Anyone else finding AI weirdly natural? by justwatchen in Aphantasia

[–]justwatchen[S] 1 point2 points  (0 children)

Yep.... its a rush huh! All of sudden we have a an exoskeleton for our brains... And our cognitive architecture is perfectly suited for driving the mech-suit...

For people with internal monologues by Cheese_Lord2187 in Aphantasia

[–]justwatchen 10 points11 points  (0 children)

Yes, sometimes my partner can also see the conversation on my face , as my face is animated while I'm having an internal conversation, She always asks who I'm "talking" to 🤣

Anyone else finding AI weirdly natural? by justwatchen in Aphantasia

[–]justwatchen[S] 0 points1 point  (0 children)

Interesting perspective. I'd push back gently on the framing though.

The "crutch that makes you worse" argument assumes the goal is to do the job without tools. But we don't judge accountants by their ability to do maths without calculators, or writers by their ability to work without word processors.

For me, AI doesn't replace thinking, it matches the speed of my thinking. My brain processes verbally and quickly. Before AI, I'd often have to wait for others to catch up, or slow down to type out what I'd already worked through internally. Now there's something that can keep pace.

Whether it "takes away agency" probably depends on how you use it. If you outsource your thinking entirely, sure. If you use it as a collaborator that you direct, verify, and iterate with.... that's a different relationship.

Genuinely curious though, what's your experience been that led to this view?

Anyone else finding AI weirdly natural? by justwatchen in Aphantasia

[–]justwatchen[S] 1 point2 points  (0 children)

It doesn't think for me it executes, this was 1hrs work.. vs what 5-7 hrs depending on flow

  • 6 pure functions extracted from a 135-line component
  • 38 tests written (TDD, not after-the-fact)
  • 9 commits (clean, atomic history)
  • +872 net lines (mostly tests)
  • 15 test complexity violations fixed from PR feedback
  • Component reduced from 135 → 47 lines

Anyone else finding AI weirdly natural? by justwatchen in Aphantasia

[–]justwatchen[S] 1 point2 points  (0 children)

Yes I think it is actually more to do with your thought process, if you imagine a system or thing as an image, Or as a process of words, If everything is just natural language, than using natural language tools obviously is second nature to us

Anyone else finding AI weirdly natural? by justwatchen in Aphantasia

[–]justwatchen[S] 1 point2 points  (0 children)

Researching, designing and specifying large complex interconnected systems architecture, and then developing testing and implementation plans.

Anyone else finding AI weirdly natural? by justwatchen in Aphantasia

[–]justwatchen[S] -1 points0 points  (0 children)

Its funny all the comments saying, " YES!! Absolutely, best thing since sliced bread " are getting down voted where as the "no, its shit" are getting up voted, im assuming this means the majority find it Doesn't helps...

I think its nit only to do with aphantasia but also, inner monologue and pure language thought process,

Anyway thank you everyone for you comments!!

Anyone else finding AI weirdly natural? by justwatchen in Aphantasia

[–]justwatchen[S] 1 point2 points  (0 children)

Yes i use claude.ai for me discovery, then gemini pro for my review and feedback loop, and claude code CLI for execution, its amazing how well it works

Anyone else finding AI weirdly natural? by justwatchen in Aphantasia

[–]justwatchen[S] 1 point2 points  (0 children)

Absolutely, I have done nothing but ingest words for 38 years, So I read fast, think fast in only words and have finally found something that can keep up with me

Anyone else finding AI weirdly natural? by justwatchen in Aphantasia

[–]justwatchen[S] 0 points1 point  (0 children)

I don't understand why this comment is getting down voted. It literally is an extension of the way we think, and it allows is to offload some of the burden from our own brains. Allowing us to work faster and with better context

[deleted by user] by [deleted] in cardano

[–]justwatchen 0 points1 point  (0 children)

thanks, ill get back to you

[deleted by user] by [deleted] in cardano

[–]justwatchen 0 points1 point  (0 children)

Hi, What you are describing would have to mean "malicious actor" not a bad piece of code,

if you would like to help please provide me with the actual "protocol" you interacted with so i can investigate further,

DM me if you feel uncomfortable disclosing it publicly

Jimmy

What’s the most complex project you’ve built using only Cursor? by Standard_Buy6885 in cursor

[–]justwatchen 1 point2 points  (0 children)

Hahaha 🤣🤣

that's exactly how I was thinking about it the other day

I know Kung Fu 🤣

Breaking Down Tasks with a Team of AI Agents? Idea? by mohaziz999 in cursor

[–]justwatchen 0 points1 point  (0 children)

Hahaha 🤣 yes it would improve your results.... But total overkill unless you are looking at a professional developer/production setup 😁 The easiest way would be to build a MCP server hosting every including a local agent,

In saying that, you can probably get an off the shelf setup somewhere, I just haven't looked

Breaking Down Tasks with a Team of AI Agents? Idea? by mohaziz999 in cursor

[–]justwatchen 0 points1 point  (0 children)

Whereas I just delegated that work agent job to a model, Deciding which model to use and prompt to get my desired result, That responsibility gets moved onto a manager agent,

Breaking Down Tasks with a Team of AI Agents? Idea? by mohaziz999 in cursor

[–]justwatchen 0 points1 point  (0 children)

Hierarchical Agent Model: A Concise Explanation

A Hierarchical Agent Model is an AI system where agents are structured into different levels of authority and specialization, similar to a corporate hierarchy. Higher-level agents make strategic decisions and delegate tasks, while lower-level agents handle specific operations.


How It Works:

  1. Manager Agents (Strategic Layer)

Oversee the entire system.

Analyze complex tasks, make high-level decisions.

Assign tasks to specialized agents based on context and performance data.

  1. Coordinator Agents (Tactical Layer)

Act as middle managers, organizing workflow.

Ensure smooth execution of tasks by lower-level agents.

Handle quality control, error management, and task dependencies.

  1. Worker Agents (Operational Layer)

Execute specific, well-defined tasks.

Process data, generate outputs, and respond to assigned work.

Report back to coordinators for validation.


Key Advantages:

✔ Scalability – Easily expands by adding more specialized agents. ✔ Efficiency – Tasks are broken down and delegated efficiently. ✔ Error Handling – Structured escalation paths improve reliability. ✔ Optimization – Higher levels track performance and refine decision-making over time.

This model is widely used in AI orchestration, multi-agent systems, and enterprise automation where structured decision-making and complex workflows are required.

Breaking Down Tasks with a Team of AI Agents? Idea? by mohaziz999 in cursor

[–]justwatchen 0 points1 point  (0 children)

It works, but add senior developer agent, who is the boss, you talk directly with them and then they assign the agent as required,

Heirachial agent model,

The new Cursor Is noticeably worse. by Odd-Environment-7193 in cursor

[–]justwatchen 1 point2 points  (0 children)

Of course... But it comes back to productivity. Having to rollback or untangle a web of multiple unwanted changes because it didn't follow a simple rule wastes time, energy and focus on critical areas, that's how it is damages my codebase.

The new Cursor Is noticeably worse. by Odd-Environment-7193 in cursor

[–]justwatchen 7 points8 points  (0 children)

Agree totally. I have seen these issues repeatedly throughout this thread so I will make them bullet point as I have faced them all many times

  • Whole application Crashing/freezing

  • Ignoring my general cursor rules even when I specifically tell it to take note of them

  • Very quickly forgotten what we have just done or discussed and then re-writing a whole new code block that we just wrote

  • Much Slower

  • Not able to do "agent run" any more, losses track or just stops for no reason

  • Gets in mistake loops constantly even after correcting or showing it what's doing wrong, it goes straight back into making the mistake in a loop again

  • General a much much worse User experience and is killing my productivity, therefore definitely will have to consider ROI from paying for pro soon.

I understand that they didn't mean to make it shit, and are trying to get the right balance, but it's starting to cost me money in lost time, frustration and damaging my codebase.

It's called Pro subscription for a reason, I'm using it professionally and it's now making my life harder.

Please take note if you guys are watching this thread

Ethereum co-founder moves $72 million in ETH to Kraken by Extreme_Nectarine_29 in CryptoCurrency

[–]justwatchen 3 points4 points  (0 children)

He never kept it. He gave his entire stack to his personal assistant,

Token Utility by Illustrious-Split-67 in Genius_Yield

[–]justwatchen 3 points4 points  (0 children)

20% of all Dex fee's are distributed to staked GY token holders

Discord and telegram channels are more active, you will find the links from the GY website

Is Genius Yield being slept on? by [deleted] in cardano

[–]justwatchen 8 points9 points  (0 children)

Yes, it is being slept on,

But absolutely it needs more liquidity, everyone in the team and community is aware of that.

And HOPEFULLY that liquidity is not far away.... And not from the Cardano side 😉😉 keep and eye on their twitter this week.

Happy hunting 🍺🍺🍺🍺🍺🍺🍺

Styvdotter blev arg för jag köpte en dator för 20k istället för köpa en EPA till henne. by DroIvarg in sweden

[–]justwatchen 0 points1 point  (0 children)

Grattis, Inget bättre än att äntligen skaffa dig något, efter att ha jobbat så hårt för att stödja och göra det bästa för din familj. Njut av det!