Welcome to episode 260 of the Cloud Pod podcast – where the forecast is always cloudy! This week your hosts Justin, Matthew, and Jonathan and Ryan are talking about changes in leadership over at Amazon, GPT-4.o and its image generating capabilities, and the new voice of Skynet, Amazon Polly! It’s an action packed episode – and make sure to stay tuned for this week’s after show.
Titles we almost went with this week:
- Who eats pumpkin pie in May
- Bytes and Goodbyes: AWS CEO Logs Off
- AWS lets you know that you are burning money sooner than before
- High-Ho, High-Ho, It’s GPT-4-Ohhh
- The CloudPod pans for nuggets in the AI Gold rush
A big thanks to this week’s sponsor:
Big thanks to Sonrai Security for sponsoring today’s podcast! Check out Sonrai Securities’ new Cloud Permission Firewall. Just for our listeners, enjoy a 14 day trial at https://sonrai.co/cloudpod
General News
00:40 Terraform Enterprise adds Podman support and workflow enhancements
- The latest version of Terraform Enterprise now supports Podman with RHEL 8 and above.
- Originally, it only supported Docker Engine and Cloud Managed K8 services.
- With the upcoming EOL of RHEL 7 in June 2024, customers faced a lack of an end-to-end supported option for running a terraform enterprise on RHEL.
- Now, with support from Podman, this is rectified.
01:18 Ryan – “This is for the small amount of customers running the enterprise either on -prem or in their cloud environment. It’s a pretty good option. Makes sense.”
01:42 Justin – “You know, the thing I was most interested in at this actually is that Red Hat Linux 7 is now end of life, which this is my first time in my entire 20 some odd career that I’ve never had to support Red Hat Linux in production because we use Ubuntu for some weird reason, which I actually appreciate because I always like Ubuntu best for my home projects, but I didn’t actually know Red Hat 7 was going away.”
AI Is Going Great (Or, How ML Makes All It’s Money)
03:58 Hello GPT-4o
- Open AI has launched their GPT-4o (o for Omni) model which can reason across audio, vision and text in real time.
- The new model can accept input combinations of text, audio and image and generates any combination as output. It can respond to audio inputs in as little as 232 milliseconds, with an average of 320 milliseconds, similar to human response time in conversation.
- It matches GPT-4 Turbo performance on text in English and OCDE, with significant improvements on text in non-english languages, while also being much faster and 50% cheaper in the API.
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