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TikTok upcoming AI-driven feature can clone your voice.

TheSpAndroid claims that TikTok is creating a cutting-edge artificial intelligence (AI) function that will translate text to speech.
AssembleDebug, who was able to activate certain functions after discovering the code in the most recent version of the TikTok app for Android, made the knowledge public.
A TikTok voice library and the ability to create your voice using AI were alluded to in the code.

Decoding TikTok’s AI voice creation process

The introductory screen that outlines the procedure was glimpsed by the coder: Make an AI rendition of your voice in ten seconds or less! It will work with text-to-speech in videos on TikTok.”Following this introduction, visitors were taken to the TikTok Voice Library Terms page, which was the first of four.These pages provided information on how TikTok handles speech recordings and described how voice recordings can be deleted from the platform’s servers.

Early stages and future expectations

Users are redirected to a recording page after accepting the terms; however, at this time, the page is blank, presumably because the service is still under construction.When this feature is completely functional, it will ask users to read a passage of text that is shown onscreen.AssembleDebug claims that this procedure will enable TikTok to recognize the user’s voice and make it accessible to others in the TikTok Voice Library.

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Concerns and anticipations surrounding the feature

Even though the text-to-speech tool is still under development, worries have been expressed regarding its abuse, particularly in this day and age when false information is easily accessible on digital platforms. It is anticipated that will release additional details regarding its strategies for resolving these problems. But further information won’t likely be available until the facility is prepared for a wider public release.

AI increasing impact on journalism: Check risks, the most current developments, and more.

Artificial intelligence: Google is testing a product called “Genesis,” which is a technology they developed, with publishers.

As per media analyst David Caswell, artificial intelligence is causing “a fundamental change in the news ecosystem” in the short term and is already upending journalism, according to AFP.

Speaking at a gathering of business executives in the Italian city of Perugia to address the most pressing issues affecting their industry, Caswell was formerly employed by Yahoo! and the innovation division of the British broadcaster, BBC News Labs.

How do you see the journalism of the future?

“We’re not sure. However, our goal is to comprehend every possibility—or as many as possible—that may exist. However, I believe that a few things are starting to become apparent. First, there’s a good chance that more material will be produced, originated, and sourced by machines. Thus, machines will gather more information for a great deal of journalism, produce more text, audio, and video, and create the kinds of consumption experiences that people have.

That is a fundamental shift in the news ecosystem specifically, as well as the information ecosystem as a whole. This is structurally distinct from the one we currently inhabit. We have no idea how long it will take; it may take two, four, or seven years. As there isn’t much friction, I believe it will go more quickly.

News devices, new technology, large sums of money for producers, and technical know-how are not necessities for the general public. Thanks to generative AI, everything that constituted a barrier in the earlier generation of AI is no longer so.

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What are the latest developments underway in newsrooms?

“New technologies that facilitate AI workflow are one type of development; JP Politikens in Denmark, for instance, concentrated on increasing the effectiveness of their current products and operations. However, it also serves as a foundation for bringing their personnel, operations, and goods into this new AI world.

Google is testing a product called “Genesis,” which is a technology they developed, with publishers. Some publishers are creating their own. These utilities will be available in platform versions.

These are instruments that you bring with you to gather news; on the left side are your transcripts, PDFs, audio files, movies, etc. It facilitates tasks like analysis, summaries, script writing, and audio production. The tool is in charge of them.

The journalist’s responsibilities include organizing the tool, editing, and thorough content verification. Using the tool—like an editorial manager for an AI tool—becomes the job.

In theory, it functions. However, that’s not the same as using it day in and day out, month in and month out, in a newsroom within a vast business. The key question is: will it be eagerly embraced and utilized in a way that ultimately yields little productivity, or will it significantly increase journalistic production?”

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What is the cost?

“In the last decade, it was very expensive. It was very difficult: You needed the data, you had to build a data warehouse, have an enterprise deal with Amazon or Google Cloud, you had to hire data scientists, to have a team of data engineers. it was a major investment. Only the BBC, the New York Times, and this level of organizations could afford it.

That’s not true with generative AI. You can run news workflow through interfaces that you pay 20 dollars a month. You don’t need to be a coder. All you need is motivation, enthusiasm, and curiosity.

There are lots of people in news organizations who would not have been involved in AI in the past because they did not have the technical background and now they can just use it. It’s a much more open form of AI: both smaller newsrooms can do a lot with, and more junior individuals in more established newsrooms can do a lot with. I think it’s a good thing, but it’s also a disruptive thing. Often the internal politics in newsrooms are disrupted by that”.

At what stage of AI are we?

“AI has been around since the 1950s. But AI for practical purposes appeared with ChatGPT. It’s going to be quite a while — years — before we understand how to use them for valuable things. There are so many things that you can do with them.

The risk to journalism is that other organizations, start-ups, and tech companies will do things in the news faster than the news world itself. Lots of start-ups have no editorial component at all. They are swiping the content of news organizations, some are covering niches: they are monitoring press releases, social media channels, PDF from reports”.

What are the risks?

“Journalism has not been doing well for the last 10 or 15 years, there hasn’t been a credible vision of the future for how this is going to play out just in the social media world. What AI does (is) it gives news organizations a chance to change that situation, to participate in a new ecosystem. It’s good to be optimistic, get engaged, explore, have projects, and experiments, and maybe change your mindset, that’s positive.

As Jelani Cobb, Dean of Columbia School of Journalism, says: ‘ AI is the unignorable force that journalism will have to organize itself around’. It’s not going to adapt itself to journalism.

A former banker of 23 years old tells how she earned over ₹208,426,135 thanks to AI

In a year’s time, New Delhi native Renu Bhatnagar was able to purchase two homes, a Bentley, a Ferrari, and travel to sixteen different nations. She had previously worked in one of the Indian banks for minimal wage. How, then, could she make that kind of money in a year? Her story is told to us.

“I was employed as a customer consultant at a bank branch for four years. After earning a distinction in my banking and finance studies, I believed that working for a bank would be the fulfillment of my ambitions. I had to start at the bottom of the bank’s pay scale, but my dream was to become wealthy and have the chance to pursue a career. Unfortunately, I did not for four years.

The day that changed Renu’s life

Upon hearing this, Renu started questioning the client about what happened next. – “The client told me that as soon as he read the article, he decided he had to try using Trader AI to solve his financial problems. He read comments from ordinary people who started making money with Trader AI, which convinced him that perhaps this was his last chance not to lose his house.

He decided to deposit the minimum amount of ₹20000. He was happy that this minimum deposit was so small that even poor people had a chance to start earning a lot of money. After 3 days, he had ₹396343 in his account, which surprised and delighted him greatly, because he knew that all problems were solved and he could pay his debts and start life anew.

After a month, he had more than ₹416,852,2 in his account. He no longer needed to worry about eviction, because he could pay the overdue installments of the house.” – Renu was happy for the customer’s luck, but deep down felt envy and also wanted to make this money. So, Renu asked the client if anyone can register and make money with Trader AI.

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“The client told me that to use the algorithm, you need to receive an exclusive invitation link from a user of the platform. Unfortunately, the number of spots was limited and at that moment I could not register, which made me very sad.

I gave him my email and asked that if there were available spots, to send me an invitation link.” Renu worked normally attending to customers in the following days. However, there wasn’t a day or an hour when she didn’t think about her client’s story.

She checked her email on her phone dozens of times a day to see if he had sent her the invitation link. “After a few days, I thought this guy had certainly forgotten me. After all, why would he remember a bank employee. He’s probably enjoying life and spending the money.”

But as it turned out, on Wednesday, Renu got an invitation link to the Trader AI system. She was counting down the final two hours of work before she left. She needed to register as soon as she could get home. She was always aware of the $50,000 transfer amount that she saw in the client’s account.”

“I sat down at the computer to access Trader AI as soon as I got home at 6:00 PM. I submitted the contact form and read the testimonies of regular people who boasted about their earnings and congratulated the app’s developers. This further persuaded me that if hundreds of people are already profiting from the algorithm.

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Meta joins the AI race against competitors Microsoft and Google, with plans to develop “human-level” AI shortly!

After Google and Microsoft, Meta is also joining the race to develop super AI, in an attempt to incorporate ‘human tendencies’ in it.

With Microsoft leading the space of artificial intelligence across the globe with OpenAI, rival firm Meta is also planning to join the AI race. The prime goal of Meta is to develop “super AI”, creating it to reach the same level as humans.

Meta CEO Mark Zuckerberg, in an interview with The Verge, said on Thursday that his company is joining the pursuit of creating super artificial intelligence, with an aim to create AI that can problem solve and rationalize on the same level as humans.

Artificial general intelligence or AGI is the oft-stated goal of OpenAI, the company that created ChatGPT, and is the central pursuit by the AI departments at Google. Through its developmental goal for AGI, Meta is expected to directly compete with tech giants Google and Microsoft.

Zuckerberg talked about how Meta has employed the best engineers to work towards expanding their presence in AI, and their primary goal is general intelligence.

“We’ve come to this view that, in order to build the products that we want to build, we need to build for general intelligence,” Zuckerberg told The Verge. He further added, “I think that’s important to convey because a lot of the best researchers want to work on more ambitious problems.”

AI has become the new rage with big tech companies after Microsoft-backed OpenAI and its chatbot ChatGPT blew up, creating a competitive sector. The prime competitors in this space remain Microsoft, Google, Elon Musk’s new startup xAI and now, Meta.

Google, according to tech media The Information, is keeping its researchers from being poached with stock compensation while OpenAI lures top staff with multimillion-dollar pay packages.

Job cut fears triggered by AI

While it continues its research on general intelligence (AGI), Meta has already released its AI model Llama 2, and Zuckerberg said his teams were working on a next version. The chatbot of Llama 2 has been made available to the public by the company.

Meanwhile, the rapid development of artificial intelligence has triggered fears in the industry regarding major job cuts in the future. Google has already fired hundreds of employees this year, with more layoffs on cards for 2024.

Further, Microsoft-backed HumaneAI has cut a massive chunk of its workforce in January 2024, just before the release of its first-ever product, a wearable AI pin.

Meta has not made any prominent job cuts in the year till now, but big tech companies overall have laid off 7500 employees just in the first three weeks of January 2024, triggering fresh fears on how AI could replace humans in the workplace.

This article was originally published on Hindustantimes news!

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