r/SinceAI

Imagine two assistants.

Assistant A:

• strongest available model
• everything processed in the cloud
• monthly subscription
• requires internet

Assistant B:

• slightly weaker
• runs locally
• works offline
• your data never leaves the device
• one-time hardware cost

Which would you choose?

For casual questions I would probably use the cloud.

For emails, personal documents, company code and private data - local AI becomes much more interesting.

How much intelligence would you sacrifice for privacy and ownership?

Let’s make this a weekly builder thread.

Whether you’re working on AI apps, agents, LLM tools, ML projects, robotics, research, startups, or automations — drop what you’re building below.

3 simple questions:

1. What are you building?
Share your project, idea, prototype, or experiment.

2. What are you learning?
Could be a model, framework, paper, tool, or skill.

3. What’s blocking you right now?
Maybe someone here can help.

The goal is to make r/SinceAI a place where builders can share progress, get feedback, meet serious people, and learn faster together.

If you’re lurking, this is a great first thread to comment on.

Not a research demo.

Not a humanoid doing one carefully rehearsed task.

A robot that millions of normal people would willingly buy.

What does it do?

• clean the entire house
• cook
• take care of elderly people
• handle laundry
• provide security
• carry things
• maintain the garden
• something else

My guess is the first mass-market winner will not look very human.

It will probably do one boring and painful task extremely well.

What task is valuable enough to justify the cost?

A lot of AI startups are built on APIs that their competitors can also access.

So what actually becomes defensible?

• proprietary data
• distribution
• deep workflow integration
• customer relationships
• better user experience
• lower prices
• industry knowledge
• network effects
• moving faster than everyone else

"Better prompts" does not feel like a long-term moat.

What AI product have you seen that genuinely becomes harder to copy as more people use it?

A lot of AI tools are best at the tasks companies traditionally gave to junior employees.

• simple code
• basic research
• first drafts
• data cleaning
• documentation
• support responses
• routine analysis

That sounds great for productivity.

But senior engineers, researchers and managers do not appear from nowhere.

They become good by doing smaller tasks, making mistakes and receiving feedback.

If AI removes the beginner work - how are beginners supposed to become experts?

Are companies thinking about this at all?

Not because every AI post is false.

Because producing average content now costs almost nothing.

Thousands of:

• generic tutorials
• fake product reviews
• SEO articles
• copied opinions
• meaningless comments
• low effort videos
• fake personal stories

Even if 90% of it is technically correct, finding anything original becomes harder.

The internet might not die because AI lies.

It might die because useful information gets buried under infinite mediocre content.

What platform has handled this problem best so far?

And how should Reddit deal with it without banning useful AI-assisted posts?