From the blog
We needed to remove the dependency on the Sites database and contain all Teams infrastructure and data within the TFZ which is all part of Phase II.
The home team chats with Gašper Beguš, director of the Berkeley Speech and Computation Lab, about his research into how LLMs—and humans—learn to speak. Plus: how AI is restoring a stroke survivor’s ability to talk, concern over models that pass the Turing test, and what’s going on with whale brains.
Ben and friend of the show Kyle Mitofsky sit down with Reid Robinson, lead product manager for AI at Zapier, for a conversation about AI and automation. Plus: NFTs and the dog behind the doge.
Deploying ML models is the new frontier for software development, but there are challenges. From managing compute resources and security to reproducibility and continuous training, building AI/ML into your application requires a new approach.
It's like saying you're running a marathon for the free water stations.
In which our asker is skeptical of Russell's claim and promptly collapses into a paradox.
Before I give you this magic wand, you've got to pinky swear that you won't do bad things with it.
Sure, your kids are proud of their work, but the math is wrong.
Links from around the web
This is a very deep dive into how one developer recreated a popular website layout with modern CSS practices!
Perhaps our methods of measuring productivity aren't the best ways to measure a teammate.
People often address accessibility at the end of the project rather than from the very beginning.
A lot of tech exists within a "walled garden." Is that how things should be?
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