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.
Garibay Institute
MI6 Chief Warns: Algorithms May Soon Be More Powerful Than States
References:
-Full speech transcript: GOV.UK (15 December 2025)
-Coverage: The Guardian, Reuters, BBC, Politico (15-16 December 2025)
AI Just Formalized Scientific Taste
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.
The Voice in Your DNA
Ref:
1. Cole, S.W. (2014). Human Social Genomics.
2. Blackburn, E. (2012). Stress & Telomeres.
3. Fredrickson, B. (2015). Well-being & Gene Expression.
The Interconnected Brain
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.
Gut Feelings: Memories from the Future
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.
The Psi-Inhibitory Filter
02/25/2026
Repost from
•
This past Thursday, Professor Fernando Garibay of ASU’s Thunderbird School of Management was a guest lecturer in CWSL’s AI and the Law course. The music super producer (and co-writer of Lady Gaga’s Born This Way album and SIA’s recent work) is a long-time collaborator and writing partner of CWSL Professor James Cooper.
A globally recognized thought leader on Artificial Intelligence and sought-after advisor to governments, Professor Garibay works to promote the responsible use of technology in diplomacy, commerce, and human relations. He shared his vision of what AI can do with the class, leaving our students with a sense of hope and possible paths for their respective careers. He called for “hyperspecialization” and recommended that we all strive to be better curators and trust-builders. Thank you, Professor Fernando Garibay, for being there for our students again!
Deeper Humans: Reality “responds in reverse”
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.
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.
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