Neurotic personalities are a staple of science fiction. Researchers who study how people react to robot personalities have recently found that neurotic traits in a robot can make them seem more relatable.

Cryonics in space, cryostasis repair science, and revival ethics and planning are converging in 2025 to shape a bold new vision for life extension and post-biological freedom.
Join us Thursday, July 31 at 6 PM EST for a virtual service featuring two of cryonics’ leading voices:
Rudy Hoffman – Immortality Through Innovation.
Rudy opens with the visionary idea of cryonics in space and shares how today’s planning tools—annuity structures, revival trusts, and insurance-backed systems—support long-term access to biostasis. He ends with a powerful call to preserve freedom in the era of revival governance.
Alex Crouch – The Bridges to Reanimation.
Founder of Revival Research Group, Alex outlines the six bridges of cryostasis repair science, covering nanotech repair, AI orchestration, simulation, and bioprinting. His roadmap aims to make revival a transparent, collaborative goal.
Opening remarks by Neal Vanderee, officiator of the Church of Perpetual Life, connecting science, spirit, and future readiness.
Schedule:
As the world population is ageing rapidly, with over two billion people projected to be above the age of 60 by 2050, age-related brain disorders are on the rise. Living longer but in poor health is not only a daunting prospect, it also places a substantial burden on healthcare systems worldwide. The idea of being able to counteract the functional decline of our brain through rejuvenating interventions sounds therefore promising. The question is how can we identify compounds that have the potential to efficiently rejuvenate brain cells and to protect the ageing population from neurodegeneration? Prof. Antonio Del Sol and his teams of computational biologists, based both at the LCSB from the University of Luxembourg and at the CIC bioGUNE in Bilbao, used their machine learning expertise to tackle the challenge.
The researchers developed what is called an “ageing clock”, a computational tool designed to measure the biological age of cells, as opposed to their chronological age. Indeed, the organs and tissues of people of the same age can evolve differently over time depending on genetic and environmental factors, leading to different biological ages. These clocks are therefore useful tools to assess ageing at the molecular level and can help in understanding its causes and consequences.
The clock designed by the LCSB and CIC bioGune researchers is specific to the brain and uses gene expression information from 365 genes to make predictions. Using a machine learning approach, it was trained on data from healthy individuals, aged from 20 to 97, and could accurately predict their age. Further tests showed that the clock is able to estimate the biological age of different cell types in the brain, especially neurons. Lastly, by looking at the predicted biological ages for healthy individuals and for patients with neurological conditions, the researchers observed that patients exhibited a higher biological age.
“Our results tell us that the biological age of the brain cells calculated by our clock reflects the decline in brain function experienced by the patients, especially between 60 and 70, and is even correlated with the degree of neurodegeneration,” explains Dr Guillem Santamaria, first author of the study. “It supports the view of neurodegeneration as a form of accelerated ageing but, more importantly, the positive association between neurodegeneration and biological age suggests that the rejuvenating interventions identified by the clock could serve as neuroprotective agents.”
The aim of the researchers was to use the clock to find genetic or chemical interventions that would significantly shift back the biological age of brain cells. They explored the effect of thousands of compounds on neural progenitor cells and neurons and identified 453 unique rejuvenating interventions.
Among the identified compounds that have the potential to reverse the biological age of the two types of brain cells, several are known to extend lifespan in animal models and some are already used to treat neurological disorders, but the vast majority has not yet been studied in the context of health-or lifespan extension. “On the one hand, the fact that our computational platform identified drugs that have a known effect on brain function supports the idea that using the predicted effect of a compound on the biological age is an efficient way to evaluate its neuroprotective potential,” details Prof. Antonio Del Sol, head of the Computational Biology groups at the LCSB and CIC BioGUNE. “On the other, the results also highlight that our clock can help us find many new candidates that haven’t been studied before for their rejuvenating properties. It opens up a lot of new avenues.”
As a proof of concept of their approach, the researchers then tested three of the predicted compounds in mice, in collaboration with the team of Prof. Rubén Nogueiras at the Centre for Research in Molecular Medicine and Chronic Diseases. The administration of these drugs significantly reduced anxiety and slightly increased spatial memory in older mice, addressing two well-known symptoms associated with ageing. An analysis of gene expression showed that the combination of these compounds also led to a shift toward a younger phenotype. Altogether, these results show that a selection of compounds predicted to rejuvenate the brain did produce rejuvenation at the molecular level in the cortex of aged mice and had an impact on behavioural and cognitive functions.
Globally, the study, recently published in the journal Advanced Science, highlights the computational ageing clock developed by the researchers as a valuable resource for identifying brain-rejuvenating interventions with therapeutic potential in neurodegenerative diseases. It provides a strong foundation for further research. “The hundreds of compounds predicted by our platform require validation across multiple biological systems to assess their efficacy and safety, offering extensive opportunities for future therapeutic development,” concludes Prof. Antonio Del Sol.
Tesla’s Full Self-Driving technology is on the verge of a significant breakthrough, with potential approvals and expansions in multiple states and countries, paving the way for widespread adoption in robo-taxis and personal vehicles.
Questions to inspire discussion.
FSD and Robotaxi Progress.
🚗 Q: What is the most important catalyst for Tesla investors? A: Tesla’s Robo Taxi and FSD progress, with a 10x expansion in Austin area in 2 weeks, exponential increase in service area, and unsupervised FSD available for personal use in Texas and California by year-end.
Questions to inspire discussion.
Marketing and Promotion.
📣 Q: What marketing strategies should Tesla employ to promote FSD? A: Tesla should invest in advertising, highlighting the cost-effectiveness of their vehicles, and invite influencers and press for a special day to meet the AI team and spread the word about FSD.
Technical Advancements.
🧠 Q: What future improvements are planned for Tesla’s FSD? A: Tesla plans to expand FSD capabilities with 10x parameters in future iterations, making it an even more valuable feature and key brand differentiator.
Safety Benefits.
Over the past years, computer scientists have introduced increasingly sophisticated generative AI models that can produce personalized content following specific inputs or instructions. While image generation models are now widely used, many of them are unpredictable and precisely controlling the images they create remains a challenge.
In a recent paper presented at this year’s Conference on Computer Vision and Pattern Recognition (CVPR 2025), held in Nashville, June 11–15, researchers at NVIDIA introduced DiffusionRenderer, a new machine learning approach that could advance the generation and editing of images, allowing users to precisely adjust specific image attributes.
“Generative AI has made huge strides in visual creation, but it introduces an entirely new creative workflow that differs from classic graphics and still struggles with controllability,” Sanja Fidler, VP of AI Research at NVIDIA and head of the Spatial Intelligence lab, told Tech Xplore.
Long-term musical training may mitigate the age-related decline in speech perception by enhancing cognitive reserve, according to a study published in PLOS Biology by Claude Alain from the Baycrest Academy for Research and Education, Canada, and Yi Du from the Chinese Academy of Sciences.
Normal aging is typically associated with declines in sensory and cognitive functions. These age-related changes in perception and cognition are often accompanied by increased neural activity and functional connectivity—the statistical dependence of activity between different brain regions—in widely distributed neural networks.
The recruitment of neural activity and strengthening of functional connectivity are thought to reflect a compensatory strategy employed by older adults to maintain optimal cognitive performance.
AIs future may be limited not by chips, but by the power to run them. Eric Schmidt highlights how data centers fueling AI models are consuming record amounts of water and electricity, risking an environmental crisis. As big tech races toward superintelligence, the looming question is whether our energy grid can handle the load.