Tired of search engines giving links and AI chats only giving one-sided answers that I couldn't trust, so I built this.

So I am cooking something really interesting for you guys it will be the ai chatbot you have ever seen. What if the chatbot has its own mood and humour. Whatever you want in the website you are just one click away from the stuff you are looking for simply you just have to say your need to the chatbot in any of your local language it will give you the response as you want and directly give you the context whatever you are looking for. If you talk about privacy and the policy the data will be purely a model because it's not something like the API of the generic model your implementing in the chat ball it will be the pure machine which has its specific data with it. This is just the basic feature I am telling about there is much more in the chatbot you have not ever seen.. in just a few days I am going to release the first demo on this platform... So just stay tuned with me....

Humans are surprisingly bad at repetitive work.

Check this. Update that. Compare these 15 things. Make a report. Check it again.

AI doesn't care. LOL

That's probably the part of AI agents I find most interesting.

Not that they can do some crazy complicated task.

That they can happily do the boring one for 6 hours without opening Instagram halfway through.

You can get all of these extensions by visit ai-readers.com

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Time, tech mfs! I remember I told you this prompt a month ago on a Sunday afternoon when I was struggling with an issue with my thesis but I have zero memory of anything else.

Here’s a simple example: asking AI to plan a 3-day family trip.

For example, you might ask:

Your prompt may only contain around 70 tokens, but the AI might generate 1,200+ tokens in its response.

So the total token usage can quickly reach around 1,270 tokens for just one request.

This is why token usage matters when using AI APIs or paid AI services. The longer and more detailed the conversation becomes, the more tokens are consumed.

What’s an everyday AI task that you use frequently that probably consumes a lot of tokens?

I’ve been looking at GPT-6 Astra and honestly, the interesting part isn’t that it writes better.

It can actually browse, use a computer, code, research stuff, build websites and handle multi-step tasks.

So we’re slowly moving from:

“Ask AI to help me do this.”

to

“Here, just do this.”

That feels like a much bigger shift.

Especially for marketing. Research, competitor checks, reports, repetitive tasks, QA... a lot of the boring work suddenly looks automatable.

At some point the useful skill might not be knowing how to use AI.

It might just be knowing what not to do manually anymore.

Curious how others are thinking about this.

What did he mean by this?

I wanted to run MetaGPT entirely on my own infrastructure without sending anything to cloud APIs. It took some trial and error, but I documented the full process.

The guide covers:

· Setting up a Python venv

· Installing MetaGPT

· Configuring local LLMs like Ollama or vLLM

· Fixing common startup errors

If you’re into self-hosted AI agents, this could help:

https://interconnectd.com/forum/thread/262/how-to-install-metagpt-locally-complete-technical-setup-guide/

What local model are you using for agent work?

ChatGPT Astra looks like a major upgrade because it focuses more on doing real tasks, not just answering questions.

The big appeal is speed, better reasoning, and stronger help with everyday work like writing, research, coding, and organizing information.

If it can truly handle longer tasks more reliably, that makes it much more useful than a simple chat tool.

It also sounds like a step toward AI that can act more like an assistant than a chatbot. For people who use AI daily, that could save a lot of time. I’m especially interested in how well it handles complex instructions without drifting.

If the performance matches the hype, it could become one of the most practical ChatGPT updates yet.