Category Archives: Deep Mind
Sundar Pichai on merging Android and Pixel teams, Google DeepMind, more – 9to5Google
Sundar Pichai is out with an internal email today detailing the big Platforms & Devices reorganization of Android, Chrome and Pixel, as well as other company-wide changes.
To truly drive computing forward, we need to do it at the intersection of hardware, software and AI. So we are formalizing the collaboration between DSPA and P&E and bringing the teams together in a new PA called Platforms & Devices.
The Alphabet/Google CEO says this merger will result in higher quality products and experiences for our users and partners. Specifically, it will turbocharge the Android and Chrome ecosystems and bring the best innovations to partners faster, with Circle to Search for Samsung cited as an example.
This should speed up decision-making internally.It follows the hardware division in January switching to a functional organization model where, for example, there is one team for hardware engineering across Pixel, Nest, and Fitbit.
Meanwhile, there are other AI changes today. All compute-intensive model building now takes place within Google DeepMind. This gives other teams within Google single access points for tak[ing] these models and build[ing] generative AI applications.
Meanwhile, Googles Responsible AI teams are moving from Research to DeepMind to be closer to where the models are built and scaled.
Were standardizing launch requirements for AI-powered features and increasing investments in red team testing for vulnerabilities and broader evaluations to help ensure responses are accurate and responsive to our users prompts.
Meanwhile, Google Research is getting a clear and distinct mandate to continue investing in foundational and applied computer science research in three key areas:
Fundamental computer science research is in our DNA and we have some of the worlds best computer scientists. We simply would not be the company we are today without the researchers who developed the foundations on which all Googles products are built and are now inventing the foundations for our future.
Pichai ends on a mission first note:
We have a duty to be an objective and trusted provider of information that serves all of our users globally. When we come to work, our goal is to organize the worlds information and make it universally accessible and useful. That supersedes everything else and I expect us to act with a focus that reflects that.
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Sundar Pichai on merging Android and Pixel teams, Google DeepMind, more - 9to5Google
Google merges DeepMind and Research teams in latest AI push – Verdict
Google announced on Thursday (18 April) that it will be merging teams that focus on building AI models across its Research and DeepMind divisions, in the latest move by the company to catch up in the GenAI race.
Google will be moving its Responsible AI teams from its Research department to DeepMind in order for it to be closer to where its AI models are being built, according to the company.The Responsible AI team focuses on safe AI development.
The move comes as concern about AI safety grows and global lawmakers increasingly seek effective ways to regulate the rapidly growing technology.
At the start of April, the UK and US governments signed a memorandum of understanding in a partnership to tackle AI safety and ethics.
The two countries previously pledged to work together on AI safety during the UKs AI Safety Summit in November 2023 at Bletchley Park.
Under the partnership, the UKs AI Safety Institute will share its research with the US. The countries have also committed to partnering with other countries on AI safety.
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The UKs Science, Technology and Innovation Secretary, Michelle Donelan, described the partnership as a landmark moment in AI development.
We have always been clear that ensuring the safe development of AI is a shared global issue, she said. Only by working together can we address the technologys risks head on and harness its enormous potential to help us all live easier and healthier lives.
GlobalData forecasts that the overall AI market will be worth $909bn (712.25bn) by 2030, registering a compound annual growth rate (GAGR) of 35% between 2022 and 2030.
In the GenAI space, revenues are expected to grow from $1.8bn in 2022 to $33bn in 2027 at a CAGR of 80%.
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Google merges DeepMind and Research teams in latest AI push - Verdict
DeepMind CEO says Google to spend more than $100B on AGI despite hype – Cointelegraph
Googles not backing down from the challenge posed by Microsoft when it comes to the artificial intelligence sector. At least not according to the CEO of Google DeepMind, Demis Hassabis.
Speaking at a TED conference in Canada, Hassabis recently went on the record saying that he expected Google to spend more than $100 billion on the development of artificial general intelligence (AGI) over time. His comments reportedly came in response to a question concerning Microsofts recent Stargate announcement.
Microsoft and OpenAI are reportedly in discussions to build a $100 billion supercomputer project for the purpose of training AI systems. According to the Intercept, a person wishing to remain anonymous, who has had direct conversations with OpenAI CEO Sam Altman and seen the initial cost estimates on the project, says its currently being discussed under the codename Stargate.
To put the proposed costs into perspective, the worlds most powerful supercomputer, the U.S.-based Frontier system, cost approximately $600 million to build.
According to the report, Stargate wouldnt be a single system similar to Frontier. It will instead spread out a series of computers across the U.S. in five phases with the last phase being the penultimate Stargate system.
Hassabis comments dont hint at exactly how Google might respond, but seemingly confirm the notion that the company is aware of Microsoft's endeavors and plans on investing just as much, if not more.
Ultimately, the stakes are simple. Both companies are vying to become the first organization to develop artificial general intelligence (AGI). Todays AI systems are constrained by their training methods and data and, as such, fall well short of human-level intelligence across myriad benchmarks.
AGI is a nebulous term for an AI system theoretically capable of doing anything an average adult human could do, given the right resources. An AGI system with access to a line of credit or a cryptocurrency wallet and the internet, for example, should be able to start and run its own business.
Related: DeepMind co-founder says AI will be able to invent, market, run businesses by 2029
The main challenge to being the first company to develop AGI is that theres no scientific consensus on exactly what an AGI is or how one could be created.
Even among the worlds most famous AI scientists Metas Yann LeCun, Googles Demis Hassabis, etc. there exists no small amount of disagreement as to whether AGI can even be achieved using the current brute force method of increasing datasets and training parameters, or if it can be achieved at all.
In a Financial Times article published in March, Hassabis made a negative comparison to the current AI/AGI hype cycle and the scams its attracted to the cryptocurrency market. Despite the hype, both AI and crypto have exploded their respective financial spaces in the first four months of 2024.
Where Bitcoin, the worlds most popular cryptocurrency sat at about $30,395 per coin in April of 2023, its now over $60,000 as of the time of this articles publishing, having only recently retreated from an all-time-high about $73K.
Meanwhile, the current AI industry leader, Microsoft, has seen its stock go from $286 a share to around $416 in the same time period.
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DeepMind CEO says Google to spend more than $100B on AGI despite hype - Cointelegraph
Google will spend more than $100 billion on AI, exec says – Quartz
After comparing the billions of dollars going into AI development to crypto hype, Googles AI chief executive said Monday the company will spend over $100 billion over time to develop AI technology.
ChatGPT requires 15 times more energy than a traditional web search, says Arm exec
Demis Hassabis, chief executive of Google DeepMind, talked about the tech giants investment into AI during a TED conference in Vancouver on Monday, where he was asked about OpenAIs and Microsofts reported plans for a U.S.-based data center referred to as Stargate, Bloomberg reported. The data center would house a supercomputer made up of millions of AI chips, and could cost up to $100 billion, The Information reported, citing unnamed sources.
We dont talk about our specific numbers, but I think were investing more than that over time, Hassabis said in response to the question about Stargate. He didnt offer further details on Googles spending plans, Bloomberg reported. Hassabis, who co-founded AI startup DeepMind in 2010 before it was acquired by Google in 2014, reportedly added that Google parent Alphabet has better computing power than its rivals, including Microsoft.
Thats one of the reasons we teamed up with Google back in 2014, is we knew that in order to get to AGI we would need a lot of compute, Hassabis said. Artificial general intelligence (AGI) is the point at which AI reaches human-level knowledge across a range of tasks. Google had and still has the most computers, Hassabis said.
In March, Hassabis told the Financial Times that the billions of dollars being poured into AI is reminiscent of crypto hype, and is taking attention away from the phenomenal science and research behind its development.
The investment into AI brings with it a whole attendant bunch of hype and maybe some grifting, he said, comparing it to crypto and similar areas, adding that the sentiment has now spilled over into AI, which I think is a bit unfortunate.
However, Hassabis said he thinks the industry is only scratching the surface of what is possible. Were at the beginning, maybe, of a new golden era of scientific discovery, a new Renaissance, he said.
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Google will spend more than $100 billion on AI, exec says - Quartz
DeepMind Head: Google AI Spending Could Exceed $100 Billion – PYMNTS.com
Googles top AI executive says the companys spending on the technology will surpass $100 billion.
While speaking Monday (April 15) at a TED Conference in Vancouver, DeepMind CEO Demis Hassabis was asked about recent reports of Microsoft and OpenAIs planned artificial intelligence (AI) supercomputer known as Stargate,said to cost $100 billion.
We dont talk about our specific numbers, but I think were investing more than that over time, said Hassabis, whose comments were reported by Bloomberg News.
Hassabis, who co-founded DeepMind in 2010 before it was bought by Google four years later, did not offer further details on the potential AI investment, the report said. He also told the audience Googles computer power surpasses that of competitors like Microsoft.
Thats one of the reasons we teamed up with Google back in 2014, is we knew that in order to get to AGI we would need a lot of compute, he said, referring to artificial general intelligence, or AI that surpasses the intelligence of humans.
Thats whats transpired, he said. And Google had and still has the most computers.
Hassabis added that the massive interest kicked off by OpenAIs ChatGPT AI model demonstrated the public was ready for the technology, even if AI systems are still prone to errors.
As PYMNTS wrote earlier this month, the Stargate project spotlights the increasing role of AI in fueling innovation and determining the future of commerce. Experts believe that as tech giants invest heavily in AI research and infrastructure, the creation of sophisticated AI systems could revolutionize areas like personalized marketing and supply chain optimization.
It is important to consider the potential impact on jobs and the workforce, Jiahao Sun, founder and CEO at FLock.io, a platform for decentralized AI models, said in an interview with PYMNTS.
As AI becomes more capable in multimodal and integrated into commerce, it may automate industries that currently cannot easily be transferred into a chatbot interface, such as manufacturing, healthcare, sports coaching, etc.
Microsoft and OpenAIs $100 billion project could make AI chips more scarce, leading to more price spikes and leaving more businesses and governments behind due to limited access to hardware, CEO and co-founder of AI company NeuReality Moshe Tanachtold PYMNTS, while adding that projects like Stargate will drive commerce forward in the short term.
The installed hardware will fuel more AI projects, features and use cases, leading Microsoft to offer it at consumable prices, driving innovation on the consumer side with secondary use cases built on this accessible AI technology, Tanach said.
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DeepMind Head: Google AI Spending Could Exceed $100 Billion - PYMNTS.com
DeepMind CEO: Google will spend $100+ billion on AI – Computing
Speaking at a TED conference in Vancouver, DeepMind CEO Demis Hassabis said Google will spend $100 billion or more on AI over time.
According to Bloomberg, Hassabis - who leads DeepMind, the AI lab Google acquired in 2014 - was responding to a question about the $100 billion supercomputer Microsoft is allegedly planning to build with OpenAI, known as Stargate.
Hassabis said, "We don't talk about our specific numbers, but I think we're investing more than that over time."
Although he didn't say exactly how that money would be spent, or how quickly, he stressed that Google's processing power is higher than its rivals like Microsoft, Meta or AWS.
Presumably some of this money will go to DeepMind, which is not only Google's premier AI workplace, but now has to compete directly with Microsoft for talent in its London base.
For years, DeepMind has been practically uncontested in the London talent pool. Not only does Google generally have a reputation as an innovative workplace, but it could offer salaries higher than nearly anyone else could afford.
With Microsoft announcing its own London AI office last week, DeepMind - via Google - will have to get used to digging more deeply to attract and retain top talent.
Not that all of the money will go to talent. DeepMind has pushed the boundaries of AI in recent years, using the tech for everything from eye scans to controlling nuclear fusion.
One of its more recent developments was the release of Gemma, a family of small AI models that can run on laptops and PCs without sacrificing performance.
Not that all of DeepMind's developments have been a hit. Its material discovery work, Graph Networks for Materials Exploration (GNoME), was found to promise more than it delivers, and DeepMind itself said that its weather prediction model can't replace traditional forecasts yet.
Regardless, all of this work needs a ton of compute, which was one of the original reasons DeepMind teamed up with Google 10 years ago. Even if the company doesn't spend $100 billion on a single supercomputer, we're almost certain see the company adding more processing power to its portfolio.
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DeepMind CEO: Google will spend $100+ billion on AI - Computing
DeepMind CEO expects Google to top $100B in AI spending – Mobile World Live
The CEO of Googles AI division DeepMind Demis Hassabis (pictured) reportedly pinned the companys likely spending on artificial intelligence technology at north of $100 billion.
Reporting from a TED2024 Conference in Vancouver, Canada, Bloomberg claimed the executive indicated it will surpass the figure though also noted he didnt want to discuss the companys specific numbers.
The statement about Googles predicted total spend on the technology over time came in response to a question on a reported $100 billion supercomputer cluster plan reportedly in the works by Microsoft and OpenAI.
Dubbed Stargate, news of the Microsoft backed-project was reported by The Information last month and is the latest signal Big Tech is not toning down its spending on AI anytime soon.
Hassabis is one of the pioneers of the AI industry and co-founded DeepMind, with the start-up bought by Google in 2014.
During his keynote speech at MWC Barcelona 2024, the expert highlighted the much-hyped technology has already done plenty of good in areas such as in medical research. However, he acknowledged in the field of generative AI there is still work to do to before it will reach its true potential.
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DeepMind CEO expects Google to top $100B in AI spending - Mobile World Live
Deepmind CEO expects to spend more than $100 billion on AI – Techzine Europe
Demis Hassabis, CEO of Googles AI subsidiary Deepmind, estimates that the company will spend more than $100 billion on AI, given enough time.
He was responding to questions from the audience at a TED conference in Vancouver, Canada. Someone asked about Google Deepminds response to the announced Stargate supercomputer that tech magazine The Information reported on last month.
The article outlined a data center under construction, containing a computer that would contain millions of specialized server chips to provide DeepMinds competitor OpenAI with even more computing power. Microsoft, which has a major stake in OpenAIs success, would cough up the 100 billion that the mega-project is projected to cost. Microsoft has already invested 13 billion into OpenAI, the company behind ChatGPT.
We dont talk about our specific numbers, but I think were investing more than that over time, Hassabis replied. And he left it at that. He did add, however, that Googles parent company Alphabet has superior computing power compared to competitors, including Microsoft.
Thats one of the reasons we teamed up with Google back in 2014, is we knew that in order to get to AGI (Artificial General Intelligence ed.), we would need a lot of compute, he continued, according to Bloomberg. AGI is the supposed and controversial threshold at which AI outperforms humans in a wide range of tasks.
Remarks like these are proof of the investment race gripping Silicon Valley when it comes to AI. Microsoft is not only the leading investor in OpenAI, but recently (and rather unofficially) acquired pretty much all of Inflection AI. Mustafa Suleyman, co-founder of that company, became the new lead of Microsofts new AI division. Not only did he co-found Inflection AI, he also co-founded DeepMind at the time.
While Google managed to acquire Deepmind, Microsoft has now scooped up Inflection AI, or at least its people and product. Microsoft did pay the remaining husk $620 million for software licenses and LLMs, plus $30 million to ward off legal ramifications.
To the European Commission (EC), Microsoft argued that Google is the only company that can be at the forefront of AI without outside help. According to Microsoft, collaborations such as the one with OpenAI are necessary to provide Google with any competition.
Demis Hassabis founded DeepMind in 2010. Four years later, Google acquired the company.
Also read: Claude 3 is better than GPT-4 and Gemini: OpenAI has more and more competitors
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Deepmind CEO expects to spend more than $100 billion on AI - Techzine Europe
DeepMind CEO claims Google’s AI spend will surpass $100bn – Verdict
Google DeepMind CEO, Demis Hassabis, said that over time the search engine giant will spend over $100bn developing AI technology as investment in the emerging technology increases exponentially.
Speaking at a TED conference on Monday (15 April), Hassabis said he believed Google would invest more than Microsoft and OpenAIs planned $100bn AI supercomputer.
We dont talk about our specific numbers, but I think were investing more than that over time, Hassabis said in response to a question about the supercomputer.
The CEO, who co-founded DeepMind in 2010 before it was acquired by Google in 2014, also claimed that Alphabet had more powerful AI computing than rivals like Microsoft.
Thats one of the reasons we teamed up with Google back in 2014, is we knew that in order to get to AGI we would need a lot of compute, he added.
Hassabis was referring to artificial general intelligence, a controversial goal of AI developers that refers to an AI that is more powerful than humans.
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Google still has the most computers compared to its rivals, Hassabis added.
The comments from Hassabis follow reports that Google is considering charging for new premium GenAI features, which would mark the first time the search engine giant has put any of its core products behind a paywall.
Engineers are reportedly working on developing the technology but are undecided on whether or when to launch it.
Googles main search engine will remain free and ads will continue to be shown alongside search results even for paying customers, according to theFinancial Times.
We are continuing to rapidly improve the product to serve new user needs, a Google spokesperson said at the time.
The Information reported, at the end of March, that Microsoft and OpenAI were working on plans for a data centre project that could cost up to $100bn, which will also include an AI supercomputer called Stargate set to launch in 2028.
It comes as the demand for GenAI has forced an unprecedented need for larger data centres capable of handling more powerful work loads.
The supercomputer would mark the biggest in a series of computers the companies are looking to build over the next six years, according to the report.
GlobalData forecaststhat the overall AI market will be worth $909bn by 2030, registering a compound annual growth rate (GAGR) of 35% between 2022 and 2030.
In the GenAI space, revenues are expected to grow from $1.8bn in 2022 to $33bn in 2027 at a CAGR of 80%.
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DeepMind CEO claims Google's AI spend will surpass $100bn - Verdict
DeepMind CEO Announced Google’s Plan to Invest Over $100B in AI – Blockchain Council
In a groundbreaking announcement, Googles AI subsidiary DeepMinds CEO, Demis Hassabis, revealed the tech giants staggering commitment to revolutionize artificial intelligence with an investment surpassing $100 billion. Hassabis made this revelation during a recent TED conference, highlighting Googles determination to lead the charge in AI development.
Since its inception, DeepMind has been at the forefront of AI innovation, and Googles acquisition of the company in 2014 signaled its strategic focus on advancing AI capabilities. According to Hassabis, this monumental investment underscores Googles dedication to achieving artificial general intelligence (AGI), a concept denoting AI systems surpassing human intellect.
Hassabis emphasized that superior computing power is pivotal to realizing AGI, asserting Googles computational prowess over competitors like Microsoft. This assertion aligns with Googles strategic partnership with DeepMind, recognizing the need for extensive computational resources to propel AI research forward.
The announcement comes amidst reports of Googles potential introduction of premium GenAI features, marking a significant shift in its product monetization strategy. While the core search engine remains free, the prospect of premium features hints at Googles exploration of new revenue streams in the AI domain.
Meanwhile, Microsoft and OpenAI are also making waves with their ambitious plans for a $100 billion data center project, including the development of the Stargate supercomputer slated for 2028. This initiative reflects the escalating demand for advanced AI infrastructure to support increasingly complex workloads.
The global AI market is poised for exponential growth, with forecasts projecting a staggering worth of $909 billion by 2030. Revenue in the GenAI sector is expected to skyrocket from $1.8 billion in 2022 to $33 billion in 2027, underscoring the transformative potential of AI technology across industries.
Hassabis acknowledged the growing public interest in AI systems, epitomized by the widespread adoption of OpenAIs ChatGPT, despite inherent imperfections. This acknowledgment underscores the evolving societal acceptance of AI technologies, despite ongoing challenges and uncertainties.
Through strategic investments and collaborative partnerships, Google aims to shape the future of AI, unlocking unprecedented possibilities and driving societal progress on a scale never before imagined. As the journey towards artificial general intelligence unfolds, the world watches with bated breath, eager to witness the transformative power of AI technology in reshaping our collective future.
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DeepMind CEO Announced Google's Plan to Invest Over $100B in AI - Blockchain Council