Ai

As AI dominates tech headlines and corporate strategies in 2024, an important distinction is being blurred - the difference between developing AI versus consuming AI services. This mischaracterization risks confusing the market and overselling capabilities, but that isn’t anything new right? Take zero-trust, cloud computing, or even take a look back at the early-2000s with the web revolution. Urs Baumann tossed out a great questions in the Network Automation Forum - Slack recently, and I thought it would make for a good blog (or maybe venting session depending on how you look at it). Remember, these are opinions.

The foundation of high-performance computing that powers artificial intelligence lies not just in powerful GPUs, but in the intricate web of connections between them. As models grow exponentially in size and complexity, the networking infrastructure that facilitates their training has become a critical bottleneck. This has sparked a fascinating race to develop networking solutions tailored for AI-centric workloads, with tech giants like NVIDIA who are on an infrastructure trailblazing marathon.

Sometimes, especially if you aren’t a developer by trade, you can get stuck on something small that will find you banging your forehead on your desk (figuratively, of course). Most of the time, it is easy enough to find an answer online or even from ChatGPT. Other times, you may not be so lucky. The other day, I fell victim to a TWE or time wasting event that I thought was worth writing about. Fasten your seatbelt!

I recently wrote a blog about generating Terraform with ChatGPT. In that experiment, I was using GPT-3.5. It didn’t take much to trip up the galactic AI in many of the experiments I did with Terraform and beyond. According to OpenAI GPT-4 soars past its predecessor in its advanced reasoning capabilities. Let’s use this model to build code in Python and Go. How will the super titan fair in the Sysadmin arena? Let’s take on some tedious backend work head-on with the biggest brain around and see what happens.

Usually, when it comes to technology, my grandmother doesn’t know much because she doesn’t care. What is the cloud? How to install a new browser on her laptop? What is 2FA? I might be speaking French to her as I discuss these things. Yet, she knows what ChatGPT is. This shows the vast amount of publicity, hype, and polarization that has ensued since November 2022. I tend to avoid AI fear-mongering and focus more on, how could a tool like this help enhance my daily grind? Can ChatGPT write Terraform as elegantly as a poem written from the perspective of Samuel L. Jackson in Pulp Fiction? Let’s take it for a spin on AWS using infrastructure-as-code.