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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.

Spotify To Label AI-Generated Artist Identities And Limit Their Reach

Spotify is introducing a new “AI Persona” label for artist profiles that appear to represent AI-generated identities, while limiting how music from those profiles is surfaced across the platform.

The new labels will begin appearing in September, as Spotify expands its efforts to distinguish between real artists, AI-generated identities and music created with AI tools.

What The AI Persona Label Means

Artists will be able to identify themselves as AI Personas through Spotify for Artists starting August 11. However, Spotify said it will not rely solely on self-disclosure.

The company will also review artist profiles where names and images appear to depict photorealistic AI-generated identities. The initial review will focus on profiles that have reached predefined audience thresholds, allowing Spotify to prioritise more widely heard artists.

Once applied, the “AI Persona” badge will be visible on artist profiles, in Search and alongside tracks in playlists.

AI Personas Will Be Excluded From Recommendations

By default, Spotify will not include labeled AI Personas in its editorial or algorithmic recommendations. Their music will also be excluded from personalised recommendations.

There is one exception: users who deliberately follow an AI Persona can still receive its music in their recommendations. Spotify considers following an artist an explicit indication that a listener wants to hear more from that profile.

The company will also introduce a reporting tool that allows users to flag profiles they believe represent AI Personas but have not yet been labeled.

The Label Applies To The Artist, Not The Music

Spotify stressed that the new designation concerns an artist’s public identity rather than whether their music was made using AI.

Artists can use AI in different ways as part of the creative process, and the company will continue providing information about how individual tracks were created through features such as AI Credits and SongDNA.

Artists will also be able to appeal an AI Persona label if they believe it has been applied incorrectly.

Spotify Tightens Its Approach To AI Music

The new policy builds on Spotify’s broader efforts to address AI-generated content. The company previously introduced systems to identify and label AI music using industry-standard techniques and banned unauthorised AI voice clones and deepfakes.

At the same time, Spotify continues to develop AI-powered products, including Prompted Playlists, AI DJ and its AI-powered music assistant.

The company is also preparing to introduce AI-generated remixes and covers following recent licensing agreements with UMG and Merlin. The new AI Persona labels are intended to help users distinguish those features from profiles that present themselves as AI-generated artists.

Spotify’s move comes as the music industry grapples with the rapid growth of AI-generated content and concerns about low-quality material flooding streaming platforms.

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