Experts say when it comes to supplements for antiaging, your winning formula will depend on your body. Top picks include vitamin D and magnesium.
This is the concept behind mind uploading – the idea that we may one day be able to transition a person from their biological body to a synthetic hardware. The idea originated in an intellectual movement called transhumanism and has several key advocates including computer scientist Ray Kurzweil, philosopher Nick Bostrom and neuroscientist Randal Koene.
The transhumanists’ central hope is to transcend the human condition through scientific and technological progress. They believe mind uploading may allow us to live as long as we want (but not necessarily forever). It might even let us improve ourselves, such as by having simulated brains that run faster and more efficiently than biological ones. It’s a techno-optimist’s dream for the future. But does it have any substance?
The feasibility of mind uploading rests on three core assumptions.
Not a cure all but it helps fight some cancer.
Lidocaine, a common local anesthetic, activates proteins that cause certain types of cancer cells to self-destruct.
The potential impact of generative AI on the economy, society, and work is polarizing, swinging from the positive benefits of a technological revolution to doomsday scenarios. The authors have come to think about this issue as points on a spectrum and have created a sports analogy to help think about it: AI tools can range from steroids, to sneakers, to a coach, each representing a different relationship between human users and the technology. Steroids elevate short-term performance, but leave you worse off in the long term. AI-powered tools can instead be used to augment people’s skills and make them more productive — much like a good running sneaker. On the most desirable end of the spectrum, AI-powered tools can be used like a coach that improves people’s own capabilities. This framework can be used to help conceptualize how we might craft AI-based tools that enhance rather than diminish human capabilities.
Page-utils class= article-utils—vertical hide-for-print data-js-target= page-utils data-id= tag: blogs.harvardbusiness.org, 2007/03/31:999.368607 data-title= A Sports Analogy for Understanding Different Ways to Use AI data-url=/2023/12/a-sports-analogy-for-understanding-different-ways-to-use-ai data-topic= AI and machine learning data-authors= Jake M. Hofman; Daniel G. Goldstein; David M. Rothschild data-content-type= Digital Article data-content-image=/resources/images/article_assets/2023/11/Nov23_22_200404124-001-383x215.jpg data-summary=
Will next-gen tools be used as a steroid, sneaker, or coach?
AI can’t transform your business overnight, he said.
OpenAI may be chasing after enterprise users, but some of its executives warn people not to expect the technology to change their businesses quickly.
Brad Lightcap warns that AI is still in its infancy and can’t bring back lost revenue yet.
The new spam detector was tested internally for a year.
Gmail is using a new text vectorizer, called RETVec, to significantly improve spam detection while reducing false positives and latency.
Meta’s chief scientist sees the current state of the AI industry as an “ongoing war”, claiming that NVIDIA’s CEO Jensen Huang is supplying the weapons for it.
Meta’s Chief Scientist Believes NVIDIA is Fueling “AI Developments” However, It is Far From Human-Level Intelligence
This coverage sort of gives a one-sided perspective of what professionals like Yann perceive about the AI industry, and his comments are fairly interesting, considering that he sees the current state of artificial intelligence as far from resembling “human” characteristics.
The app helps people who are blind or low vision scan documents and currency and can describe their surroundings.
Microsoft is expanding its Seeing AI app to Android, the company said Monday.
Artificial intelligence may never reach its full potential without a body to interact with the physical world. Roboticist Josh Bongard says that the push for “embodied AI” is suggesting a rethink of what it means to design intelligent robots.
By Edd Gent