Why AI is having an on-prem moment (Ep. 476)
The home team discusses Instagram’s evolving platform, why AI and machine learning startups are moving their workloads off the cloud and on-premises, and the privacy implications of robotic vacuums.
Learn why some companies are moving AI and ML data and models off the cloud and back on premises.
Oxide is a rack-scale server with tightly integrated hardware and software. Cofounder and Chief Product Officer Jessie Frazelle was an early core maintainer of Docker. You can find her on GitHub or LinkedIn.
Check out FauxPilot, a locally hosted version of GitHub Copilot.
It’s no secret that Instagram has made changes to its feed, emphasizing video content in an effort to compete with TikTok. Nor is it a secret that these changes have proved unpopular with creators, from Kylie Jenner to independent photographers and other artists. Just another reminder that these platforms are rarely for creators; they’re built to generate revenue.
What Amazon’s acquisition of iRobot (of Roomba fame) might mean.
Earthships are sustainable dwellings constructed from recycled and natural materials. Built for off-the-grid living, they use thermal and solar power, harvest rainwater, and often incorporate gardens to supplement food supply.
Today’s Lifeboat badge goes to user SILENT for their answer to the question In React and Next.js constructor, I am getting “Reference Error: localstorage is not defined”.ai, instagram, ML, the stack overflow podcast
Going on-prem (🤮 why do we make up such phrases) was inevitable.
It’s the next step in the thick client -> thin client cycle that’s been going on since mainframes were invented.
The transcript link leads to a 404 page
The transcript is here https://the-stack-overflow-podcast.simplecast.com/episodes/why-ai-is-having-an-on-prem-moment/transcript