Trump’s pressure on Apple to make All-American phones ignores the last tech giant that tried and failed - If no one wants the product, it doesn’t matter where it’s made. // “In the end, Motorola’s failed U.S. adventure had little to do with where the Moto X was assembled, by all accounts. The phone simply didn’t sell well enough to justify a U.S. assembly line."
Musings on The AI Con - “ask more questions of those pushing AI into everything. What, specifically, is the goal? What is supposed to be automated by the new tool? What are its inputs and outputs supposed to be? What does success look like, exactly? What would count as failure to achieve the goal?"
Arriving at ‘Hello World’ in enterprise AI - The (slow) nature of digital transformation hits AI like a sack of bricks in the face. The brick avoidance techniques are the same as always, a duel approach: (1) sell a “business outcome” to execs, a measurable improvement to either making money or cutting costs (2) enable developers to smuggle in AI that is then more costly to get rid of than to accept. Each takes years to build up to big revenue. Is this bad? Not for the enterprise natives.
VMware Tanzu CIO Checklist for Safer and More Scalable AI Application Delivery - If you’re doing some enterprise AI strategamagizing, here is a good list of things to ponder and pester your direct reports about.
Frequently Asked Questions (And Answers) About AI Evals - “the projects we’ve worked on, we’ve spent 60-80% of our development time on error analysis and evaluation. Expect most of your effort to go toward understanding failures (i.e. looking at data) rather than building automated checks."
A consumption basket approach to measuring AI progress - “In contrast, actual human users typically deploy AIs to help them with relatively easy problems. They use AIs for (standard) legal advice, to help with the homework, to plot travel plans, to help modify a recipe, as a therapist or advisor, and so on. You could say that is the actual consumption basket for LLM use, circa 2025.” // Also, interesting aside that maybe AI is as good as it’ll get (in a good way).