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Elon Musk Just Changed Everything at Tesla — And No One’s Talking About It

Elon Musk just made a bold announcement that could completely redefine Tesla’s future — but almost no one noticed. At the 2025 Tesla Shareholder Meeting, Elon revealed a deeper vision that goes far beyond cars. From AI and humanoid robots to clean energy and automation, Tesla is positioning itself as the driving force behind humanity’s next great leap.

In this video, Chris Smedley and the Ideal Wealth Grower team break down the hidden message behind Elon’s words, why the singularity may already be unfolding, and how Tesla’s shift toward artificial intelligence could reshape the global economy — and your investment strategy. Stay tuned till the end to discover why this could be the most important turning point in Tesla’s history.

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… Welcome to Ideal Wealth Grower, the channel that helps you build real wealth, create passive income, and achieve true time freedom. I’m Axel Meierhoefer — former US Air Force officer, real estate investor, and lifelong learner inspired by visionaries like Elon Musk. After more than 20 years of successful real estate investing, I reached my own financial freedom point, and now I’m here to help you do the same. If you’re ready to stop trading time for money, take control of your financial future, and live life on your terms — you’re in the right place. Stay connected with us! ✅ X: twitter.com/idealgrower ✅ Our community: cutt.ly/0rDZ1fNI ✅ Linked In: / ameierhoefer ✨ ✨ / @idealwealthgrower Top Data Scientist Exposes Quantum AI Disruption, Digital AI Twins | Anthony Scriffignano • Top Data Scientist Exposes Quantum AI Disr… Is INFINITE BANKING the Future of Sustainable Wealth? with Chris Naugle | Age of Abundance • Is INFINITE BANKING the Future of Sustaina… Elon Musk Just Changed Everything at Tesla — And No One’s Talking About It #elonmusk #tesla #chrissmedley #idealwealthgrower #teslanews #teslastock #teslainvestors #teslashareholdermeeting #teslaupdate #teslafuture #teslabot #teslaai #artificialintelligence #teslainnovation #futuretech #robotics #teslainvesting #wealthbuilding #financialfreedom #stockmarket #investing #technologynews #innovation #elonmusknews #teslamasterplan #ai what elon musk said at tesla 2025 meeting tesla AI day 2025 full presentation tesla master plan 4 explained tesla robot update 2025 elon musk latest tesla news elon musk tesla 2025 updates tesla shareholder meeting highlights.
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Two simple cognitive tendencies emerge as surprisingly powerful predictors of belief in pseudoscience

The results showed that participants who more strongly endorsed pseudoscientific beliefs tended to report a higher frequency of meaningful coincidences in their lives. They were also more likely to attribute these coincidences to non-random causes, such as destiny or a universal connection, rather than to chance. Among the explanations offered for coincidences, “pure chance” was the most commonly endorsed, but those who selected this option tended to score lower on the pseudoscience measure.

Participants also displayed a general bias toward avoiding repetition when simulating randomness, selecting fewer repeated outcomes than chance would predict. This repetition avoidance was particularly evident in the coin toss task. Importantly, those who more strongly endorsed pseudoscientific beliefs were also more likely to show this bias, especially in the coin task. This suggested a link between belief in pseudoscience and a distorted sense of what a random sequence should look like.

When the researchers looked at all the variables together, they found that two factors independently predicted higher endorsement of pseudoscientific beliefs. The first was how often participants explained coincidences with non-chance causes. The second was how strongly they avoided repetition in the coin task. These two cognitive tendencies—seeking causal explanations for coincidences and misunderstanding randomness—each appeared to contribute separately to belief in pseudoscience.

Raman quantum memory demonstrates near-unity performance

Over the past decades, quantum physicists and engineers have developed numerous technologies that harness the principles of quantum mechanics to push the boundaries of classical information science. Among these advances, quantum memories stand out as promising devices for storing and retrieving quantum information encoded in light or other physical carriers.

To be viable for real-world applications, quantum memory must deliver both and . In other words, they should be able to store and retrieve most of the input —typically over 90%—and ensure that a recovered state closely matches the original one.

Notably, most previously proposed strategies to develop efficient were found to produce undesired random fluctuations (i.e., noise). These fluctuations could in turn degrade quantum information, reducing the system’s fidelity.

Legend or Truth: Mature CD4+CD8+ Double-Positive T Cells in the Periphery in Health and Disease

The expression of CD4 and CD8 co-receptors defines two distinct T cell populations with specialized functions. While CD4+ T cells support and modulate immune responses through different T-helper (Th) and regulatory subtypes, CD8+ T cells eliminate cells that might threaten the organism, for example, virus-infected or tumor cells. However, a paradoxical population of CD4+CD8+ double-positive (DP) T cells challenging this paradigm has been found in the peripheral blood. This subset has been observed in healthy as well as pathological conditions, suggesting unique and well-defined functions. Furthermore, DP T cells express activation markers and exhibit memory-like features, displaying an effector memory (EM) and central memory (CM) phenotype.

Universe’s expansion ‘is now slowing, not speeding up’: Evidence mounts that dark energy weakens over time

The universe’s expansion may actually have started to slow rather than accelerating at an ever-increasing rate as previously thought, a new study suggests.

“Remarkable” findings published today in Monthly Notices of the Royal Astronomical Society cast doubt on the long-standing theory that a mysterious force known as ‘dark energy’ is driving distant galaxies away increasingly faster.

Instead, they show no evidence of an accelerating universe.

AGI Unbound with Joscha Bach: Consciousness and the future of Intelligence

AGI Unbound Series.

A series of focused interviews with the most interesting and impactful thought leaders in the field. We press on first principles—how they define core ideas in their domain, how they see the present, and where they believe intelligence is headed. Brought to you by SingularityNET and the AGI Society.

About this interview — Joscha Bach.
In this kickoff episode, cognitive scientist Joscha Bach explores consciousness as a coherence-forming learning process, argues for a computational view of mind, and outlines why machine consciousness should be treated as a testable hypothesis rather than a slogan. He discusses the California Institute for Machine Consciousness, contrasts today’s “idiot-savant” AI with developmental intelligence, sketches futures from universal basic intelligence to post-human infospheres, and offers frank advice to new researchers on pursuing bold, technically grounded work.

#AGI #AI #Consciousness #SingularityNET #AGISociety #JoschaBach #DecentralizedAGI

SingularityNET was founded by Dr. Ben Goertzel with the mission of creating a decentralized, democratic, inclusive, and beneficial Artificial General Intelligence (AGI). An AGI is not dependent on any central entity, is open to anyone, and is not restricted to the narrow goals of a single corporation or even a single country.

The SingularityNET team includes seasoned engineers, scientists, researchers, entrepreneurs, and marketers. Our core platform and AI teams are further complemented by specialized teams devoted to application areas such as finance, robotics, biomedical AI, media, arts, and entertainment.

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Cracking the code of complexity in computer science’s P vs. NP problem

New research from the University of Waterloo is making inroads on one of the biggest problems in theoretical computer science. But the way to do it, according to Cameron Seth, a Ph.D. researcher working in the field of algorithmic approximation, is by breaking the problem down into smaller pieces.

“Everyone working in computer science and mathematics knows about the ‘P vs. NP’ problem,” Seth says. “It’s one of the notorious Millennium Prize Problems: so famous and so difficult that solving one will earn you a million dollars.”

To understand the crux of the “P vs. NP” problem, imagine an enormous jigsaw puzzle or a Sudoku puzzle. It would be a “P” problem if it could be solved relatively quickly by a computer, whereas they would be an “NP” problem if they were extremely difficult to solve, but a provided solution could be quickly verified.

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