Executive Summary Artificial intelligence (AI) is advancing from a tool that assists in data analysis, simulations, and idea generation to more autonomous systems, still on the horizon, capable of generating their own unique inventions.
Category: robotics/AI – Page 76
AI Will Give Everyone The Power Of A 10,000-Person Company: Mark Zuckerberg
AI is slated to disrupt traditional jobs, but could also give all people previously unthinkable leverage.
Mark Zuckerberg, CEO of Meta Platforms, has shared some compelling thoughts on the future of artificial intelligence. On a podcast, he posited that AI will eventually surpass individual human intelligence, but, interestingly, argued that this is already happening in a certain sense. His core idea revolves around the combined intelligence of large organizations already functioning as a form of “superintelligence” that individuals can tap into, a power he believes AI will democratize.
“I think that we’re going to get general intelligence,” Zuckerberg stated. “We’re going to have systems that are smarter than any individual, and I think it’s mostly going to be very empowering for people.”
Compromised synapse-clearing ability linked to autism
Autism spectrum disorder (ASD) is a complex neurodevelopmental condition in which affected individuals experience difficulties in social communication and exhibit restricted, repetitive patterns of behavior or interests.
A growing body of research suggests that neurobiological changes, particularly abnormalities in dendritic spines, tiny protrusions on nerve cells where synapses form, may be a hallmark of ASD. In particular, studies have found an unusually high number of these spines in individuals with autism. This overabundance of synaptic connections could disrupt normal communication pathways in the brain, potentially contributing to the behavioral and cognitive features seen in ASD.
Under normal circumstances, the brain undergoes synaptic pruning, a process involving the removal of unnecessary or weak synaptic connections to make way for more efficient neural networks. This pruning is crucial during early development and adolescence.
Something in The Back of Your Eye Could Reveal Whether You Have ADHD
An accurate diagnosis of ADHD is crucial in bringing clarity and the right support to people who need it, but current diagnosis methods are time-consuming and inconsistent. A new study suggests AI could help.
Researchers in South Korea trained machine learning models to connect characteristics in photos of the fundus at the back of the eye to a professional diagnosis of ADHD (attention deficit hyperactivity disorder).
Of four machine learning models tested in the study, the best achieved a 96.9 percent score for predicting ADHD accurately, based on image analysis alone.
Control the Composition of AI-Generated Images With the NVIDIA AI Blueprint for 3D-Guided Generative AI
NVIDIA’s AI Blueprint combines Black Forest Labs’ FLUX.1-dev as an NVIDIA NIM microservice, ComfyUI and Blender in a prebuilt workflow optimized for RTX AI PCs.
Scientists use virtual reality for fish to teach robots how to swarm
Fish are masters of coordinated motion. Schools of fish have no leader, yet individuals manage to stay in formation, avoid collisions, and respond with liquid flexibility to changes in their environment. Reproducing this combination of robustness and flexibility has been a long-standing challenge for human-engineered systems like robots.
‘Explainable’ AI cracks secret language of sticky proteins
An AI tool has made a step forward in translating the language proteins use to dictate whether they form sticky clumps similar to those linked to Alzheimer’s disease and around fifty other types of human disease. In a departure from typical “black-box” AI models, the new tool, CANYA, was designed to be able to explain its decisions, revealing the specific chemical patterns that drive or prevent harmful protein folding.
The discovery, published in the journal Science Advances, was possible thanks to the largest-ever dataset on protein aggregation created to date. The study gives new insights about the molecular mechanisms underpinning sticky proteins, which are linked to diseases affecting half a billion people worldwide.
Protein clumping, or amyloid aggregation, is a health hazard that disrupts normal cell function. When certain patches in proteins stick to each other, proteins grow into dense fibrous masses that have pathological consequences.
Maarten Boudry | Will Humanity Be Subjugated by Superintelligent AIs?
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A group of scientists, engineers, and entrepreneurs in computer science, ML, cryptocommerce, and related fields who leverage those technologies to improve voluntary cooperation across humans, and ultimately AIs.
*Maarten Boudry | Will Humanity Be Subjugated by Superintelligent AIs?*
Abstract: Some people are worried that if we ever create superintelligent AIs, they might turn against us—trying to subjugate humanity, wrest control, and grab resources, much like living creatures shaped by evolution. Dan Hendrycks from the Center for AI Safety has argued that AI systems are already undergoing a form of natural selection, facing ruthless market competition in the current AI race. Will this endow them with the instinctive drives for self-preservation and dominance typical of evolved creatures? In this talk, I push back against this evolutionary doom scenario, using the framework of “Darwinian spaces” by Peter Godfrey-Smith. A better analogy for AI evolution might be the domestication of animals. Just as humans have bred dogs to be friendly and obedient, we might shape AIs in similar ways, selecting for desirable traits like helpfulness and non-aggression. Even in a highly competitive AI race, AIs are unlikely to become selfish or power-hungry. That said, we do agree with the AI doomers on one point: if we allow AIs to “go feral” and be subjected to truly blind evolution—like wild animals competing in nature—that could become very dangerous.
Bio: Dr. Maarten Boudry is a philosopher of science and first holder of the Etienne Vermeersch Chair of Critical Thinking at Ghent University. He published over 50 academic papers and two edited volumes: Science Unlimited? (2018) and Philosophy of Pseudoscience (2013). He wrote six trade books in Dutch on science and philosophy, the latest one being The Betrayal of Enlightenment (Het verraad aan de verlichting, 2025). He’s also a Roots of Progress fellow and a regular contributor to Quillette, The Conversation, The Independent and Human Progress. Substack for English writings: maartenboudry.substack.com.
Bio: Simon Friederich is an associate professor of philosophy of science at the University of Groningen, the Netherlands. He is currently focused on the philosophy of quantum theory, trying to solve the quantum measurement problem along the lines envisioned by Einstein before advanced AI makes his efforts redundant. He has also worked on the philosophy of technology, notably on nuclear energy, sustainability, and advanced AI. His thoughts on these topics have been featured in German and Dutch media. With his wife and five kids he lives in a village in the North of the Netherlands.
*Speaker Link*
https://maartenboudry.substack.com/
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