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The next five years will be revolutionary for the business world, at least according to DeepMind co-founder and Inflection AI CEO Mustafa Suleyman.

The artificial intelligence (AI) pioneer recently spoke at the World Economic Forum, where, during a panel discussion, he told audience members that it was his belief that an AI system could invent, manufacture, market and sell a product essentially running its own business before 2030.

Per Suleyman:

While many would describe a machine capable of such feats as an artificial general intelligence (AGI), Suleyman declined to engage on that subject. He called the term AGI a hazy concept and said it was pretty unclear.

Instead, according to Business Insider, he stated that he believes researchers should focus on practical applications for AI technology.

In previous commentary, Suleyman had described his Turing Test, an analogue for determining how human-like an AI system is, as being whether an AI system could autonomously (and legally) earn $1 million.

Hes also spoken at length about the need to constrain artificial intelligence systems before its too late. In his book, The Coming Wave: Technology, Power, and the Twenty-first Centurys Greatest Dilemma, published in 2023, Suleyman writes that the next five years or so are absolutely critical.

Suleyman has also advocated for United States government intervention in the AI sector. Last year, he joined OpenAI CEO Sam Altman, Meta CEO Mark Zuckerberg and executives from Google, Amazon and other tech companies for a meeting with the U.S. Senate to discuss potential regulatory efforts for AI.

While no enforceable action came from the committee meetings, Suleyman and other tech leaders did sign a voluntary agreement to avoid knowingly creating harmful AI systems.

Related: Senators unveil bipartisan blueprint for comprehensive AI regulation

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DeepMind co-founder says AI will be able to invent, market, run businesses by 2029 - Cointelegraph

DeepMind co-founder Mustafa Suleyman is a heavyweight in the AI space. The Oxford dropout worked as a negotiator for the United Nations and the Dutch government early in his career, but then pivoted to AI and founded DeepMind in 2010 alongside Demis Hassabis and Shane Legg.

The machine learning lab grew like a weed under Suleyman, with the backing of Peter Thiels Founders Fund, before selling to Google parent company Alphabet for 400 million in 2014. Suleyman then took on several roles at DeepMind before stepping down five years later.

Now, the veteran AI founder is working on a new company called Inflection AI, which offers personalized AI assistants. And while Suleyman remains an avid supporter of AI, he expressed concerns about the industrys possible negative effectsin particular on workers.

In the long termwe have to think very hard about how we integrate these tools, because left completely to the market and to their own devices, these are fundamentally labor replacing tools, Suleyman told CNBC on Wednesday at the World Economic Forums annual gathering in Davos, Switzerland.

AI tools do two main things fundamentally differently, the DeepMind co-founder said. First, they make existing operations more efficient, which can lead to huge savings for businesses, but often by replacing the humans who did those jobs. Second, they allow for entirely new operations and processes to be createda process that can lead to job creation. These two forces will both hit the labor market by storm in coming years, leaving a serious, but unpredictable impact.

While Suleyman expects AI to augment us and make us smarter and more productive for the next couple decades, over the long term, its impact is still an open question.

Experts have been debating whether AI will replace human workers for over a decade. Some researchers argue that AI will lead to a wave of unemployment and economic disruption as it takes jobs worldwide, but others believe that the technology will create new job opportunities and spur economic growth by boosting worker productivity.

Theres been a steady stream of academic papers on the topic. A 2013 study by Carl Benedikt Frey and Michael Osborne, for example, estimated that 47% of US jobs are at risk of being automated amid the AI boom by the mid-2030s. And a July McKinsey study found that nearly 12 million Americans will need to switch jobs by 2030 as AI takes over their roles.

On the other hand, some researchers have found that AI could boost economic growth and offer new opportunities for workers. A 2022 United Nations International Labor Organization (ILO) study found that most AI systems will complement workers, rather than replacing them.

Still, Suleyman isnt the only big name in the AI industry to warn about the scary implications of AI for the labor market.

In a Jan. 10 Wired article, MIT professor Daron Acemoglu predicted that AI would disappoint everyone in 2024, proving itself merely a form of so-so automation that will take jobs from workers but fail to deliver the expected monumental improvements to productivity.

Researchers have yet to solve the problem of hallucinationswhere generative AI systems exaggerate or fabricate factsand that could lead to a whole host of issues in coming years, the noted economist argued, adding that theres no quick fix to the problem.

Generative AI is an impressive technology, and it provides tremendous opportunities for improving productivity in a number of tasks. But because the hype has gone so far ahead of reality, the setbacks of the technology in 2024 will be more memorable, Acemoglu wrote.

For Suleyman, unlike Acemoglu, its not that hype surrounding AI isnt real, its definitely a truly transformational technology.

Everything that is of value in our world has been created by our intelligence, our ability to reason over information and make predictions. These tools do exactly that, so its going to be very fundamental, he explained Wednesday.

Suleyman instead fears that AI will be so good at replicating humans that it will eventually displace workers, and without regulation, that could lead to serious economic consequences.

That being said, like Acemoglu, Suleyman argued that AIs proponents might be getting ahead of themselves with their optimistic near-term outlooks for rising productivity. The true impact of AI, from its ability to birth revolutionary technologies to its potential to stoke epic job losses, likely wont hit for years.

AI is truly one of the most incredible technologies of our lifetimes, but at the same time, it feels like expectations about its delivery are higher than theyve ever been and maybe we have hit a kind of peak hype for this moment, he explained.

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DeepMind co-founder Mustafa Suleyman warns AI is a fundamentally labor replacing tool over the long term - Fortune

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Google Deepmind says that a new artificial intelligence system has made a major breakthrough in one of the most difficult tests for AI.

The company says that it has created a new AI system that can solve geometry problems at the level of the very top high-school students.

Geometry is one of the oldest branches of mathematics, but has proven particularly difficult for AI systems to work with. It has been difficult to train them because of a lack of data, and succeeding requires building a system that can take on difficult logical challenges.

Typically, engineers train such systems using machine learning, which involves providing them with data on how to successfully complete a task, and have them learn how to do so. But there are few such human demonstrations available for proving theorems, especially in geometry.

Instead, researchers say they used a different approach to build the new system known as AlphaGeometry. They instead used a language model that was able to train itself by synthesising millions of theorems and their proofs, and then combined that with a system that can search through branching points in challenging problems.

Taken together, that system is able to learn and then solve complex geometrical problems without human input, the creators claim.

It was put to the test with 30 problems from the International Mathematical Olympiad, which is a competition in which the top-performing high school students are asked to prove mathematical theorems. AlphaGeometr was able to solve 25 of them.

That is far better than the previous best method, which was only able to solve 10 problems. It gets it close to the average gold medallist, who solved 25.9 theorems.

The system was also able to provide the proof in ways that humans understood and even found a new version of one theorem, researchers said.

At the moment, the system can only be used on specific kinds of geometry. But it could eventually be used in different branches of mathematics, the researchers say.

While much of the focus of recent AI excitement has been on large language models such as ChatGPT, Deepmind has focused primarily on more practical uses of artificial intelligence. That includes recent breakthroughs in weather forecasting and other parts of mathematics, for instance.

The work is described in a new paper, Solving olympiad geometry without human demonstrations, published in Nature.

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Google makes breakthrough in one of the hardest tests for AI - The Independent

Because everyone needs a squared hypotenuse

DeepMind, the brainy Google-owned company that makes super-smart AI, has created a system that can crack hard geometry problems.

It's a huge leap for machines that can think like humans, experts say. Geometry, and maths in general, have been a headache for AI boffins for a long time. Compared with text-based AI models, there is much less data for maths because it uses symbols and rules.

Thang Wang, one of the clever clogs behind the research, which is published in Nature today said solving maths problems needs logical thinking, something that most current AI models are rubbish at. This is why maths is a good way to measure how smart AI is, says Wang.

DeepMind's program, called AlphaGeometry, mixes a language model with a type of AI that uses symbols and rules to work things out. Language models are good at spotting patterns and guessing what comes next. But their thinking is not good enough for maths. The other type of AI is based on strict logic and rules, which helps it guide the language model to make sense. These two methods, for creative and logical thinking, work together to solve tough maths problems. This is like how humans do geometry, using what they know and trying new things.

DeepMind says it tested AlphaGeometry on 30 geometry problems that are as hard as the ones in the International Mathematical Olympiad, a contest for the best maths students. It did 25 in time. The previous best system, made by a Chinese maths whizz in 1978, did only 10.

Floris van Doorn, a maths professor at the University of Bonn, who was not part of the research said: "This is amazing... I thought this would take much longer." DeepMind says this system shows AI's ability to think and learn new maths.

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Google's DeepMind can square its hypotenuse - Fudzilla

Laurent Sifre and Karl Tuyls, two scientists from Google's artificial intelligence subsidiary, DeepMind, are reportedly in discussions with investors to establish an AI startup in Paris, according to Bloomberg News. The pair, who have already announced their departure from DeepMind, are said to be negotiating a financing round that could generate over 200 million euros ($217.84 million).

The startup, currently known as Holistic, may concentrate on the development of a new AI model. Google and DeepMind have yet to respond to requests for comment from Reuters.

DeepMind, acquired by Google's parent company Alphabet approximately a decade ago, has been a significant player in AI research. It has recently launched its own products to compete with generative AI chatbots like Microsoft-backed ChatGPT.

In related news, Mistral AI, a Paris-based company co-founded by a former DeepMind researcher, announced in December that it had raised 385 million euros ($419.34 million) in its second funding round in just seven months.

Google to Continue with Layoffs

In early 2023, Google laid off around 12,000 employees. However, it seems the company is not done with the job cuts. The company has already begun layoffs. The company isreportedly planning to lay offemployees across its ad sales division as part of a restructuring process aimed at improving operational efficiency through the integration of AI.

The restructuring will primarily affect the ad sales team and customer care services, as Google explores the benefits of leveraging AI. The affected employees have been notified and will have the opportunity to apply for other open positions within Google. Google CEO Sundar Pichai acknowledged the challenging times and emphasized the need for action to prevent more adverse outcomes down the line.

Also read:29-yr-old IIT Bombay graduate who worked at Google says he has enough money to retire

Also read:Government issues ultimatum as minister Rajeev Chandrasekhar promises stricter IT rules against deepfakes

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Google AI scientists to leave company to open own startup: Report - Business Today