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We had this long-standing papercut at Linear where the menu items overflow their outer container. It was hard to fix, or so I thought, because the structure is pretty complicated given all the design details, so a simple overflow: hidden wouldn’t work as it would break the animation. But...

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Emil Kowalski

86,302 subscribers

117,738 Aufrufe • vor 11 Tagen •via X (Twitter)

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I updated the website! Take a look at all the categories and art that @DollyJKazoo designed! It was so cool being able to make art for all of the products we have. The collections have grown so much over the years that we just needed to do a makeover so we can fit all of our items on the home page and make it look more pretty~ Also a sneak peek of our mascot Baby Finn the Giraffe making a comeback! Lastly, I realized after I recorded this, so the tabs at the bottom will only be available on the website if you want to have an easier log-in experience. Which the app is available on Apple and Android. Just search “Lil Comforts” on your appstore!
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I updated the website! Take a look at all the categories and art that @DollyJKazoo designed! It was so cool being able to make art for all of the products we have. The collections have grown so much over the years that we just needed to do a makeover so we can fit all of our items on the home page and make it look more pretty~ Also a sneak peek of our mascot Baby Finn the Giraffe making a comeback! Lastly, I realized after I recorded this, so the tabs at the bottom will only be available on the website if you want to have an easier log-in experience. Which the app is available on Apple and Android. Just search “Lil Comforts” on your appstore!

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I wanted to wait until the con is pretty much over. I reported this to Twitch Staff mid block party immediately, but there were souvenir switchblades available for purchase (or literally grab and walk out with) at one of the shops in the Block Party Gaslamp area. It was a whole collection with different names engraved so anybody could reach and grab it at any height. It was towards the back corner of the shop so you had to walk in and really browse to notice it. The shop itself was also at the very back corner so there was barely anybody browsing it. However when my group all saw this at the same time - we all had the same concerned look without even saying a word. We noticed these the 1st hour of the Party so I immediately wanted to leave.

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004/100 Buttons. A bit of the process on building an animation. When looking at a finished animation or in this example a finished button, it can look quite complex inside the CSS. But when building it, it’s more like a lot of simple steps, one after another. Here I had the idea to make some kind of text animation like the footer logo on the Osmo site. I try to add the base animation with no complex easing, for example transition: translate 0.4s ease. Starting with just moving the one text from bottom to top and the other text to top. Adding a stagger, play around with it. Searching for a way to make it more circular. On the research I found the sin() function inside CSS which can build a more smooth non linear curve for the stagger which creates this circular effect. And step by step adding more complexity like, different easing for hover/hover-out, opacity, 3D transform and more. I use also the sin() function to rotate the letters, so the middle ones are getting more rotated than the outer ones. Another thing which helps is to add a small delay on hover, for example 0.05s or 0.1s, you don’t really see the difference, but when you hover pretty fast on and out it doesn’t get that jumpy. I’m using here GSAP’s SplitText to split every char into spans. And then I’m adding a CSS index variable to every span, starting from the center. SplitText can provide CSS index variables, but you cannot tell it from which direction. For the sin() it’s also important to have a max length, so I add another CSS variable with the max char number on it. Crafting 100 Buttons with Osmo ⏳ Total time: 63h

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peak bengaluru moment booked an auto through ola for a ride that was almost an hour long ... the driver asked for extra money even before the trip started ... i said i will see to it once we reached because i didn't want to argue before the ride when we finally reached i took out cash to pay the fare ... he refused to accept it and said "am i a beggar" because he wanted upi only ... somehow i ended up being the one saying sorry just to avoid creating a scene after that attitude i didn't pay the extra amount he had asked for at the start came back to bengaluru after a long time and this was the first experience i had ... since when did paying in cash become a problem ... and are ola and uber auto drivers even allowed to demand extra money before the ride starts ... genuinely asking

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An interesting issue with Tesla Robotaxi where it took us to a Starbucks, but the Google data had the incorrect location. At drop off we were 0.2 miles from the Starbucks, so we had a short walk. Is there a way the Tesla AI team could add functionality in the app so riders can update map info to correct errors or inaccuracies on the underlying map data and then this propagates to the fleet? Being able to do this with a pin drop on the map instead of having to use an address might make this very easy and user friendly! Or, as a bigger ask, would it be possible for the car to be able to use visual images on its own to look for a Starbucks sign and on the fly, get us closer and update the map data on its own?

Joe Tegtmeyer 🚀 🤠🛸😎

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Today I had my first demo drive in a Tesla. It was also my first time ever sitting in one. This was the first car I’ve ever sat in the driver’s seat of where I didn’t touch the steering wheel for over 20 miles. Before I even got to the car, the people who had demoed it before me were an older married couple who were absolutely euphoric. They thought it was so cool that the car could drive itself. The Tesla employee told me this happens all the time. People come back from demo drives and tell the next test driver that they’re about to have an amazing experience. Little did I know, I’d end up carrying on the torch to the next couple demoing it after me. There was a ton of construction where I demoed the car, and FSD handled the entire drive extremely well. And yes, it can go through a drive-thru and stop at each window. The only thing I had to do was tap the pedal because it wouldn’t leave on its own, but it was still wild seeing the AI stop perfectly at the second window and wait. There are a million things I could write about why a Tesla feels like a better car and how much more it offers compared to a regular car. But for now, I’ll stick to FSD. There were only two moments that made me a little uneasy. The first was pretty minor. The car slightly hesitated going up a driveway, but quickly made up its mind. The second was more noticeable. I didn’t realize the car was nagging me. Once I touched the steering wheel, nothing happened, so I pulled it right a little harder, then let go. After that, the car turned left and crossed a double yellow on a backroad. (and yes I know you can sue the volume knob) I’m not totally sure if it was trying to pull over or what it was doing. I wanted to see how it would handle the situation, but there were cars coming, so I took over and corrected it. One of the coolest moments was when I thought FSD was glitching because it came to a complete stop in the middle of a busy road. Then I looked around and realized why. On the right side, there was a bicyclist waiting at a yellow crosswalk. The cars behind me didn’t honk, and the Tesla stopping actually incentivized another car in the right lane to stop and let him pass. The car is almost too nice to pedestrians, because 99.999% of humans would’ve blown through that, especially with no flashing light. For 99.9% of the drive, the car navigated confidently and smoothly. It was a real “feel the AGI” moment. Please do not let the media, the general public, or anyone else convince you that this technology is just some kind of auto assist or glorified cruise control. This is undoubtedly getting extremely close to feeling superhuman. You still have to pay attention to the road, but after experiencing it myself, I’d be shocked if HW4 Teslas aren’t unsupervised within the next couple years. The car was extremely smooth. There was no harsh braking, and it even avoided something in the road that I didn’t see. Driving with FSD made me realize I probably wasn’t driving as well as I could be. Hopefully, eventually, everyone’s car can be as mindful as a Tesla. I’ve never seen a brand so far removed from the public’s sentiment. I’m so happy I ordered one.
0:14

Today I had my first demo drive in a Tesla. It was also my first time ever sitting in one. This was the first car I’ve ever sat in the driver’s seat of where I didn’t touch the steering wheel for over 20 miles. Before I even got to the car, the people who had demoed it before me were an older married couple who were absolutely euphoric. They thought it was so cool that the car could drive itself. The Tesla employee told me this happens all the time. People come back from demo drives and tell the next test driver that they’re about to have an amazing experience. Little did I know, I’d end up carrying on the torch to the next couple demoing it after me. There was a ton of construction where I demoed the car, and FSD handled the entire drive extremely well. And yes, it can go through a drive-thru and stop at each window. The only thing I had to do was tap the pedal because it wouldn’t leave on its own, but it was still wild seeing the AI stop perfectly at the second window and wait. There are a million things I could write about why a Tesla feels like a better car and how much more it offers compared to a regular car. But for now, I’ll stick to FSD. There were only two moments that made me a little uneasy. The first was pretty minor. The car slightly hesitated going up a driveway, but quickly made up its mind. The second was more noticeable. I didn’t realize the car was nagging me. Once I touched the steering wheel, nothing happened, so I pulled it right a little harder, then let go. After that, the car turned left and crossed a double yellow on a backroad. (and yes I know you can sue the volume knob) I’m not totally sure if it was trying to pull over or what it was doing. I wanted to see how it would handle the situation, but there were cars coming, so I took over and corrected it. One of the coolest moments was when I thought FSD was glitching because it came to a complete stop in the middle of a busy road. Then I looked around and realized why. On the right side, there was a bicyclist waiting at a yellow crosswalk. The cars behind me didn’t honk, and the Tesla stopping actually incentivized another car in the right lane to stop and let him pass. The car is almost too nice to pedestrians, because 99.999% of humans would’ve blown through that, especially with no flashing light. For 99.9% of the drive, the car navigated confidently and smoothly. It was a real “feel the AGI” moment. Please do not let the media, the general public, or anyone else convince you that this technology is just some kind of auto assist or glorified cruise control. This is undoubtedly getting extremely close to feeling superhuman. You still have to pay attention to the road, but after experiencing it myself, I’d be shocked if HW4 Teslas aren’t unsupervised within the next couple years. The car was extremely smooth. There was no harsh braking, and it even avoided something in the road that I didn’t see. Driving with FSD made me realize I probably wasn’t driving as well as I could be. Hopefully, eventually, everyone’s car can be as mindful as a Tesla. I’ve never seen a brand so far removed from the public’s sentiment. I’m so happy I ordered one.

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Earlier today I was ironing some clients clothe with the gas iron when I had the sudden urge to use the toilet. I turned off the gas and went to the toilet. I went about with other things when I came out thinking the iron was off. Next thing I heard was Mummy your table is burning. I rushed down to find that the gas was still on and I had only increased the heat instead of turning it off. What amazed me was that the rubber iron mat that came with it didn't burn but everything beneath it melted. Does anyone know the kind of material they use in making the mat? Alhamdullilah, what if it happened during the week when my kids are not around? Why is it so hard to fix the power problem in this country so we don't have to resort to endangering our lives trying to solve problems that we shouldn't be having in 2026? In all, Alhamdullilah.
0:10

Earlier today I was ironing some clients clothe with the gas iron when I had the sudden urge to use the toilet. I turned off the gas and went to the toilet. I went about with other things when I came out thinking the iron was off. Next thing I heard was Mummy your table is burning. I rushed down to find that the gas was still on and I had only increased the heat instead of turning it off. What amazed me was that the rubber iron mat that came with it didn't burn but everything beneath it melted. Does anyone know the kind of material they use in making the mat? Alhamdullilah, what if it happened during the week when my kids are not around? Why is it so hard to fix the power problem in this country so we don't have to resort to endangering our lives trying to solve problems that we shouldn't be having in 2026? In all, Alhamdullilah.

Halimah Ahmed (Tiwal'adire)

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So last night at the movies, I got a notification that my right tire pressure was low, almost flat. I feared that someone had slashed it, but after the movie was done, went outside to check. We found a nail in the tire immediately and I was so happy that I used my referral credits just last week to purchase a tire air compressor in the Tesla shop. I had credits that were going to expire and I figured while I might as well get some safety related things to put in my car since I’m having a baby soon and immediately had a use for it!! This thing works amazingly. I just thought that the timing was so serendipitous and wanted to share. Someone on X recommended I get one for my trunk and so thank you, great product!
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So last night at the movies, I got a notification that my right tire pressure was low, almost flat. I feared that someone had slashed it, but after the movie was done, went outside to check. We found a nail in the tire immediately and I was so happy that I used my referral credits just last week to purchase a tire air compressor in the Tesla shop. I had credits that were going to expire and I figured while I might as well get some safety related things to put in my car since I’m having a baby soon and immediately had a use for it!! This thing works amazingly. I just thought that the timing was so serendipitous and wanted to share. Someone on X recommended I get one for my trunk and so thank you, great product!

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0:11

chanyeol was back to work just 2 days after their seoul concert and he also briefly mentioned why he cried 🍒 : our concert wrapped up 2 days ago and we had a team dinner. the aftermath is still hitting me pretty hard, so i ended up wearing glasses today. my eyes just won't open all the way 🍒 : we had the team dinner 2 days ago and i was fine yesterday, but... 📽 : we heard you cried alot during the concert 🍒 : oh, so maybe that's why my eyes are swollen! i really thought i wouldn't cry, i didn't cry on the 1st and 2nd day.. but on the 3rd day, a lot thoughts/emotions just came rushing in [so i cried]

NLNL 🍒🔥

35,397 Aufrufe • vor 3 Monaten

Hard work never goes to waste. I came a long way. I always believed in myself but I never thought at this age I would headline in the indigo o2. Hard work and dedication. I trained so hard for this fight and it paid off. On the next one 🇸🇴
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Hard work never goes to waste. I came a long way. I always believed in myself but I never thought at this age I would headline in the indigo o2. Hard work and dedication. I trained so hard for this fight and it paid off. On the next one 🇸🇴

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Ok, so we have a bit of a pickle. In media reports, they say the pendant Charlie was wearing had to be ripped off his body as the medics tried to stop the bleeding. So, either the report is wrong (exaggerated) and that is his necklace. Or it’s an earpiece… or… hell, I don’t know. It doesn’t look like blood. 🤷 I really wish they’d give more details about this because it only leads only to speculation.

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14,951 Aufrufe • vor 10 Monaten

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This guy used a car jack to lift an entire sidewalk and injected polyurethane underneath to stabilize and level it. This type of job can cost all the way up to $25 a square foot. But….. hear me out here, what if we just kept the jack in the ground and buried the $50-$100 jack right where it’s at? Wouldn’t that save a ton of money? Could it work? Would it work?

👉M-Û-R-Č-H👈

5,674,502 Aufrufe • vor 3 Monaten

I had the same thought so I've been playing with it in nanochat. E.g. here's 8 agents (4 claude, 4 codex), with 1 GPU each running nanochat experiments (trying to delete logit softcap without regression). The TLDR is that it doesn't work and it's a mess... but it's still very pretty to look at :) I tried a few setups: 8 independent solo researchers, 1 chief scientist giving work to 8 junior researchers, etc. Each research program is a git branch, each scientist forks it into a feature branch, git worktrees for isolation, simple files for comms, skip Docker/VMs for simplicity atm (I find that instructions are enough to prevent interference). Research org runs in tmux window grids of interactive sessions (like Teams) so that it's pretty to look at, see their individual work, and "take over" if needed, i.e. no -p. But ok the reason it doesn't work so far is that the agents' ideas are just pretty bad out of the box, even at highest intelligence. They don't think carefully though experiment design, they run a bit non-sensical variations, they don't create strong baselines and ablate things properly, they don't carefully control for runtime or flops. (just as an example, an agent yesterday "discovered" that increasing the hidden size of the network improves the validation loss, which is a totally spurious result given that a bigger network will have a lower validation loss in the infinite data regime, but then it also trains for a lot longer, it's not clear why I had to come in to point that out). They are very good at implementing any given well-scoped and described idea but they don't creatively generate them. But the goal is that you are now programming an organization (e.g. a "research org") and its individual agents, so the "source code" is the collection of prompts, skills, tools, etc. and processes that make it up. E.g. a daily standup in the morning is now part of the "org code". And optimizing nanochat pretraining is just one of the many tasks (almost like an eval). Then - given an arbitrary task, how quickly does your research org generate progress on it?
0:19

I had the same thought so I've been playing with it in nanochat. E.g. here's 8 agents (4 claude, 4 codex), with 1 GPU each running nanochat experiments (trying to delete logit softcap without regression). The TLDR is that it doesn't work and it's a mess... but it's still very pretty to look at :) I tried a few setups: 8 independent solo researchers, 1 chief scientist giving work to 8 junior researchers, etc. Each research program is a git branch, each scientist forks it into a feature branch, git worktrees for isolation, simple files for comms, skip Docker/VMs for simplicity atm (I find that instructions are enough to prevent interference). Research org runs in tmux window grids of interactive sessions (like Teams) so that it's pretty to look at, see their individual work, and "take over" if needed, i.e. no -p. But ok the reason it doesn't work so far is that the agents' ideas are just pretty bad out of the box, even at highest intelligence. They don't think carefully though experiment design, they run a bit non-sensical variations, they don't create strong baselines and ablate things properly, they don't carefully control for runtime or flops. (just as an example, an agent yesterday "discovered" that increasing the hidden size of the network improves the validation loss, which is a totally spurious result given that a bigger network will have a lower validation loss in the infinite data regime, but then it also trains for a lot longer, it's not clear why I had to come in to point that out). They are very good at implementing any given well-scoped and described idea but they don't creatively generate them. But the goal is that you are now programming an organization (e.g. a "research org") and its individual agents, so the "source code" is the collection of prompts, skills, tools, etc. and processes that make it up. E.g. a daily standup in the morning is now part of the "org code". And optimizing nanochat pretraining is just one of the many tasks (almost like an eval). Then - given an arbitrary task, how quickly does your research org generate progress on it?

Andrej Karpathy

1,648,015 Aufrufe • vor 5 Monaten

🎙️ PEDRI: “We knew that for us it was a final that we had to go out with a lot of energy after what happened at Inter, which was hard for the team, but well, we knew that it was a final for us and we went out with everything we had.” #ElClásico
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🎙️ PEDRI: “We knew that for us it was a final that we had to go out with a lot of energy after what happened at Inter, which was hard for the team, but well, we knew that it was a final for us and we went out with everything we had.” #ElClásico

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