Tech companies need to provide more data about the climate impact of their products. We should try to come up with ways to use more energy efficient methods, such as fine tuning existing models, in order to shift away from being obsessed with building ever- bigger artificial intelligence models.
There is a new effort to fight climate change with artificial intelligence.
The MIT Technology Review got a peek at Tidal, a new climate change mitigation project by X, the moonshot division of Google. The carbon stored in the oceans is tracked using cameras, computer vision, and machine learning. It is part of an effort to better understand the underwater environment in order to inform and incentivize efforts to protect the oceans.
X is creating tools to ensure that industries can do more to address environmental dangers and that they can survive in a hotter, harsher world. It draws heavily on its parent company's strengths, including its ability to derive insights from massive amounts of data using artificial intelligence. James Temple wrote about it.
The billionaire laid off half the company's staff, including machine-learning teams working to ensure that the platform's infrastructure is safe, secure, and reliable. Those let go were the ethical-ai team and those who worked on infrastructure. The site was almost immediately broken down. We talked to a former engineer about how it will work.
In the first class action lawsuit in the US on the training of artificial intelligence systems, Microsoft, GitHub, and Openai are being sued for allegedly violating copyright law by reproducing open- source code using artificial intelligence. Like large language models, Copilot regurgitates what it has gathered in its database without crediting the original source. A lawsuit challenging the legality of this model could have major knock-on effects for other artificial intelligence systems that are trained by the internet.
The series unpacks some of the problematic narratives surrounding the race for artificial intelligence between the US and China.
The new robot, named Sparrow, can pick up items in shelves or bins so that they can be packed into boxes. There are so many different kinds of objects that it's hard for a robot to figure them out. Machine learning and cameras are used to identify objects. It could speed up warehouse operations.
Supermodel generator
A new text-to-image AI called Aperture is reportedly about to drop this week from Lexica, and it seems to be able to generate very realistic-looking photos of supermodels. I’m very curious to see this model in action, because other popular image-generating AIs, such as DALL-E and Stable Diffusion, struggle to generate fingers and hands, as well as human faces that don’t look as if they have melted in the sun.
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