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Musk says Twitter takeover will not go ahead without clarity on spam accounts



Elon Musk’s Twitter takeover has briefly paused with the billionaire wanting to know how many fake BOT accounts are on the platform

Musk says his bid to buy Twitter was “temporarily on hold” pending details about how many spam and fake accounts are on the platform.

Managing Direction and analyst at Wedbush Securities, Dan Ives says he thinks Musk may have gotten cold feet or is trying to push the price down.

He says that bots and fake accounts on Twitter have played a factor.

“Twitter’s claim is that there’s less than five per cent. Musk said it could be as much as 20 per cent… I think this continues to be a bit of a scapegoat, you know, for him to try to get at a deal,” Ives says.

Over the weekend, he tweeted that Twitter’s legal team called to complain that he had violated their non-disclosure agreement. Twitter has declined to comment

Musk set to negotiate a lower Twitter purchase price

Ives says Musk is attempting to lower the price of the original billion dollar deal.

“Now the question is what is he ultimately offering and negotiating? And then what will the Twitter board do?”

Musk’s involvement with Twitter plays a significant role in how the company performs.

“Musk has a billion dollar breakup fee pretty small relative to the deal. If he walks, you could see Twitter stock go down in a few hours.”

“He’s hugely critical to the company,” he says.

However, Ives does believe that Musk ultimately wants to get the deal done.

“I think ultimately, Musk comes back somewhere in the mid 40 billions…and then ultimately, this becomes a back and forth between the Twitter board.”

Alternaviely, Ives suggests that if Twitter do not comprimise, Musk may walk from the Twitter deal all together.

Over the recent weeks Twitter stocks have been hit compared to other stocks.
“I’d it is historic in terms of what I’ve seen going on…I think quality tech is oversold here and markets are already pricing in a modest recession.”

Amanda Gunn contributed to this post.

Anthony Lucas is reporter, presenter and social media producer with ticker News. Anthony holds a Bachelor of Professional Communication, with a major in Journalism from RMIT University as well as a Diploma of Arts and Entertainment journalism from Collarts. He’s previously worked for 9 News, ONE FM Radio and Southern Cross Austerio’s Hit Radio Network. 

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AI in the modern economy



Unraveling the impact of AI: unprecedented economic growth or unforeseen challenges on the horizon?

In an era dominated by technological advancements, AI is spearheading a revolution in the modern economy, providing innovation, enhancing efficiency, and transforming industries.

But is the development of AI bringing positive change, or are there challenges we haven’t seen coming?

Denver Naidoo, CTO and co-founder of AI workforce provider Zeligate explores the ups and downs of AI in the modern economy.

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Rising cybercrime spurs push for stronger cybersecurity measures



Increased cybercrime reports highlight urgent need for threat detection and response tools

In a concerning trend, cybercrime reports have witnessed a sharp increase that has signalled a growing concern in the digital landscape, particularly within businesses.

The surge in reports emphasises the pressing need for organisations and individuals alike to adopt and deploy real-time threat detection and response tools more promptly, as the battle against evolving online threats intensifies.

David Peterson from Confluent talks in-depth on the subject of Cybersecurity and how businesses can take a more proactive strategy and preempt cybercrime.

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AMD unveils advanced chips with lighting AI training speed



Advanced Micro Devices (AMD) has launched a series of cutting-edge chips designed to supercharge the speed of artificial intelligence (AI) training.



With an emphasis on faster processing and improved efficiency, these new chips are set to redefine the capabilities of AI-driven applications across various industries.

The latest AMD chips boast an innovative architecture that significantly enhances the performance of AI training tasks, ranging from machine learning algorithms to neural network simulations.

This development addresses a critical need in the rapidly evolving field of AI, where speed and efficiency are paramount for handling complex computations and accelerating breakthroughs in research and development.

These chips are poised to revolutionise the landscape of AI-powered technologies, offering a competitive edge to businesses and researchers alike.

The enhanced processing power enables quicker training of AI models, unlocking the potential for more sophisticated applications such as advanced image recognition, natural language processing, and autonomous systems. As industries continue to embrace AI, the release of these chips underscores AMD’s commitment to pushing the boundaries of technology.

In the race to dominate the AI hardware market, AMD’s latest release positions the company as a formidable player alongside industry giants. As demand for faster and more efficient AI solutions grows, the impact of these chips on the development and deployment of AI applications is expected to be substantial.

The unveiling of these advanced chips not only marks a significant milestone for AMD but also signals a new era in the evolution of AI technologies.

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