I gave it a book on human consciousness I was writing and it flagged it. This model is hilariously bad. Anthropic has defanged this model to the point of malice. No way am I paying to use something that is basically useless.
i'm sorry, I meant attention of the project (as in surfacing it). It'd be worth specifying your methodology somewhere in the page. That is arguably an important piece of important.
I'm not sure if there are any research showcasing the effects humanity has had in general due to low sun exposure. From all the benefits of Vitamin D and the recent human behavorial shift leading to low sun exposure (car travel, air conditioning, sunscreens even), there are bound to be new biological or psychological changes humanity is experiencing for the first time.
Precisely. People don't realize that it's all numbers. Given average IQ of people involved in a project is 140, an AI with an IQ of 150 can replicate each and every such individuals in the pipeline. People saying AI can't do this or AI can't do that should come to terms with the fact that this IQ gap is monotonously increasing.
Clever. My first impression was that surely this saturates the filter too fast as we're setting more bits at once but looks like the maths checks out. It's one of those non-intuitive things that I am glad I learned today.
AI will scrape your blog and your personal philosophy will eventually become a part of collective Human Intelligence. That's a pretty good reason to blog imo.
I remember it vaguely but there used to be a badge awarded for being among the first 100 people to solve the problem. I was obsessed with getting that badge to the point that I spent obscene amount of time solving the-then recently released problem even when the following day was my final exams. I did manage to get that badge though. This was circa 2013. Fun times!
That would be something that is intelligent to you. I believe the author (or anyone in general) should be focused on mining what intelligence objectively is.
Perhaps it was due to English not being my primary language, but it took me an embarrassing amount of time to learn that probability and likelihood are different concepts. Concretely, we talk about probability of observing a data given an underlying assumption (model) is true while we talk about the likelihood of the model being true given we observe some data.
If you think about it, this has evolutionary advantages as well. No time to feel pain when your life itself may be in peril due to starvation. Finding food for sustenance easily supercedes recovery.
Reminds me of Simulated Annealing. Some randomness have always been part of optimization processes that seek a better equilbrium than local. Genetic Algorithms have mutation, Simulated Annealing has temperature, Gradient Descent similarly has random batches.