April 5, 2022
March was a busy month, especially for developers working with GPT-3. After surprising everybody with its ability to write code, it’s not surprising that GPT-3 is appearing in other phases of software development. One group has written a tool that creates regular expressions from verbal descriptions; another tool generates Kubernetes configurations from verbal descriptions. In his newsletter, Andrew Ng talks about the future of low-code AI: it’s not about eliminating coding, but eliminating the need to write all the boilerplate. The latest developments with large language models like GPT-3 suggest that the future isn’t that distant.
On the other hand, the US copyright office has determined that works created by machines are not copyrightable. If software is increasingly written by tools like Copilot, what will will this say about software licensing and copyright?
Artificial Intelligence
- An unusual form of matter known as spin glass can potentially allow the implementation of neural network algorithms in hardware. One particular kind of network allows pattern matching based on partial patterns (for example, face recognition based on a partial face), something that is difficult or impossible with current techniques.
- OpenAI has extended GPT-3 to do research on the web when it needs information that it doesn’t already have.
- Data-centric AI is gaining steam, ...
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