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Despite its recent blowback, Web 3.0 offers a more interconnected and productive society.

The next significant development for the internet and all it governs is Web 3.0. To improve user experience, it will make use of artificial intelligence. In addition, blockchain technology will enable the service to be backed by decentralized networks since Web 3.0 is the fundamental framework for cryptocurrencies like Bitcoin and Ethereum. This will be a revolutionary move that might significantly influence businesses and how they function, as well as individual users. For instance, site owners won’t have to rely on larger businesses like Amazon (AWS) and Google to buy server space.


Web 2.0 – the current version of the internet – has grown overly centralized, with a small number of large technology businesses and government organizations controlling the industry. Web 3.0, which promises a decentralized online ecosystem built on the still-emerging blockchain, will be the third iteration of the internet. Web 3.0 was first coined in 2014 by a computer scientist named Gavin Wood also helped create Ethereum, the decentralized blockchain system that powers the ether coin.

The main problem with Web 2.0, according to Wood, is trusting the people who run the services. “We’ve managed to build ourselves into this fairly dystopian picture of what the world could be,” he said in a podcast with CNBC. This is why many believe Web 3.0 – with its focus on decentralization – will provide a more democratic and dispersed view of the internet. Additionally, it’s touted as an essential component of the emerging metaverse, an immersive online universe. While some are skeptical and refer to Web 3.0 and the metaverse as primarily a marketing project and even as a pyramid scheme, other venture investors are pouring billions of dollars into this futuristic vision. However, the idea is reportedly also opposed by many in the tech world, including Elon Musk and Jack Dorsey, the former CEO of Twitter.

For many Web 3.0 supporters, the past few months have brought a harsh awakening: the market prices of significant cryptocurrencies have fallen precipitously, the trading volume of non-fungible tokens (NFTs) has slowed, and, most importantly, some pioneer businesses in the field have filed for bankruptcy due to poor risk management and the misappropriation of investor funds. Nevertheless, many argue that business executives should not mistake market volatility or dishonest individuals with the potential applications of digital assets and the technology that support them, even while the debris keeps flying and many retail investors lose their savings.

Summary: Combining new wearable technology and artificial intelligence, researchers are better able to track motion and monitor the progression of movement disorders.

Source: Imperial College London.

A multi-disciplinary team of researchers has developed a way to monitor the progression of movement disorders using motion capture technology and AI.

Developing new AI is dangerous. But not doing it is even riskier.


We need more civic education on artificial intelligence, says Eileen Donahoe.

What’s more important to fight AI-enabled disinformation: policies or social norms?

Eileen Donahoe, executive director of Stanford University’s Global Digital Policy Incubator, believes we haven’t done enough on the cultural level and in terms of civic education.

But, should governments ban AI? She’s on the fence when asked during a Global Stage livestream conversation hosted by GZERO in partnership with Microsoft.

New York Senior Rabbi Josh Franklin, of the Jewish Center of the Hamptons, surprised his congregation earlier this week by delivering a sermon written entirely by Artificial Intelligence (AI.)

The rabbi used the ChatGPT chatbot, a free-to-access AI program launched in November of last year.

After reading the AI-written piece, Rabbi Franklin asked his congregation to guess who had written the sermon. In response, the congregation incorrectly guessed that Rabbi Jonathan Sacks had written the piece.

It seems Google is feeling the heat from OpenAI’s ChatGPT. The artificial intelligence-powered chatbot has taken the tech world by storm over the last couple months, as it can provide users with information they’re looking for in an easy-to-understand format. Google sees ChatGPT as a threat to its search business and has shifted plans accordingly over the last several weeks, according to The New York Times.

The report claims CEO Sundar Pichai has declared a “code red” and accelerated AI development. Google is reportedly preparing to show off at least 20 AI-powered products and a chatbot for its search engine this year, with at least some set to debut at its I/O conference in May.

According to a slide deck viewed by the Times, among the AI projects Google is working on are an image generation tool, an upgraded version of AI Test Kitchen (an app used to test prototypes), a TikTok-style green screen mode for YouTube and a tool that can generate videos to summarize other clips. Also in the pipeline are a feature titled Shopping Try-on (perhaps akin to one Amazon has been developing), a wallpaper creator for Pixel phones and AI-driven tools that could make it easier for developers to create Android apps.

This video covers the world in a billion years and its future technologies. Watch this next video about the world in a million years: https://bit.ly/3xe50by.
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SOURCES:
• The Future of Humanity (Michio Kaku): https://amzn.to/3Gz8ffA
• The Singularity Is Near: When Humans Transcend Biology (Ray Kurzweil): https://amzn.to/3ftOhXI

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Scientists at the University of California, San Francisco (UCSF) and IBM Research have created a virtual library of thousands of “command sentences” for cells using machine learning. These “sentences” are based on combinations of “words” that direct engineered immune cells to find and continuously eliminate cancer cells.

This research, which was recently published in the journal Science, is the first time that advanced computational techniques have been applied to a field that has traditionally progressed through trial-and-error experimentation and the use of pre-existing molecules rather than synthetic ones to engineer cells.

The advance allows scientists to predict which elements – natural or synthesized – they should include in a cell to give it the precise behaviors required to respond effectively to complex diseases.