Eyes on the Chaos
Saturday, May 23, 2026

Archived edition

Saturday, May 23, 2026

10 stories curated from 16 sources

In today's issue

DesignEthicsProduct
  1. 01
    Google's new anything-to-anything AI model is wild

    Google's new multimodal AI can generate convincing deepfakes of objects.

  2. 02
    Google's AI search is so broken it can 'disregard' what you're looking for

    Google's AI Overviews mistakenly responds like a chatbot instead of summarizing.

  3. 03
    The literary world isn't prepared for AI

    AI-generated story appears to have won a prestigious Commonwealth literary prize.

  4. 04
    Even If You Hate AI, You Will Use Google AI Search

    Google's AI search answers are too convenient to resist despite harming creators.

  5. 05
    AI is being used to resurrect the voices of dead pilots

    People used AI to reconstruct cockpit recordings, forcing NTSB security changes.

  6. 06
    We tried Google's AI glasses and they're almost there

    Google's prototype AR glasses show promise with Gemini-powered real-time features.

  7. 07
    The Case for Design Disposables

    Rough artifacts for thinking should stay separate from polished deliverables.

  8. 08
    Closing the Loop: What to Do After a Design Critique Ends

    Missing follow-up steps after critiques is why feedback culture fails.

  9. 09
    Waymo Suspends Service in Six Cities After Cars Drove Into Flooded Roads

    Waymo halts operations after autonomous vehicles couldn't handle Atlanta flooding.

  10. 10
    Sundar Pichai Understands Why People Are Anxious About A.I.

    Google CEO addresses public AI concerns in post-I/O interview.

AI Research & News

Google's new anything-to-anything AI model is wild

The Verge

EthicsProduct

Google's new multimodal AI can generate convincing deepfakes of objects.

  • What it does: The new Gemini model can transform any input into any output format - text, images, video, audio.
  • Real-world test: A journalist successfully deepfaked their kid's stuffed animal to look like it was on vacation, recreating a Google ad.
  • The implications: Raises questions about the line between harmless fun and potential misuse of generative AI technology.

For product

Consider how your team will handle user-generated deepfakes in products - authentication and content policies need updating before this becomes mainstream.

Google's AI search is so broken it can 'disregard' what you're looking for

The Verge

Product

Google's AI Overviews mistakenly responds like a chatbot instead of summarizing.

  • The bug: Searching for 'disregard' triggered AI Overview to respond like a chatbot saying 'Got it' instead of providing search results.
  • Quick fix: Google appears to have patched the issue by Friday afternoon after it was spotted on social media.
  • Bigger picture: Shows how AI search features can break basic search functionality when they misinterpret user intent.

For product

Build robust fallback mechanisms for AI features - when they fail, they should degrade gracefully to core functionality rather than breaking the entire experience.

The literary world isn't prepared for AI

The Verge

Ethics

AI-generated story appears to have won a prestigious Commonwealth literary prize.

  • The discovery: Jamir Nazir's winning story shows telltale signs of LLM writing - mixed metaphors, repetitive structures, and formulaic patterns.
  • Detection challenge: Literary contests lack robust AI detection systems, making it easy for generated content to slip through.
  • Industry impact: Raises questions about authenticity verification in creative competitions and publishing more broadly.

For ethics

If your company runs any user-generated content contests or creative submissions, implement AI detection tools now - the literary world's oversight could be yours too.

Even If You Hate AI, You Will Use Google AI Search

Wired

EthicsProduct

Google's AI search answers are too convenient to resist despite harming creators.

  • Convenience trap: AI-generated search summaries save time but reduce clicks to original sources, hurting content creators.
  • Network effects: Users will adopt AI search despite philosophical objections because the convenience is too compelling.
  • Creator impact: Artists, writers, and thinkers lose traffic and revenue when their work is summarized instead of visited.

For product

Consider how your AI features might cannibalize partner content - build attribution and revenue-sharing mechanisms before launching summarization features.

AI is being used to resurrect the voices of dead pilots

TechCrunch

Ethics

People used AI to reconstruct cockpit recordings, forcing NTSB security changes.

  • The technique: Hackers used AI on spectrogram images of cockpit recordings to reconstruct audio from crash investigations.
  • Immediate impact: NTSB temporarily blocked access to its entire docket system to prevent further voice reconstruction.
  • Privacy breach: Demonstrates how AI can extract sensitive audio from visual representations of sound waves.

For ethics

Audit what data your team publishes in visual formats - spectrograms, waveforms, or other signal representations might be reverse-engineerable with AI.

We tried Google's AI glasses and they're almost there

TechCrunch

ProductDesign

Google's prototype AR glasses show promise with Gemini-powered real-time features.

  • Core features: The Android XR glasses overlay Gemini-powered translation, navigation, and contextual information directly in your vision.
  • Almost ready: Prototype demonstrates functional AR but still needs refinement before consumer release.
  • AI integration: Gemini powers the real-time processing for translation and contextual assistance features.

For design

Start thinking about spatial design patterns now - AR interfaces will need completely different interaction models than mobile apps.

Product & UX

The Case for Design Disposables

Nielsen Norman Group

Design

Rough artifacts for thinking should stay separate from polished deliverables.

  • Definition: Design disposables are quick, rough artifacts made to explore ideas, not to deliver to stakeholders.
  • Sunk-cost trap: Teams often over-invest in refining thinking artifacts instead of treating them as temporary exploration tools.
  • Clear separation: Learning to distinguish between disposables and deliverables prevents wasted effort and clearer thinking.

For design

Introduce explicit 'disposable' labels in your design process - it gives teams permission to be messy and prevents over-polishing of exploratory work.

Closing the Loop: What to Do After a Design Critique Ends

Nielsen Norman Group

Design

Missing follow-up steps after critiques is why feedback culture fails.

  • Common gap: Most designers invest heavily in running critiques but skip the crucial follow-up work afterward.
  • Culture breakdown: Without proper follow-through, team members lose faith that their critique feedback actually matters or gets implemented.
  • Action items: Specific post-critique processes ensure feedback gets prioritized, assigned, and tracked to completion.

For design

Add a standard 48-hour follow-up template to your critique process - summarize decisions made, assign owners, and set follow-up dates.

Business & Strategy

Waymo Suspends Service in Six Cities After Cars Drove Into Flooded Roads

NYT Technology

Product

Waymo halts operations after autonomous vehicles couldn't handle Atlanta flooding.

  • The incident: Two Waymo cars were filmed stuck on flooded Atlanta streets, unable to navigate severe weather conditions.
  • Immediate response: Company suspended autonomous taxi service across six cities as a precautionary measure.
  • Edge case failure: Highlights how autonomous systems still struggle with unusual weather conditions and real-world unpredictability.

For product

Document your AI system's known failure modes and build manual override protocols - even advanced autonomous systems need human backup plans for edge cases.

Sundar Pichai Understands Why People Are Anxious About A.I.

NYT Technology

Product

Google CEO addresses public AI concerns in post-I/O interview.

  • Anxiety acknowledgment: Pichai directly acknowledges public fears about AI's impact on jobs, privacy, and society.
  • Search evolution: Discusses how Google Search will change with AI integration and what that means for users.
  • AI agents: Shares how he personally uses AI agents and his vision for their mainstream adoption.

For product

Follow Pichai's lead in acknowledging user anxiety about AI features rather than dismissing concerns - transparency about limitations builds more trust than overselling capabilities.