
Nvidia is a victim of the compute marketplace it created
THE SO WHAT
Once compute became the scarcest resource in AI, every adjacent layer—from clouds to custom chips to colos—started fighting to capture that margin. If your strategy assumes perpetual Nvidia-style pricing power, you’re ignoring how quickly alternatives and abstraction layers are being incentivized into existence.
READ THE SOURCE
MORE FROM THE WIRE
Applied AIOpenAI, Anthropic Hit New Speed Bump With US Government
A more active federal review of frontier models means release cycles and capability rollouts now carry regulatory lead time. If your product depends on the latest model weights, build contingency plans for slower or staggered access across vendors.
Applied AIMeta enters the crowded AI coding battle with Muse Spark 1.1
Meta joining the AI coding assistant fight with Muse Spark 1.1 means developer tools are now a front-line distribution channel for foundation models. If you run an internal dev platform, you’re choosing not just a copilot but an ecosystem tie-in with Meta, OpenAI, or Anthropic.
Applied AIOpenAI is discontinuing ChatGPT Atlas, its standalone desktop browser, in favor of the new ChatGPT desktop app
Sunsetting ChatGPT Atlas in favor of the unified desktop app is another step toward consolidating experimentation into a single consumer and enterprise surface. If you’re building on OpenAI, expect fewer side products and more pressure to integrate with the core ChatGPT client.
Applied AIIt's not just about the GPU crunching on an LLM anymore': Apple silicon leader explains why a Mac Mini could be the surprising choice for a machine running all your AI agents
Apple arguing that a Mac Mini can comfortably run AI agents is a push toward local, always-on orchestration rather than pure cloud dependence. If you’re designing agent architectures, start modeling what runs on edge hardware versus centralized GPUs for latency, privacy, and cost.