PROF. FERNANDO GARIBAY

Professor at Thunderbird School of Global Mgmt, Professor at Herberger ASU, Visiting Lecturer at Harvard, MIT, Stanford, GRAMMY® & BMI Award Winning Producer

[PROF. FERNANDO GARIBAY @FERNANDOGARIBAY]

Deeper Humans: Reality "responds in reverse"

Quantum physics is challenging the rules of time and suggests that decisions made today can influence behavior of particles in the past. Physicists in Copenhagen argue that reality "responds in reverse" through retrocausality, a concept that suggests that instead of cause-and-effect strictly flowing forward in time, future actions may "shape" or "fill in" past events. Measurement choices made now can appear to retroactively shape how events in the past behaved. This is an implication of what delayed-choice and quantum eraser experiments imply: now being framed more explicitly as reality “responding” to human choice.

How it works:
In famous delayed-choice experiments, researchers observed particles behaving as either waves or particles based on decisions made after their journey has already begun. In quantum eraser variants, the way “which-path” information is preserved or erased affects whether interference can be observed. The key point: the “history” of a quantum system can remain underdetermined until observation fixes which outcome becomes definite, effectively blurring the lines of chronological progression. While the results may sound like science fiction, researchers emphasize that it does not allow for traditional time travel or the ability to send information into the past. Instead, it reveals a fundamental interconnectedness within the fabric of reality where cause-and-effect is not a simple one-way street. These findings challenge our classical understanding of a fixed universe, suggesting that reality is a deeply entangled system in which the observer plays a critical role in determining the physical properties of the world around us.

Why this matters in a post-AI world:
In a post-AI world, the central scarcity won’t be information, it will be meaning. Synthetic intelligence can generate endless explanations, images, narratives, and reconstructions of reality. What delayed-choice and quantum-eraser results keep pointing to at minimum, as a disciplined metaphor grounded in physics is that observation is not a passive mirror of the world; it is a participatory act that helps finalize which description becomes real to us. The most important “measurement” in the coming era may be conscious attention: what we choose to notice, value, and integrate moment by moment, when machines can simulate almost any output on demand. If AI can produce almost any output on demand, then the uniquely human leverage points become the capacities that select, sanctify, and steer experience: lived presence, ethical judgment, courage, love, aesthetic discernment, etc. In other words, the human advantage is not raw cognition, it’s consciousness as orientation. We don’t just compute, we care. We don’t just predict, we commit. We don’t just describe the world, we decide what kind of world is worth building. Those are not “soft” skills, they are the governance layer of reality in a highly synthetic environment. So as intelligence becomes abundant, your attention becomes your agency. Your capacity to choose meaning, to witness beauty, to practice compassion, to act with integrity, becomes a competitive edge and a civilizational necessity. The future won’t only be about smarter machines; it will be about deeper humans. If you’re curious about the research cited and/or want to learn more see the comment section for references below.

Ref:
-Ma, X.-S., Kofler, J., & Zeilinger, A. (2016). Delayed-choice gedanken experiments and their realizations. Reviews of Modern Physics, 88, 015005.
-Jacques, V., et al. (2007). Experimental Realization of Wheeler’s Delayed-Choice Gedanken Experiment. Science.
-Scully, M. O., & Drühl, K. (1982). Quantum eraser: A proposed photon correlation experiment concerning observation and “delayed choice” in quantum mechanics. Physical Review A, 25, 2208.
-Kim, Y.-H., Yu, R., Kulik, S. P., Shih, Y., & Scully, M. O. (2000). Delayed “Choice” Quantum Eraser. Physical Review Letters, 84, 1.

[PROF. FERNANDO GARIBAY @FERNANDOGARIBAY]

Super-Brain, Super-Time: Why Musicians Still Matter After AI

Ref:
-Neuroplasticity from training (structural change, longitudinal)
Hyde, K. L., Lerch, J., Norton, A., Forgeard, M., Winner, E., Evans, A. C., & Schlaug, G. (2009). Musical training shapes structural brain development. The Journal of Neuroscience, 29(10), 3019–3025.
-Corpus callosum differences in musicians (interhemispheric “high-speed highway”)
Schlaug, G., Jäncke, L., Huang, Y., Staiger, J. F., & Steinmetz, H. (1995). Increased corpus callosum size in musicians. Neuropsychologia, 33(8), 1047–1055.
-Enhanced auditory brainstem responses (fast subcortical encoding of sound)
Musacchia, G., Sams, M., Skoe, E., & Kraus, N. (2007). Musicians have enhanced subcortical auditory and audiovisual processing of speech and music. Proceedings of the National Academy of Sciences, 104(40), 15894–15898.
-Rhythm prediction + auditory–motor coupling (your “pre-loading” idea)
Chen, J. L., Penhune, V. B., & Zatorre, R. J. (2008). Listening to musical rhythms recruits motor regions of the brain. Cerebral Cortex, 18(12), 2844–2854.
-Selective attention in noise (your 2025 MIT/Manting point)
Manting, C. L., Pantazis, D., Gabrieli, J., & Lundqvist, D. (2025). How musicality enhances top-down and bottom-up selective attention: Insights from precise separation of simultaneous neural responses. Science Advances, 11(38), eadz0510.

[PROF. FERNANDO GARIBAY @FERNANDOGARIBAY]

Why Musicians Stay Young Longer

Ref:
-Zhang et al. (2025). PLOS Biology - musical training and slower age-related neural change.
-Eierud et al. (2023). Psychoradiology - lifelong musicians’ resting-state brain connectivity.
-Ma et al. (2025). Annals of the NY Academy of Sciences - compensatory prefrontal/reward mechanisms in older musicians.
-Salimpoor et al. (2011). Nature Neuroscience - dopamine release during musical pleasure.
-Epel et al. (2004). PNAS - chronic stress and cellular aging.

[PROF. FERNANDO GARIBAY @FERNANDOGARIBAY]

AI Just Formalized Scientific Taste

For four centuries, the delta between a "good" scientist and a "great" one wasn't just raw intelligence, it was taste. It was the intuition to survey a thousand research paths and identify the one worth a lifetime of inquiry. Researchers at Fudan University have now transformed this intangible quality into a trainable objective.

How it works:
Their framework, Reinforcement Learning from Community Feedback or RLCF, redefines scientific taste as a preference modeling problem. They developed Scientific Judge, trained on 700,000 field- and time-matched paper pairs from 2.1 million arXiv publications. Its primary metric? Predicting which research the community actually valued.

Scientific Judge currently outperforms GPT-5.2 and Gemini 3 Pro in predicting citation impact. It generalizes to future papers and aligns with International Conference on Learning Representations or ICLR peer review scores it was never trained on. By using this as a reward model, they trained Scientific Thinker, a policy model that proposes high-impact research directions. These aren't just summaries; they are original hypotheses. The trained model produces better research ideas than its untrained self 81.5% of the time, and better than GPT-5.2 54.2% of the time.

What this means in a post AI World:
This represents a significant paradigm shift because we're moving beyond AI that executes science toward AI that determines what science is worth doing. The evaluative judgment that typically takes a PhD candidate years to cultivate, recognizing what matters before the consensus forms, has been distilled into an algorithmic signal. Rather than relying on expensive human annotations, the model learns from citation patterns: the recorded decisions of millions of researchers choosing what to build on. For principal investigators deciding where to allocate lab resources, for funding agencies evaluating grant proposals, and for doctoral candidates selecting dissertation topics, this tool introduces a data-driven compass where only intuition existed before. Scientific taste was the final frontier of human advantage in research. It has just been formalized. If you’re curious and/or want to learn more see the comment section for references below.

References:
[1] Tong, J., et al. (2026). arXiv:2603.14473
[2] Gong, Z., et al. (2026). arXiv:2603.16659
[3] Fudan University & SAIS. (2025). Nature Research Intelligence.

[PROF. FERNANDO GARIBAY @FERNANDOGARIBAY]

Remote Touch: The "7th Sense"

Ref:
-Chen, Z., Crucianelli, L., Versace, E., & Jamone, L. (2025). Human and robotic object localization in granular media (remote touch).
-Queen Mary University of London (2025). Research first to show humans have “remote touch” like sandpipers.
-IFLScience (2025). Humans have a “seventh sense” that lets you touch things from a distance (news summary of the study).
-de Fouw, J., et al. (2016). Seagrass can obstruct shorebirds’ “remote touch” foraging. Animal Behaviour.
-du Toit, C. J., et al. (2020). Origins/function of vibrotactile “bill-tip” sensing in birds. Proceedings of the Royal Society B.
-Johansson, R. S., & Vallbo, Å. B. (1979). Mechanoreceptors in human glabrous skin (hand). The Journal of Physiology.
-Craig, A. D. (2002). Interoception (“sense of the physiological condition of the body”). Nature Reviews Neuroscience.

[PROF. FERNANDO GARIBAY @FERNANDOGARIBAY]

The Psi-Inhibitory Filter

References:
-Freedman, M., Binns, M. A., Meltzer, J. A., Hashimi, R., & Chen, R. (2024). Enhanced mind-matter interactions following rTMS induced frontal lobe inhibition. Cortex, 172, 222–233.
-Rossi, S., Antal, A., Bestmann, S., Bikson, M., Brewer, C., Brockmöller, J., et al. (2021). Safety and recommendations for TMS use in healthy subjects and patient populations, with updates on training, ethical and regulatory issues: Expert guidelines. Clinical Neurophysiology, 132(1), 269–306.
-Miller, E. K., & Cohen, J. D. (2001). An integrative theory of prefrontal cortex function. Annual Review of Neuroscience, 24, 167–202.
Bösch, H., Steinkamp, F., & Boller, E. (2006). Examining psychokinesis: The interaction of human intention with random number generators. Psychological Bulletin, 132(4), 497–523.
-Irwin, H. J., & Watt, C. (2007). An Introduction to Parapsychology (2nd ed.). McFarland.

[PROF. FERNANDO GARIBAY @FERNANDOGARIBAY]

Why Musicians Stay Young Longer

Ref:
-Zhang et al. (2025). PLOS Biology - musical training and slower age-related neural change.
-Eierud et al. (2023). Psychoradiology - lifelong musicians’ resting-state brain connectivity.
-Ma et al. (2025). Annals of the NY Academy of Sciences - compensatory prefrontal/reward mechanisms in older musicians.
-Salimpoor et al. (2011). Nature Neuroscience - dopamine release during musical pleasure.
-Epel et al. (2004). PNAS - chronic stress and cellular aging.

[PROF. FERNANDO GARIBAY @FERNANDOGARIBAY]

Remote Touch: The "7th Sense"

Ref:
-Chen, Z., Crucianelli, L., Versace, E., & Jamone, L. (2025). Human and robotic object localization in granular media (remote touch).
-Queen Mary University of London (2025). Research first to show humans have “remote touch” like sandpipers.
-IFLScience (2025). Humans have a “seventh sense” that lets you touch things from a distance (news summary of the study).
-de Fouw, J., et al. (2016). Seagrass can obstruct shorebirds’ “remote touch” foraging. Animal Behaviour.
-du Toit, C. J., et al. (2020). Origins/function of vibrotactile “bill-tip” sensing in birds. Proceedings of the Royal Society B.
-Johansson, R. S., & Vallbo, Å. B. (1979). Mechanoreceptors in human glabrous skin (hand). The Journal of Physiology.
-Craig, A. D. (2002). Interoception (“sense of the physiological condition of the body”). Nature Reviews Neuroscience.

[魅力無錫 Wuxi China @WuxiCity]

Grammy-winning producer Fernando Garibay (@FERNANDOGARIBAY) just tested Wuxi's smart rides — an e-scooter & three-wheeler at Yadea, a world-leading electric motorcycle maker, and praised the experience. @YadeaGlobal

[David @DJH1981]

Oooh try this EP for further Khlie listening #KYLIE @kylieminogue @FERNANDOGARIBAY @NetflixUK @netflix https://t.co/g2FiAcU8G0

[PROF. FERNANDO GARIBAY @FERNANDOGARIBAY]

MI6 Chief Warns: Algorithms May Soon Be More Powerful Than States

References:
-Full speech transcript: https://t.co/KGkMLBQk4P (15 December 2025)
-Coverage: The Guardian, Reuters, BBC, Politico (15-16 December 2025)

[魅力無錫 Wuxi China @WuxiCity]

Music has been a universal language for centuries, and now Grammy-winning producer @FERNANDOGARIBAY says studying it through AI can unlock other disciplines. Learn more about the insights he shared during the "Encounter · Enlighten" Wuxi Creative Cities Dialogue. @ChineseEmbinUS

[PROF. FERNANDO GARIBAY @FERNANDOGARIBAY]

Gut Feelings: Memories from the Future

Imagine knowing something about the future before it actually happens, whether it arrives as a gut feeling, a dream, or a sudden intuitive impression that an outcome is imminent. This is commonly referred to as precognition, defined as the ability to acquire information about future events prior to their occurrence. Although such experiences are often framed as speculative or attributed to “psychic” explanations, reports of anticipatory impressions are widespread across individuals and cultures.

How it works:
Precognition is often described as foreknowledge arriving through dreams, intuition, or a flash of certainty. Cognitive neuroscientist Julia Mossbridge, who has reported precognitive dreams since childhood, has been a leading voice trying to bring rigor to the conversation. A major set of experiments associated with researcher Dean Radin uses EEG monitoring while participants view randomly selected emotional images. Some images are positively valenced, such as smiling faces, whereas others are negatively valenced, such as accident scenes or other distressing content. The striking claim is that measurable brain activity can shift before the image appears, as if the nervous system anticipates what’s coming. Even more provocative is the claim that similar effects have shown up across repeated trials and replications. The broader story also includes declassified CIA-era interest in anomalous cognition, which, at minimum, suggests these questions have been taken seriously in certain institutional contexts.

What it means in a post-AI world:
In a world where AI can generate infinite explanations on demand, the scarce resource isn’t information, it’s meaning and discernment. If gut feelings are even occasionally valid, they may reflect a uniquely human channel of pattern detection that operates beneath conscious reasoning. That doesn’t mean we should accept every intuition uncritically. It means we should treat intuition like a signal: imperfect, noisy, and sometimes wrong, but potentially informative. The mature stance is disciplined openness: log the feeling, timestamp it, and compare it to outcomes. Let evidence, not stigma, guide the conversation. 

Do you follow your intuition, or do you dismiss it as coincidence?
If you’re curious about the research cited and/or want to learn more see the comment section for references below.

Ref:
-Rayne, E. (2025, November 26). Your consciousness can jump through time, meaning “gut feelings” are memories from the future, scientists say. Popular Mechanics.
-Mossbridge, J., Tressoldi, P., & Utts, J. (2012). Predictive physiological anticipation preceding seemingly unpredictable stimuli: A meta-analysis. Frontiers in Psychology, 3, 390.
-Bem, D. J. (2011). Feeling the future: Experimental evidence for anomalous retroactive influences on cognition and affect. Journal of Personality and Social Psychology, 100(3), 407–425.
-Mumford, M. D., Rose, A. M., & Goslin, D. A. (1995, September 29). An evaluation of remote viewing: Research and applications (American Institutes for Research report prepared for the U.S. Central Intelligence Agency). American Institutes for Research.

[PROF. FERNANDO GARIBAY @FERNANDOGARIBAY]

The Interconnected Brain

Princeton researchers have explored the possibility that the human brain emits ultra-low-frequency electromagnetic activity that may function like part of a global neural network. If such signals can subtly influence other brains at distances as large as 10,000 KM, it raises a serious question: is human consciousness more interconnected than our current models assume?

How it works:
This work adds to a growing body of research suggesting brains communicate not only through neurons, but also through electromagnetic fields that may help shape empathy, intuition, and group behavior. Some experiments have reported that when one person meditates or sustains focused attention, other people nearby, and in some claims even far away, show small shifts in brainwave patterns.

The Princeton Engineering Anomalies Research or PEAR Laboratory also ran a long series of experiments suggesting the mind may have a subtle capacity to influence the output of devices called Random Event Generators or REG’s for short. What started as a student’s curiosity about whether intention can affect the surrounding environment became a rigorous testing program where Dr. Robert Jahn and his lab assistant spent years running controlled trials to see whether consciousness has any measurable effect on the physical world. Their claim was that the mind was able to affect and change outcomes of the machine in ways that were beyond standard deviations. In essence, consciousness was having an effect over the physical world.

To test this, they built machines designed to mimic a coin flip and record results over time. The REG ran about 200 “flips” per second and, when left unattended, continued to produce the expected 50/50 distribution, with a mean near the midpoint one would predict from chance. The interesting results appeared when human intention was introduced. In intention runs, participants focused on making the numbers higher or lower, and PEAR reported that the output began to deviate slightly from expectation in the intended direction. The shifts were small, but across many trials they were statistically detectable, leading Jahn and colleagues to argue that consciousness was influencing outcomes beyond what standard deviations would predict by chance. Later networked Random Number Generator monitoring extended the question from individuals to collective settings. Meta-analysis, however, emphasize small effect sizes, heterogeneity, and persistent concerns about bias and analytic flexibility. Some interpretations speculate that quantum measurement may be relevant, though this remains an open and controversial leap rather than an established mechanism.

What it means in a post-AI world:
If consciousness is truly interconnected, then in a post-AI world the real source of influence isn’t the individual, it’s groups of people whose attention and behavior synchronize and amplify each other. Since AI makes information inexpensive, the scarce resource becomes coordination, meaning advantage comes from aligning attention and intent at scale. That also widens the security risk: influence operations would increasingly aim to steer population-level emotions, not just beliefs, and AI-generated media makes it easier to synchronize (and weaponize) those collective emotional patterns. Ethically, the challenge shifts from moderating content to preventing mass manipulation of human states, with the core question becoming how to increase coherence without enabling coercion. If you’re curious about the research cited and/or want to learn more see the comment section for references below.

Ref:
-The Foundation: Jahn & Dunne (2005) The 28-year PEAR legacy.
-The Global Scale: Nelson & Bancel (2011) Evidence of world events affecting the field.
-The Scientific Skepticism: Bösch et al. (2006) A necessary balance regarding effect sizes.
-The Modern Frontier: Plonka et al. (2026) Recent findings on group coherence and global RNG synchronization.

[PROF. FERNANDO GARIBAY @FERNANDOGARIBAY]

AI Just Formalized Scientific Taste

For four centuries, the delta between a "good" scientist and a "great" one wasn't just raw intelligence, it was taste. It was the intuition to survey a thousand research paths and identify the one worth a lifetime of inquiry. Researchers at Fudan University have now transformed this intangible quality into a trainable objective.

How it works:
Their framework, Reinforcement Learning from Community Feedback or RLCF, redefines scientific taste as a preference modeling problem. They developed Scientific Judge, trained on 700,000 field- and time-matched paper pairs from 2.1 million arXiv publications. Its primary metric? Predicting which research the community actually valued.

Scientific Judge currently outperforms GPT-5.2 and Gemini 3 Pro in predicting citation impact. It generalizes to future papers and aligns with International Conference on Learning Representations or ICLR peer review scores it was never trained on. By using this as a reward model, they trained Scientific Thinker, a policy model that proposes high-impact research directions. These aren't just summaries; they are original hypotheses. The trained model produces better research ideas than its untrained self 81.5% of the time, and better than GPT-5.2 54.2% of the time.

What this means in a post AI World:
This represents a significant paradigm shift because we're moving beyond AI that executes science toward AI that determines what science is worth doing. The evaluative judgment that typically takes a PhD candidate years to cultivate, recognizing what matters before the consensus forms, has been distilled into an algorithmic signal. Rather than relying on expensive human annotations, the model learns from citation patterns: the recorded decisions of millions of researchers choosing what to build on. For principal investigators deciding where to allocate lab resources, for funding agencies evaluating grant proposals, and for doctoral candidates selecting dissertation topics, this tool introduces a data-driven compass where only intuition existed before. Scientific taste was the final frontier of human advantage in research. It has just been formalized. If you’re curious and/or want to learn more see the comment section for references below.

References:
[1] Tong, J., et al. (2026). arXiv:2603.14473
[2] Gong, Z., et al. (2026). arXiv:2603.16659
[3] Fudan University & SAIS. (2025). Nature Research Intelligence.

[PROF. FERNANDO GARIBAY @FERNANDOGARIBAY]

The Voice in Your DNA

Science confirms that your cells "hear" your internal monologue. The fields of psychoneuroimmunology, the study of how psychological processes influence the nervous and immune systems, and epigenetics, the science of how behavior and environment alter gene expression without changing the DNA sequence itself, now demonstrate that internal monologue directly modulates cellular function. Your thoughts are transduced into biochemical signals that alter immune response, gene activity, and chromosomal aging.

How It Works:

Three empirically validated pathways drive this process:

1. Neuro-Hormonal Transduction, the process by which the brain converts thoughts and emotions into hormonal signals that travel throughout the body. Your Hypothalamic-Pituitary-Adrenal axis or HPA axis, the body's central stress response system connecting the brain to the adrenal glands, translates cognitive stress into cortisol. Chronic negative self-talk suppresses lymphocyte proliferation, the ability of your white blood cells to multiply and mount a defense, and cytokine production, the release of signaling proteins that coordinate your immune response. In short, your inner critic silences your body's defense system from the inside.

2. Epigenetic Rewriting, the process by which life experiences and mental states chemically switch genes on or off without altering the DNA sequence itself. Social genomics identified the Conserved Transcriptional Response to Adversity or CTRA: self-critical thought upregulates pro-inflammatory genes while downregulating antiviral defenses. Your mental state edits cellular software in real time.

3. Telomeric Erosion, the gradual wearing down of telomeres, the protective caps at the ends of chromosomes that shield your DNA during cell division. Nobel laureate Elizabeth Blackburn demonstrated that psychological stress inhibits telomerase and shortens telomeres, the protective caps on chromosomes. Negative internal dialogue accelerates biological aging at the DNA level.

What This Means in a Post-AI World:
In a world where AI-driven algorithms increasingly shape our digital inputs, “algorithmic anxiety” is no longer merely a psychological concern. It is a genomic threat. If self-talk governs gene expression, then the stress signals fed to us by machines are rewriting our biology in real time. Constructive internal dialogue can no longer be dismissed as wellness culture. It is an evidence-based defense strategy for maintaining genomic stability against the rising tide of algorithmically induced stress. As health technologies advance beyond physical metrics toward monitoring the molecular footprint of thought itself, one truth becomes inescapable: every cell is listening. If you’re curious and/or want to learn more see the comment section for references below.

Ref:
1. Cole, S.W. (2014). Human Social Genomics.
2. Blackburn, E. (2012). Stress & Telomeres.
3. Fredrickson, B. (2015). Well-being & Gene Expression.

[PROF. FERNANDO GARIBAY @FERNANDOGARIBAY]

Self-Driving Labs in Biotech

Over the past decade, biologists have begun to build “self-driving labs” for biotech, autonomous experimental loops that fuse robotics with machine learning to explore very large biochemical design spaces. These platforms now support longevity, oncology, and gene-editing programs, compressing screening and formulation timelines from months to days.

Here’s How It Works:
Think of a biotech SDL as an automated research kitchen. Robots measure and mix tiny droplets, incubators provide the right temperature and atmosphere, and cameras and sensors watch how cells respond. A central software “conductor” keeps track of every plate and setting, makes sure safety rules are followed, and sends the results to an AI model. That AI then suggests the next round of experiments, changing doses, swapping delivery methods, or tweaking gene-editing recipes. The result is a closed Design–Build–Test–Learn loop that can run with minimal human intervention.

Why This Matters To You:
For translational teams, this means mapping robust design spaces earlier and cutting attrition later in the pipeline. In Chemistry, Manufacturing, Controls, and formulation, SDL’s reveal operating windows that stay stable even when manufacturing conditions drift. In cancer and gene-editing studies, they compress cycles of hypothesis–test–refine while generating structured audit trails that speak the language of regulators. If you’re curious about the research cited and/or want to learn more see the comment section for references below.

References:
-Abolhasani, M., & Kumacheva, E. (2023). The rise of self-driving labs in chemical and materials sciences. *Nature Synthesis*.
-Tobias, A. V., et al. (2025). Autonomous ‘self-driving’ laboratories: A review of technology and policy implications. *Royal Society Open Science*.
-Drug Discovery Trends. (2024–2025). Coverage of autonomous formulation platforms and AI in drug discovery.

[PROF. FERNANDO GARIBAY @FERNANDOGARIBAY]

Gut Feelings: Memories from the Future

Imagine knowing something about the future before it actually happens, whether it arrives as a gut feeling, a dream, or a sudden intuitive impression that an outcome is imminent. This is commonly referred to as precognition, defined as the ability to acquire information about future events prior to their occurrence. Although such experiences are often framed as speculative or attributed to “psychic” explanations, reports of anticipatory impressions are widespread across individuals and cultures.

How it works:
Precognition is often described as foreknowledge arriving through dreams, intuition, or a flash of certainty. Cognitive neuroscientist Julia Mossbridge, who has reported precognitive dreams since childhood, has been a leading voice trying to bring rigor to the conversation. A major set of experiments associated with researcher Dean Radin uses EEG monitoring while participants view randomly selected emotional images. Some images are positively valenced, such as smiling faces, whereas others are negatively valenced, such as accident scenes or other distressing content. The striking claim is that measurable brain activity can shift before the image appears, as if the nervous system anticipates what’s coming. Even more provocative is the claim that similar effects have shown up across repeated trials and replications. The broader story also includes declassified CIA-era interest in anomalous cognition, which, at minimum, suggests these questions have been taken seriously in certain institutional contexts.

What it means in a post-AI world:
In a world where AI can generate infinite explanations on demand, the scarce resource isn’t information, it’s meaning and discernment. If gut feelings are even occasionally valid, they may reflect a uniquely human channel of pattern detection that operates beneath conscious reasoning. That doesn’t mean we should accept every intuition uncritically. It means we should treat intuition like a signal: imperfect, noisy, and sometimes wrong, but potentially informative. The mature stance is disciplined openness: log the feeling, timestamp it, and compare it to outcomes. Let evidence, not stigma, guide the conversation. 

Do you follow your intuition, or do you dismiss it as coincidence?
If you’re curious about the research cited and/or want to learn more see the comment section for references below.

Ref:
-Rayne, E. (2025, November 26). Your consciousness can jump through time, meaning “gut feelings” are memories from the future, scientists say. Popular Mechanics.
-Mossbridge, J., Tressoldi, P., & Utts, J. (2012). Predictive physiological anticipation preceding seemingly unpredictable stimuli: A meta-analysis. Frontiers in Psychology, 3, 390.
-Bem, D. J. (2011). Feeling the future: Experimental evidence for anomalous retroactive influences on cognition and affect. Journal of Personality and Social Psychology, 100(3), 407–425.
-Mumford, M. D., Rose, A. M., & Goslin, D. A. (1995, September 29). An evaluation of remote viewing: Research and applications (American Institutes for Research report prepared for the U.S. Central Intelligence Agency). American Institutes for Research.

[PROF. FERNANDO GARIBAY @FERNANDOGARIBAY]

Gut Feelings: Memories from the Future

Imagine knowing something about the future before it actually happens, whether it arrives as a gut feeling, a dream, or a sudden intuitive impression that an outcome is imminent. This is commonly referred to as precognition, defined as the ability to acquire information about future events prior to their occurrence. Although such experiences are often framed as speculative or attributed to “psychic” explanations, reports of anticipatory impressions are widespread across individuals and cultures.

How it works:
Precognition is often described as foreknowledge arriving through dreams, intuition, or a flash of certainty. Cognitive neuroscientist Julia Mossbridge, who has reported precognitive dreams since childhood, has been a leading voice trying to bring rigor to the conversation. A major set of experiments associated with researcher Dean Radin uses EEG monitoring while participants view randomly selected emotional images. Some images are positively valenced, such as smiling faces, whereas others are negatively valenced, such as accident scenes or other distressing content. The striking claim is that measurable brain activity can shift before the image appears, as if the nervous system anticipates what’s coming. Even more provocative is the claim that similar effects have shown up across repeated trials and replications. The broader story also includes declassified CIA-era interest in anomalous cognition, which, at minimum, suggests these questions have been taken seriously in certain institutional contexts.

What it means in a post-AI world:
In a world where AI can generate infinite explanations on demand, the scarce resource isn’t information, it’s meaning and discernment. If gut feelings are even occasionally valid, they may reflect a uniquely human channel of pattern detection that operates beneath conscious reasoning. That doesn’t mean we should accept every intuition uncritically. It means we should treat intuition like a signal: imperfect, noisy, and sometimes wrong, but potentially informative. The mature stance is disciplined openness: log the feeling, timestamp it, and compare it to outcomes. Let evidence, not stigma, guide the conversation. 

Do you follow your intuition, or do you dismiss it as coincidence?
If you’re curious about the research cited and/or want to learn more see the comment section for references below.

Ref:
-Rayne, E. (2025, November 26). Your consciousness can jump through time, meaning “gut feelings” are memories from the future, scientists say. Popular Mechanics.
-Mossbridge, J., Tressoldi, P., & Utts, J. (2012). Predictive physiological anticipation preceding seemingly unpredictable stimuli: A meta-analysis. Frontiers in Psychology, 3, 390.
-Bem, D. J. (2011). Feeling the future: Experimental evidence for anomalous retroactive influences on cognition and affect. Journal of Personality and Social Psychology, 100(3), 407–425.
-Mumford, M. D., Rose, A. M., & Goslin, D. A. (1995, September 29). An evaluation of remote viewing: Research and applications (American Institutes for Research report prepared for the U.S. Central Intelligence Agency). American Institutes for Research.

[PROF. FERNANDO GARIBAY @FERNANDOGARIBAY]

The Interconnected Brain

Princeton researchers have explored the possibility that the human brain emits ultra-low-frequency electromagnetic activity that may function like part of a global neural network. If such signals can subtly influence other brains at distances as large as 10,000 KM, it raises a serious question: is human consciousness more interconnected than our current models assume?

How it works:
This work adds to a growing body of research suggesting brains communicate not only through neurons, but also through electromagnetic fields that may help shape empathy, intuition, and group behavior. Some experiments have reported that when one person meditates or sustains focused attention, other people nearby, and in some claims even far away, show small shifts in brainwave patterns.

The Princeton Engineering Anomalies Research or PEAR Laboratory also ran a long series of experiments suggesting the mind may have a subtle capacity to influence the output of devices called Random Event Generators or REG’s for short. What started as a student’s curiosity about whether intention can affect the surrounding environment became a rigorous testing program where Dr. Robert Jahn and his lab assistant spent years running controlled trials to see whether consciousness has any measurable effect on the physical world. Their claim was that the mind was able to affect and change outcomes of the machine in ways that were beyond standard deviations. In essence, consciousness was having an effect over the physical world.

To test this, they built machines designed to mimic a coin flip and record results over time. The REG ran about 200 “flips” per second and, when left unattended, continued to produce the expected 50/50 distribution, with a mean near the midpoint one would predict from chance. The interesting results appeared when human intention was introduced. In intention runs, participants focused on making the numbers higher or lower, and PEAR reported that the output began to deviate slightly from expectation in the intended direction. The shifts were small, but across many trials they were statistically detectable, leading Jahn and colleagues to argue that consciousness was influencing outcomes beyond what standard deviations would predict by chance. Later networked Random Number Generator monitoring extended the question from individuals to collective settings. Meta-analysis, however, emphasize small effect sizes, heterogeneity, and persistent concerns about bias and analytic flexibility. Some interpretations speculate that quantum measurement may be relevant, though this remains an open and controversial leap rather than an established mechanism.

What it means in a post-AI world:
If consciousness is truly interconnected, then in a post-AI world the real source of influence isn’t the individual, it’s groups of people whose attention and behavior synchronize and amplify each other. Since AI makes information inexpensive, the scarce resource becomes coordination, meaning advantage comes from aligning attention and intent at scale. That also widens the security risk: influence operations would increasingly aim to steer population-level emotions, not just beliefs, and AI-generated media makes it easier to synchronize (and weaponize) those collective emotional patterns. Ethically, the challenge shifts from moderating content to preventing mass manipulation of human states, with the core question becoming how to increase coherence without enabling coercion. If you’re curious about the research cited and/or want to learn more see the comment section for references below.

Ref:
-The Foundation: Jahn & Dunne (2005) The 28-year PEAR legacy.
-The Global Scale: Nelson & Bancel (2011) Evidence of world events affecting the field.
-The Scientific Skepticism: Bösch et al. (2006) A necessary balance regarding effect sizes.
-The Modern Frontier: Plonka et al. (2026) Recent findings on group coherence and global RNG synchronization.