u/TheoremWhisperer

What happens if AI and automation get good enough to handle almost every job we have today and companies can do it better and for less money than hiring people?

If a huge portion of jobs disappears, how are ordinary people supposed to make a living? And if fewer people have traditional jobs, what happens to the economy that currently depends on people earning and spending money?

Maybe society eventually moves toward a world where working for a paycheck isn't necessary anymore. But then what does everyday life look like? How do people find purpose, contribute to their communities, or decide what to do with their time?

If human labor eventually becomes less valuable than machines, what do you think society does next?

I've been thinking about this more lately. I actually get more value from using Claude or ChatGPT to help me build an automation than giving an AI agent complete control over the workflow.

I can use AI to write the script, explain an API, fix a bug or help design the workflow. Then the actual automation can stay predictable and run the same way every time.

Once you let AI make every decision by itself things can get messy pretty quickly.

I still like the idea of agents but for a lot of everyday automation I'd rather have AI help me build the system and let normal code do the repetitive work.

How do you use AI in your automations as the builder or as the thing actually running them?

This one surprised me more than I expected. A Semafor analysis found that AI-written or partly AI-written submissions have already started appearing in the opinion pages of the Wall Street Journal, Washington Post and New York Times. Out of 310 guest submissions reviewed over the past month, 10 were detected as at least 80% AI-written and another 40 showed some AI involvement.

What's interesting is that the debate isn't really about whether writers can use AI anymore. The bigger question seems to be whether the final piece still represents the person's own ideas and whether readers should be told how much AI was involved. The WSJ recently defended an AI-assisted op-ed on exactly those grounds.

Honestly I'm curious where people think the line should be.

Is using AI to write an opinion piece basically the same as using an editor or ghostwriter or does it change the meaning of “your writing”?

I honestly thought the next GPT release would just be another step up in coding and reasoning. GPT-6 Astra feels more interesting because OpenAI is pushing it much harder toward actually doing things instead of just answering questions.

It can handle computer use browsing software engineering and complex multi-step work and OpenAI says it's already being rolled out to a limited group before reaching Plus Pro Business and Enterprise users and the API.

The part that caught my attention is the agent side. If models can actually work through a task on your computer instead of just telling you how to do it then automation starts looking very different.

I'm curious how this changes the way people build bots and workflows.

Would you trust GPT-6 Astra to actually run a task for you without watching everything it does?

Not looking for some 14-service Docker setup with 47 environment variables 😂

Just something genuinely useful for a beginner.

Could be Discord, Telegram, Instagram, YouTube, Spotify, scraping, APIs, anything.

What would you recommend?

Not looking for some 14-service Docker setup with 47 environment variables 😂 Just something genuinely useful for a beginner.

Could be Discord, Telegram, Instagram, YouTube, Spotify, scraping, APIs, anything.

What would you recommend?

This story is honestly more interesting than the usual “AI is taking jobs” headline. Meta reportedly started Project OT with the idea that AI agents could take over a lot of routine work and let much smaller teams handle what remained. Some internal scenarios even looked at cutting certain teams by as much as 60%.

But the reality seems to have been much messier. Employees pushed back hard and Meta's own data reportedly showed the AI agents weren't delivering the productivity gains people expected. Zuckerberg later acknowledged that the agents hadn't progressed as quickly as hoped and the company pulled back from the larger second wave of cuts.

It makes me wonder whether AI is actually ready to replace large parts of a company or whether we're still in the stage where humans have to babysit the automation.

Do you think Meta moved too fast or is this just what early AI adoption looks like?

I kept changing tools every time I started a new project. Python for one thing, Node for another, then n8n, then some random bot framework I found on GitHub.

Eventually I realized I was making things harder than they needed to be. Now I usually start with Python or Node, use the official API when there is one, add a database only when I actually need one and keep n8n for the simple workflows.

Nothing fancy but my projects are way easier to maintain now.

What does your usual bot stack look like?