The HATE on AI is the same hate on Photoshop back in the 90s

I came online in the early '90s, when digital tools were new and most people were skeptical of them. I've spent years fascinated by editing and creating with technology, and the current debate over AI-generated images and video feels like a rerun of an argument I remember well.

When Photoshop arrived, the early results were often obvious fakes, and critics dismissed the whole medium. Darkroom photographers saw digital manipulation as a lesser craft. Over time, though, retouching and compositing became standard practice, and the skill matured into a discipline. The people who thrived weren't the ones who applied a filter and called it art. They understood light, composition, and the tool well enough to use it with restraint.

I think AI is following the same arc. Right now anyone can generate something, and much of the output is crude, which invites the same backlash. As the tools mature, the meaningful distinction will be between casual output and skilled, intentional work. Creators who know exactly what they want and how to direct the tool will set the standard, much as the best Photoshop artists did.

That's not to say the critics are wrong about everything. Concerns about authenticity, labor, and disclosure are legitimate and deserve serious answers. But history suggests a medium is ultimately judged by its best practitioners, not its worst examples.

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u/Federal_Worker5789 — 5 days ago

The HATE on AI is the same hate on Photoshop back in the 90s

I came online in the early '90s, when digital tools were new and most people were skeptical of them. I've spent years fascinated by editing and creating with technology, and the current debate over AI-generated images and video feels like a rerun of an argument I remember well.

When Photoshop arrived, the early results were often obvious fakes, and critics dismissed the whole medium. Darkroom photographers saw digital manipulation as a lesser craft. Over time, though, retouching and compositing became standard practice, and the skill matured into a discipline. The people who thrived weren't the ones who applied a filter and called it art. They understood light, composition, and the tool well enough to use it with restraint.

I think AI is following the same arc. Right now anyone can generate something, and much of the output is crude, which invites the same backlash. As the tools mature, the meaningful distinction will be between casual output and skilled, intentional work. Creators who know exactly what they want and how to direct the tool will set the standard, much as the best Photoshop artists did.

That's not to say the critics are wrong about everything. Concerns about authenticity, labor, and disclosure are legitimate and deserve serious answers. But history suggests a medium is ultimately judged by its best practitioners, not its worst examples.

reddit.com
u/Federal_Worker5789 — 5 days ago

Pi coin is not the product. WE, the KYC'd memebers IS THE PRODUCT

The product here is not the coin but the KYC infrastructure and the massive network of verified humans behind it. The network could monetize its identity-verification technology by providing KYC services to businesses and Web3 projects, without necessarily selling the underlying users' personal data. No other company has done this. Only Pi networ and its potential is very huge!

That distinction is important if you're evaluating Pi. It is actually a data/identity business disguised as a cryptocurrency. So the team dont give a damn about the Pi coin value and this means they are generating income from US AS THE PRODUCT.

These cult GCV makes it better for the company.

Research on this and finally be awaken. Weve been scammed 🤣

reddit.com
u/Federal_Worker5789 — 1 month ago

The Delayed Feedback Trap: Why Many New YouTubers Keep Sabotaging Their Own Growth

The Delayed Feedback Trap: Why Many New YouTubers Keep Sabotaging Their Own Growth

I'd like to share a concept that I call The Delayed Feedback Trap.

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In simple terms, you're making today's decisions using yesterday's information.

Imagine This

You publish a video on Monday.

On Tuesday, you notice the click-through rate (CTR) isn't great, so you change the thumbnail.

On Wednesday, you decide the title might be the problem, so you change that too.

On Thursday, you shorten the intro because retention looks low.

On Friday, the analytics improve.

Now comes the big question...

What actually caused the improvement?

Was it the new thumbnail?

The new title?

The shorter intro?

Or did YouTube simply need more time to find the right audience?

The truth is...

You no longer know.

Why This Happens

Many creators assume YouTube Analytics is showing what's happening right now.

It usually isn't.

Many metrics take time to stabilize as YouTube continues testing your video with different viewers. Some changes show their full effect hours later, while others may take several days.

So when you react immediately to every small movement, you're often responding to data that reflects an earlier version of your video.

By the time today's analytics appear, you've already changed something else.

The Problem

Imagine trying to bake the perfect cake.

You put it in the oven.

After one minute, you think something is wrong.

So you add more sugar.

One minute later, you think it's still wrong.

You add more butter.

Another minute later, you change the temperature.

When the cake finally comes out, you have no idea which change helped or hurt.

That's exactly what happens when you keep changing your YouTube strategy too quickly.

The Cost of the Delayed Feedback Trap

When you're caught in this cycle:

  • You can't identify what actually worked.
  • Good ideas get abandoned too early.
  • Bad ideas sometimes get credit for someone else's success.
  • Every new change overlaps with the previous one.
  • Your learning becomes slower instead of faster.

Ironically, you're working harder while learning less.

What You Should Do Instead

Think like a scientist.

Change one important thing at a time whenever possible.

Then give it enough time to collect meaningful data before making another major change.

Keep notes of:

  • What you changed
  • When you changed it
  • Why you changed it
  • What happened afterward

Over time, you'll build evidence instead of guesses.

Remember

Analytics tell you what has happened.

They don't always tell you what is happening right now.

Every time you make a new change, you're starting a new experiment.

If you keep changing multiple things before the previous experiment has had time to play out, you'll never know which decision actually moved the needle.

Patience isn't just a virtue on YouTube.

It's part of good testing.

So the next time your analytics look disappointing, ask yourself one question before changing anything:

"Am I reacting to today's strategy... or yesterday's data?"

u/Federal_Worker5789 — 3 months ago

we have all been optimizing for only one traffic source

i just realized after 1 year that I have been optimizing my videos and posting to be algo friendly which is only one traffic source (SUGGESTED BROWSE VIDEO) from youtube. it is true its a really big chunk but we sometimes forget there are other traffic source which will also contribute to our views which sometimes is where longer views comes from. and when the algo changes (like this AI change) we are constantly at the debt of youtube.

My question to those who are doing optimization to reach an increase in their other traffic source. what are those thing you do to optimize yours?

Traffic Source Who controls it most? Stability What optimizes it
Browse Features YouTube Medium Packaging + viewer satisfaction
Suggested Videos YouTube Low-Medium Audience overlap
Search Viewer intent High SEO + authority
Channel Pages You Very High Channel architecture
Direct/Unknown Viewer Extremely High Brand strength
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u/Federal_Worker5789 — 3 months ago
▲ 2 r/YouTube_startups+2 crossposts

EXPERIMENT: Total Channel Delete and Create New Clean Channel with same Videos

I have a 6 months old channel with 50+ episodes in it. still under performing but improving. what will happen if i take all those 50+ episodes and repack them into the latest packaging i learned after 6 months of grinding. close and delete this channel and create a channel and repost all the 50+ episode with a uniform packaging that perform better.

will there be issues of reuse of content if i already deleted the original post?
Has anyone already experimented on this? Give me your thoughts.

reddit.com
u/Federal_Worker5789 — 4 months ago