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77% Of Employees Report AI Has Increased Workloads And Hampered Productivity, Study Finds (www.forbes.com)

submitted 1 month ago by [email protected] to c/[email protected]

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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.

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[–] [email protected] 1 points 1 month ago* (last edited 1 month ago) (7 children)

Voiceover recording, noise reduction, rotoscoping, motion tracking, matte painting, transcription - and there's a clear path forward to automate rough cuts and integrate all that with digital asset management. I used to do all of those things manually/practically.

e: I imagine the downvotes coming from the same people that 20 years ago told me digital video would never match the artistry of film.

[–] [email protected] 0 points 1 month ago (4 children)

All the models I've used that do TTS/RVC and rotoscoping have definitely not produced professional results.

[–] [email protected] 0 points 1 month ago* (last edited 1 month ago) (3 children)

What are you using? Cause if you're a professional, and this is your experience, I'd think you'd want to ask me what I'm using.

[–] [email protected] 1 points 1 month ago (1 children)

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

[–] [email protected] 1 points 1 month ago (1 children)

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.

[–] [email protected] 1 points 1 month 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?

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