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Show HN: I'm 16 and building an AI based startup called Factful with friends

factful.io

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Re: Show HN: I'm 16 and building an AI based startup called Factful with friends

#92
post #20
post #17

Andrew, you and your friends should be proud. It's really encouraging to see people, especially in your generation, thinking seriously about the problem of misinformation. There are fundamental challenges you all will face in this idea: - most current LLMs are trained on large amounts of web data that itself contains facts, opinions, and misinformation. These things are treated equally, so I would expect the LLM to g…

Thinking out loud... I don't think these problems can be solved. If you are going to do it anyway, I would suggest: - Using a RAG architecture on top of a database of factual information. Wikipedia is probably your best bet. It is not 100% factual or correct either, but maybe as good as it gets. Scaling RAG to wikipedia size is not trivial, but I think it can be done. - Prompting the LLM to cite its sources so people…

You don't have to solve it, you just have to try...

Re: Show HN: I'm 16 and building an AI based startup called Factful with friends

#93
This is an important area of investigation, and you should be proud to take on the challenge. I would encourage you to look at the competitive landscape to get a sense of what the current state of the art is (there's definitely room for improvement), and how you might want to approach the problem differently from them.

Re: Show HN: I'm 16 and building an AI based startup called Factful with friends

#96
post #29

Is there more where we can read about how it works? I tried testing it with the sentence “Toledo is the largest city in Ohio” and it’s suggestions were to replace this with paragraphs of text about what constitutes a city in Ohio and history about Ohio, which did happen to include that Columbus is currently the largest city in Ohio. That doesn’t seem strictly helpful as a fact checker as at first glance it isn’t even…

Yea we are working on it. It is a thing that we are trying to fix, it giving too much or too little suggestions.

This is impressive for someone who is 16. My Two cents would be to add a short demo. A 30 second gif or video with accompanying text that explains how to use this. Just some kind of demonstration on how your interface works and what to expect the output to look like. And secondly to possibly help with the over suggestion/under suggestion issue, the grammar and writing assistance should be a separate mode from the fact checker.

Again, I would love to know more about how this works in the sense of how does it determine facts, and as you alluded to in other comments how it avoids political opinions.

Thanks for sharing.

Re: Show HN: I'm 16 and building an AI based startup called Factful with friends

#98
Don't hinge your business success on getting an unlimited number of humans to agree with your AI on an unlimited number of facts.

The universe of facts is infinite.

The larger a user base, the fewer facts they'll collectively agree on.

If you take on a large user base and an infinite knowledge domain, you'll lose trust with users who disagree with your fact checking (rightly or wrongly.)

Instead, give yourself a smaller scope where you can actually win. Train your tool to be a world-class fact checker in a specific domain. Then market to a userbase who explicitly already agree on the facts you check against. This smaller scope sets you up for technical success and builds experience, revenue, and user trust, all of which you can leverage to iterate into another domain more quickly.

Re: Show HN: I'm 16 and building an AI based startup called Factful with friends

#100
So I put in:

> Green Party leader Justin Trudeau was ejected from Canada's House of Commons after fiery exchanges with Prime Minister Jagmeet Singh. Mr Trudeau's removal came after he refused to apologise for calling Mr Singh a "wacko" and "extremist" during a question period.

And your service game up with

Green => Liberal; was => was not; fiery => factuality; Prime Minister => NDP Leader; "Mr Trudeau's removal came after he refused to apologise for calling Mr Singh a "wacko" and "extremist" during a question period." => did not occur as described;

What really happened was:

Conservative Party leader Pierre Poilievre was ejected from Canada's House of Commons after fiery exchanges with Prime Minister Justin Trudeau. Mr. Poilievre's removal came after he refused to apologise for calling Mr. Trudeau a 'wacko' and 'extermist' during question period.

Considering this happened yesterday, this is pretty impressive. Great work.

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