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Google’s Genie 2 “world model” reveal leaves more questions than answers

Ars Technica - All content · Kyle Orland · last updated

In March, Google showed off its first Genie AI model. After training on thousands of hours of 2D run-and-jump video games, the model could generate halfway-passable, interactive impressions of those games based on generic images or text descriptions.

Nine months later, this week’s reveal of the Genie 2 model expands that idea into the realm of fully 3D worlds, complete with controllable third- or first-person avatars. Google’s announcement talks up Genie 2’s role as a “foundational world model” that can create a fully interactive internal representation of a virtual environment. That could allow AI agents to train themselves in synthetic but realistic environments, Google says, forming an important stepping stone on the way to artificial general intelligence.

But while Genie 2 shows just how much progress Google’s Deepmind team has achieved in the last nine months, the limited public information about the model thus far leaves a lot of questions about how close we are to these foundational model worlds being useful for anything but some short but sweet demos.

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Related Knowledge Center: Climate economics

State of Play

Climate change is now a driver of the world’s economy. The impact is profound:

  • Catastrophic weather events — hurricanes, floods, droughts, high temperatures — are more frequent and more extreme. The cost can be measured in both the initial damage caused and the longer-term impact on the economy.
  • Vulnerable communities are increasing climate-related investments, hardening infrastructure and taking other protective measures.
  • Investment in carbon capture and storage technologies is increasingly rapidly.
  • Governments are making investments and crafting regulations to reduce emissions of carbon dioxide and other greenhouse gases. 

On top of all of this is the cost of uncertainty. As the Fourth National Climate Assessment, released in 2018 by the U.S. Global Change Research Program, says, “The assumption that current and future climate conditions will resemble the recent past is no longer valid.”

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