Lifeboat Foundation: Safeguarding Humanity
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Category: employment – Page 11

A new generative artificial intelligence startup called Cognition AI Inc. is looking to disrupt coding with the launch of a new tool that can autonomously create code for entire engineering jobs, including its own AI models.

That tool’s name is Devin, and it takes the premise of GitHub Inc.’s and Microsoft Corp.’s Copilot developer tool much further, as it can carry out entire jobs on its own, rather than simply assist a human coder.

In a video (below) attached to a blog post announcing Devin, Cognition Chief Executive Scott Wu demonstrates how users can view the model in action. They can see its command line, code editor and workflow as it goes step-by-step, completing comprehensive coding projects and data research tasks assigned to it.

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Artificial Intelligence (AI) and Deep Learning, with a focus on Natural Language Processing (NLP), have seen substantial changes in the last few years. The area has advanced quickly in both theoretical development and practical applications, from the early days of Recurrent Neural Networks (RNNs) to the current dominance of Transformer models.

Models that are capable of processing and producing natural language with efficiency have advanced significantly as a result of research and development in the field of neural networks, particularly with regard to managing sequences. RNN’s innate ability to process sequential data makes them well-suited for tasks involving sequences, such as time-series data, text, and speech. Though RNNs are ideally suited for these kinds of jobs, there are still problems with scalability and training complexity, particularly with lengthy sequences.

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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.

We discuss the diverse possibilities of human and post-human existence, from cyborg enhancements to digital mind uploads, and the varying timelines for when we might achieve AGI. We talk about the role of current AI technologies, like LLMs, and how they fit into the path towards AGI, highlighting the importance of combining multiple AI methods to mirror human intelligence complexity.

We also explore the societal and ethical implications of AGI development, including job obsolescence, data privacy, and the potential geopolitical ramifications, emphasizing the critical period of transition towards a post-singularity world where AI could significantly improve human life. Finally, we talk about ownership and decentralization of AI, comparing it to the internet’s evolution, and envisages the role of humans in a world where AI surpasses human intelligence.

00:00 Introduction to the Future of AI
01:28 Predicting the Timeline of Artificial General Intelligence.
02:06 The Role of LLMs in the Path to AGI
05:23 The Impact of AI on Jobs and Economy.
06:43 The Future of AI Development.
10:35 The Role of Humans in a World with AGI
35:10 The Diverse Future of Human and Post-Human Minds.
36:51 The Challenges of Transitioning to a World with AGI
39:34 Conclusion: The Future of AGI.

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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.”

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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.

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

Imagine being a bricklayer.

How much does the bricklaying robot cost?

Monumental’s robots are much more affordable than conventional ones, costing only $25,000 per unit. But Monumental does not sell its robots; it sells its brick-laying services. It charges by the brick, just like human masons in Europe, and at a similar rate.

It also provides a human mason to supervise the robots and handle the tasks they cannot do. However, Monumental’s bricklaying robots can work faster than humans by forming swarms, which is not feasible with the human labor shortage.

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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?

Everything right now is so up in the air. It’s so malleable. The technology’s moving so quickly. I feel like everybody in the industry is running a hundred miles an hour to try and catch up, to try and put in guardrails and to try and put in safety belts to keep livelihoods afloat. But me, just like every other studio in town, we’re all trying to figure it all out. I think we’re all trying to find the answers as we go, and it’s changing every day — and it’s not just our industry, but it’s every industry that AI will be affecting, from accountants to architects. If you look at it across the world, how it’s changing so quickly, I’m hoping that there’s a whole government approach to help everyone be able to sustain, is my hope.

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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.

Humans have striven to increase their mental capacities since ancient times. From symbolic language, writing and the printing press to mathematics, calculators and computers, mankind has devised and employed tools to record, store, and exchange thoughts and to enhance cognition. Revolutionary changes are occurring in the health care delivery system as a result of the accelerating speed of innovation and increased employment of technology to suit society’s evolving health care needs (Sullivan and Hagen, 2002). The aim of researchers working on cognitive enhancement is to understand the neurobiological and psychological mechanisms underlying cognitive capacities while theorists are rather interested in their social and ethical implications (Dresler et al., 2019; Oxley et al., 2021).

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