Google I/O

Original Article ↗ Hacker News Discussion ↗

Overall Reaction to Google I/O 2026

  • Many commenters say the event felt like “only AI,” with little meaningful focus on Android, hardware, or other traditional product verticals.
  • Some miss earlier I/O eras (Wave, Glass, early Android) and see current keynotes as over-scripted, bland, and marketing-driven.
  • Others argue AI is legitimately transformative and I/O is appropriately AI-heavy, likening this period to the dot-com era.

Gemini 3.5, Flash, and Benchmarks

  • Gemini 3.5 Flash going GA and beating older Pro models on many benchmarks is noted; some are impressed by speed and quality for non-complex tasks.
  • Others question benchmark relevance (e.g., voxel art) and note earlier 3.5 previews struggled with basic code edits.
  • Confusion and debate about whether Flash genuinely outperforms Pro or if evals are poorly aligned with real “agentic” work.

Pricing, Quotas, and Product Strategy

  • Strong frustration over Gemini pricing changes and a perceived “usage rug pull”; some users cancelled paid tiers after rapid quota exhaustion and errors.
  • Concern that Flash 3.5 costs ~3x Flash 3, undermining low-latency, high-volume use cases like support bots and simple RAG.
  • Some see earlier cheap models as loss-leaders; expect prices to rise as subsidies end. Others compare to cheaper VPS-era web hosting and feel gouged.

Antigravity IDE / CLI and Coding Agents

  • Antigravity is widely recognized as a VS Code fork and, in its new form, also resembling other AI desktop apps. Reactions range from “pragmatic reuse” to “uninspired cloning.”
  • Some say it’s better than the old Gemini CLI; others report instability, overload, and poor tool use.
  • Mixed belief in near-term “working coding agents”: some see real promise, others see frequent failures, slop code, and high token costs.

Search, AI Mode, and Ads

  • AI Mode in search is polarizing: some love direct answers and use it intentionally; others find hallucinations dangerous (e.g., made‑up hiking routes).
  • A subset uses AI Mode mainly because ads are less prominent, expecting ads to be reintroduced later.
  • Broader worry that AI-generated “slop” plus ads will further degrade search quality and “kill the open web.”

Agents, Use Cases, and Hype Fatigue

  • Many mock “agentic workflows” and repetitive enterprise jargon (agents, platforms, synergies).
  • Demos like AI-planned neighborhood parties are seen as trivial or socially dystopian.
  • Skeptics say labs are scrambling for real use cases; enthusiasts counter that long-running agents plus massive compute will meaningfully automate “stuff on a computer” and threaten many white-collar roles.

Business Model and Strategic Risk

  • Debate over whether Google will “win the AI race” or destroy its core ad/search business in the process.
  • Concerns about how to monetize LLM answers with ads, and whether incumbents’ AI push simply accelerates user migration to alternative tools or local models.