Tech News · February 20, 2026 · 11:20

Android spyware uses Gemini live & Gemini makes music and art - Tech News (Feb 20, 2026)

Please support this podcast by checking out our sponsors: - Prezi: Create AI presentations fast - https://try.prezi.com/automated_daily - KrispCall: Agentic Cloud Telephony - https://try.krispcall.com/tad - Effortless AI design for presentations, websites, and more with Gamma - https://try.gamma.app/tad Support The Automated Daily directly: Buy me a coffee: https://buymeacoffee.com/theautomateddaily Today's topics: Android spyware uses Gemini live - ESET reports “PromptSpy,” an Android spyware family that queries Google Gemini at runtime to adapt taps and UI navigation via Accessibility—novel genAI-driven persistence. Gemini makes music and art - Google’s Gemini rolls out Lyria 3 to generate 30-second music from text, photos, or video prompts, plus AI cover art—mainstreaming consumer generative audio tools. Apple Music builds AI playlists - Apple’s iOS 26.4 beta adds “Playlist Playground,” using Apple Intelligence to turn prompts into 25-song playlists with cover art and descriptions—c

Android spyware uses Gemini live & Gemini makes music and art - Tech News (Feb 20, 2026)
0:0011:20

Today's Tech News Topics

  1. 01

    Android spyware uses Gemini live

    — ESET reports “PromptSpy,” an Android spyware family that queries Google Gemini at runtime to adapt taps and UI navigation via Accessibility—novel genAI-driven persistence.
  2. 02

    Gemini makes music and art

    — Google’s Gemini rolls out Lyria 3 to generate 30-second music from text, photos, or video prompts, plus AI cover art—mainstreaming consumer generative audio tools.
  3. 03

    Apple Music builds AI playlists

    — Apple’s iOS 26.4 beta adds “Playlist Playground,” using Apple Intelligence to turn prompts into 25-song playlists with cover art and descriptions—competing with Spotify’s AI playlist features.
  4. 04

    ByteDance boosts AI video realism

    — ByteDance’s Seedance 2.0 draws Hollywood scrutiny for near-production-looking AI video with dialogue and sound effects, intensifying copyright, labeling, and licensing debates.
  5. 05

    Gemini 3.1 Pro benchmark leap

    — Google previews Gemini 3.1 Pro, claiming stronger reasoning and big benchmark jumps (Humanity’s Last Exam, ARC-AGI-2) while competition remains tight versus Anthropic and OpenAI.
  6. 06

    OpenAI’s strategy under pressure

    — Analyst Benedict Evans argues OpenAI lacks durable moats: frontier models are converging, distribution favors incumbents, engagement is shallow, and “new AI experiences” may be hard to own alone.
  7. 07

    AI productivity: gains, bottlenecks

    — Evidence on AI at work is mixed: coding assistants show measurable throughput gains, but PR review and quality become bottlenecks; teams with strong fundamentals benefit far more than others.
  8. 08

    Alzheimer’s blood test clock model

    — WashU researchers published a plasma p-tau217 “clock” in Nature Medicine that estimates Alzheimer’s symptom onset within ~3–4 years—potentially accelerating prevention trials via cheap blood tests.
  9. 09

    Personalized mRNA vaccine for TNBC

    — A Nature paper reports individualized neoantigen mRNA (RNA–LPX) vaccination in early-stage triple-negative breast cancer is feasible, immunogenic, and shows durable T-cell responses over years.
  10. 10

    Social media addiction lawsuits grow

    — Meta, TikTok, and others face escalating U.S. courtroom fights over alleged addictive design harms to children, testing Section 230 and First Amendment defenses with major bellwether trials.
  11. 11

    Meta pivots Horizon Worlds mobile

    — Meta is splitting Horizon Worlds from Quest, pushing Worlds toward an almost mobile-first product while reaffirming third-party Quest developer support—reshaping its metaverse strategy.
  12. 12

    SaaS shakeout and durability tests

    — After a software-stock selloff, investors are sorting durable SaaS from vulnerable categories as AI lowers build costs and shifts budgets; switching costs and data compounding are key moats.
  13. 13

    AI scaling laws beyond language

    — A deep dive on scaling laws argues they’re most reliable in language and image generation; other domains like robotics and biology scale more slowly and need better data, evals, and post-training.