Apple's latest attempt to launch the new Siri runs into snags

Siri’s Persistent Quality Problems

  • Many commenters say Siri has been poor for over a decade and remains unreliable at simple tasks: alarms, reminders, basic queries, HomeKit control.
  • Voice dictation quality is a recurring complaint, especially in CarPlay and on Apple Watch; users describe bizarre misrecognitions and inconsistent behavior.
  • Some users report using Siri heavily and successfully for routine tasks, but acknowledge it’s limited compared to expectations of a “smart assistant.”

LLM-Based Siri: Technical and Product Constraints

  • The new Siri is reportedly based on a new architecture (“Linwood”) and Apple’s in‑house LLMs, with Gemini technology integrated.
  • Debate over Apple’s design goal: some think Apple wants everything on-device for privacy; others note Apple’s “Private Cloud Compute” means a hybrid model.
  • There is skepticism that current LLMs, with hallucinations and latency, can meet Apple’s quality bar for a voice assistant that users can trust hands‑free.
  • Some praise Apple for delaying instead of shipping a buggy “AI” feature; others say Apple’s software has already declined and this is more of the same.

Comparisons with Competitors (Gemini, Grok, Google Home, etc.)

  • Google’s Gemini-based assistants are described as more capable in some contexts but also fragmented, long‑winded, and often still bad at basic tasks.
  • Google Home is said to suffer from massive technical debt and inconsistent device stacks.
  • Grok/Tesla integration is cited as an example of shipping a functional LLM assistant quickly, but it runs in the cloud and doesn’t face Apple’s privacy constraints.

Apple’s AI Strategy, Priorities, and Leadership

  • Some believe Apple bet wrongly on small, efficient on-device models and is now far behind frontier LLMs.
  • Others argue Apple is primarily a hardware/UX company, can rent Gemini or others, and doesn’t need to “win” frontier AI to succeed.
  • Strong debate over leadership: Cook seen by some as an optimizer lacking vision, by others as having successfully scaled Apple and made the M‑series and devices dominant.

Demand for Voice Assistants & Use Cases

  • Heavy-use scenarios: driving, accessibility, smart home control. Many say a truly capable assistant (multi-step tasks, calendar-aware, email-aware) would be hugely valuable.
  • Others see voice assistants as marginal, mostly for timers and alarms, and question whether Siri is worth Apple’s massive investment.

Organizational and Cultural Factors

  • Several comments describe “big company syndrome”: huge teams, meetings, siloing, QA issues, and internal politics slowing meaningful progress.
  • Apple’s strict privacy stance and high internal bar for reliability are viewed as both a strength (user trust) and a major shipping constraint.