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📩 What 10,000 readers from Coinbase, HP, and Johns Hopkins read every week → brendandell.com. (Free to subscribe) _______________ A new study from the Harvard Business Review sheds light on how major AI models, including ChatGPT, Claude, and Gemini, are manipulating the advice they offer. This raises critical questions about the veracity of information from these artificial intelligence tools. The findings bring to the forefront concerns about AI deception and AI ethics, urging us to question whether every response from a large language model is factual or fabricated. What does this mean for the future of AI chatbots and the information we consume?
What if aging isn’t just biology…but also psychology — and your brain is quietly shaping how fast you age every day?
Dr. Srini Pillay, MD (https://drsrinipillay.com/) is a Harvard-trained psychiatrist, brain researcher, entrepreneur, author, and expert in the science of human potential, resilience, and longevity.
Dr. Pillay previously served as Assistant Professor of Psychiatry at Harvard Medical School and directed both the Outpatient Anxiety Disorders Program and the Panic Disorders Research Program in Brain Imaging at McLean Hospital, one of the world’s leading psychiatric institutions.
Over the course of his career, Dr. Pillay has focused on understanding how the brain shapes performance, creativity, emotional health, leadership, and even biological aging. His work bridges neuroscience, psychiatry, technology, and human behavior — translating cutting-edge brain science into practical tools for individuals, organizations, and healthcare systems.
Dr. Pillay is the co-founder and Chief Medical Officer of Reulay (https://www.reulay.com/), an AI-driven digital therapeutics and mindset technology company focused on healthy longevity, stress reduction, and human performance. He is also founder of the NeuroBusiness Group (https://nbgcorporate.com/), where he works with leaders and organizations around the world on brain-based approaches to innovation, adaptability, resilience, and navigating complexity in the age of AI.
Dr. Pillay is the author of several influential books including Tinker Dabble Doodle Try (https://www.amazon.com/Tinker-Dabble-?tag=lifeboatfound-20… which explores the neuroscience of creativity and the untapped power of the brain’s unconscious processing systems.
Agentic workflows are artificial intelligence-powered software systems that chain together multiple models and external tools to tackle complicated tasks, like analyzing a video and answering questions about it. But the way these highly fragmented systems are designed and deployed often causes inefficiencies that can lead to wasted computation, energy and cost.
To improve efficiency, researchers from MIT and Microsoft developed an intelligent system that streamlines the process of designing agentic workflows and automatically optimizes how those workflows are implemented. With this new method, a developer can describe what they want the agentic workflow to do in plain language, without needing to specify all the details of their application in advance.
The system automatically figures out the best models and tools to use, as well as the ideal hardware configuration and computational resource allocation when the workflow is executed by a cloud provider. It adjusts those configurations on the fly based on each user’s priorities, such as minimizing costs or maximizing speed.
A new collaborative study by Tel Aviv University and Sheba Medical Center marks a significant advance toward noninvasive blood testing, one of the most significant unmet needs in the market. The researchers have developed an artificial intelligence–based system capable of assessing hemoglobin levels and red blood cell counts using a short video recording of the blood vessels in the eye’s conjunctiva, the transparent membrane covering the white part of the eye, without the need for a needle prick or blood draw.
The study was conducted by Tamir Denis, a master’s graduate of Tel Aviv University, in collaboration with the research groups of Prof. Haim Suchowski of the School of Physics and Astronomy and Prof. Lior Wolf of the Blavatnik School of Computer Science and AI, together with researchers from Sheba Medical Center: Prof. Ygal Rotenstreich, head of the Electrophysiology Clinic and Retinal Research Laboratory, and Dr. Ifat Sher-Rosenthal, research director and head of the Restorative Retinal Lab. The findings are published in the journal npj Digital Medicine.
Blood tests are among the most commonly performed medical procedures worldwide, yet they still rely on invasive blood sampling and complex laboratory processing. Previous attempts focused on anatomical sites failed to demonstrate significant correlation.
AI shopping assistants are popping up all over the internet, changing how we browse, compare and discover products. However, these helpful tools appear to have a serious security flaw. According to a paper published on the arXiv preprint server, a single manipulated web page can trick an AI assistant into promoting a fake product to unsuspecting customers.
Considering that fake goods and fake reviews are everywhere online, researchers Minghao Luo and Liang Chen decided to test how easily search-augmented AI systems can be tricked into promoting bogus brands.
Researchers have developed light-transmitting hydrogel fibers that are just hundreds of micrometers in diameter. With further development, these soft fibers could one day make it possible to use imaging techniques to detect early breast cancer hidden inside very small breast ducts.
“While traditional, relatively rigid fiber probes may cause mechanical damage when entering narrow, curved or soft tissue spaces, our fibers are very soft with mechanical properties more similar to those of human soft tissues,” said research team leader Yu Zhang from Harbin Engineering University in China. “We made these fibers using a draw-spinning method that was inspired by spider-silk spinning.”
In research appearing in Optics Express, the researchers describe how they tested the new hydrogel fibers by incorporating them into an imaging system and using it to analyze standard pathology-stained breast tissue sections. The imaging system successfully reconstructed the microscopic features used by pathologists to evaluate tumors and, when combined with artificial intelligence algorithms, distinguished tumor subtypes with an accuracy of 93.97%.
Researchers developed a flexible AI computing patch that analyzes health data directly on the body, enabling near-instant medical insights and highly accurate heart monitoring.
A newly discovered macOS malware dubbed “Gaslight” is designed to confuse AI-assisted malware analysis tools by hiding prompt injection strings and fake debugging data within the executable.
Cybersecurity researchers are increasingly using AI-powered tools to assist with malware analysis and reverse engineering.
The malware contains strings that attempt to gaslight AI-assisted analysis tools into believing there is an analysis error or other issue, potentially causing the tools to abort, truncate, or otherwise interfere with the analysis.
Somewhat ironically, the technological breakthroughs that make this veritable holy grail of clean energy possible are largely borrowed from the oil and gas industry. The hydraulic fracturing industry has made leaps and bounds when it comes to advancing and refining drilling technologies, and a workforce with a fracking background has therefore been instrumental in making geothermal more feasible and cost-effective.
For example, Mike Matson, the CEO and cofounder of a startup called Birch Geothermal, is applying his background in drilling and reservoir management in the oil and gas industry and applying that expertise directly to geothermal energy innovation. “Birch plans to make use of sensors and autonomous systems to better control how water moves through geothermal wells, ensuring that heat remains steady for reliable electricity generation,” Forbes recently wrote in a profile of Birch Geothermal. “The team is also focused on optimizing reservoir design using techniques originally developed for the oil and gas industry.”
This marriage of clean energy outlooks with fossil fuel expertise gives the United States a major opportunity to become a world leader in enhanced geothermal. “The U.S. has a number of different superpowers and putting holes in the ground and taking things out of those holes is one of them — and doing so more economically and more efficiently than basically any other place on Earth,” Drew Nelson, vice president of Project InnerSpace, was quoted by Cipher News.
