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Streamer Brings Deepfake Youtubers on Twitch for Next-Level Entertainment

Deepfake technology has been around for some time, and it’s currently causing controversies for the potential threats it may bring when fallen into the wrong hands. Even India’s business tycoon Anand Mahindra sparked alarm over hyper-realistic synthetic videos.

But some personalities are redefining the way viewers perceive deepfakes. For instance, David Guetta recently synthesized Eminem’s voice to hype up an event. And it’s only one of the many examples of people using artificial intelligence (AI) for entertainment. In fact, it already came to different social media websites like Twitch that take streaming to the next level.

Bachir Boumaaza is a Youtuber who once made a name for his record-breaking games, which he used to help numerous charities. But he became inactive, with most of his fans wondering where he went, thinking it might’ve been the end of his career.

ChatGPT is about to get even better and Microsoft’s Bing could win big

Google worked to reassure investors and analysts on Thursday during its quarterly earnings call that it’s still a leader in developing AI. The company’s Q4 2022 results were highly anticipated as investors and the tech industry awaited Google’s response to the popularity of OpenAI’s ChatGPT, which has the potential to threaten its core business.

During the call, Google CEO Sundar Pichai talked about the company’s plans to make AI-based large language models (LLMs) like LaMDA available in the coming weeks and months. Pichai said users will soon be able to use large language models as a companion to search. An LLM, like ChatGPT, is a deep learning algorithm that can recognize, summarize and generate text and other content based on knowledge from enormous amounts of text data. Pichai said the models that users will soon be able to use are particularly good for composing, constructing and summarizing.

“Now that we can integrate more direct LLM-type experiences in Search, I think it will help us expand and serve new types of use cases, generative use cases,” Pichai said. “And so, I think I see this as a chance to rethink and reimagine and drive Search to solve more use cases for our users as well. It’s early days, but you will see us be bold, put things out, get feedback and iterate and make things better.”

Pichai’s comments about the possible ChatGPT rival come as a report revealed this week that Microsoft is working to incorporate a faster version of ChatGPT, known as GPT-4, into Bing, in a move that would make its search engine, which today has only a sliver of search market share, more competitive with Google. The popularity of ChatGPT has seen Google reportedly turning to co-founders Larry Page and Sergey Brin for help in combating the potential threat. The New York Times recently reported that Page and Brin had several meetings with executives to strategize about the company’s AI plans.

During the call, Pichai warned investors and analysts that the technology will need to scale slowly and that he sees large language usage as still being in its “early days.” He also said that the company is developing AI with a deep sense of responsibility and that it’s going to be careful when launching AI-based products, as the company plans to initially launch beta features and then slowly scale up from there.

He went on to note that Google will provide new tools and APIs for developers, creators and partners to empower them to build their own applications and discover new possibilities with AI.

We’ve torn down over 100 cars (Here are Tesla advantages) | Cory Steuben Munro and Associates

The Tesla transformation to a fully integrated design.


Join me and Cory Steuben as he reviews all the different ways Tesla has an advantage over their competitors from manufacturing, the factories, the business model and the team.

Between, Cory, Sandy and the other associates at Munro & Associates they are likely the best in the planet who knows the most about how different cars are made and about the auto industry and the competition in the auto industry.

Cory is the President of Munro & Associates who is the de facto leader in reverse engineering and teardown benchmarking. They tear down all sorts of cars and they know every single part and every single price, the supply chain and what it takes to manufacture these parts.

Cory Steuben on Twitter:@corysteuben.

What Does ChatGPT Really Mean For Businesses?

If your work involves analyzing and reporting on data, then it’s understandable that you might feel a bit concerned by the rapid advances being made by artificial intelligence (AI). In particular, the viral ChatGPT app has captured the imagination of the general public in recent months, acting as a powerful demonstration of what AI is already capable of. For some, it may also seem like a warning about what might be in store for the future.

Undoubtedly, one of the strengths of AI is its ability to make sense of large amounts of data – searching out patterns and putting it into reports, documents, and formats that humans can easily understand. This is the day-to-day “bread and butter” of data analysts as well as many other knowledge economy professionals whose work involves working with data and analytics.

It’s true that artificial intelligence – a term that generally, in business and industry, refers to machine learning – has been used for years in these fields. What ChatGPT and similar tools built on large language models (LLM) and natural language processing (NLP) bring to the table is that it can be easily and effectively used by anybody. If a CEO can simply say to a computer, “what do I need to do to improve customer satisfaction?” or “how can I make more sales?” do they need to worry about hiring, training, and maintaining an expensive analytics team to answer those questions?

Well, fortunately, the answer probably, is yes. In fact, as AI becomes more accessible and mainstream, that team may well become even more critical to the business than it already is. What is beyond doubt, though, is that their jobs will substantially change. So, here’s my rundown of how this technology may affect the field of data and analytics as it becomes mainstream in the near future.

Firstly, what are ChatGPT, LLMs, and NLP?

ChatGPT is a publicly-available conversational (or chatbot) interface powered by a LLM called GPT-3, developed by the research institute OpenAI. The LLM (Large Language Model) is part of a field of machine learning known as natural language processing, which essentially means that it enables us to talk to machines, and for them to reply to us in “natural” (i.e., human) languages. In short, this means that we can ask it a question in English, or in fact, one of almost 100 languages. It can also read, understand and generate computer code in a number of popular programming languages, including Python, Javascript, and C++. We’ve gotten used to interacting with NLP technology for some time now thanks largely to AI assistants like Alexa and Siri, but the LLM powering GPT-3 and ChatGPT is orders of magnitude larger, enabling it to understand far more complex inputs and provide far more sophisticated outputs.

Are Holograms the Next Zoom?

Proto is betting that companies will view their 7-foot-tall holographic projection boxes as an alternative for in-person meetings. At least a half-dozen startups and giants like Google and Microsoft already are.

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U.S. Accused Of Trying To ‘Quietly’ Ban Bitcoin, Ethereum And Crypto

Last month, the Federal Reserve rejected crypto bank Custodia’s application to join its ranks, casting doubt over whether the Office of the Comptroller of the Currency will give final approval to crypto companies Protego and Paxos’ applications for national trust bank charters.

“The U.S. government is using the banking sector to organize a sophisticated, widespread crackdown against the crypto industry,” Carter wrote.

“And the administration’s efforts are no secret: they’re expressed plainly in memos, regulatory guidance, and blog posts. However, the breadth of this plan—spanning virtually every financial regulator—as well as its highly coordinated nature, has even the most steely-eyed crypto veterans nervous that crypto businesses might end up completely unbanked, stablecoins may be stranded and unable to manage flows in and out of crypto, and exchanges might be shut off from the banking system entirely.”

The Next Generation Of Artificial Intelligence (Part 2)

In case you haven’t heard, artificial intelligence is the hot new thing.


If anything, this breakneck pace is only accelerating. Five years from now, the field of AI will look very different than it does today. Methods that are currently considered cutting-edge will have become outdated; methods that today are nascent or on the fringes will be mainstream.

What will the next generation of artificial intelligence look like? Which novel AI approaches will unlock currently unimaginable possibilities in technology and business?

My previous column covered three emerging areas within AI that are poised to redefine the field—and society—in the years ahead. This article will cover three more.

Top 10 Open-Source Programming Languages You Should Know in 2023

The advancement in technology has resulted in organizations relying on programming languages like never before. With programming in place, organizations are in a position to achieve their business goals way easier than before. If you are aspiring to become a good programmer then it is important to have a fair understanding as to which are the most in demand programming languages in the market. In this article, we will talk about top 10 open-source programming languages you should know in 2023.

Python

Python is a server-side language that has a wide range of applications to boast about. Be it simple scripting or advanced web applications, Python has got you covered. Python has made it way easier for the developers to use various programming styles including reflecting, functional, etc. It is considered one of the easiest and most marketable programming languages to learn.

AI image generator hit by $1.8 trillion lawsuit from Getty Images

Getty Images, a global stock photo giant, has filed a lawsuit against Stability AI, the business that created the well-known AI image generator Stable Diffusion.

The stock agency claims that over 12 million of its copyrighted images—along with their descriptions and metadata were used to train Stable Diffusion, seeking $1.8 trillion in compensation, according to the lawsuit made public on Monday.

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