944 karma · joined June 19, 2016
There were moments when I forgot that what I was watching was AI generated.
If you uploaded a random room to the model without retraining it, you wouldn't get anything as accurate as the images in the paper.
For my personal workflow, I don’t see the appeal of having a separate setup if I’m just going to use the same underlying models anyway.
I found that have two main use cases:
1) Search - It is nice that Kagi search is less SEO spammed. That a big appeal. However, I don't reach for a search engine when I have a topical question anymore. I reach for something like o3 with search, so I don't need to dig through a bunch of articles. Over the last few years my pure search volume has dramatically reduced.
2) Maps - I travel a lot. When I toss a business into the search bar, 90% of the time I want to see it on a map. Google's Maps experience is just far superior to Kagi's. I find that I end up typing maps.google.com more often than I am happy Kagi ran the search.
I don't mind paying for a product; it just didn't work for me.
Side note: I personally dislike that their favicon looks like a "g" for google. It's always confused me.
Their website doesn’t have it, but the handwritten joke signs in the store are the best.
Ancient wheels supported weight through compression: the cart pressed down, the wheel transferred that force straight into the ground. Simple and solid.
Modern wheels? Totally different. Bicycle wheels hold weight through tension. If a bike is standing still, you could cut the bottom spokes and it would stay upright. Cut the top ones and it collapses—the rim is literally hanging from the hub.
Even car tires follow this principle. It’s not just a balloon of air under the wheel. The internal pressure forms a tensioned ring that holds the car up. The car is suspended from the tire, not resting on it.
So while the article encourages reinventing the wheel metaphorically, I can’t help but admire how we’ve already reinvented the wheel literally—by flipping the physics entirely.
If you're visual like me, this video illustrates it perfectly: https://youtu.be/8I7QsgYm_NU?si=Vz1aqpHBAPjayqlG
This raises a question for me though: why do we show the tidal bulge graphic in any educational context? Like OP, the "far bulge" was always the most surprising and difficult-to-grasp part of the image. But this explanation would indicate that the far bulge is almost totally pointless as a concept, given the complexities of the system. Given it's the least intuitive part of the image, it invites additional consideration. But it's all the wrong consideration!
The model would be more useful if it only showed the bulge on the moon side, and excluded the far side bulge. It would still be wildly imprecise, kind of like the orbital model of atoms is wildly imprecise, but at least it would be a slightly more accurate (and useful) initial mental model.
I ask because I get directed to the Apple Watch homepage.
Users are the content on social networks. If you charge them to join, you will have fewer users and less content on the network. That reduces the value so you can't charge as much, and the cycle continues.
--
There are *three* letter "R"s in the word "strawberry."
Let's break down the word to count the occurrences:
- *S* - *T* - *R* - *A* - *W* - *B* - *E* - *R* - *R* - *Y*
The letter "R" appears in positions 3, 8, and 9.
I disagree wholeheartedly with this.
IA does plenty of other awesome things - this felt like a waste of time and money.
If jury nullification is not a possible outcome, then either the defendant doesn't have a right to trial by jury, or that jury is not allowed to make an independent decision.
Defendants don't have a direct constitutional right to jury nullification (the Constitution doesn't say anything about nullification). It's just a logical consequence: if the jury really can make independent decisions, then nullification is necessarily one of those possible decisions.
This requires a lot of specialized infrastructure to be run. I really like the idea of cities investing in measures that make small positive improvements for many people. However, for Google this seems like a side project, so I have my doubts that it will be around in 5 years. Not exactly the kind of thing I want to back with long term infrastructure dollars.
The article is about the second study, which found that the original study missed these confounding variables.
Do you see something that indicates increased irrationality?
For those unfamiliar, the original study found that judges were kinder in their decisions right after lunch, and harshest right before. (I’m dramatically oversimplifying, but that’s the bit folks usually cite.)
This study contests the strength of that finding by showing that positive rulings take longer, and that you can fit more simple negative rulings in just before a break (negative rulings are denials of parole, if you’re wondering why they are faster). Judges don’t want to start complex cases that are more likely to be favorable just before break. (Again, dramatically simplifying. The article has more.)
I have cited the original study countless times, and this injects a lot more nuance for me. I’m glad it was revisited.