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Warren Buffett has touted AI’s potential but warned it could be disruptive and dangerous. Here are his 7 best quotes about the budding technology

Warren Buffett has hailed artificial intelligence as a potential game-changer, but warned it could be disruptive, divisive, and dangerous.

AI promises to replace workers and harness new types of knowledge, generating lots of value and giving people more leisure time, the famed investor and Berkshire Hathaway CEO has said in interviews and during shareholders meetings in recent years, according to CNBC’s Warren Buffett Archive.

However, the nascent technology could also cause massive upheaval if it causes huge numbers of job losses, and could do enormous damage to the world if it’s used for the wrong reasons, Buffett cautioned.

ChatGPT creator says AI advocates are fooling themselves if they think the technology is only going to be good for workers: ‘Jobs are definitely going to go away’

Generative artificial intelligence technology such as ChatGPT could boost productivity for many workers in the years ahead. But some people are likely to lose their jobs in the process.

That’s according to Sam Altman, the CEO of OpenAI, the company behind ChatGPT. Altman said in June that AI’s development could provide the “most tremendous leap forward” for people’s quality of life. But he also said in March it’d be “crazy not to be a little afraid of AI” and its potential to create” disinformation problems or economic shocks.”

DeepMind’s New AI made a Breakthrough in Computer Science!

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Mentioned Videos:
AI designing Computer Chips: https://youtu.be/NeHgMaIkPuY
Deepmind AI made a Breakthrough in Math: https://youtu.be/DU6WINoehrg.

Deepmind Paper “Faster sorting algorithms discovered using deep reinforcement learning”:
https://www.nature.com/articles/s41586-023-06004-9

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AI predicts multiple sclerosis & flags contaminated samples

A new artificial intelligence model can predict people’s risk of multiple sclerosis years before diagnosis, potentially enabling quicker treatment, according to research revealed at the 2023 AACC Annual Scientific Meeting & Clinical Lab Expo. Another breaking study demonstrates how machine learning can help detect lab samples contaminated with intravenous fluids—a finding that could reduce lab errors that delay diagnosis and raise healthcare costs.

Taken together, the results highlight key advances in the use of artificial intelligence and machine learning to improve patient care.

AI model harnesses patient data to predict multiple sclerosis risk.

AI Unlocks Olive Oil’s Potential in Alzheimer’s Battle

This is a good use of AI. Definitely regular it but I can see it’s contributing to medical research.

Summary: Researchers have utilized artificial intelligence to uncover the promising potential of extra virgin olive oil (EVOO) in combating Alzheimer’s disease (AD).

By integrating AI, chemistry, and omics research, the study identified specific bioactive compounds in EVOO that could contribute to the treatment and prevention of AD. Ten phytochemicals within EVOO, such as quercetin, genistein, luteolin, and kaempferol, were found to exhibit potential impacts on AD protein networks.

The study adds to the growing evidence for the neuroprotective effects of a Mediterranean diet, rich in EVOO, in mitigating dementia and cognitive decline.

ChatGPT Is Replacing Humans in Studies on Human Behavior—and It Works Surprisingly Well

The show provides a glimpse into humanity’s astonishing diversity. Social scientists have a similar goal—understanding the behavior of different people, groups, and cultures—but use a variety of methods in controlled situations. For both, the stars of these pursuits are the subjects: humans.

But what if you replaced humans with AI chatbots?

The idea sounds preposterous. Yet thanks to the advent of ChatGPT and other large language models (LLMs), social scientists are flirting with the idea of using these tools to rapidly construct diverse groups of “simulated humans” and run experiments to probe their behavior and values as a proxy to their biological counterparts.

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