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AI

Everything tagged AI.

5videos

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26:15
Brandon Butch

macOS 27 Golden Gate - 50+ New Features & Changes!

Brandon Butch walks through more than fifty changes in macOS 27 Golden Gate beta 1. Two stories run through it: a design walkback that fixes Tahoe's loudest complaints (corner radii, floating sidebars, toolbars), and an AI first turn where Spotlight and Siri merge into one Search or Ask box, Siri gains on screen awareness, personal context, and in app actions, and vibe coding arrives for Safari extensions and Shortcuts. This page rebuilds the whole tour, feature by feature, with the live demos and the honest beta misses.

AppleAIJun 14, 2026
18:11
The Infographics Show

The $15,000 AI Bill. Your $20 Subscription is a DELUSION

The Infographics Show takes one uncomfortable number and builds an entire economic argument on top of it. A serious Claude Code power user chews through roughly 10 billion tokens a year, and at standard API rates that workload costs about $15,000. The same person on a flat rate Max subscription pays around $1,200. The missing $13,800 is a 92% subsidy, and it is not magic, it is venture capital deliberately eating losses to get a generation hooked before the price tags change.

AIBusinessJun 9, 2026
1:20:39
The Peter McCormack Show

We Are Living Inside a Simulation To Test AI | Roman Yampolskiy

Roman Yampolskiy is one of the world's most outspoken AI safety researchers, and he opens this conversation with Peter McCormack by saying the quiet part loud: you are a simulation of a human, a very believable one, and he says it with a smile. The hook is not idle provocation. Yampolskiy's claim is that the single most likely reason you are alive at this exact moment, watching humanity stand on the lip of the singularity, is that this whole world is a test environment built to study how a civilization handles the creation of intelligence greater than its own.

AIPhilosophyMay 12, 2026
20:11
Alex Ziskind

I Plugged a DGX Spark and Mac Together... and Didn’t Expect This

Two machines on a desk, each brilliant at exactly half of what running a large language model needs, and each terrible at the other half. The NVIDIA DGX Spark (here a GB10 in MSI's Edge Expert clothing) chews through a long prompt at hundreds of tokens per second, then crawls when it actually has to write the answer. The Mac mini does the reverse: slow to read the prompt, fast to stream the reply. Alex Ziskind spends this video trying to bolt the good half of each onto the other, a trick the industry calls disaggregated prefill and decode, then measuring whether the Frankenstein is actually worth building.

AIHardwareMay 1, 2026