Huang made his feelings about AI skeptics, haters, and doom-mongers clear on a recent episode of the No Priors podcast.
The boss of the world’s most valuable company said “the battle of the narratives” between those who think AI will benefit society and those who believe it will degrade or even destroy it was one of his biggest takeaways from 2025.
Huang did admit that “it’s too simplistic” to dismiss either of these views entirely, but he believes some naysayers’ views are having a detrimental effect.
This video explores aliens, mind uploading to other species, genetic engineering, and future robots.
SOURCES:
• https://en.wikipedia.org/wiki/Eagle_eye#:~… https://www.scientificamerican.com/ar… • https://en.wikipedia.org/wiki/Human_c… ___ 💡 Future Business Tech explores the future of technology and the world. Examples of topics I cover include: • Artificial Intelligence & Robotics • Virtual and Augmented Reality • Brain-Computer Interfaces • Transhumanism • Genetic Engineering SUBSCRIBE: https://bit.ly/3geLDGO ___ This video explores the future of ChatGPT and 10 ways it could change society. Other related terms: aliens, alien species, advanced civilization, genetic engineering, robot, mind upload, mind uploading, brain computer interface, artificial intelligence, ai, future business tech, future technology, future technologies, etc. ℹ️ Some links are affiliate links. They cost you nothing extra but help support the channel so I can create more videos like this. #alien #aliens #avatar #avatar2 #geneticengineering #braincomputerinterface.
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💡 Future Business Tech explores the future of technology and the world.
Examples of topics I cover include:
• Artificial Intelligence & Robotics.
• Virtual and Augmented Reality.
• Brain-Computer Interfaces.
• Transhumanism.
• Genetic Engineering.
SUBSCRIBE: https://bit.ly/3geLDGO
This video explores the future of ChatGPT and 10 ways it could change society. Other related terms: aliens, alien species, advanced civilization, genetic engineering, robot, mind upload, mind uploading, brain computer interface, artificial intelligence, ai, future business tech, future technology, future technologies, etc.
face_with_colon_three Year 2025
Dartmouth researchers conducted the first-ever clinical trial of a generative AI-powered therapy chatbot and found that the software resulted in significant improvements in participants’ symptoms, according to results published March 27 in NEJM AI.
People in the study also reported they could trust and communicate with the system, known as Therabot, to a degree that is comparable to working with a mental health professional.
The trial consisted of 106 people from across the United States diagnosed with major depressive disorder, generalized anxiety disorder, or an eating disorder. Participants interacted with Therabot through a smartphone app by typing out responses to prompts about how they were feeling or initiating conversations when they needed to talk.
Wrap up for 2025.
Every year I compile what I think were some important contributions to longevity research. Here is my list for 2025!!
Find me on Twitter — / eleanorsheekey.
Support the channel.
through PayPal — https://paypal.me/sheekeyscience?coun… through Patreon — / thesheekeyscienceshow TIMESTAMPS: 00:00 – Intro & “What is aging?” / Hallmarks 2025 02:07 – Cellular reprogramming 05:47 – Senescent cells 11:45 – GLP‑1 agonists & ITP 13:43 – Elastin fragments & ECM aging 15:22 – Cardiac ‘age‑switch’ experiment 16:18 – Systemic environment: FOXO3 cells, antler EVs, plasma exchange 19:26 – Things you wouldn’t have thought of: AI-predicted antibodies REFERENCES: What is aging / hallmarks Hallmarks of aging update 2025 (14 hallmarks, ECM + psychosocial isolation) https://www.sciencedirect.com/science… reprogramming Prevalent mesenchymal drift in aging and disease is reversed by partial reprogramming – Cell 2025 https://doi.org/10.1016/j.cell.2025.0… A single factor for safer cellular rejuvenation (SB000) – bioRxiv 2025 https://doi.org/10.1101/2025.06.05.65… https://www.biorxiv.org/content/10.11… OpenAI x Retro Biosciences: AI‑designed reprogramming factors https://openai.com/index/accelerating… Restoration of neuronal progenitors by partial reprogramming in the aged neurogenic niche – Nature Aging 2024 (YouthBio’s scientific basis) https://doi.org/10.1038/s43587-024-00… Chemical reprogramming ameliorates cellular hallmarks of aging and extends lifespan in Caenorhabditis elegans – EMBO Molecular Medicine 2025 https://doi.org/10.1038/s44321-025-00… https://pmc.ncbi.nlm.nih.gov/articles… Senescent cells An unbiased cell‑culture selection yields DNA aptamers as senescence‑specific reagents – Aging Cell 2025 https://doi.org/10.1111/acel.70245 Senolytic CAR T cells reverse senescence‑associated pathologies – Amor et al., Nature 2020 https://doi.org/10.1038/s41586-020-24… Anti‑uPAR CAR T cells reverse and prevent aging‑associated defects in intestinal regeneration and fitness – Nature Aging 2025 https://doi.org/10.1038/s43587-025-01… Rejuvenation of Senescent Cells, In Vitro and In Vivo, by Low‑Frequency Ultrasound – Aging Cell 2025 https://pmc.ncbi.nlm.nih.gov/articles… Supplements, ITP & GLP‑1s Are GLP‑1s the first longevity drugs? – Nature Biotechnology 2025 https://doi.org/10.1038/s41587-025-02… GLP‑1 receptor agonists at the crossroads of metabolism and longevity – Nature Aging https://www.nature.com/articles/s4151… Extension of lifespan by epicatechin, halofuginone and mitoglitazone in male but not female UM‑HET3 mice – GeroScience 2025 https://doi.org/10.1007/s11357-025-01… https://pubmed.ncbi.nlm.nih.gov/40973… ECM, elastin & cardiac environment Elastin‑derived extracellular matrix fragments drive aging through innate immune activation – Nature Aging 2025 https://doi.org/10.1038/s43587-025-00… Sun, A.R., Ramli, M.F.H., Shen, X. et al. Hybrid hydrogel–extracellular matrix scaffolds identify biochemical and mechanical signatures of cardiac ageing. Nat. Mater. 24, 1489–1501 (2025). https://doi.org/10.1038/s41563-025-02… Systemic environment: stem cells, EVs, plasma Senescence‑resistant human mesenchymal progenitor cells counter aging in primates – Cell 2025 https://doi.org/10.1016/j.cell.2025.0… Attenuation of primate aging via systemic infusion of senescence‑resistant cells – https://pmc.ncbi.nlm.nih.gov/articles… Extracellular vesicles from antler blastema progenitor cells reverse bone loss and mitigate aging‑related phenotypes – Nature Aging 2025 https://pmc.ncbi.nlm.nih.gov/articles… Human clinical trial of plasmapheresis effects on biomarkers of aging – Aging Cell 2025 https://pmc.ncbi.nlm.nih.gov/articles… “Things you wouldn’t think of” – AI antibodies Atomically accurate de novo design of antibodies with atomic precision – Baker Lab, Nature 2025 https://doi.org/10.1038/s41586-025-09… Computational design of human antibodies targeting any antigen – https://doi.org/10.1016/j.cell.2025.1… Please note that The Sheekey Science Show is distinct from Eleanor Sheekey’s teaching and research roles. The information provided in this show is not medical advice, nor should it be taken or applied as a replacement for medical advice. The Sheekey Science Show and guests assume no liability for the application of the information discussed. Icons in intro; “https://www.freepik.com/free-photos-v…“Background vector created by freepik — www.freepik.com.
through Patreon — / thesheekeyscienceshow.
TIMESTAMPS:
2026 — Trends and Insights on Cybersecurity, Artificial Intelligence, and Quantum Computing
By Chuck Brooks
Dear readers, Happy New Year! Please see the latest Security & Tech Insights newsletter that explores evolving tech and security trends for 2026. It is going to be an exciting year for AI, Quantum, Cybersecurity, Space and Robotics! Thanks, and best Chuck Brooks
What Every Company Needs To Know About Cybersecurity In 2026
Researchers at the University of California, Los Angeles (UCLA), in collaboration with pathologists from Hadassah Hebrew University Medical Center and the University of Southern California, have developed a deep learning–based method that can digitally generate multiple immunohistochemical stains from a single, unstained tissue section.
The work is published in the journal BME Frontiers.
The approach enables accurate assessment of vascular invasion—a key indicator of cancer aggressiveness—without the need for conventional chemical staining procedures.
Researchers in China have unveiled a new AI framework that could accelerate the discovery of new medicines. DrugCLIP can scan millions of potential drug compounds against thousands of protein targets in just a few hours—ten million times faster than current virtual screening methods.
Typically, when scientists develop new medicines, they use complex computer simulations to fit a 3D drug molecule into a protein pocket. This indicates that it is likely to interact with the protein’s binding site and function. However, the process is incredibly time-consuming and expensive.
Editorial: Proposals to apply clinician-style licensure to AI tools may allow adaptive oversight as AI models grow more complex. Implementation challenges include defining responsible parties and ensuring adequate regulatory expertise.
In this issue of JAMA Internal Medicine, Bressman et al1 propose a clever thought experiment: what if medical tools incorporating artificial intelligence (AI) were licensed as advanced practitioners, rather than solely regulated by the US Food and Drug Administration (FDA)? This strategy seeks to provide an alternative or complement to FDA clearance in regulation of medical software incorporating AI. The authors suggest this may allow the necessary flexibility to keep up with the pace of change in AI, the breadth of applications for a given model, and the need to ensure that such tools demonstrate clinical utility.2
Many instances of more specific, single-purpose AI applications can be adequately regulated within existing frameworks. However, generative AI may be deployed in a wide range of contexts, and models may continue to develop over time. Because these models are probabilistic rather than deterministic, they may make errors that are analogous to human errors, for example, mistakes due to inadequate knowledge or lapses in judgment. Bressman et al1 argue that an appropriately flexible framework for certification already exists in the form of licensing oversight of advanced practitioners. With this approach, the extent of supervision depends on the particular activity, with some tasks requiring more oversight than others.
The proposal leaves a number of critical details to be resolved. Any AI licensing system will need to be able to evaluate and address a model’s specific potentials for harm before deployment; thus, some central regulation likely will continue to be required. In addition, determining who will take on the responsibility and oversight for decisions and treatment pathways generated by AI, as well as assume the liability for errors or adverse events, remains a thorny question. These considerations are again analogous to those of clinician licensing, but although medical boards are well positioned for licensing, the extent to which a similar approach could be developed with the necessary expertise for AI in medicine remains to be seen.
New self-healing electronic nerves allow robots to “learn” what is dangerous.
Chinese researchers have built a self-healing gelatin sensor that lets robots rate pain and protect themselves after damage.