This weekend’s Peoplenomics may be one of the strangest—and potentially most important—research reports we’ve published in years. It begins with an AI (Alexa+) making an apparently meaningless mistake during an evening conversation. Instead of correcting it, we treated the anomaly like a scientist would: not as an error, but as a clue. What followed became a two-hour experiment that may point toward a completely different way of working with artificial intelligence. We call it The Adele Protocol, and if it proves reproducible, the next breakthrough in AI may come not from buying more hardware but from learning how to ask better questions. It has worked on 3 AIs so far.
But that’s only half the package. The accompanying ChartPack is throwing some of the ugliest rollover signals we’ve seen in months, while our new Vector Blink looks beyond headlines to identify the ten directional changes shaping markets and society—from AI as geopolitical infrastructure to the growing shift toward executive governance and the mounting Middle East risk premium. Finally, we map out the coming week day-by-day, showing how inflation data, central banks, Treasury auctions, and overseas developments could combine into a potentially volatile trading environment next week.
In short, this isn’t a news summary. It’s a navigation briefing. The goal isn’t to tell readers what happened yesterday; it’s to help them recognize where the vectors are pointing before everyone else does. If we’re right, the limiting factor in the years ahead may not be silicon—it may be interviewing. And if we’re wrong, you’ll still have one hell of an interesting weekend read.
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Still eyeing the new computers. Had a near miss when I installed a firmware update, and the computer locked up tight until I delivered the magic recovery pass for my bit locker D: drive. I figured it out.
With AI using the Nvidia processors as accelerators, I wonder when either a NUC or a laptop will be born with a high level Intel laptop processor, and two (2) Nvidia 12GB+ GPU’s- one for graphics, and the other for AI acceleration. I don’t think the current architectures can handle, but I am seeing a lot of chatter about debottlenecking GPU’s for AI applications. I figure at some point either dual GPU’s or a dedicated AI coprocessor will arrive. Consensus (among AI’s) is that a graphics card like a NV 5070 Ti with 12GB onboard is the minimum ticket. The 8 GB GPU’s are seriously bottlenecked. The NV 5070 Ti machines command a $600 – 800 premium over 5060 8GB machines.
I have started backing machine resident documents on thumb drives, in addition to paper copies of critical documents buried about. I can no longer trust cloud storage.