It's true that Meta's rivals do largely employ the same cocktail of video formats, recommendation algorithms, and push notifications to continuously derail their users' attention.
which is why I think like a simple drawing of a pencil can stand for writing in some ways better than a chrome pen with a reflection, which is real very fancy, but it's a very particular kind of pen that not everybody might write with.
And in all of these applications, the customer is making a decision based off of the recommendation of the AI model more or less. Uh, and this means that if the customer is ultimately like kind of making the decision, this means that if the system makes a mistake, um, that's okay because usually the person can kind of recognize that or or decide what to do even despite that mistake.
Clean Code is another standard recommendation, but that one wasn't for me. There are useful design principles in there worth studying, but the book as a whole is too narrow and a bit too dogmatic for my taste. Your mileage might vary.
Like this is actually like a new form of test time compute. Like when we talk about the scaling laws and kind of we talk about the model getting more intelligent over time, historically, it's been a function of the size of the neural net, the amount of training data, and the number of flops that you put in to the training. And then recently, we also added test time compute. So this is essentially a fancy way a researcher way of saying how many tokens does it generate. And now dynamic workflows are essentially a new way to orchestrate test time compute.
But if you want to really get into my approach, I recommend the Dalio Market Principles Online program I built with the Wealth Management Institute of Singapore, which has received a 100% recommendation rate from past participants.
The Thursday Murder Club by Richard Osman is a delightful whodunnit set at a retirement home in the English countryside. Great characters. Fun twists. An endearing sense of humor. Nothing fancy or experimental, just a pleasure to read (and what more can you ask from a book, really?). If, like me, you enjoy mysteries, you'll be in good hands with Osman.
Nippon Kodo Mori-no-KOH incense. I love this! Incredible bang for your buck, the little box feels so fancy, it smells insane. I'm burning it right now as I write.
I'm getting into screen-time blocking. I use the app Opal on a recommendation from Lucas Gelfond. It won't let me scroll Twitter, Substack, or Instagram for 80% of the day. Gmail is also blocked from 11pm to 8am.
For proper lighting I use two Elgato Key Lights (they're pricey but absolute worth it) and the Sony ZV-1 as a fancy webcam. If you're aiming for a high quality in your recordings I can highly recommend this setup.
For proper lighting I use two Elgato Key Lights (they're pricey but absolute worth it) and the Sony ZV-1 as a fancy webcam. If you're aiming for a high quality in your recordings I can highly recommend this setup.
Reality is the ultimate judge. Like physics is the law, everything else is a recommendation. I’ve seen plenty of people break the laws made by man, but none break the laws made by physics.
When I talked about will GPT12 be AGI, my answer is no. Of course not. I mean, cross-entropy loss is never going to get you there. You need probably RL in fancy environments in order to get something that would be considered AGI-like.
It just predicts what you are likely to re-Tweet and like, and linger on. That’s what all these algorithms do. It’s what Tik-Tok does, it’s what all these recommendation engines do. And it turns out that the thing that you are most likely to interact with is outrage. And that’s a quirk of the human condition.
So, my technical recommendation to Elon, and I said this on the Twitter spaces afterward, I said this many times during my brief internship, was that you need re-factors before features.
When Brian Balfour wrote, "I have never ear marked a book so much in my life. My recommendation is to just get it," I knew I had to check this out. I need to put more of the ideas into action (at which point the rating may rise), but it feels like this book is a playbook for building a monster sales machine and frankly, an amazing company all around. I wrote all over this book and filled the front and back covers with ideas from it.
A korrent is a belief a person has stated in their own words: one
sentence stating the claim, backed by a quote and a source, kept at
korrents.com.
Under a name here, the quoted block is what they actually said.
The korrent beneath it is the claim those words support, in
korrents' wording — tap it to see the record, its source, and who
else holds it.
Nobody here wrote their own korrents. They are compiled from public
statements, and a person can change their mind, which is recorded too.
About the English under a post
Some people here publish in a language other than English. Where they
do, this site shows a machine translation beneath the post, in
this typeface — the site's own, not theirs.
The post itself is never changed, moved or hidden: what is set in the
serif above is exactly what the person published, and it is what to
quote them on. A translation can be wrong in ways that matter,
especially about tone.
Only the post's own words are translated. A quoted post, a linked
article and a belief on korrents.com
are left in their original language.