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@TylerJTennant • 24,447 subscribers

AI systems designer｜Converting models into scalable, revenue-driven tools. Engineering workflows that multiply output.

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I’ve always felt AI characters broke the moment they spoke. Kling 2.6 Voice Control fixes that. Same mirror, same question — different faces, different emotions, one consistent voice. This is the moment virtual characters finally feel real.
0:54
TylerJTennant's profile picture

I’ve always felt AI characters broke the moment they spoke. Kling 2.6 Voice Control fixes that. Same mirror, same question — different faces, different emotions, one consistent voice. This is the moment virtual characters finally feel real.

Tyler TechForge

84,068 views • 7 months ago

After the last post, a lot of friends asked: “How did you actually make this with multi-frame generation?” “Is the process complicated?” It’s not. The hard part isn’t the tool — it’s the order. Dreamina AI
1:09
TylerJTennant's profile picture

After the last post, a lot of friends asked: “How did you actually make this with multi-frame generation?” “Is the process complicated?” It’s not. The hard part isn’t the tool — it’s the order. Dreamina AI

Tyler TechForge

74,938 views • 7 months ago

I used multi-frame generation to make a mecha video. What’s impressive isn’t the visuals — it’s that the model remembers what happened in the previous frame. When AI understands continuous action, creation shifts from generating content to executing intent. That step matters.
0:35
TylerJTennant's profile picture

I used multi-frame generation to make a mecha video. What’s impressive isn’t the visuals — it’s that the model remembers what happened in the previous frame. When AI understands continuous action, creation shifts from generating content to executing intent. That step matters.

Tyler TechForge

34,746 views • 7 months ago

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