Follow Slashdot stories on Twitter

 



Forgot your password?
typodupeerror

Comment Ad revenue (Score 1) 29

Much of the internet runs on ad revenue..
And people go to fewer and fewer websites. Gone are the days that people just browsed around on websites. Social media feeds you what you want now.
So yeah, it's time for a business model disruption.

Big AI companies can now own a new window to all apps. Making ad revenue hard to share.

Comment ClosedAI (Score 2) 60

OpenAi was founded as a non-profit to develop OPEN AI tech for all. So that companies like Google wouldn't monopolize that field.

Instead it closed the door. Other companies followed suit.

Except this little company in China that keeps delivering bombshells and sharing tricks with the world.
Good for DeepSeek. Open source lovers around the world should be appreciative.

Comment Re:Generative vs Factual (Score 1) 90

Did you read the paper?

The paper is about whether we reinforce it to answer correctly (whatever that means) vs it simply saying "I don't know".

Most LLMs are rewarded when they give a correct answer. Say: 1 for correct, and 0 for incorrect.
So they are rewarded to always try an answer even when they aren't certain. The paper suggests rewarding "I don't know". For example, you could give 0.2 points for saying "I don't know", 0 for incorrect, and 1 for correct. This way the model will try to answer but only when it meets a certain threshold.

All generative models are generative. What they generate is the most probably text. What you consider as most probable text would depend on several factors (esp. the data set). But during the reinforcement learning phase they can teach it to say "I don't know" so it plays nicer with humans that expect answers that are more than just gramatically correct.

Comment Re: So... (Score 2) 36

"However, quantum computing can, in theory, solve certain NP complete problem in polynomial time."

If you can solve one NP complete problem in polynomial time, you can solve them all.

Quantum computers can't solve NP complete problems in polynomial time. That is incorrect.
But it can solve some other troublesome problems that can't be solved in polynomial time with a conventional computer.

Slashdot Top Deals

If this is timesharing, give me my share right now.

Working...