Lifeboat Foundation

Yay 😗😁😘 Year 2021

Google makes AI that is considered to be a threat to mankind.

Perhaps not surprisingly, the AI was the most helpful for the least-skilled workers and those who had been with the company for the shortest time. Meanwhile, the highest-skilled and most experienced agents didn’t benefit much from using the AI. This makes sense, since the tool was trained on conversations from these workers; they already know what they’re doing.

“High-skilled workers may have less to gain from AI assistance precisely because AI recommendations capture the knowledge embodied in their own behaviors,” said study author Erik Brynjolfsson, director of the Stanford Digital Economy Lab.

The AI enabled employees with only two months of experience to perform as well as those who’d been in their roles for six months. That’s some serious skill acceleration. But is it “cheating”? Are the employees using the AI skipping over valuable first-hand training, missing out on learning by doing? Would their skills grind to a halt if the AI were taken away, since they’ve been repeating its suggestions rather than thinking through responses on their own?

Is there anything ChatGPT can’t do? Yes, of course, but the list appears to be getting smaller and smaller. Now, researchers have used the large language model to help them design and construct a tomato-picking robot.

Large language models (LLMs) can process and internalize huge amounts of text data, using this information to answer questions. OpenAI’s ChatGPT is one such LLM.

In a new case study, researchers from the Delft University of Technology in the Netherlands and the Swiss Federal Institute of Technology (EPFL) enlisted the help of ChatGPT-3 to design and construct a robot, which might seem strange considering that ChatGPT is a language model.

Apple’s new Vision Pro headset can scan a user’s face and use advanced machine learning to create a photorealistic “Persona” of them for video calls. And in a future visionOS update, these avatars will become even more realistic.

Imagine building a billion-dollar company that competes with the biggest companies in the industry, and doing it with a modest 3 person team powered by AI.

We’re living through a time of rapid change and endless possibilities and opportunities, what are you going to do about it?

Continue reading “THE BIG RESET: Use AI To Build Wealth & GET AHEAD Of 99% Of People with Peter Diamandis & Salim Ismail” »

The Honda Riding Assist is an electric vehicle that has a low center-of-gravity and a very low seat height. In a global debut at CES, Honda unveiled the Honda Riding Assist motorcycle, which leverages our robotics technology to create a self-balancing motorcycle that greatly reduces the possibility of failing over while the motorcycle is at rest.

source/image: Alpha SQUAD official.

The current education landscape requires close collaboration between edtech and AI developers to leverage their expertise and maximize the impact of AI technology in the sector. It also aims to avoid the negative consequences of redundant efforts, wasted resources and less effective solutions. By effectively applying best practices such as clear communication, alignment of goals, and interdisciplinary collaboration, edtech and AI developers can develop innovative, scalable and effective solutions. The “AI and the Future of Learning: Expert Panel Report” underscores key strategies for successful collaboration between edtech and AI developers. The report highlights key strengths and weaknesses of AI as well as the respective opportunities and barriers to employing AI technologies in the education sector.

Education plays a critical role in promoting social and economic development in a region, and when communities recognize its potential, they are more likely to support educational reforms. These reforms can address any challenges in the sector, such as funding constraints, lack of access to quality education and cultural attitudes that may deny education to particular groups. With the increased adoption of AI in the education sector, potential future developments—including ITS, adaptive assessment, gamification and the use of machine learning—can promote the efficiency of personalized learning.

In the long run, the collaboration between edtech and AI developers holds great potential for transforming education and improving learning outcomes. For this to happen, it is necessary to establish industry standards for AI in education, foster interdisciplinary collaboration between educators and AI experts, and invest in research on AI’s impact on learning outcomes. In this way, we can ensure that AI-powered tools are used effectively and ethically to improve student learning in the 21st century.

Former Google engineer and esteemed futurist Ray Kurzweil has made another bold prediction: Immortality is within reach for humans by 2030, thanks to the help of nanorobots. You read that right — humans could potentially live forever, according to Kurzweil.

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Kurzweil, who has a track record of accurate predictions such as foreseeing a computer beating humans in chess by 2000, shared his prediction in a recent YouTube series by tech vlogger Adagio. The 75-year-old computer scientist believes that advancements in genetics, robotics and nanotechnology will allow tiny robots to run through veins, repairing any damage and keeping people alive indefinitely.

Imagine, if you will, a digital doppelgänger. A clone that looks, talks and behaves just like you, created from the depths of artificial intelligence, reflecting your every mannerism with eerie precision. As thrilling as it might sound, how would you feel about it?

Our research at the University of British Columbia turns the spotlight onto this very question. With advancements in deep-learning technologies such as interactive deepfake applications, voice conversion and virtual actors, it’s possible to digitally replicate an individual’s appearance and behavior.

This mirror image of an individual created by artificial intelligence is referred to as an “AI clone.” Our study dives into the murky waters of what these AI clones could mean for our self-perception, relationships and society. In our paper published as part of the Proceedings of the ACM on Human-Computer Interaction, we identified three types of risks posed by AI replicas: doppelgänger-phobia, identity fragmentation and living memories.