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As highlighted in a recent article, the release of ChatGPT in its various guises, along with numerous other generative AI-based technologies, has heralded a flurry of articles, studies, and headlines lauding the often catastrophic impact such technologies will have on jobs and society more broadly.

It’s the kind of simplistic and often doom-laden narrative that so often thrives on social media. As Greg Berman and Aubrey Fox remind us in their recent book Gradual, however, change seldom happens rapidly and almost never happens in such a linear fashion.

The study surveyed executives from 200 large companies and found that while most recognized the importance of new technologies, many were unrealistic about their ability to transform their businesses. The survey revealed that companies that took a more measured and realistic approach to technology adoption tended to be more successful.

Overall, these studies suggest that technological predictions are often overly optimistic and that many new technologies fail to meet their initial expectations.

Continue reading “We Need Caution When Predicting The Future Of Work” | >

OpenAI’s Chat GPT3 has advanced more rapidly than any application In the history of the internet. In just five days, it has surpassed one million users compared to Instagram taking 2.5 months, Facebook at 10 months and Netflix 3.5 years.

Microsoft is staking its future growth by optimizing its Bing search engine, with its own intelligent chat capabilities, based on large language model touted as more powerful that ChatGPT3.

Hedging its bet on generative AI, Microsoft has also made a major investment in OpenAI with a $10B investment.

This article discusses Microsoft Staking its Future on Generative AI and Chat bots.

Continue reading “Microsoft Is Staking Its Future On Generative AI” | >

I’ve got two questions for you that you’ve undoubtedly generically heard of before. Prepare yourself mentally. First, have we hit the wall? Second, does size matter? Both of those questions have deeply entered into the behind-the-scenes news about the latest in generative AI.

Generative AI is the type of Artificial Intelligence (AI) that can generate various outputs by the entry of text prompts. You’ve likely used or known about ChatGPT by AI maker OpenAI which allows you to enter a text prompt and get a generated essay in response, referred to as a text-to-text or text-to-essay style of generative AI, for my analysis of how this works see the link here.

A recent remark by the OpenAI CEO has brought to the fore an ongoing debate whether generative AI such as ChatGPT is nearing a wall and getting bigger won’t make a difference. Here’s the inside scoop on that hefty debate.

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The push for the smartest web browser is officially on. Just a month after Microsoft announced an AI-powered version of its search engine Bing, Google has announced it will be also be adding AI functionality to allow users to interact with it in more human ways. Right now, the substance of the announcement is all speculation. There is no known release date (yet) for its AI-powered engine, and no specific AI model has been chosen. Still, Google, which has invested billions on AI in just the past few years, is throwing its hat in the ring as a clear sign that the race for AI leadership is far from over. Its recent announcement merging its DeepMind and Brain divisions further reiterates that.

The addition of Generative AI capabilities to Google Search will be critical if Google intends to remain the top search engine globally. And while there are more questions than answers at this time, Google is going to be adding conversational to its search platform and it should be well received.

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Morphological study of open clusters can provide observational evidence for tracing the formation mechanism of star clusters and help to explore the evolution of star clusters.

The morphology of open clusters on the two-dimensional (2D) projection planes mostly conforms to the core-shell structure. However, whether this layered structure actually exists in three-dimensional (3D) space is not known.

Recently, researchers from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences proposed a rose diagram overlaying method based on Gaia data to study the 3D layered structure of open samples within 500 parsec (pc) near the sun.

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Israeli company Steakholder Foods has announced that it successfully 3D printed the first ready-to-cook cultivated grouper fish product.

Credit: Steakholder Foods.

The grouper is a species of fish that belongs to the subfamily Epinephelinae and is known for its large size and unique appearance. There are various species found in different parts of the world, including the Gulf of Mexico, the Caribbean, the Mediterranean, and the Indo-Pacific region.

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University of Alberta researchers have developed a new catalyst that could revolutionize how we generate power and purify water. When placed in any type of water and provided with a small amount of power, the catalyst produces hydrogen that can be fed into a fuel cell to generate electricity along with distilled water that is safe to drink.

The catalyst was discovered almost entirely by chance when Robin Hamilton was creating an electrode for an undergraduate student working on a waste biomass upcycling project. He mixed up a combination of powders and allowed them to sit overnight in water, intending to finish the cell the following day. When he returned in the morning, the mixture was bubbling—a reaction that was extremely out of the ordinary.

“It ends up being that when you mix these two things together, they interact, they work together and hydrogen comes off. It floored us,” says Hamilton, a senior research associate in the Department of Chemistry.

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