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The confidence value is a good idea. I just saw a tech demo from F5 that estimated the probability that a prompt might be malicious. The administrator parameterized the tool as a probability and the logs capture that probability. Could be a useful output for future generative AI products to include metadata about uncertainty in their outputs


You could make an analogy to the engineer babysitting a self-driving car during testing: you'd need to be a better driver than most to recognize when the machine is about to make a mistake and intervene.


It really is a pretty measured and reasonable take.


This was a pleasant and encouraging article to read.

I do think that open source is slowly growing in traditional enterprises, although I think recent interest in cloud computing and artificial intelligence has pushed a lot of software contracting out of the company. Open source migrations might become harder in the future when the enterprise no longer controls their own databases and models.


This is the first time that I've noticed a website where I can add the page as an Android app. What is this called and how can I get started making my own web applications into installable apps?


I do this all the time. It's a PWA (progressive web app). To make your own, you need to add a manifest.json at the root.

Additionally, on Android, there are apps like Hermit / NativeAlpha that will create a wrapper around any site.



The author explains their reasoning in the next post: https://hackers.town/@zwol/114155807716413069


If anyone from Math Academy is reading: the price point just doesn't work for me. I'm happy to pay ~$100/year for our family's Duolingo subscription. $49/month is too much.


Pedantic nitpick: he didn't find a linear correlation.

Let x=[-5..+5] and y=[25,16,9,4,1,0,1,4,9,16,25] (that is, x²). The Pearson correlation coefficient, R², will be zero. We know that y is dependent on x, but isn't linearly dependent.


Which R-Tree Rust library were you referring to?


https://github.com/georust/rstar

Banger library. Not sure how it compares to, say, kd-tree in terms of performance but it allows for plenty of primitives.


You can also frame this as a strong-link problem. For high-aptitude students, one might argue that it's a waste to have them drill basic financial literacy when instead they need to be learning more abstract mathematics to follow pioneers like Newton, Turing, and Pearson in creating entire new disciplines.

Now, I want to constrain my thought to just the high-aptitude students with possible futures in science and engineering. I can understand educators trying to make math useful for those who won't need algebra to do calculus, calculus to do physics, and physics to do engineering.


I don't really get that point. We have decided against removing the prodigies from the normal environment so its not at all uncommon to see someone who was expected to be the most promising for society held back by a basic social or economic trap they should have avoided if they valued putting the slightest thought into our mundane things.


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