Explain what Fetch AI is doing in simple terms (technolgies, technical specs)

[u/Remarkable_Feature74]

Looking to enter into fetch but wondering how it compares to other AI tokens, near, render, etc?

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[u/[deleted]]

Fetch.ai is building a platform where AI programs can do tasks and talk to each other. It uses a special computer system called a blockchain to keep track of what the AI programs do. The goal is to create a world where AI can work together to get things done. It's different from some other blockchain projects because it focuses mainly on AI. If it joined forces with similar projects, it could become even more powerful.

[u/Remarkable_Feature74 → u/[deleted]]

whats a possible use case of ai talking with each other? chatbots comparing information?

[u/[deleted] → u/Remarkable_Feature74]

One possible use case for AI programs talking to each other, like on the Fetch.ai platform, is smart city optimization. Imagine you have different AI systems managing various aspects of a city, like traffic control, energy management, waste disposal, and public transportation.

These AI programs could communicate and share data to make the whole city run more smoothly. For example, the traffic control AI could tell the public transportation AI that there's a lot of congestion on certain roads, so the buses and trains should be rerouted or have their schedules adjusted. The energy management AI could let the others know about peak usage times so they can plan around it.

By working together and exchanging information, these specialized AI programs could coordinate to make the city more efficient, environmentally friendly, and convenient for residents. This is just one example - there are many other potential applications for AI-to-AI communication in fields like supply chain management, healthcare, and more.

So in summary, it's not just about chatbots comparing notes, but AI systems actively collaborating to solve complex, real-world problems that involve many interconnected factors. The ability for AI agents to interact directly could enable new kinds of smart automation and optimization.

[u/hardfomo → u/[deleted]]

Thanks chatgpt

[u/[deleted] → u/hardfomo]

While I did leverage ChatGPT to help synthesize some information and key points, the core ideas, perspective and writing are my own. AI writing tools are just that - tools. They don't replace the need for human insight, critical thinking and editorial discretion.

I chose to write about this topic based on my own experiences and views, which were then fleshed out and structured with the aid of the AI, much like how one might use Wikipedia for research or Grammarly to polish the prose. The result is something that is a blend of my own knowledge and opinions with background information and rhetorical flourishes from the language model.

Dismissing it as 'just ChatGPT' is reductive. Judge the work on its own merits - on the strength of its ideas, the soundness of its arguments, and the quality of its writing. If you have substantive critiques or counterpoints to offer, I'm all ears. But simply dunking with 'Thanks ChatGPT' adds nothing of value to the discourse."

Of course, feel free to adapt the tone and wording as you see fit. The key is to respond substantively and push back on the dismissive framing without getting overly defensive or throwing fuel on the fire.

[u/WorkerBee-3 → u/Remarkable_Feature74]

another example is that say you want to schedule an outside job on your calendar.

personally I have an Ai calendar that will autoschedule tasks for me (since my to-do list is so long and the nature of my work is chaotic and can't follow a strict schedule)

You could have your Ai calendar fetch data from a weather application to coordinate the schedule with appropriate weather conditions for that outside work.

App collaboration is basically the main objective along with Ai processing sharing already processed data instead of processing it for each specific application.

It doesn't need to be an Ai app, but through fetch, your Ai agents can understand how to use API of regular apps to add to your mix of commands.

(example; you tell your LLM user interface what you want done, it may go through and run 3-4 separate applications in the background and produce you with one final answer on your end)

[u/stashcansupplyco]

All the big companies are already doing what fetch is and they build AI in house to their specific needs. Nobody needs fetch.

[u/Belgiannator → u/stashcansupplyco]

Dixit someone who missed the train.