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To call ChatGPT, the free text-generating AI developed by San Francisco-based startup OpenAI, a hit is a massive understatement.

As of December, ChatGPT had an estimated more than 100 million monthly active users. It’s attracted major media attention and spawned countless memes on social media. It’s been used to write hundreds of e-books in Amazon’s Kindle store. And it’s credited with co-authoring at least one scientific paper.

But OpenAI, being a business — albeit a capped-profit one — had to monetize ChatGPT somehow, lest investors get antsy. It took a step toward this with the launch of a premium service, ChatGPT Plus, in February. And it made a bigger move today, introducing an API that’ll allow any business to build ChatGPT tech into their apps, websites, products and services.

The business magnet is trying to hire an AI expert who recently left Alphabet, Google’s parent company.

Elon Musk is working on a “new research lab to develop an alternative to ChatGPT,” OpenAI’s chatbot, which he co-founded earlier and later “cut ties” with.

The tech billionaire has reached out to AI researchers in recent weeks to develop a ChatGPT “alternative,” The Information, a technology news website, reported on Monday, citing sources close to the matter.

In an interview with EE Times, Classiq CEO Nir Minerbi said Classiq’s academic program is an essential part of its broader strategy to expand the platform’s reach and promote the quantum computing business.

“We believe that offering this program will give students the tools and knowledge they need to learn practical quantum software-development skills while also providing researchers with a streamlined means of developing advanced quantum computing algorithms capable of taking advantage of ever more powerful quantum hardware,” he said. “In addition, our program enables students and researchers to test, validate and run their quantum programs on real hardware, providing valuable real-world experience. Ultimately, we think that our academic program will have a significant impact on the quantum computing community by promoting education and research in the field—and helping to drive innovation and progress in the industry.”

Classiq and Microsoft are among the top companies developing quantum computing software. The quantum stack developed by the firms advances Microsoft’s vision for quantum programming languages, which was published in the 2020 issue of Nature.

Artificial Intelligence (AI) is going through something of a “hot topic” moment, as applications such as ChatGPT show the world just how powerful and capable it is becoming. The emergence of this new breed of “generative” AI tools has made it clear in recent months that it is no longer something that is only important in the realm of academic research or Silicon Valley tech giants.

And far from simply being the latest “viral sensation,” AI has truly become a technology that any business or individual can leverage to revolutionize the way they work or go about any number of day-to-day activities.


AI tools are becoming accessible to any business or individual, transforming the way they work. The technology is no longer just for academics or tech giants, so here we look at some of the top tools everyone should be trying out.

Nokia’s legacy as a traditional mobile phone maker is over, and its new focus is on networks and industrial digitalization.

No more Nokia phones. On Sunday, the Finnish maker announced plans to rebrand its identity for the first time in almost six decades.

“There was the association to smartphones, and nowadays we are a business technology company,” Chief Executive Pekka Lundmark told Reuters in an interview.

Abhay Parasnis, the former chief technology officer of Adobe, wants to use AI powered by OpenAI, Stable Diffusion and computer vision models to help companies churn out branded content. His startup Typeface, which he launched in June 2022, has now raised $65 million in Series A financing to continue building out its generative AI platform for marketing and communication content such as blog posts, Instagram posts, websites and job postings on LinkedIn.

One of the challenges businesses face, Parasnis says, is that the skills needed for marketing can take years to acquire, which can make finding the right people challenging.


Typeface is a platform trained on ChatGPT and Stable Diffusion models that can generate personalized blogs, Instagram posts and websites for companies.

I attended Celesta Capital’s TechSurge Summit on February 13, 2023 at the Computer History Museum. In this piece I will talk about interview with Nic Brathwaite Founder and Managing Partner of Celesta Capital as well as Sriram Viswanathan (Founding General Manager of Celesta and heavily involved in venture investments in India), and a panel discussion by John Hennessy (Chairman of Alphabet).

In a companion article I will talk about my interview with John Hennessy, Chairman of Alphabet (Google’s parent company) and Vint Cerf, also with Google, during the TechSurge Summit.


He also said that the current cost of inference is too high and that Chat GBT is too often busy. He thought that there were opportunities to build AI systems trained and focused on particular uses, which would lead to smaller models and they would be more practical. He thought we are 1–2 years away from useful products, particularly in business intelligence. He also said that the use of AI allows us to program with data rather than lots of lines of code. Google was hesitant to produce something like Chat GBT, they didn’t want the system to say wrong or toxic things. He said that the tech industry needs to be more careful to encourage a civil society and that many tools, such as the Internet, were not anticipated to be used to do evil things.

John said that AI can be an amplifier of human intelligence. It could be used to help teach kids in a classroom with customized instruction to match their rate and type of learning. He said that the chance of making a true general AI is much more likely than it was in the past. He also made comments on defensive technologies, blockchain, fighting climate change, the future of semiconductor technology in the US and medical innovations.

Celesta’s TechSurge Summit covered investment trends in deep technology and included insights on data growth and demand. John Hennessy, CEO of Alphabet, covered many topics, including how AI can be an amplifier of human intelligence.

The BMW Group on Monday launched a pilot fleet of hydrogen vehicles, with the German automotive giant’s CEO referring to hydrogen as “the missing piece in the jigsaw when it comes to emission-free mobility.”

The BMW iX5 Hydrogen, which uses fuel cells sourced from Toyota and has a top speed of more than 112 miles per hour, is being put together at a facility in Munich.


Described by the International Energy Agency as a “versatile energy carrier,” hydrogen has a variety of applications and can be deployed in sectors such as industry and transport.

BMW is one of several automotive firms continuing to look into the potential of hydrogen. Others include Toyota and Hyundai, while smaller businesses such as Riversimple are also working on hydrogen-powered cars.

Hydrogen may have its backers, but some high-profile figures from the automotive industry are not so sure.

Over half of the studied companies in the United States have deployed OpenAI’s ChatGPT chatbot, according to a recent study.

And nearly half of these businesses disclosed that ChatGPT had already replaced a number of their employees, claimed the survey done by Resumebuilder.com, involving 1,000 business leaders.

This new technology is still in its early stages in the workplace, “workers need to surely be thinking of how it may affect the responsibilities of their current job,” said Stacie Haller, Chief Career Advisor at Resumebuilder.com.

Was given test for Singapore students and failed.


The publication compared ChatGPT with students who have taken the PSLE in the past three years using questions from the latest collection of past year papers that are available in bookstores.

ChatGPT received a mere 16 out of 100 points for three math papers, 21 points for the science papers, and 11 out of 20 for the English papers.

The bot was limited in that it was unable to answer questions that involved graphics or charts, receiving zero points for those sections. It, however, performed relatively better in answering questions that it could attempt to solve and managed to answer more than half of the questions in the maths papers and a quarter of the science papers’ questions, which predominantly included graphs as part of the questions.