Lifeboat Foundation

Kynikos Associates founder and legendary short seller Jim Chanos has highlighted the disparity between the public perception and actual performance of Tesla Inc. TSLA.

What Happened: In an interview with the Institute for New Economic Thinking, Chanos pointed out a common misbelief held by many Tesla admirers. He said the electric vehicle giant is seen as a multi-faceted entity — an AI firm, an alternative energy business, and a robotics organization.

This image, Chanos argues, is a result of Elon Musk’s compelling portrayal of Tesla as a future-focused company.

Elon Musk is getting the Hollywood treatment. Variety reports that indie movie studio A24 has won the rights to adapt Walter Isaacson’s recent biography about the business magnate, with “Black Swan” and “Requiem for a Dream” director Darren Aronofsky slated to direct. There’s no official word on who’s playing Musk yet, though there’s plenty of wild suggestions online.

According to the report, studios were embroiled in “heated competition” for Isaacson’s latest book, which was released this September. The author’s last biography on a tech titan, Steve Jobs, was also adapted into a movie of the same name in 2015. Of course, the main attraction here is Musk, whose penchant for controversy is matched only by his enormous popularity.

Continue reading “A24’s Making an Elon Musk Biopic Directed by Darren Aronofsky” »

Will AI put game developers out of business? Find out why we think so after developing a new udemy course “Fast and Furious Game Dev with JavaScript and AI.”

Machine learning (ML) is now mission critical in every industry. Business leaders are urging their technical teams to accelerate ML adoption across the enterprise to fuel innovation and long-term growth. But there is a disconnect between business leaders’ expectations for wide-scale ML deployment and the reality of what engineers and data scientists can actually build and deliver on time and at scale.

In a Forrester study launched today and commissioned by Capital One, the majority of business leaders expressed excitement at deploying ML across the enterprise, but data scientist team members said they didn’t yet have all the necessary tools to develop ML solutions at scale. Business leaders would love to leverage ML as a plug-and-play opportunity: “just input data into a black box and valuable learnings emerge.” The engineers who wrangle company data to build ML models know it’s far more complex than that. Data may be unstructured or poor quality, and there are compliance, regulatory, and security parameters to meet.

01. AI’s model outperforms Meta’s Llama 2 on certain metricsStartup to offer open-source model; proprietary options laterA Chinese startup founded by computer scientist Kai-Fu Lee has become a unicorn in less than eight months on the strength of a new open-source artificial-intelligence model that outstrips Silicon Valley’s best, on at least certain metrics.

The company, 01.AI, has reached a valuation of more than $1 billion after a funding round that included Alibaba Group Holding Ltd.’s cloud unit, Lee said in an interview. The chief executive officer of venture firm Sinovation Ventures will also be CEO of the new startup. He began assembling the team for 01.AI in March and started… More.

Bloomberg connects decision makers to a dynamic network of data, delivering business and financial information, news and insights globally.

Continue reading “AI Pioneer Kai-Fu Lee Builds $1 Billion Startup in Eight Months” »

An effective way of tackling this challenge is to find friendly partners who can help bear the burden. This means other businesses and organizations with the skills you’re missing or that specialize in the support infrastructure you need, be it in engineering, logistics, marketing or sales.

This is particularly essential when dealing with AI. It’s certainly getting easier for companies to start exploring and benefiting from AI. But fully integrating it in a business across every viable use case is still expensive, time-consuming and often dependent on the availability of highly skilled specialists.

Businesses rely on trusted networks of consultants, suppliers, and resellers to create these partnership ecosystems. Partnership working in the context of AI is going to be particularly important for small and medium sized enterprises (SMEs) that generate the majority of GDP and account for 90 percent of global business activity. Ultimately, it’s likely to be these businesses that will determine whether AI achieves its projected $4.4 trillion potential.

CNBC’s Andrea Day joins Shep Smith to report on ‘robot nurses’ meant to give a hand to live nurses, who suffered under very difficult conditions during the pandemic. For access to live and exclusive video from CNBC subscribe to CNBC PRO: https://cnb.cx/2NGeIvi.

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Continue reading “Robot ‘nurse’ helps alleviate burnout among real nurses around the country” »

One Polish drinks company is taking a futuristic approach to its business strategy by appointing the world’s first A.I.-powered robot CEO.

Hackers are using WormGPT, a rogue AI tool, to write phishing emails and malware.

Cybersecurity experts have warned that a new generative AI tool called WormGPT, which is being sold on the dark web, poses a serious threat to businesses and individuals.

IStock/BrianAJackson.

Continue reading “WormGPT: Dark web’s new AI weapon for cyberattacks” »