"If you want to increase the valuation of your company, just put some AI feature on it and watch the sharks come to you. There's a lot of influencers saying things like, you're going to miss out if you don't do this thing. There's a lot of stuff on LinkedIn and X that can be annoying. Anyone annoyed with AI here today? This talk is not that. I just want to be very clear."
"We're going to talk about AI. We're going to look at AI yesterday. We're going to look at AI today. We're going to look at AI tomorrow. Let's start right at the beginning and talk about AI from yesterday. I don't mean yesterday, I mean, where did it start? I think this is important, because there's a lot of companies making a lot of money off the term AI."
A developer relations engineer at IBM works on AI solutions and accessibility, including offerings such as watsonx and internal models like GPT-5. Making AI accessible to developers enables building revolutionary technology. Emphasis lies on applying science and reason rather than hype, marketing, or fearmongering. Social platforms and influencers often inflate expectations and pressure companies to add AI features to boost valuation. Model Context Protocol (MCP) is introduced as a practical consideration. Examining AI's past, present, and future is essential because AI development is longstanding and not a recent invention.
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