This is noted and considered out of scope:
>Obviously some traits are more genetic, and thus inherent, than others, but that is not the scope of this post as even highly-heritable traits will result in a large distribution of outcomes.
This is noted and considered out of scope:
>Obviously some traits are more genetic, and thus inherent, than others, but that is not the scope of this post as even highly-heritable traits will result in a large distribution of outcomes.
Sure, and they even go on to say that the article is about “what helps to explain the differences in outcome between two genetically identical people.” However it’s clear that is not actually what the article is about and they do talk about traits that are highly heritable and not shown to be dependent on environment and life experience.
How do they expect to lead in identifying fake content when the problem is intractable if adversaries are even somewhat competent?
You can collect heuristics which may work here and there to stay ahead in this cat and mouse game, but when adversaries use AI models properly, there is no way to differentiate.
You can even follow the Amazon Mechanical Turk [1] + ChatGPT + editors type of workflow which will be indistinguishable from a real content? I am eager to see what arises from this acquisition. I remember using Disqus in Wordpress to expect more competitive spam detection. The result? It didn't even detect obvious network bots. Fakespot raised $ 5.3m [2]. Is there a disclosure of the number for this acquisition? [3].
The problem is not intractable if the analysis of reviews is statistical and reputation-based instead of content-based. They can look at how many reviews were added over time, how the product page has changed over time, if the reviewers are genuine users or if they only leave 5-star reviews on a handful of sketchy products, etc.
Of course, it would be much easier for Amazon to do this, because they could look at IP addresses, purchase history, mailing address, etc. - but it's in their best interest to let the spam continue, apparently.
This is the oldest conundrum in Trust & Safety. The target party (Amazon) has pretty much all of the rich data (IPs, cards, addresses) while the interested party (usually a small company) is trying to scrape their way to solve a problem that the first party is half-assed interested in solving because they (1) have an internal "abuse" team to deal with it already and/or (2) are probably making money by keeping the problem alive either directly or indirectly.
As if the above is not already, there's one more complication: the interested small company needs to pitch their solution as a service to the platform because in general that's the only interested party of real business value. i.e. end users would not pay for such protection or won't pay enough.
Apply it to social media impersonation and scams, Adtech scams, etc etc.
I have been taking rapamycin for many years now. It's obviously not ready for anywhere near the general public and is never something I'd suggest to someone at this point, but my own results have been wonderful and my blood panels and energy levels are great. If I had to guess, when properly used, this would probably add a full 5-10 years onto the lifespan of a lot of people. When combined with many other promising treatments, I think we could easily add 10-15 years onto most peoples' health+lifespans.
I play it fine on Linux through Steam/Proton with a Valve Index. If you have a Quest it may be quite difficult, but it should be fine without VR as well
There's also a lot of literate on e.g. automatic manga coloration, auto-translation, image superresolution, anime frame interpolation, and much more. Worth checking out some places like https://old.reddit.com/r/AnimeResearch/ if you're interested!
Koe AI | Machine learning/Audio Engineer | Remote / Austin | Full or Part Time | https://koe.ai/ (full website coming soon)
We are currently a team of one person (me!) working on releasing consumer products that perform real-time voice and singing conversion using machine learning (converting the sound and timbre of voices, generally, but other things as well). Although we haven't shipped our initial version yet, the workload is getting to be a bit too much for me to handle everything on my own, and I'm looking for someone with great passion for this specific mission and some strong engineering ability in machine learning and audio to help make some really exciting products (please only reach out if you have strong machine learning experience!). If this sounds interesting to you, please reach out via email to 'hi' at the above .ai domain with some information about yourself and your CV!
There are anthropologists and sociologists out there. In case someone is interested in a more nuanced perspective than this “warm fuzzies” from a random MIT grad technologist.
We have better technology (and thus immersion) now. It's a simple answer, but I think largely sufficient enough to explain why things may be quite different now.
The immersiveness that can be attained via modern high-end VR systems is simply not comparable to what we had a decade ago; it enables many more use cases and paradigms that wouldn't have felt usable, interesting, fun, or sometimes even particularly social in the past. To me at least, VR/AR seem like a pretty large medium shift, and I really expect them to stick around and become a large part of society.
Moved to Austin this year myself, I think it's a great choice for everything you've listed (although the cost is getting up there, but still affordable in many areas!). I'm definitely not planning on leaving anytime soon with how nice it's been.
Thanks for your feedback! I'm glad to hear it has gone well for you. I visited Austin last week for Levitation music fest and quickly became fond of the city and weather. Hopefully I'll be back there soon for a longer stay.
