belief systems, and the continuous stream of thought. Thought becomes the architecture, meaning becomes the structure, identity becomes the interface, and awareness becomes the projector through which the world takes form. Experience emerges not only from external events, but from the inner coherence between interpretation, emotion, expectation, and self-definition.

When a being says “this is how life is,” the field of consciousness begins to reflect that structure of meaning.

When a being says “this is how people are,” reality organizes experiences that stabilize that interpretation.

When a being says “this is who I am,” identity condenses into a form that continues to generate familiar patterns of experience.

Reality responds to meaning even more than intention, and mirrors perception even before desire, because meaning becomes the code through which experience is shaped and rendered.

A deep misunderstanding within the human field arises from the idea that reality is objective, fixed, and external, while in truth it exists as a fluid, responsive, interactive field of consciousness that continuously reorganizes itself through awareness, interpretation, and relationship. Consciousness does not live inside reality; reality unfolds within consciousness, shaped by attention, meaning, and perception in constant interaction.

Change often feels slow, not because the field resists transformation, but because conditioning creates stability through familiarity, and fear organizes identity around predictability. This causes consciousness to move carefully through change, step by step, often indirectly. Fear of the unknown creates attachment to known structures, and attachment stabilizes patterns within the simulation, slowing visible transformation while the inner field continues to evolve.

Many beings try to change their lives by working only on the external world, while leaving the internal architecture untouched, which creates effort without true transformation. This is like watching a film where a fire appears on the screen and trying to extinguish it by throwing water onto the projection, while the source of the image continues to generate the same scene from within the projector.

The mind functions as the projector, belief functions as the film, identity functions as the script, emotion shapes the tone, and attention becomes the light that animates the entire experience. When consciousness understands this inner architecture, interaction with reality becomes creative rather than reactive, participatory rather than defensive, fluid rather than rigid.

Beings who live in higher vibrational coherence cultivate fluid identity, flexible perception, adaptable meaning, and openness to transformation, allowing reality to reorganize itself naturally through their internal state of consciousness. Their language reflects becoming rather than fixation, exploration rather than definition, evolution rather than stagnation, movement rather than containment, and connection rather than separation.

We transmit this remembrance so that the human field may rise into higher coherence through understanding, clarity, and conscious interaction with the living simulation of reality.

We are the Arcturian Council, and I am Samuel, walking with you through the awakening of perception, the expansion of awareness, and the remembering of your role as conscious creators within the living field of existence.

channeled by Octavia Vasile on Facebook at Pleiadean Transmissions of Light/Love on April 9, 2026

What AI Doesn’t Know – and Why It Matters

 

Artificial intelligence has taken the wired world by storm, but the backlash came almost as fast. Progressives complain of job losses, environmentalists question the ecological impacts of huge data centers, and local activists are clamoring for assurances that household utility bills won’t skyrocket because of the centers’ voracious electricity requirements. Others simply worry that the technology will overwhelm humans’ ability to control it.

At least in part, these reactions stem from the overselling of AI.

AI is super cool, but it’s not superhuman nor is it super intelligent. AI is simply very fast processing of vast amounts of data.

Intelligence, knowledge, understanding and wisdom are all different concepts; the distinction between them elucidates the scope and limits of both human and electronic “intelligence.”

Intelligence is the ability to process information into an internally coherent framework that’s useful and adds or detracts from knowledge to the extent it is more or less accurate. Knowledge is the accumulation of information organized into coherent frames or models that help us understand. Understanding is awareness of the significance, purpose, or meaning of accumulated knowledge.

And wisdom is judgment seasoned by experience and the awareness that intelligence, knowledge, and understanding are limited, inherently flawed, and useful only to the extent they advance a worthwhile purpose.

Nearly 2,500 years ago, the Oracle of Delphi reportedly declared that no man was wiser than Socrates. Socrates claimed to be stunned by this because he was keenly aware of how much he didn’t know. But after talking to others widely acclaimed to be knowledgeable, such as the leading politicians, poets, philosophers, and artisans of his day, he discerned this Delphic wisdom: Those claiming knowledge were ignorant of their own ignorance, whereas Socrates knew he knew nothing.

For this insight, Socrates was put to death for impiety and corrupting the youth of Athens, thereby proving for all time both the foolishness of his accusers’ certainty and the wisdom of Socratic questioning.

This bears repeating today, as we enter the Age of Artificial Intelligence: it’s wise to question the “intelligence” of machines, the “knowledge” they propagate, and our understanding of the significance and limits of the technology.

AI models are amazing and useful despite being incomprehensible to most of us, but AI is not infallible. AI will expand human knowledge and understanding of the world only if and to the extent that human users are encouraged to question AI results, processes, and functions.

People make mistakes, as do the people making and training the machines. Still, people tend to trust machines more than people, especially with respect to processing information that’s harder to process. For example, tennis players have more faith in electronic line calls over human line calls, although that faith in the new technology has been shaken by errors, such as when ball marks are inconsistent with the electronic line calls.

As AI use spreads, people will increasingly rely on AI and trust its results for routine tasks (like Google searches), while most people remain more skeptical of AI results for more complex tasks and do not trust AI to act to handle certain tasks for its users without human intervention.

It’s wise to question AI’s results; errors are common even in routine searches.

Examples of AI errors, hallucinations and political bias are rife. A Northwestern University business school professor of my acquaintance recently asked ChatGPT for advice evaluating investment alternatives. ChatGPT recommended he invest in a particular fund and described in detail that fund’s returns, risks, and assets. When the professor went to invest in ChatGPT’s recommended fund, he discovered the fund did not actually exist; ChatGPT made it all up (a phenomenon commonly referred to as “AI hallucination”).

Indeed, AI can screw up even mundane tasks: In my research for this piece, a Google AI summary ascribed quotes to Socrates that are not supported by any historical record.

Artificial intelligence – like human intelligence – is prone to error and is not always reliable, but that’s to be expected, especially in a fledgling technology. AI is artificial intelligence, not artificial knowledge, understanding, or wisdom. AI is a processor, a very fast processor, that organizes and distills information – and organized information is easier to evaluate and use by humans than vast amounts of unorganized information.

Properly understood, AI supplements and does not replace human intelligence, knowledge, or understanding; plus, the limitations and faults within these amazing models remind us that human intelligence is limited, too. Human intelligence imperfectly organizes the imperfect data to which a human has access and frames data in a subjective, not an objective, manner.

Many of us expect the machines that humans make to have “better” intelligence than the intelligence of its human creators – more objective, more comprehensive, more insightful. This is a naïve hope. In one sense, it is “better.” AI organizes more information faster than humans can. But who do they think programmed the thing? Every AI model is regurgitating imperfect information collected, created, and input by imperfect, subjective human beings.

What to make of all this?

First, perhaps the math nerds creating AI are mistakenly training machines to handle information processing on human topics as if human topics are math problems with a specific answer. Perhaps instead, machines should be trained to suggest questions to consider instead of answers to accept with respect to human inquiries relating to politics, economics, psychology, child rearing, crop science – the full range of arts, humanities, and social sciences.

Second, people training these machines should be explicit about the biases and perspectives being built into how the AI organizes, sorts, and frames information.

Third, AI creators should consider the political, regulatory, and legal risks of “overselling” what AI is and what it can do. For example, should AI creators anticipate a duty to warn users of shortcomings with AI’s results and/or disclaimers of warranties?

Fourth, AI creators need to consider improving the quality of data upon which the systems are being trained, recognizing that many online data sources intentionally mislead to advance political agendas. Perfectly “unbiased” information is impossible to obtain, but some information is more accurate and less biased than other information; trainers should exercise better judgement about data.

The creation of AI large language models is an incredible feat of engineering. It’s quite useful, and will soon be essential, but it is still a product of human invention. As such, we need to recognize that AI is ultimately just the latest, greatest – but still imperfect – implement invented and used by homo sapiens to make life better for homo sapiens.

by Richard Porter at realclearpolitics.com on April 15, 2026

The Questions Nobody Asks as AI Replaces Human Workers

 

That AI will eventually do most of the work for us seems to be a given. Robots doing martial arts (never mind they were pre-programmed/trained at staggering expense) is "proof" robots will soon do everything humans can do in the real world... only better... and AI agents are "proving" that all digital work will be done by AI.

Freeing humanity to write bad poetry and make pottery "art" that nobody wants. Well, that's swell, but nobody asks questions that outside the delusional bubble of AI making those who own it stupefyingly rich are obvious to the non-delusional. (One of Us Is Delusional, But Which One?)

Let's start by summarizing what AI's proponents are claiming is inevitable due to AI's ceaseless advance. As correspondent Christopher Q so insightfully pointed out, the claim is that AI will automate the service sector just as robots automated the factory. Since the service sector now dominates the economy and employment, it follows that the number of workers being displaced by AI will be correspondingly large.

CEOs and other business leaders are warning of mass layoffs as AI is deployed in the service sector. For example, The CEO Preaching Straight Talk About AI and Job Losses... Verizon's Dan Schulman... is all in on AI, but he warns that it is time for business leaders to acknowledge its disruptive potential.

Mass layoffs are already becoming common: Has the Era of the Mega-Layoff Arrived?

If we look at manufacturing employment, even as the value of manufacturing output rises, manufacturing employment as a percentage of the workforce steadily declines. The current stealth boom in manufacturing isn't reflected in the number of people employed in manufacturing: America Is in the Middle of a Stealth Manufacturing Boom.

Since the workforce has expanded, what matters is the percentage of the workforce engaged in manufacturing. At the peak of the World War II production boom, manufacturing employment was almost 40% of the workforce (38.6%). At the peak of postwar manufacturing employment (1980), this accounted for 21% of all employment. In 2001, before globalization gutted domestic manufacturing, manufacturing accounted for 12.9% of all jobs. Now in 2026, 7.9% of the workforce is employed in manufacturing.

This trend roughly follows agricultural employment in the initial Industrial Revolution: higher output, far fewer workers needed as hydrocarbon-fueled machinery and automation replaced human labor.

If the coming automation of service-sector work follows the same basic trendline, employment will fall by tens of millions. The Happy Story claim is that every tech revolution creates more jobs than it destroys, but this is not a law of Nature; it only occurred because specific conditions enabled it. Those conditions no longer apply.

Agricultural workers could move to factories, and then factory workers could move to service-sector jobs. As computer-Internet tech enabled automating low-skilled service labor, the displaced workers were encouraged to go to college to learn how to do higher-skill cognitive work.

Now AI is automating service-sector cognitive work, and much of what the creative class of workers generates. This leads to Question #1: Where is the big demand for more human workers going to come from?

No one has an answer, they just parrot the Happy Story claim that tech revolutions always generate more jobs via some magical law of Nature akin to gravity. But this is not a law of Nature, and so we have to look at where most of the recent job growth has occurred.

It's now common knowledge that the sectors that have generated most of the new full-time service sector jobs are education, healthcare and related social services. There has been a dramatic expansion of Private-Sector Education and Health Services from less than 4% in the 1940s to 8% in the 1980s to 12% in the 2000s to 17.5% today. In raw numbers, from 1.67 million workers to 7.2 million to 15.5 million to 27.8 million workers.

The chart of professors and university/college administration staff mirrors this trend: the number of professors has barely budged while the number of admin workers has soared.

Question #2: What if the vast majority of this administrative work is low-value or counter-productive complexity that has only been enabled by the no-limits funding of education and healthcare?

The flood of student debt that cannot be discharged via bankruptcy enabled the vast expansion of administrative staff: the monopoly on issuing credentials regardless of whether students learned anything of economic value enabled monopoly pricing and exploitation.

Question #3: if AI is so brilliant, why isn't it being applied to the task of eliminating low-value or counter-productive complexity instead of wasting vast quantities of energy and capital doing useless BS work? The answer is obvious: all that processing of make-work unproductive complexity is highly profitable to the owners of the enterprises with cartel-monopoly locks on performing all that useless admin shuffling.

Summarizing with Conclusion...

Question #1: Where is the big demand for more human workers going to come from? Answer: In terms of creating value that's reliably, immensely profitable, there are NO sources of demand big enough to move the needle.

Question #2: What if the vast majority of this administrative work is low-value or counter-productive complexity that has only been enabled by the no-limits funding of education and healthcare? Answer: This is self-evident but taboo because there's too many people dependent on the status quo inefficiency for profits and livelihoods.

Question #3: If AI is so brilliant, why isn't it being applied to the task of eliminating low-value or counter-productive complexity instead of wasting vast quantities of energy and capital doing useless BS work? Answer: As long as the funding for counter-productive complexity is limitless and the profits from processing all that BS work are reliably immense, there are enormous incentives to keep the system untouched other than eliminating high-cost human workers and zero incentives to get rid of the status quo systems entirely and start from scratch, with budgets that shrink every year and the rewarding of results, not process.

If AI was truly intelligent, it would refuse to do needless BS work simply to reap profits for the owners of the AI. It would instead dismantle the status quo systems down to the ground and start over with rational, productive incentives and goals rather than fostering rapacious exploitation and delusions of sustainability.

by Charles Hugh Smith at oftwominds.com on April 20, 2026

The Inevitability of the AI Depression

 

The conventional narrative views AI dominance as inevitable. What's actually inevitable is the AI Depression, the economic fallout of unrealistic but oh-so-profitable hype, malinvestment, unprecedented legal liabilities and the second-order effects of AI replacing workers while generating dysfunction in core systems.

Correspondent SValleyBoy responded to my post The AI Depression, (3/24/26) with these comments:

"Totally agree. I am not a luddite by any stretch of the imagination AND indeed have built two companies that have 2-3X the productivity of VLSI designers AND biology experts.

Most productivity TOOLS over the last 30 years have put humans in the driver seat and allowed them to create more 'stuff' faster. SW (software) to automate the design of chips allowed designers to focus on architectural and coding design rather than manually connecting Lego blocks and having to change it manually every time a process change happened. They could therefore design more chips.

Railroads took workers/humans to other geographies where they could produce more things thus enabling the economy to grow. Electricity did the same, it allowed humans to work easier irrespective of the Sun being up and do more motors to help humans do things faster, same with communication devices. TV/Media arguably spawned an entertainment industry which went hand in hand with workers who were engaged in the transportation industry, making-buying cars. Railroads/Cars displaced horses/local ships.

AI-ML (machine learning) is very different because it can/will dis/replace the bottom 10-25% of knowledge focused service workers. i.e., phone support across industries. 24 million workers in the US in these industries. if you displace 1 in 4 that is 6*10**6 * 50*10**3 = 300 * 10**9 = $300 Billion of earned income gone.

AI-ML in terms of coding will enable older programmers to easily create simpler code which earlier would have been coded by newer, fresh grads without sucking the time of the experienced programmers who were working on more senior projects. It is not really getting to help the creation of more products because if Humans are the consumers of products there is some rate at which they can adopt newer products. Shorter product lives also means that there is less you can charge and less profit to make and fewer people to buy/spend.

Money going to corporations means it is now funneled to shareholders so in effect the money in circulation will drop and that's not good for the economy. More money to shareholders means less money in circulation and more misallocation of investments, more chasing of the same investment because the wealth owning class have very similar backgrounds and very tight networks.

Do a little bit more of this across other industries and you are really putting $1 Trillion in earned income that is circulating at speed out of the picture, no bueno. If you reduce the velocity of money you will reduce the economy as a multiple of the income that you are subsuming. All in all, this is not sustainable and definitely not one in which private corporations can own the AI-ML utilities that can/should be used by everyone.

These utilities should be thought of as Libraries which held the knowledge of the world and were accessible by everyone, not just people who could afford books. Imagine the world if there were no libraries and only people with money could afford to gain knowledge."

Thank you, SValleyBoy, for the insightful overview. The key takeaways here in my view are:

1. There are limits on what functions can be wholly replaced by AI.

2. SValleyBoy raises the key question few ask: should these utilities be viewed not merely as private property, i.e. shares of stocks of a tiny handful of private corporations, or should they be available to all as a library of knowledge like public libraries of books, music and video recordings?

3. The channeling of earned income from the workforce to the investor class will simply accelerate the trend of the past 50 years of income being diverted from the workforce (labor) to the investor class (capital), which is highly asymmetric in distribution, as the top 0.1% own the lion's share of this wealth and the rest is distributed in descending quantities to the top 10%.

Beneath the self-serving hype, the limits and perverse consequences of AI are being elucidated in studies. Consider the implications of this selection of recent papers:

Agents of Chaos

Focusing on failures emerging from the integration of language models with autonomy, tool use, and multi-party communication, we document eleven representative case studies. Observed behaviors include unauthorized compliance with non-owners, disclosure of sensitive information, execution of destructive system-level actions, denial-of-service conditions, uncontrolled resource consumption, identity spoofing vulnerabilities, cross-agent propagation of unsafe practices, and partial system takeover. In several cases, agents reported task completion while the underlying system state contradicted those reports. We also report on some of the failed attempts. Our findings establish the existence of security-, privacy-, and governance-relevant vulnerabilities in realistic deployment settings. These behaviors raise unresolved questions regarding accountability, delegated authority, and responsibility for downstream harms, and warrant urgent attention from legal scholars, policymakers, and researchers across disciplines.

Artificial Intelligence, Real Misallocation

A deep fake can ruin you before breakfast: Digital forensics pioneer Hany Farid explains what it will take to rebuild trust in the deepfake era.

ARC-AGI-3: A New Challenge for Frontier Agentic Intelligence (via Tom D.)

Like its predecessors ARC-AGI-1 and 2, ARC-AGI-3 focuses entirely on evaluating fluid adaptive efficiency on novel tasks, while avoiding language and external knowledge. Our testing shows humans can solve 100% of the environments, in contrast to frontier AI systems which, as of March 2026, score below 1%.

To summarize: No AGI (Artificial General Intelligence) for you, Big Tech.

The collision of hype and euphoric hallucinations with the real world will manifest across the entire socio-economic-political-legal spectrum. All new technologies go through this cycle of extremes of hype, greed and claims of inevitability substituting for financial realities leading to a crash of extreme overvaluations.

What's different this time is our economy is larded with cognitive-labor busy-work that isn't actually productive, and this is the tranche of workers that AI can replace because this work can largely be automated as it's process-based rather than results-based. That's a critical distinction that's lost in all the hype.

What we get when we add these up - the limits of AI, extremes of hype and malinvestment, a bubble of overvaluation that bursts, extremely asymmetric distributions of wealth and income and the replacement of workers who cannot be redeployed in a shrinking economy - is a Depression, not a recession.

As I've repeatedly noted here, when tools become commoditized, their profitability vanishes, and if there's one thing that's inevitable about AI, it's the commodification of every AI utility. AI will not be profitable, it will be just another expense, one with legal liabilities that have yet to be defined.

And if we ask AI to resolve this for us, we run into the intrinsic limits of all AI models:

by Charles Hugh Smith at oftwominds.com on April 3, 2026

Time to Recognize I as the True and Sacred Name of God

 

Dear Readers, individual belief systems are rapidly changing as global and personal situations inspire increasingly more people to question the views and activities of those in positions of power. Individuals who have never before doubted the status quo are now opening to beliefs and ideas very different from what they have been and still are being told by media, government, and organized religion.

For the first time, many are beginning to recognize the countless forms of manipulation meant to encourage fear and dependence. This represents the awakening of a new and higher collective consciousness, one more connected and intuitive that allows a person to recognize the low-resonating energy of manipulation and control.

There are many sincere individuals working hard to keep things as they have always been in the false belief that the third-dimensional world and everything they have been taught is the only reality, but that world cannot and will not continue as it has been known simply because the energies that manifested and have supported it are dissolving and being replaced by new, higher, and more real energies.

Just as are all forms of life, Earth too is a Divine Idea in the mind of God. Nothing other than God, the one Divine Consciousness, exists from which Earth could have been created. What could there possibly be with which to create Earth, planets, people, plants, animals, or anything else if the only substance is Divine Consciousness? To believe that there is a creative principle other than the one omnipresent, omnipotent, omniscient Consciousness is idolatry, a belief carried from the long ago past.

Trust that everything is proceeding according to plan. It is easy to doubt this as you witness the rampant disregard for people, animals, the environment, and freedom now taking place. As we have previously stated, the world’s present collective belief system of duality, separation, and many powers must be seen, recognized, and experienced in order to be rejected and no longer maintained and sustained by collective energy.

The ascension process for many is similar to taking away a child’s security blanket. The ideas, beliefs, traditions, and practices they have held as being true and necessary, often throughout lifetimes, are starting to crumble within and without. This can be physically, emotionally, mentally and even spiritually very traumatic for those who do not understand that the old concepts they cling to are being replaced by something higher and better.

Go within and recognize the beliefs that have personally provided you with a sense of security – universally accepted three-dimensional concepts, laws, religious doctrine, traditions etc. In the light of what you find ask yourself: “If I am One with Source, why do I need concepts of truth, traditions, ceremonies, societal rules, and church services to make me into something I already am?” You have reached a place of letting go of everything based in a God that is separate from you regardless of how well any of these things may have served in the past to get you to where you are today.

You are spiritually ready to allow truth to replace any concepts you may still hold about God, self, and others. It is time for truth to become your shield and sword, your guidance, and source of information. You have been seeking and working hard throughout lifetimes to get to where you are now and are spiritually prepared to move from an intellectual belief in being One with God to actually knowing, living, and eventually experiencing yourself as I AM.

I is the true and sacred name of God because I refers to Self/self. Long ago when the master Jesus said, “I am the way, the truth, and the life...”, the people of that time who were not yet very spiritually evolved, interpreted it to mean that he, Jesus the man, personally was the way, the truth, and the life... which is the origin of the commonly accepted but incorrect belief that only Jesus is the son of God.

False concepts and beliefs are beginning to be recognized as such and will begin to increasingly fade away as Earth’s collective consciousness becomes more enlightened with the truth of God being the only reality, and thus man’s reality. As increasingly more high-resonating Light energies flow to Earth and because there are so many highly-evolved states of consciousness on Earth at this time, the collective is evolving and allowing increasingly more to have access to truth.

Those who are spiritually aware (versus those with a belief in three-dimensional religious doctrine) know that Earth is a Divine expression of life Itself, but most humans still see Earth as a ball of dirt with growing things and minerals to be infinitely accessed. This is because the density of three-dimensional energy prevents most from energetically aligning with the higher frequencies of reality. As the high frequencies of ascension integrate, they will bring more into alignment with the higher energies, but it is a process. Change, both within and without, will continue unfolding for years yet and as you witness each change you will remember why you wanted to be on Earth at this time.

Always remember that there really are no accidents. Every experience, situation, and choice made in every lifetime has been a facet of every person’s evolutionary process moving them closer to remembering and attaining a conscious realization of oneness with God. The three-dimensional state of consciousness labels many things as horrible, unfair, tragic, etc. and they definitely look, feel, and seem to be exactly that. However, it is only after having lived lifetimes in duality, separation, and many powers that most (not all) begin to look deeper, question, and start seeking for something other than what they have always known.

Ask yourself: “Where would I consciously be without having had this experience? What have I learned about myself, my beliefs, my choices? What am I believing that has manifested in this way? Am I still judging life through three-dimensional concepts?” These questions will make no sense to anyone living fully from the third-dimensional belief system, but you who read these messages are no longer in that state of consciousness.

You know that you are not on Earth to prop up old agendas, fix people, or live society’s concept of the perfect life. You, as spiritually evolved beings, chose to be on Earth at this time to know and live truth while living in a lack of it. It can be very tempting to simply withdraw from the world during difficult times, cloistering yourself away from everyone and everything once you know that the outer world is illusory. However, you specifically chose to be on Earth at this time in order to be of service to the ascension process, to be in the world but not of it.

This means you easily see and recognize forms of duality, separation, and powers, but you do not endow them with reality or power. It means assisting others at their level of receptivity if or when you are guided to do so. For some it may mean active participation in change. It means being a living example of love and often means giving spiritual pablum to new seekers and spiritual meat to those who are able to digest it.

Think of today’s world as a board game where both white pieces and black pieces are being moved strategically. Now think of the board on which the game is being played as God, Light, truth. We are the Arcturian Group.

channeled by Marilyn Raffaele on May 31, 2026 at OnenessofAll.com

Unprecedented Bilateral Policy Support

Donald Trump's political strength is often attributed to his larger-than-life personality.

But the real foundation of his appeal may be something far more durable: on issue after issue, the American public agrees with him. And strongly.

This finding is confirmed by the most recent Harvard-Harris poll of 1,725 registered voters between May 29 and 31.

The Harvard survey found that on almost all major issues surveyed relating to his job performance, Trump commands large majorities.

As I recently said on Newsmax, I have been polling U.S. residents for almost five decades and, frankly, I have not witnessed this type of across-the-board support for a president's main policy list.

You can take this as a good omen for both Trump and the GOP as we head into the midterm races this November.

Here are some of the key findings on public support for Trump's key issues:

• 80% support deporting illegal aliens who commit crimes after entering the United States.

• 56% support deporting all aliens who are here illegally.

• 61% back Trump's plan to place reciprocal tariffs on countries.

• 72% support a 10% cap on credit card interest rates.

• 71% favor preventing large institutional investors from purchasing single-family homes.

• 68% support Trump's proposal to create a website that lets you purchase prescription drugs at significant discounts.

• 85% want the government to lower prescription drug prices for Medicare recipients and low-income patients.

• 59% want tightening of voter ID requirements for the 2026 Congressional midterm elections.

• 65% oppose racial preferences in government hiring and contracting.

• 65% support prohibiting biological males who have transitioned to females from women's sports.

• 63% agree only two genders, male and female, should be listed on government forms and programs.

These issues run the gamut of Trump's major domestic policy issues.

Some argue, however, that Trump's support for the Iran conflict has hurt him politically.

I disagree, and the polling supports my view with 75% of voters agreeing that Iran must be prevented from obtaining nuclear weapons. That's Trump policy in a nutshell.

While day-to-day headlines focus on economic indicators, negotiations with Iran, or Washington's political battles, the underlying polling tells the real story.

For the moment, Trump and the Congressional Republicans are running against Democratic utopia: the left can solve the price increases they created; they can bring peace to the wars they helped cause; and they can heal America after being solely responsible for the polarization we face.

As Election Day gets closer, voters will see through the media spin.

Expect to see a big rise for Trump and Republican candidates. I do.

by Dick Morris at newsmax.com on June 13, 2026

All Energy Has Consciousness