June 29, 2026
Apple’s AI chip? Comment war inside
Apple Neural Engine: Architecture, Programming, and Performance
Apple’s secret AI chip guide drops, and the comments instantly turn into a roast
TLDR: A new reverse-engineered guide tries to explain the hidden Apple chip that handles AI tasks on iPhones and Macs, including an unsupported back door for research use. But commenters stole the show by roasting the writing, arguing key new hardware was skipped, and saying the chip may be a bad fit for today’s chatbot boom.
A deep dive into Apple’s hidden Neural Engine — the special chip block that helps iPhones, iPads, and Macs run machine-learning tricks — should have been a victory lap for hardware nerds. Instead, the community reaction turned into a full-on comment-section food fight. The guide itself is a massive reverse-engineering effort, mapping how Apple’s AI hardware works across years of devices and even showing that there’s an undocumented path regular apps can call for research. In plain English: someone peeked behind Apple’s curtain and wrote down what they saw.
But the crowd was not ready to clap politely. One of the loudest reactions was basically, “Did a robot write this?” with readers calling the piece “AI-written” and even asking for a “non-slop version,” which is internet-speak for “please give me something cleaner, clearer, and less like a wall of generated mush.” Ouch. Others were annoyed for a different reason: they argued the guide missed the newest, most exciting part of Apple’s hardware, saying the fresh Neural Accelerators on M5 are the real star and should have gotten top billing.
And then came the brutal practical take: what if this whole thing just isn’t very useful for chatbots and large language models? One commenter flatly declared the Neural Engine “useless for LLMs,” basically accusing Apple of building the right chip for the wrong AI moment. So yes, the article uncovered secret plumbing inside Apple devices — but the real drama was the crowd asking whether the write-up was readable, complete, or already outdated on arrival.
Key Points
- •The article describes the Apple Neural Engine as a fixed-function matrix accelerator included in Apple SoCs from A11 through A18 and M1 through M5 generations.
- •It reports a reverse-engineered analysis based on direct hardware measurement and static analysis of the runtime, compiler, kernel driver, and firmware.
- •The guide documents the ANE datapath, throughput and energy roofline limits, and a dispatch path that reaches the engine below Core ML.
- •It also covers the compiler, on-disk program format, weight-compression scheme, kernel driver, firmware, and command protocol.
- •The article states that low-level direct access is possible from ordinary user space but is undocumented, unsupported, and fragile across versions, while Core ML remains the supported route for shipping software.