In the beginning (of generative AI)

This week on The Changelog we’re talking with Joe Reis about data engineering and the beginning of generative AI. We discuss, phone hacking via frequency, the role of a data engineer, this AI hype cycle we’re in, build vs buy, the disconnect between data analysts and the business, ethical considerations around AI-generated content, and more. We also discuss the tension between AI and traditional engineering, as well as the inevitability of AI integration into pretty much everything.

Leave us a comment

Changelog++ members save 11 minutes on this episode because they made the ads disappear. Join today!

Sponsors:

• Synadia – Take NATS to the next level via a global, multi-cloud, multi-geo and extensible service, fully managed by Synadia. They take care of all the infrastructure, management, monitoring, and maintenance for you so you can focus on building exceptional distributed applications.
• Tailscale – Adam loves Tailscale! Tailscale is programmable networking software that’s private and secure by default. It’s the easiest way to connect devices and services to each other, wherever they are. Secure, remote access to production, databases, servers, kubernetes, and more. Try Tailscale for free for up to 100 devices and 3 users at changelog.com/tailscale, no credit card required.
• Read Write Own – Read, Write, Own: Building the Next Era of the Internet—a new book from entrepreneur and investor Chris Dixon—explores one possible solution to the internet’s authenticity problem: Blockchains. From AI that tracks its source material to generative programs that compensate—rather than cannibalize—creators. It’s a call to action for a more open, transparent, and democratic internet. One that opens the black box of AI, tracks the origins we see online, and much more. Order your copy of Read, Write, Own today at readwriteown.com
• Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs.

Featuring:

• Joe Reis – Website
• Adam Stacoviak – Mastodon, Twitter, GitHub, LinkedIn, Website
• Jerod Santo – Mastodon, Twitter, GitHub, LinkedIn

Show Notes:

• Data Engineering in 2024. What I’m Seeing.
• The Salt Shaker Theory of Leadership

Something missing or broken? PRs welcome!

Episode source