Humans are good at analyzing things. Machines are even better. Machines can analyze a set of data and find patterns in it for a multitude of use cases, whether it’s fraud or spam detection, forecasting the ETA of your delivery or predicting which TikTok video to show you next. They are getting smarter at these tasks. This is called “Analytical AI,” or traditional AI.
But humans are not only good at analyzing things—we are also good at creating. We write poetry, design products, make games and crank out code. Up until recently, machines had no chance of competing with humans at creative work—they were relegated to analysis and rote cognitive labor. But machines are just starting to get good at creating sensical and beautiful things. This new category is called “Generative AI,” meaning the machine is generating something new rather than analyzing something that already exists.
Generative AI is well on the way to becoming not just faster and cheaper, but better in some cases than what humans create by hand. Every industry that requires humans to create original work—from social media to gaming, advertising to architecture, coding to graphic design, product design to law, marketing to sales—is up for reinvention. Certain functions may be completely replaced by generative AI, while others are more likely to thrive from a tight iterative creative cycle between human and machine—but generative AI should unlock better, faster and cheaper creation across a wide range of end markets. The dream is that generative AI brings the marginal cost of creation and knowledge work down towards zero, generating vast labor productivity and economic value—and commensurate market cap. Read More
Daily Archives: October 7, 2022
Policing in the metaverse: what law enforcement needs to know
The metaverse has been described as the next iteration of the internet. This report provides a first, law enforcement-centric outlook at current developments on the topic, potential implications for law enforcement, as well as key recommendations as to what the law enforcement community could do to prepare for the future. This report aims to help police chiefs, law enforcement agencies and policy makers to begin to grasp this new environment so that they can adapt and prepare for policing in the metaverse.
This is the latest report produced by the Observatory Function of the Europol Innovation Lab. The Observatory Function monitors technological developments that are relevant for law enforcement and reports on the risks, threats and opportunities of these emerging technologies. Read More
AI Data Laundering: How Academic and Nonprofit Researchers Shield Tech Companies from Accountability
Yesterday, Meta’s AI Research Team announced Make-A-Video, a “state-of-the-art AI system that generates videos from text.”
Like he did for the Stable Diffusion data, Simon Willison created a Datasette browser to explore WebVid-10M, one of the two datasets used to train the video generation model, and quickly learned that all 10.7 million video clips were scraped from Shutterstock, watermarks and all.
XIn addition to the Shutterstock clips, Meta also used 10 million video clips from this 100M video dataset from Microsoft Research Asia. It’s not mentioned on their GitHub, but if you dig into the paper, you learn that every clip came from over 3 million YouTube videos.
So, in addition to a massive chunk of Shutterstock’s video collection, Meta is also using millions of YouTube videos collected by Microsoft to make its text-to-video AI. Read More
An Open Letter to the Robotics Industry and our Communities,
General Purpose Robots Should Not Be Weaponized
We are some of the world’s leading companies dedicated to introducing new generations of advanced mobile robotics to society. These new generations of robots are more accessible, easier to operate, more autonomous, affordable, and adaptable than previous generations, and capable of navigating into locations previously inaccessible to automated or remotely-controlled technologies. We believe that advanced mobile robots will provide great benefit to society as co-workers in industry and companions in our homes.
…We pledge that we will not weaponize our advanced-mobility general-purpose robots or the software we develop that enables advanced robotics and we will not support others to do so. When possible, we will carefully review our customers’ intended applications to avoid potential weaponization. We also pledge to explore the development of technological features that could mitigate or reduce these risks. To be clear, we are not taking issue with existing technologies that nations and their government agencies use to defend themselves and uphold their laws. Read More
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