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* All-In Podcast: E166: Mind-blowing AI Video: OpenAI launches Sora, Biden too old? more * AI Explained: Sora – Full Analysis (with new details) * AI Explained: Gemini 1.5 and The Biggest Night in AI – YouTube.

* V-JEPA: The next step toward advanced machine intelligence * Marc Raibert: Boston Dynamics and the Future of Robotics | Lex Fridman Podcast #412 * Two Minute Papers: OpenAI Sora: The Age Of AI Is Here!

* David Shapiro: AGI in 7 Months! Gemini, Sora, Optimus, & Agents – It’s about to get REAL WEIRD out there! * Cube: 47. Zuck and Hock, MWC Preview, the Battle for Enterprise AI * Elon Musk on X: What matters w Powerwall 3 is that it can handle peak power of ~30kW, which is enough to handle dryers and air-conditioners.

Apple is working on a new feature for its Xcode development environment that could make coding a breeze for developers. The feature, reportedly similar to Microsoft’s GitHub Copilot, will use artificial intelligence to suggest and complete blocks of code in real time.

Generative AI for Xcode

According to Bloomberg, Apple is also looking into using AI to generate code for testing applications, which can be a time-consuming and tedious task for developers. The company is testing the new tools internally before launching them to the public, possibly later this year.

https://music.youtube.com/watch?v=n_LefGJgOJ8&si=UoInnL8Xy_wsXv_

Currently listening to this. He’s pretty decent, up there with Dr Daniel Amen in advancement/ideas. I barely started this episode but it seems AI can help in medicine and there’s more in this podcast concerning our personal health. This is some key issues for longevity.


Get my FREE guide 3 Steps to Reverse Aging when you sign up for my weekly health picks 👉 https://bit.ly/IncreaseHealthspan.

View the Show Notes For This Episode: https://bit.ly/ep-855

This isn’t rocket science it’s neuroscience.


Ever since the dawn of antiquity, people have strived to improve their cognitive abilities. From the advent of the wheel to the development of artificial intelligence, technology has had a profound leverage on civilization. Cognitive enhancement or augmentation of brain functions has become a trending topic both in academic and public debates in improving physical and mental abilities. The last years have seen a plethora of suggestions for boosting cognitive functions and biochemical, physical, and behavioral strategies are being explored in the field of cognitive enhancement. Despite expansion of behavioral and biochemical approaches, various physical strategies are known to boost mental abilities in diseased and healthy individuals. Clinical applications of neuroscience technologies offer alternatives to pharmaceutical approaches and devices for diseases that have been fatal, so far. Importantly, the distinctive aspect of these technologies, which shapes their existing and anticipated participation in brain augmentations, is used to compare and contrast them. As a preview of the next two decades of progress in brain augmentation, this article presents a plausible estimation of the many neuroscience technologies, their virtues, demerits, and applications. The review also focuses on the ethical implications and challenges linked to modern neuroscientific technology. There are times when it looks as if ethics discussions are more concerned with the hypothetical than with the factual. We conclude by providing recommendations for potential future studies and development areas, taking into account future advancements in neuroscience innovation for brain enhancement, analyzing historical patterns, considering neuroethics and looking at other related forecasts.

Keywords: brain 2025, brain machine interface, deep brain stimulation, ethics, non-invasive and invasive brain stimulation.

Humans have striven to increase their mental capacities since ancient times. From symbolic language, writing and the printing press to mathematics, calculators and computers, mankind has devised and employed tools to record, store, and exchange thoughts and to enhance cognition. Revolutionary changes are occurring in the health care delivery system as a result of the accelerating speed of innovation and increased employment of technology to suit society’s evolving health care needs (Sullivan and Hagen, 2002). The aim of researchers working on cognitive enhancement is to understand the neurobiological and psychological mechanisms underlying cognitive capacities while theorists are rather interested in their social and ethical implications (Dresler et al., 2019; Oxley et al., 2021).

Researchers at the University of Pennsylvania have developed a new computer chip that uses light instead of electricity. This could improve the training of artificial intelligence (AI) models by improving the speed of data transfer and, more efficiently, reducing the amount of electricity consumed.

Humanity is building the exascale supercomputers today that can carry out a quintillion computations per second. While the scale of the computation may have increased, computing technology is still working on the principles that were first used in the 1960s.

Researchers have been working on developing computing systems based on quantum mechanics, too, but these computers are at least a few years from becoming widely available if not more. The recent explosion of AI models in technology has resulted in a demand for computers that can process large sets of information. The inefficient computing systems, though, result in high consumption of energy.