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Mar 5, 2024

AGI in 3 to 8 years

Posted by in categories: cyborgs, economics, employment, internet, robotics/AI, singularity

When will AI match and surpass human capability? In short, when will we have AGI, or artificial general intelligence… the kind of intelligence that should teach itself and grow itself to vastly larger intellect than an individual human?

According to Ben Goertzel, CEO of SingularityNet, that time is very close: only 3 to 8 years away. In this TechFirst, I chat with Ben as we approach the Beneficial AGI conference in Panama City, Panama.

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Feb 29, 2024

Bill Gates isn’t too scared about AI

Posted by in categories: education, employment, robotics/AI

Like Gates, Leslie doesn’t dismiss doomer scenarios outright. “Bad actors can take advantage of these technologies and cause catastrophic harms,” he says. “You don’t need to buy into superintelligence, apocalyptic robots, or AGI speculation to understand that.”

“But I agree that our immediate concerns should be in addressing the existing risks that derive from the rapid commercialization of generative AI,” says Leslie. “It serves a positive purpose to sort of zoom our lens in and say, ‘Okay, well, what are the immediate concerns?’”

In his post, Gates notes that AI is already a threat in many fundamental areas of society, from elections to education to employment. Of course, such concerns aren’t news. What Gates wants to tell us is that although these threats are serious, we’ve got this: “The best reason to believe that we can manage the risks is that we have done it before.”

Feb 28, 2024

Amazon to spend $1 billion on startups that combine AI with robots

Posted by in categories: employment, robotics/AI, transportation

The industrial innovation fund is seeking to invest in start-ups that can support the ecommerce group’s aims of becoming “more efficient, safer for our associates, and increase the speed of delivery to our customers.” Bossart said.

She said the Amazon fund would expand its focus this year, including by seeking to invest in companies involved in the “last mile” of deliveries, when packages arrive with customers, as well as geographically and in later-stage companies. However, Bossart would not be drawn on how much the fund has deployed so far, declining to comment on a report it has invested $110 million as of June.

The focus on the automation of warehouses and logistics was not about cutting people out of them altogether, but would result in a “shift in jobs” as more robots and automated vehicles took on repetitive or dangerous tasks, she said. “We’re also a long way off from replacing all humans,” she added.

Feb 26, 2024

Construction workers being replaced by AI robot bricklayers

Posted by in categories: employment, robotics/AI

Bricklaying robots are not looking to steal jobs but fill a labor shortage.

Imagine being a bricklayer.


How much does the bricklaying robot cost?

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Feb 23, 2024

Tyler Perry Puts $800M Studio Expansion on Hold After Seeing OpenAI’s Sora: “Jobs Are Going to Be Lost”

Posted by in categories: employment, government, life extension, robotics/AI

Called it. already impacting. not even a week later.


I just used AI in two films that are going to be announced soon. That kept me out of makeup for hours. In post and on set, I was able to use this AI technology to avoid ever having to sit through hours of aging makeup.

How are you thinking about approaching the threat that AI poses to certain job categories at your studio and on your productions?

Continue reading “Tyler Perry Puts $800M Studio Expansion on Hold After Seeing OpenAI’s Sora: ‘Jobs Are Going to Be Lost’” »

Feb 16, 2024

Students can soon major in AI at this Ivy League university—it’ll prepare them for ‘jobs that don’t yet exist’

Posted by in categories: employment, robotics/AI

As the use and development of artificial intelligence continues to grow, the University of Pennsylvania wants to train students to become leaders in the space.

Feb 16, 2024

Brain augmentation and neuroscience technologies: current applications, challenges, ethics and future prospects

Posted by in categories: biotech/medical, chemistry, employment, ethics, health, mathematics, neuroscience, robotics/AI

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.

Continue reading “Brain augmentation and neuroscience technologies: current applications, challenges, ethics and future prospects” »

Feb 12, 2024

How many robots can you see in this image? Disney sees two

Posted by in categories: employment, robotics/AI, space

In addition to movies and themeparks, Disney is now also operating in robotics space but taking a different approach from the rest.


Disney is challenging our very notion of what constitutes a robot and if they need to work alone at all times to be effective.

Continue reading “How many robots can you see in this image? Disney sees two” »

Feb 12, 2024

Google to Spend $26.9 Million on AI Training in Europe

Posted by in categories: employment, robotics/AI

Google’s philanthropy arm is setting aside millions of dollars for European nonprofits to train workers how to use AI. But it’s unclear whether AI training will help save jobs.

Feb 7, 2024

When Lab-Trained AI Meets the Real World, ‘Mistakes can Happen’

Posted by in categories: biotech/medical, employment, robotics/AI

Tissue contamination distracts AI models from making accurate real-world diagnoses. Human pathologists are extensively trained to detect when tissue samples from one patient mistakenly end up on another patient’s microscope slides (a problem known as tissue contamination). But such contamination can easily confuse artificial intelligence (AI) models, which are often trained in pristine, simulated environments, reports a new Northwestern Medicine study.

“We train AIs to tell ‘A’ versus ‘B’ in a very clean, artificial environment, but, in real life, the AI will see a variety of materials that it hasn’t trained on. When it does, mistakes can happen,” said corresponding author Dr. Jeffery Goldstein, director of perinatal pathology and an assistant professor of perinatal pathology and autopsy at Northwestern University Feinberg School of Medicine.

“Our findings serve as a reminder that AI that works incredibly well in the lab may fall on its face in the real world. Patients should continue to expect that a human expert is the final decider on diagnoses made on biopsies and other tissue samples. Pathologists fear — and AI companies hope — that the computers are coming for our jobs. Not yet.”

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