Despite 96% of C-suite executives expecting AI to boost productivity, employees say it has increased their workload, hampered productivity and caused job burnout, research shows.

The new global study, in partnership with The Upwork Research Institute, interviewed 2,500 global C-suite executives, full-time employees and freelancers. Results show that the optimistic expectations about AI’s impact are not aligning with the reality faced by many employees. The study identifies a disconnect between the high expectations of managers and the actual experiences of employees using AI.

Despite 96% of C-suite executives expecting AI to boost productivity, the study reveals that, 77% of employees using AI say it has added to their workload and created challenges in achieving the expected productivity gains. Not only is AI increasing the workloads of full-time employees, it’s hampering productivity and contributing to employee burnout.

  • @WalnutLum@lemmy.mlEnglish
    2•4 months ago

    Coqui for TTS, RVC UI for matching the TTS to the actor’s intonation, and DWPose -> controlnet applied to SDXL for rotoscoping

    • @Hackworth@lemmy.worldEnglish
      2•4 months ago

      Full open source, nice! I respect the effort that went into that implementation. I pretty much exclusively use 11 Labs for TTS/RVC, turn up the style, turn down the stability, generate a few, and pick the best. I do find that longer generations tend to lose the thread, so it’s better to batch smaller script segments.

      Unless I misunderstand ya, your controlnet setup is for what would be rigging and animation rather than roto. I do agree that while I enjoy the outputs of pretty much all the automated animators, they’re not ready for prime time yet. Although I’m about to dive into KREA’s new key framing feature and see if that’s any better for that use case.

      • @WalnutLum@lemmy.mlEnglish
        2•4 months ago

        I was never able to get appreciably better results from 11 labs than using some (minorly) trained RVC model :/ The long scripts problem is something pretty much any text-to-something model suffers from. The longer the context the lower the cohesion ends up.

        I do rotoscoping with SDXL i2i and controlnet posing together. Without I found it tends to smear. Do you just do image2image?

        • @Hackworth@lemmy.worldEnglish
          1•4 months ago

          The voice library 11labs added includes some really reliable and expressive models. I’ve only trained a few voice clones, but I find them totally usable for swapping out short lines to avoid having to bring a subject back in to record. I’ll fabricate a sentence or two, but for longer form stuff, I only use AI for the rough cuts. Then I’ll practically record as a last step, once everything’s gone through revision cycles. The “generate a few and chop em together” method is fine for short clips, but becomes tedious for longer stuff.

          Funnily enough, when I say roto, I really just mean tracing the subject to remove it from the background. Background removal’s so baked in to things now, I dunno if people even think of it as roto. But I mostly still prefer the Adobe solutions on this - roto brush in After Effects, for the AI/manual collaboration. As for roto in the A Scanner Darkly sense, I’ve played with a few of the video to video models, but mostly as a lark for fluff B-roll.