July 25, 2026
Siriously? The comments revolt
Apple Is the King of AI and Nobody Knows It
Apple’s secret AI crown claim sparks eye-rolls, fan wars, and Siri slander
TLDR: A bold opinion piece says Apple could quietly win AI if smart tools end up running on everyday devices instead of distant servers. Commenters were mostly skeptical, mocking the hype, dunking on Siri, and arguing the article sounded more confident than convincing.
One writer just slammed the big red panic button on the AI world, declaring Apple the “undisputed king” of artificial intelligence while calling NVIDIA a “dead man walking.” That’s a huge claim in a world where most people still associate AI with chatbots, giant data centers, and chip kingpins. The article’s basic case is simple: if AI tools become cheap or free and run directly on the devices people already own, then Apple’s tightly controlled hardware could suddenly matter a lot more than flashy cloud services.
But the comments? Absolute chaos. A lot of readers were not buying the coronation. One instantly sniffed out the tone as “very Claude written,” basically accusing the piece of sounding like it was generated by an AI chatbot while praising Apple’s AI future. Ouch. Another went straight for the throat by saying a quick test of Apple’s Siri beta against ChatGPT Live “quickly disproves this drivel,” which is the kind of public roasting that keeps comment sections alive. Others weren’t even arguing about Apple itself — they were mocking the article’s receipts, dragging its unlabeled charts and fuzzy comparisons like a reality-show reunion.
There were some calmer voices saying local, on-device AI could indeed become a big deal. But even those people seemed annoyed by the article’s prophet energy. The funniest running vibe was basically: “Sure, maybe Apple wins someday — but can we please not pretend Siri already did?” And that, more than the bold headline, is the real story: the community isn’t just debating Apple’s future, it’s dunking on the hype in real time.
Key Points
- •The article argues that AI leadership is being misjudged by focusing on frontier-model quality and training-chip dominance rather than on the hardware that will run widely available models.
- •It cites NVIDIA’s market position with a $5 trillion valuation, 85% year-over-year revenue growth, and public statements from CEO Jensen Huang about GPU utilization.
- •The article lists multiple open-weight model releases from February through July 2026, including Qwen 3.5, DeepSeek V4, Kimi K2.6, MiniMax M3, K2.7-Code, GLM-5.2, and Kimi K3.
- •It claims the performance gap between top closed models and free downloadable models has narrowed to single-digit benchmark differences and is shrinking quickly.
- •In its final visible section, the article says trillion-parameter mixture-of-experts models are memory-bound rather than compute-bound, making hardware memory capacity a key issue for local AI deployment.