Veo

Overall reception and comparisons

• Many find Veo’s demos less impressive than OpenAI’s Sora: clips are shorter, often slow‑motion or simple pans, with limited complex motion and few humans.
• Some argue expectations shifted unrealistically fast; a few months ago this would have seemed astonishing, and it’s still a major technical leap.
• Others note Sora’s best-known short was heavily edited with VFX, so direct demo-to-demo comparison is misleading; both Veo and Sora remain unreleased.

Product access, branding, and UX

• Veo is only accessible via a VideoFX waitlist; many complain about:
  • Region blocking (especially EU).
  • Multiple sign‑ins, broken forms, and needing to re-enter email.
  • Confusing naming: Veo (model) vs VideoFX (tool) vs other “FX” products.
• Some see this as emblematic of recent Google I/O: lots of demos and waitlists, little immediately usable product.
• Parallel discussion of GPT‑4o: text model is widely available to paid users, but voice/video features are not; roll‑out is uneven and confusing.

Capabilities and limitations

• Strengths: highly polished “stock-footage” style shots, timelapses, scenic B‑roll, depth‑aware camera moves, masked edits, and image‑to‑video.
• Weaknesses:
  • Poor continuity across shots and limited control over exact actions or camera coverage, reducing usefulness for serious filmmaking.
  • Artifacts and uncanny motion (e.g., horse/camel gait, cars merging into ground, surreal Northern Lights).
  • Some prompts not fully followed; Google is at least transparent that outputs aren’t perfectly prompt-faithful.

Safety, humans, and censorship

• Notable lack of human-heavy clips; commenters speculate about:
  • Ongoing Gemini image controversies (race, WW2 depictions).
  • Nudity/objectification concerns and PR risk.
• Some argue safety filters often degrade quality or block benign content.

Watermarking and misuse

• Veo videos are watermarked with SynthID; it also extends to images, text, and audio.
• Commenters question:
  • Whether text watermarking will be noticeable or harm quality.
  • How any watermark meaningfully prevents deepfake propaganda, since powerful actors can run unwatermarked models.

Broader impact and Google’s strategy

• Fears of AI‑generated video spam, TikTok/Shorts auto‑content, and “infinite jest”‑style ultra-personalized distraction; some note this is already emerging, especially for porn and low-effort monetized clips.
• Mixed views on Google:
  • Critics: squandered AI lead, over‑cautious, ad‑driven, confusing product strategy, history of killing products.
  • Defenders: research strength, huge context windows, longstanding core products, and meaningful if imperfect catch‑up with OpenAI.