
Bigger AI models promise more capabilities, but do they always deliver better results?
Six Feet Up Field CTO and AWS Hero Chris Williams joined host Kevin Evans on the Code to Cloud podcast to discuss why smaller AI models deserve attention, where AI makes sense, and why engineering judgment matters more than hype.
Drawing on decades of experience in infrastructure, security, and enterprise architecture, Chris shared a practical perspective on AI adoption.
Large, cloud-based AI models aren't the only option. Chris is experimenting with smaller, locally hosted models that can perform specialized tasks without the cost and infrastructure demands of frontier models.
Advances in quantization, distillation, and model efficiency are making smaller models increasingly capable.
Chris described how specialized models for voice recognition, captioning, and thumbnail creation could be combined into a workflow that runs tasks sequentially on local hardware.
The takeaway: Consider whether smaller, task-specific models can deliver the capabilities you need with lower costs and greater control.
Chris has experienced several major technology shifts, from virtualization to cloud computing. But AI has introduced an unusual debate: the expectation that people must be either for it or against it.
"It has its uses in certain areas, and it has places where you absolutely never want to use it," said Chris.
AI can accelerate research, support learning, and improve productivity. However, nondeterministic models aren't appropriate for every application, particularly systems that require predictable, repeatable results.
The takeaway: Start with the problem, not the technology. AI should earn its place in your architecture.
Chris also shared why he joined Six Feet Up: the opportunity to apply technology to challenges that matter. After nearly a decade of collaborating with the team, he was drawn to the company's mission to complete 100 IMPACTFUL Projects™ by 2033.
He highlighted applications ranging from medical research to environmental monitoring, including Six Feet Up's work with machine learning for lightning prediction.
For Chris, the value of AI isn't measured by model size or the latest breakthrough. It's measured by what the technology makes possible.
The takeaway: The best technology investments aren't driven by hype. They're driven by measurable value and meaningful outcomes.
AI adoption doesn't have to mean chasing the newest model or building increasingly complex systems. It means understanding the problem, evaluating the tradeoffs, and choosing technology that delivers reliable results at a cost that makes sense.
Hear Chris discuss AI, local models, his journey from infrastructure to Field CTO, and why he joined Six Feet Up in From Certifications to Field CTO: A Developer's Journey Through Tech & AI.
Explore Six Feet Up’s AI capabilities.