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China trounces U.S. in AI research output and quality

TOKYO/BEIJING — China is the undisputed champion in artificial intelligence research papers, a Nikkei study shows, far surpassing the U.S. in both quantity and quality.

Tencent Holdings, Alibaba Group Holding and Huawei Technologies are among the top 10 companies producing AI research, according to the study. The Chinese contingent is steadily gaining representation in an area dominated by U.S. players.

02002–02029 (27 years): By 2029 no computer — or “machine intelligence” — will have passed the Turing Test

The essence of the Turing Test revolves around whether a computer can successfully impersonate a human. The test is to be put into practice under a set of detailed conditions which rely on human judges being connected with test subjects (a computer and a person) solely via an instant messaging system or its equivalent. That is, the only information which will pass between the parties is text.

To pass the test, a computer would have to be capable of communicating via this medium at least as competently as a person. There is no restriction on the subject matter; anything within the scope of human experience in reality or imagination is fair game. This is a very broad canvas encompassing all of the possibilities of discussion about art, science, personal history, and social relationships. Exploring linkages between the realms is also fair game, allowing for unusual but illustrative analogies and metaphors. It is such a broad canvas, in my view, that it is impossible to foresee when, or even if, a machine intelligence will be able to paint a picture which can fool a human judge.

While it is possible to imagine a machine obtaining a perfect score on the SAT or winning Jeopardy—since these rely on retained facts and the ability to recall them—it seems far less possible that a machine can weave things together in new ways or to have true imagination in a way that matches everything people can do, especially if we have a full appreciation of the creativity people are capable of. This is often overlooked by those computer scientists who correctly point out that it is not impossible for computers to demonstrate creativity. Not impossible, yes. Likely enough to warrant belief in a computer can pass the Turing Test? In my opinion, no. Computers look relatively smarter in theory when those making the estimate judge people to be dumber and more limited than they are.

Fantasy Lost: Artificial Intelligence “humanizes” Computer Performance

Experience the beauty of AI-generated creativity with “Fantasy Lost,” an original composition by Raymond Miller. Witness the power of Artificial Intelligence as it “humanizes” the performance, bringing a unique and compelling twist. Accompanied by artwork of beautiful Tolkienesque elven women rendered by Stable Diffusion 2.1 and a helpful scrolling score and lighted keyboard for anyone who wishes to play the piece, this video is a short jaunt through an otherworldly musical and visual odyssey. Join us at Creative AI channel and explore the endless possibilities of AI in art and music.

Cyberdyne build robots and exoskeletons — BBC Click

HAL [Hybrid Assistive Limb] is the world’s first technology that improves, supports, enhances and regenerates the wearer’s physical functions. Made by Cyberdyne 2018.

In this video a woman in a wheelchair since childhood because of polio walks again.


Click visits the Cyberdyne company in Japan, who are manufacturing HAL (Hybrid Assisted Limb) exoskeleton’s.

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ChatGPT: what can the extraordinary artificial intelligence chatbot do?

Since its launch in November last year, ChatGPT has become an extraordinary hit. Essentially a souped-up chatbot, the AI program can churn out answers to the biggest and smallest questions in life, and draw up college essays, fictional stories, haikus, and even job application letters. It does this by drawing on what it has gleaned from a staggering amount of text on the internet, with careful guidance from human experts. Ask ChatGPT a question, as millions have in recent weeks, and it will do its best to respond – unless it knows it cannot. The answers are confident and fluently written, even if they are sometimes spectacularly wrong.

The program is the latest to emerge from OpenAI, a research laboratory in California, and is based on an earlier AI from the outfit, called GPT-3. Known in the field as a large language model or LLM, the AI is fed hundreds of billions of words in the form of books, conversations and web articles, from which it builds a model, based on statistical probability, of the words and sentences that tend to follow whatever text came before. It is a bit like predictive text on a mobile phone, but scaled up massively, allowing it to produce entire responses instead of single words.

Bill Gates reveals the next big thing in tech, and it’s not metaverse

Did Mark bet his Zuckbucks on the wrong horse?

Artificial Intelligence or AI is the next big tech shift that users can expect in the coming years, Microsoft co-founder Bill Gates recently said while interacting with a Reddit user last week. Gates thinks that metaverse and Web3 are revolutionary but not quite as much as AI.

Gates’ comments come at a time when Facebook founder Mark Zuckerberg appears to have splurged his riches on chasing a pipe dream with the concept of a digital universe where everybody logs in to connect, work, and play is not catching any traction anymore.

On the other hand, ChatGPT, a chatbot from OpenAI, has caught everybody’s attention.


Michael Loccisano/Getty.

Russian hackers are using ChatGPT to write malicious pieces of code

This can help them steal your personal data and much more.

Hackers in Russia are not just keen on leveraging ChatGPT to write pieces of malicious code but have also succeeded in bypassing the geofencing meant to keep them away from the platform, Business Insider.

ChatGPT, the chatbot launched by OpenAI to demonstrate the advances made in artificial intelligence (AI) research, has become famous thanks to its conversational tone of interacting with the user. However, dig a little deeper, and the bot can help you write college essays, poems for a loved one, and even short stories to tingle your imagination.

The 10 Scariest Future Tech Trends Everyone Must Know About Right Now

There is some incredible emerging tech on the horizon for 2023, but there are also some dangerous and worrying advances that should be on your radar. This emerging tech could have huge implications for the human race.

After all, we applaud scientific progress, but it’s important for us to monitor how some of these technologies are being used. Some breakthroughs can easily be abused or used in dangerous or scary ways.

Let’s take a look at the scariest tech trends everyone should know about today.

1. AI Singularity.

In many aspects, artificial intelligence is becoming capable of human-level thinking.


Is technology in the news keeping you awake at night? Should it be? Here are some of the scariest future tech trends that should be on your radar.

AI art tools Stable Diffusion and Midjourney targeted with copyright lawsuit

The suit claims generative AI art tools violate copyright law by scraping artists’ work from the web without their consent.

A trio of artists have launched a lawsuit against Stability AI and Midjourney, creators of AI art generators Stable Diffusion and Midjourney, and artist portfolio platform DeviantArt, which recently created its own AI art generator, DreamUp.

The artists — Sarah Andersen, Kelly McKernan, and Karla Ortiz — allege that these organizations have infringed the rights of “millions of artists” by training their AI tools on five billion images scraped from the web “with­out the con­sent of the orig­i­nal artists.”


AI art gets its first major copyright lawsuit.

Google’s Muse model could be the next big thing for generative AI

Check out all the on-demand sessions from the Intelligent Security Summit here.

2022 was a great year for generative AI, with the release of models such as DALL-E 2, Stable Diffusion, Imagen, and Parti. And 2023 seems to follow on that path as Google introduced its latest text-to-image model, Muse, earlier this month.

Like other text-to-image models, Muse is a deep neural network that takes a text prompt as input and generates an image that fits the description. However, what sets Muse apart from its predecessors is its efficiency and accuracy. By building on the experience of previous work in the field and adding new techniques, the researchers at Google have managed to create a generative model that requires less computational resources and makes progress on some of the problems that other generative models suffer from.

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