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For the past few years, the conversation around AI has focused on the technology. Which model is best. Which tools to use. How fast everything is changing. But once you start building with it, a different challenge emerges. The technology is often the easy part. The hard part is everything else. ...
For years, Rob had a pretty good system. When a new technology showed up, he didn't immediately declare it the next big thing. He wanted to understand why it mattered first. Sometimes that meant jumping in early, like he did with Power BI. Other times, it meant waiting until the signal was stron...
For about two years, we've all been reaching for the biggest hammer on the wall because someone else was paying for the nails. If you were on a subscription, you grabbed the biggest, baddest model on the menu and used the crap out of it. Two hundred dollars a month for work that would have cost t...
Microsoft just unveiled a monster of a machine built for local AI. More memory. More horsepower. More everything. Which led Rob and Justin to a question that has almost nothing to do with the hardware. Are we already using more AI than the job actually requires? This conversation starts with M...
AI headlines have already moved on to the deep end. Most businesses haven't. Every week brings another headline about what's next for AI. Build your own model. Train your own LLM. Customize everything. It's exciting, unless you're one of the thousands of companies still trying to answer a much s...
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