Radar Trends to Watch: September 2022
It’s hardly news to talk about the AI developments of the last month. DALL-E is increasingly popular, and being used in production. Google has built a robot that incorporates a…
It’s hardly news to talk about the AI developments of the last month. DALL-E is increasingly popular, and being used in production. Google has built a robot that incorporates a…
In a recent Radar piece, I explored N-sided marketplaces and the middlemen who bring disparate parties together. One such marketplace is the world of advertising, in which middlemen pair hopeful…
In a previous article, I wrote about how models like DALL-E and Imagen disassociate ideas from technique. In the past, if you had a good idea in any field, you…
Humans are notoriously poor at judging distances. There’s a tendency to underestimate, whether it’s the distance along a straight road with a clear run to the horizon or the distance…
The metaphors we use to describe new technology constrain how we think about it, and, like an out-of-date map, often lead us astray. So it is with the metaverse. Some…
The large model train keeps rolling on. This month, we’ve seen the release of Bloom, an open, large language model developed by the BigScience collaboration, the first public access to…
Data scientists working in Python or R typically acquire data by way of REST APIs. Both environments provide libraries that help you make HTTP calls to REST endpoints, then transform…
There’s a puzzling disconnect in the many articles I read about DALL-E 2, Imagen, and the other increasingly powerful tools I see for generating images from textual descriptions. It’s common…
This month, large models are even more in the news than last month: the open source Bloom model is almost finished, Google’s LaMDA is good enough that it can trick…
Last year, our report on cloud adoption concluded that adoption was proceeding rapidly; almost all organizations are using cloud services. Those findings confirmed the results we got in 2020: everything was “up and…
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