Login

u/Alive-Improvement640

r/Mogong r/ISO27001 r/genspark_ai r/aifilmmaking
▲ 1 r/aifilmmaking

The 3 places people actually get stuck making AI short films (not the tools)

The 3 places people actually get stuck making AI short films (not the tools)

I teach AI filmmaking in Korea and I've watched a few hundred people try to finish their first short. Almost nobody fails because they picked the wrong generator. They fail at the same three points.

  1. Skipping the character sheet

This is the big one. People go straight from idea to video generation, and by scene 4 the protagonist has a different face and a different jacket. Then they try to fix it with prompt tweaks, which mostly doesn't work.

Build the character sheet first — multiple angles, consistent wardrobe, consistent lighting reference — before you generate a single shot. It feels like a detour. It isn't.

  1. Wildly underestimating assembly time

Everyone budgets time for generation. Almost nobody budgets time for sorting through 40 clips to find the 12 that cut together. In my experience assembly takes roughly twice as long as generation for a 90-second piece.

If you're planning a one-day sprint, give the edit at least half your total time.

  1. Never submitting

This one's psychological. People finish a film, watch it, decide it's "not quite there," and it dies in a folder. Meanwhile the films winning at AI festivals are often rougher than what's sitting on your drive.

Make a FilmFreeway account before you finish the film. Removes the decision point.

On length: aim for 90 seconds to 3 minutes. Fewer scenes means consistency is easier to maintain, and jurors watch short pieces all the way through. A lot of the award winners at AI festivals live in that range.

Happy to answer questions about any of this — pipeline, tools, festival submission process, whatever.

reddit.com
u/Alive-Improvement640 — 3 days ago
▲ 5 r/genspark_ai

I’m a Genspark Genius Ambassador — Exploring Practical Ways to Use AI Agents

​

I’m Jaeyong Choi (최재용) from South Korea, and I’m currently active as a Genspark Genius Ambassador.

I also serve as President of the Korea Genspark AI Research Association, where we explore practical ways to use Genspark, Generative AI, and AI Agents in real-world environments.

Our main focus is not just learning new AI tools, but figuring out how AI agents can actually improve:

• Education and training

• Business productivity

• Public-sector workflows

• Research and consulting

• Content creation

• AI-powered automation

I believe we’re moving from the era of simply “using AI” toward an era where people design, manage, and collaborate with AI agents.

One principle guides much of my work:

“Go beyond knowing AI — turn AI Agents into real-world results.”

I’d love to connect with other Genspark users, AI educators, researchers, and agentic AI enthusiasts around the world.

How are you currently using Genspark or AI agents in your work?

I’d be especially interested in hearing about practical use cases that have genuinely saved time or improved results.

— Jaeyong Choi | 최재용

Genspark Genius Ambassador

President, Korea Genspark AI Research Association

#Genspark #AIagents #AgenticAI #GenerativeAI

reddit.com
u/Alive-Improvement640 — 5 days ago
▲ 47 r/ISO27001

Took the ISO 42001 Lead Auditor course. Here's what actually surprised me about the exam.

I've been teaching AI governance for a while and writing about ISO/IEC 42001, so I figured the auditor course would mostly be review. It wasn't. Sharing this because I couldn't find much firsthand info before signing up.

What I expected: memorize clauses 4 through 10, memorize Annex A controls, pass.

What it actually was: scenario judgment. You get a situation and have to decide whether it's a nonconformity, an observation, or an opportunity for improvement. Then justify it. Which clause, which requirement, what evidence is missing.

That distinction turned out to be the whole course. Explaining a standard and auditing against it are different skills. When you explain, you describe what the clause says. When you audit, you look at a document and ask whether it constitutes objective evidence of conformity. Completely different mental motion.

A few things worth knowing if you're considering it:

The AI Impact Assessment requirement in clause 6 has no equivalent in ISO 27001 or 9001. Organizations have to assess and document the effects their AI systems have on individuals and society. Most companies I've worked with have nothing here. It's the single most common gap.

Annex A data controls are brutal in practice. Provenance, quality, bias, preparation methods for training data. Anyone who deployed a generative AI tool without documenting where the data came from will fail this.

Your organizational role determines your requirements. Developer, provider, or user. A company that only uses third-party AI has a very different scope than one training models. A lot of people misclassify themselves at the start and build the wrong scope.

Third-party management is where most AI-using orgs are exposed. If you're running your business on external APIs and have no supplier control procedure, that's a finding.

Open question for anyone here who's done actual 42001 audits: how are you handling evidence for impact assessment? The standard says assess, it doesn't prescribe a format. Curious what's holding up in real certification audits versus what auditors are pushing back on.

Happy to answer questions about the course structure or exam format if anyone's on the fence.

u/Alive-Improvement640 — 23 days ago