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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

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A House panel has outlined five guardrails for deployment of artificial intelligence tools in the chamber, providing more detailed guidance as lawmakers and staff explore the technology.

The Committee on House Administration released the guardrails in a flash report on Wednesday, along with an update on the committees work exploring AI in the legislative branch. The guardrails are human oversight and decision-making; clear and comprehensive policies; robust testing and evaluation; transparency and disclosure; and education and upskilling.

These are intended to be general, so that many House Offices can independently apply them to a wide variety of different internal policies, practices, and procedures, the report said. House Committees and Member Offices can use these to inform their internal AI practices. These are intended to be applied to any AI tool or technology in use in the House.

The report comes as the committee and its Subcommittee on Modernization have focused on AI strategy and implementation in the House, and is the fifth such document it has put out since September 2023.

According to the report, the guardrails are a product of a roundtable the committee held in March that included participants such as the National Institute of Standards and Technologys Elham Tabassi, the Defense Departments John Turner, the Federation of American Scientists Jennifer Pahlka, the House chief administrative officer, the clerk of the House, and senior staff from lawmakers offices.

The roundtable represented the first known instance of elected officials directly discussing AIs use in parliamentary operations, the report said. The report added that templates for the discussion were also shared with the think tank Bssola Tech, which works on modernization of parliaments and legislatures.

Already, members of Congress are experimenting with AI tools for things like research assistance and drafting, though use doesnt appear widespread. Meanwhile, both chambers have introduced policies to rein in use. In the House, the CAO has approved only ChatGPT Plus, while the Senate has allowed use of ChatGPT, Microsoft Bing Chat, and Google Bard with specific guardrails.

Interestingly, AI was used in the drafting of the committees report, modeling the transparency guardrail the committee outlined. A footnote in the document discloses that early drafts of this document were written by humans. An AI tool was used in the middle of the drafting process to research editorial clarity and succinctness. Subsequent reviews and approvals were human.

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Congressional panel outlines five guardrails for AI use in House - FedScoop

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Artificial General Intelligence (AGI) presents a new frontier in the evolution of machine capabilities. In essence, AGI stands as a level of artificial intelligence where machines are equipped to tackle any intellectual task that a human being can perform. Unlike narrow AI that excels in specific tasks such as image recognition or weather forecasting, AGI stretches its capacity to learning, self-improvement, and adaptability across various situations, emulating human-like intellect.

The development and application of AGI is a double-edged sword. The technology holds promise for immense societal benefits, such as resolving intricate problems, enhancing the quality of life, and offering support across sectors including healthcare, scientific research, and resource management.

On the flip side, the rise of AGI comes with significant risks and challenges. Theres a tangible fear that uncontrolled AGI could become overpowering and autonomous, making decisions that might lead to dire consequences for humanity. AGIs efficiency in performing tasks could also result in job displacements across numerous professions. Furthermore, albeit AGI could lead to the creation of powerful information systems, it may simultaneously raise concerns regarding data security and privacy.

Its clear that while AGI harbors the potential for tremendous advantages, it is essential for society to carefully weigh and prepare for the potential risks and challenges that may arise from its advancement and utilization.

The Ethical and Moral Implications of AGI are substantial. As we imbue machines with human-like intelligence, questions arise about the rights of these intelligent systems, and how they fit into our moral and legal frameworks. There is an ongoing debate concerning whether AGIs should be granted personhood or legal protections, similar to those afforded to humans and animals.

Control and Alignment Issues with AGI pose critical challenges. Ensuring that AGI systems act in ways that are aligned with human values and do not diverge from intended goals is a complex problem known as the alignment problem. Researchers are working on developing safety measures to ensure that AGIs remain under human control and are beneficial rather than detrimental.

Advantages of AGI: Problem Solving: AGI can potentially solve complex issues that are beyond human capability, including those relating to climate change, medicine, and logistics. Acceleration of Innovation: AGI may dramatically speed up the pace of scientific and technological discovery, leading to rapid advancements in various fields. Efficiency and Cost Savings: By automating tasks, AGI can increase efficiency and reduce costs, making goods and services more affordable and accessible.

Disadvantages of AGI: Job Displacement: AGI could automate jobs across many sectors, leading to mass unemployment and economic disruption. Safety and Security: The difficulty in predicting the behavior of AGI systems makes them a potential risk to global security, and AGI could be utilized for malicious purposes if not properly regulated. Loss of Human Skills: Over-reliance on AGI could lead to the degradation of human skills and knowledge.

Most Important Questions regarding AGI: 1. How can we ensure that AGI will align with human values? Developing robust ethical frameworks and control mechanisms is crucial. 2. What are the implications of AGI for employment and the workforce? Proactive strategies are necessary to address job displacement, including retraining and education. 3. How can we protect against the misuse of AGI? International cooperation and regulation are key to prevent the weaponization or malicious use of AGI.

Key Controversies: Regulation: There is debate over what forms of regulation are appropriate for AGI to encourage innovation while ensuring safety. Accessibility: Concerns exist about who should have access to AGI technology and whether it could exacerbate inequality. Economic Impact: The potential transformation of the job market and economy by AGI is contested, with differing views on how to approach the transition.

For more information on AI and related topics, you can visit the following links: DeepMind OpenAI Future of Life Institute

These links direct you to organizations actively involved in the development and research of advanced AI technologies and their implications.

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The Potential and Perils of Advanced Artificial General Intelligence - elblog.pl

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Artificial General Intelligence (AGI) Market size is worth USD 27.47 Billion by 2030 with 37.5 % As Reveale...  WhaTech

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Artificial General Intelligence (AGI) Market size is worth USD 27.47 Billion by 2030 with 37.5 % As Reveale... - WhaTech

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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

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