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Generative AI – Short and Sweet – Perpetual Views/ Videos

Hacker News

Generative AI – Short and Sweet – Perpetual Views/ Videos

The 7th episode of the newsletter Generative AI - Short & Sweet is out now. --> https://generativeai.net/newsletter Perpetual View/Video Generation (PVG). AI models generate open-ended videos from one image only - at least that’s the newest approach from Google Research [1]. These videos are “flying“ through a scene depicted in the input image. The range of potential applications is endless. Further, the tech behind it is incredibly smart and it marks the next cornerstone of generative AI. In this episode we talk about the PVG's tech side and brainstorm about its future applications. (+ a little digression about the future usage of synthetic data in AI training.) Best, Martin

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TrustMRRFits verified-revenue profile · Strong signals: video, google · Missing: mobile apps, ios, personal
60%60% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: model, google, new · Missing: mac, agents, macos
54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: smart · Missing: web3, chat, crypto
42%42% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
23%23% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Strong signals: training · Missing: arr, mrr, revenue
22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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