Google DeepMind is paying for a permanent public space where anyone can walk in and learn about AI. It opens this December at Platform 37, 6 King’s Boulevard, King’s Cross, London. Free entry, open every day of the week. The venue is called the AI.Exchange, and its first season is an exhibition titled “Intelligences.”

The site’s own accounting of the funding is unusually frank: “Google DeepMind pays the bills, because when a new technology changes everything, the conversation about it should really belong to everyone, too.” Whether that makes the conversation independent is the question this post keeps circling.

What it is

Per aiexchange.space, the AI.Exchange bills itself as “a space to explore the creativity, science and big questions behind AI” — part gallery, part workshop, aimed at “educators and engineers, artists and scientists” and “people who’ve never heard of a neural network, and for people who’ve built one.” Programming includes free talks, immersive exhibitions, and hands-on workshops. It closes only December 24–26.

Season 1, “Intelligences,” takes up the question “What is intelligence?” — framed as a 150-year debate spanning animal, human, and machine intelligence, plus AGI, which the site notes “doesn’t exist yet, so now’s the time to get acquainted.” Two highlighted exhibits: an AI-sculpted stone goddess built from patterns an AI found in prehistoric goddess figures, and Senegal’s lost flowers, regenerated by AI from incomplete historical records.

The lineup

Nine artists and studios are named on the site: Anna Ridler, Liquid City, DeeKay, Hermine Bourdin, Preloaded, Linda Dounia Rebeiz, Mr Gee with Mann Bros, Tellart, and Tomo Kihara with Playfool.

Two of those names come out of the crypto art world directly:

  • Linda Dounia Rebeiz (@lindadounia on Farcaster) trained generative models on her own garden imagery — the “Once Upon a Garden” line of work about ecology and loss. Her AI.Exchange piece continues that thread: rebuilding Senegal’s lost flowers from incomplete archives.
  • DeeKay rose through the NFT animation boom of 2021.

Anna Ridler is the third name worth sitting with. She built her early reputation by hand-photographing 10,000 tulips into a dataset and mapping it to Bitcoin’s price — a piece Bloomberg described in 2019 as “a ‘poetic’ statement on the cryptocurrency market.” Her practice has been a sustained interrogation of how datasets are made and what classifications quietly decide. She has shown at the V&A and the Centre Pompidou, and spent April–August 2026 at Oxford’s Schwarzman Centre with “A Perfect Language of Images.” A critical-dataset artist, inside a room funded by the lab that builds frontier models.

Why it matters

Lab-funded AI exhibition is not new — the Barbican’s “AI: More than Human” (2019) featured DeepMind research alongside Ridler commissions. What is new is the commitment shape: not a temporary show but a permanent, daily, free civic venue in a major city, with the funding company’s name on the bill-payer line.

This also connects to a thread Right Click Save has been pulling all month. Their October 9 newsletter frames the whole thing as “AI is the subject. Exchange is the point” — arguing that thriving digital art scenes are patchworks of artist-centered micro-communities, and closing with: “an ecosystem only holds together if the people making the work are the ones it’s actually built around.” Whether a corporate-funded civic space can be built around its artists the way LI-MA or NODE are is an open test.

For the crypto art world specifically: two of its artists are in the inaugural lineup of DeepMind’s public-facing project. That is a visibility milestone for people who trained their own models on their own gardens — and it lands just as the institutional AI-art circuit (Schwarzman, Serpentine’s FAE fellowship, the V&A’s Molnar show) keeps absorbing practitioners whose work questions exactly these systems.

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