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Amazon To Test AI-Created Material For Carbon Capture In Data Centers

Amazon is stepping up its environmental efforts by testing a groundbreaking carbon-removal material for its data centers. The company, which is tackling the growing emissions linked to the artificial intelligence systems powering these centers, has partnered with Orbital Materials, a startup that used AI to design the innovative substance.

Jonathan Godwin, CEO of Orbital Materials, explained that the new material acts like an atomic-level sponge, with cavities precisely sized to capture CO2 without interacting with other elements. This targeted approach could be a game-changer in carbon filtration.

One of the appealing aspects of the new material is its cost-effectiveness. Godwin estimates that the material could account for just 10% of the cost associated with renting a GPU chip for AI training, significantly less than the price of traditional carbon offsets.

Meanwhile, the demand for energy in data centers is rising, as AI’s rapid development requires more power and cooling solutions. This surge poses a challenge for Amazon, which is committed to achieving net-zero carbon emissions by 2040.

Amazon Web Services (AWS), the world’s largest cloud provider by revenue, plans to begin piloting the AI-designed carbon removal material in one of its data centers starting in 2025. This initiative is part of a three-year collaboration with Orbital, which will also gain access to AWS’s technology and open-source AI tools for further development.

Howard Gefen, General Manager of AWS Energy & Utilities, stated that the partnership would promote sustainable innovation, but financial details remain undisclosed. Orbital, with offices in Princeton, New Jersey, and London, began its journey about a year ago by setting up a lab to synthesize AI-designed materials. The startup aims to work with AWS to test additional AI-generated solutions, addressing water usage and cooling requirements in data centers. Godwin co-founded Orbital, which currently employs 20 people and is supported by investors such as Radical Ventures and Nvidia’s venture arm. Before this, Godwin contributed to materials science work at Alphabet’s DeepMind until 2022.

Meta Launches AI Personal Agent With Subscriptions Starting At $20

Meta has launched a new AI personal agent app and is already asking some users to pay for it, as the company seeks to turn its AI investment into a new business line.

Developed under the internal code name Hatch, the app is powered by Meta’s Muse Spark family of foundation models. It can handle everyday tasks including booking appointments, completing online forms and monitoring home security camera feeds.

Meta Targets A Simple User Experience

Meta AI chief Alexandr Wang said Muse is designed to keep the user experience simple while handling complex tasks in the background.

“Behind the scenes, Muse might be doing very advanced coding workflows, or building sophisticated integrations, or doing quite a lot of heavy lifting while keeping that very sort of simple for the user,” Wang told CNBC.

Muse will offer a free tier and monthly plans costing $20 and $100, depending on usage. The pricing reflects Meta’s effort to build recurring AI revenue alongside advertising.

Zuckerberg Bets On Personal AI Agents

CEO Mark Zuckerberg has identified personal AI agents as a potential next stage of artificial intelligence and a source of future products and revenue. That strategy is driving continued spending on data centers and AI infrastructure as Meta bets that assistants capable of managing emails, finding deals and handling routine tasks will become mainstream.

Launch Comes Amid Legal And Industry Scrutiny

Muse arrives as Meta faces continued legal scrutiny. The company recently agreed to pay nearly $17 billion in a settlement with a coalition of state attorneys general over allegations involving harm on Facebook and Instagram, while additional lawsuits from personal injury plaintiffs and school districts remain pending.

Across the AI industry, regulators and security experts are also examining cybersecurity risks associated with autonomous agents and their underlying models. Data center expansion and questions over AI profitability are adding further pressure on major technology companies.

Meta Seeks A Payoff From AI Spending

Wall Street is pressing Meta to show that its AI investments can produce durable returns as the company remains heavily dependent on advertising while expanding into subscriptions and commerce.

Muse joins Meta’s broader AI portfolio, including the Muse Code developer agent and subscription offerings tested in recent months. Together, they point to a strategy of building a commercial AI services business rather than treating AI products as standalone experiments.

Security, Privacy And Commerce

Meta says Muse operates in an isolated environment and does not access users’ actual passwords or payment details. The agent asks for approval before sensitive actions, while third-party researchers can test the product through a bug-bounty program.

Users can opt out of having their Muse interactions used to train Meta’s models. For those who remain opted in, Meta says it will remove critical personally identifying information before using the data, according to David Singleton, Meta’s vice president of engineering.

Commerce could provide another revenue source. Wang said Meta is considering taking a share of shopping transactions completed through the agent, although no final business model has been decided.

Muse Expands Across Meta’s Ecosystem

US consumers will be able to access Muse on iOS, Android and a standalone website, with plans to bring it to Ray-Ban Meta glasses.

The service will compete with personal-agent products from OpenAI, Google and newer startups. Wang acknowledged that the market remains at an early stage, saying, “It’s pretty early in this new era of personal agents.”

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