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Clayton: "Of course I can- take it..." Yeah, let's see about that, big guy. Models/Map: Clayton Carmine - Barafan🔞 Generic Male - VOLUOX Map - Scamarai Audio: Voice Acting - VOID 🎙🔞 SFX - LeHornySFX3D🔞 (COMMS OPEN)

769,701 просмотров • 2 лет назад •via X (Twitter)

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Here's a copy/paste prompt recipe and vid showing exactly how to ask an LLM for an interactive map with satellite/map layers + a georeferencer that lets you see how old maps correspond with modern geography. Today the computer can’t make good print maps (that's your hill to climb ) but it can, with five bucks and twenty minutes, make good interactive maps. No software/GIS knowledge necessary, you just need a few nouns and an LLM. Scroll to the bottom for the repo/live map if you want those. I'm using Claude Code as an extension in VS Code but you can use the Claude CLI, Cursor, whatever. 1) Let's grab an old cadastral map and see who owned big tracts of a city; I found this an 1854 map of Niagara Falls, NY I found in the Library of Congress: , grabbed the .jp2, saved as a jpg from photoshop. 2) Let's ask Claude Code for a map. You can see exactly what I did in the video but my prompt, sans simple "hey it's busted" debugging, is written out in the following paragraphs. I explain the map-specific nouns in brackets. You can likely dump this whole thing in your LLM window and it'll work; I'd try plan mode + skip permissions. THE PROMPT Make an interactive map with MapLibre GL JS [maplibre is a javascript mapping library, a FOSS version of Mapbox GL JS. This lets us display tiled map data and arbitrary images on the map] Add basemap toggles with Esri satellite, Carto Positron, and OSM [these map layers require no API keys for light usage; Carto Positron is a nice road map layer and OSM is ugly but comprehensive] Add a globe/mercator projection toggle [I think the globe looks better at low zooms] Add a layer panel on the left with visibility checkboxes and delete buttons. Add a search box on the map that flies to results, with deletable pin markers [Makes this easy to get to your area of interest] Include an interactive local georeferencer: drop a JPG, pick ground control points on a zoomable/pannable image viewer, place them on the map, watch it warp with a progress bar centered on the map. [The georeferencer uses math ("affine transform"??) to match points on the old map to points on the new map; generally you click road intersections on the old map, match them on the new map, repeat a dozen times and everything aligns] The georeferenced map overlay defaults to 25% opacity with a slider above the control point list. [I want it easy to see the underlying modern geography] Add Export/import control point buttons [this saves the control points as a JSON so you can save and reimport your work] Add a button to export the warped image as a GeoTIFF with a .prj [In case you want to add the georeferenced image to a real GIS program like QGIS] Look up all relevant docs before starting [Claude sometimes uses outdated stuff] Split everything into separate HTML/CSS/JS files [Claude tends to pile everything in index.html, which is hard to read] Use Optima font, base color #FEFAF6 [I just like this style] Let me test with a local server [it serves it on a simple server so you can nav your host to localhost:8000 and try it out] Log all errors [so you don't have to play telephone with the LLM describing what's busted] 3) Once your LLM finishes, test it out in your browser; if it doesn't work, ask the LLM to check logs. Repeat 'til functional. 4) After this works on your computer, you can show it to everyone by hosting it on GitHub: prompt with "write a README explaining what everything does, add it to a new GitHub repo, deploy using GitHub pages, gimme the live URL" Here's what Claude made for me, try it yourself: • Upload the JPG in the repo, which is linked below • "Add GCP" • Click somewhere recognizable on the old map, like the tip of an island or a road intersection • Click the matching point on the new map • Repeat til you have least 3x points • Hit "georeference" • You'll see the old map atop the new map; if you want a better fit, delete bad points or add a dozen new ones, hit georeference again, repeat Repo: Is this map robust? Human-maintainable? Elegant? Performant? Secure? No, but *your* personal web map need not be. It just needs to work for *your* narrow use case, because it’s *your* map.

Evan Applegate

15,772 просмотров • 5 месяцев назад

Qullamaggie shows His First Run to 100k "Interested in the first run up to 200k,? No, to 100k. Want to see how large your spurts were? OK. So, let's see here. Yeah, it's kind of hard to see. But yeah, I went from about 43,000 to 100,000 in just three months, I think. Yeah, that was in a straight line. I went in a straight line to 135,000. So, I pretty much quadrupled my account. No, tripled my accounts in about three months back in early 2014. And then I shorted PLUG. And I kind of lost... That was my biggest loss back then. I think I lost like 35,000, 40,000. I'm gonna show you guys where I lost. That was my first big loss that I remember. I felt really shitty about it. I'm gonna move it. On this day here, or was... Yeah, on this day here, March 10, 2014. I think I lost about 30% of my account or 25% of my account shorting this thing. Then it crashed. I don't think I made many money that day. I don't think I had borrows or... There was something. But I do remember on this day here... These two days when it stopped bounce about 50% in two sessions. I made most of that big loss back. And after that, it was pretty much straight up again. As you can see on the chart, it's pretty much straight up. And the next big loss came back in October 2014 where I lost, I think I lost 50% of my money that day. Or close to. No, wait, I think it was... Anyway, I think it was 30 or 40% or something. I don't remember. Yeah, it's kind of hard to see. Yeah, up to 100k, 43k to 100k was pretty smooth. But yeah, I don't have the data. You know, the data from 2011, 2012 and 2013. Like back in 2011 and 2012, I blew up like three or four times. Unfortunately, I don't have the data for it. I didn't keep any records. And 2013, I kind of stabilized. I think I went sideways. And the second half of 2013 is when I started making money. I think my accounts went from like 6 or 8,000 to 43,000 in the last six months of 2013"

Lone

61,148 просмотров • 9 месяцев назад

Ben Shelton on his warm embrace with Frances Tiafoe after losing to him at the US Open, ‘It’s important to show it sometimes that you can be happy for a guy when they beat you’ “You just seemed really, really excited for Frances. What were kind of the emotions going through your mind when you met at the net and what did you guys chat about?” Ben: “Yeah, obviously I thought he played lights-out today. That was one of the things you've got to be happy for a guy and congratulate, especially a guy like him when he's playing the way he's playing. I think that it's important to show it sometimes that, you know, you can be happy for a guy when they beat you. Obviously there are some things I want to do better. I'm a competitor. I always want to win. But, you know, I've taken a few things from him in the past year, and I thought that he's always handled it well. You know, maybe not like a big embrace when we're on the court. But soon or right after it's like things are back to normal. But one of those cool environments in matches to be a part of. It didn't feel right to just go up with a negative look on my face, shake his hand and walk off the court, because he played some great ball today. I told him, you know, keep serving like that, keep returning like that, and see where this thing goes. Obviously he took me out here, so let's see what he can do.” “What do you mean when you say you're happy for him, especially a guy like that?The way he plays, the way the start of the season went? What did you mean by that?” Ben: “No, just a guy like that, how good of a guy he is, always smiling, not really ever a negative look on his face. One of those guys that's fun to be around in the locker room. You know, he's always cracking jokes. Even I beat him in the final of Houston, he's giving me shout outs in his post-match speech, just like a good guy. I didn't mean anything negative by it. Just a great guy, yeah.” ❤️ (via US Open Press)

The Tennis Letter

926,894 просмотров • 2 лет назад

Ludvig Aberg gives a refreshingly honest assessment of his round today: “Yeah, obviously really disappointed. I felt like I was striking it okay early on. Got away with a few things, especially No. 4, kind of left miss. “But overall pleased with the week. Obviously today the back nine was not good, but that's the way it goes sometimes.” “It got away from me quick there (on 11 and 12). Yeah, it was just poor swings. I felt like I've had that sort of 7-wood right miss a few times this week, on No. 4 especially twice, and it came up on 11 as well. “Then tried to press a little bit on 12, hitting driver, where sometimes you can play 3-wood a little short of that bunker. “Yeah, obviously really disappointed. I would have loved to be standing where Cameron is standing right now. But overall I still felt like I saw some nice things in my game this beak.” He then went on to talk about the positives he can take away from this week: “I think obviously the biggest thing that I take away is that I feel like I'm playing nice golf. I'm playing golf to the point where I feel like I can contend in big tournaments. “Obviously a good finish last week and still a top-5 finish this week. Overall I feel like I'm playing good golf, which is really nice. It's nice to see on a hard golf course last week, hard golf course this week. That makes me excited. “Obviously I would have loved a different back nine outcome today, but looking at the grand scheme of things, I'm pleased with my golf game.” All class from Ludvig after a really difficult back 9. PGA TOUR THE PLAYERS

Flushing It

385,745 просмотров • 5 месяцев назад

Brian Cox is pointing at one dot. The dot is a galaxy with 100 billion stars. There are 200 billion more on the same map. The thin line at the top of that map represents a billion light-years. At the speed of light, it would take a billion years to cross that sliver. The math gets stranger. The observable universe holds roughly 30 sextillion stars. Every grain of sand on every beach on Earth combined is about 7.5 sextillion. The universe has 4x more stars than Earth has sand. The deeper number is which of those galaxies you can ever actually reach. Dark energy is accelerating cosmic expansion. Space itself is stretching faster than light can cross it. The cosmic event horizon sits at roughly 16 billion light-years from Earth. Anything past that is moving away from us faster than light can chase. We can see those galaxies because their photons left billions of years ago when the gap was small enough. We cannot reach them. We cannot send a signal. We cannot know what they look like now. 97% of the galaxies on Cox's map are already disconnected from our future. Visible artifacts of a past that has ended. Now look forward. In about 150 billion years, accelerating redshift will push every galaxy outside our Local Group beyond detection. Andromeda will have merged with the Milky Way. The other 199,999,999,999 galaxies will be invisible. Civilizations on planets around future stars will look up and see only one galaxy. Their telescopes will tell them the universe ends at the edge of the Local Group. They will not see cosmic background radiation. They will not observe expansion. They will not know about the Big Bang. The evidence will have receded past their light cone. Every astronomy textbook they could ever write would conclude the universe is small, static, and made of one galaxy. We exist in a 100-billion-year window where the universe is still legible. Before us, too hot, too dense, too young. After us, the lights go out one galaxy at a time. 30 sextillion stars on the map. A 100-billion-year window in which to read it. We exist inside the only overlap.

Aakash Gupta

53,238 просмотров • 3 месяцев назад

Translation (AI) #srchafreen #ฟรีนเบคxNetflix #เด็กใหม่TheReset 🌷 “Hi! I'm Freen Sarocha. Today, Netflix invited me to see Becky as Nanno in Girl From Nowhere: The Reset. Let's see how much she's going to be like the devil's daughter. Let's find out together." 🌷 "She's floating! She's floating, she feels like floating. Yeah. Nanno, right? She's a new student. Just arrived on her first day." 🌷 "Wait, help him first! He's dying!" 🌷 "Ta-da! 🌷"Oh, she's in pain. She feels like, 'beep-beep' when she got hit.” 🌷 "Hi! Nanno feels like..." 🌷 "Well, it feels new. It's really a 'reset'. I've never seen her acting like this before. This style... The performance has a lot of... can I say it? It's very annoying. I haven't seen her do anything like this before. And the tone of voice that I remember in my head is probably that laugh. I feel like... yeah, it's cool!" 🌷 "Becky is more like a cat. She would be like 'P'Freen this, P'Freen that. Can I have some milk tea?' right? But Nanno, she's like... how can I put it? She's a bit of a provocateur. She's like 'Come on then, I'm not afraid of you. Without Nanno, it wouldn't be fun, right?'. It's not like Becky at all. It's really new." 🌷 "I'd like to leave you with Becky's new role as Nanno in Girl From Nowhere: The Reset. Please support her in all six episodes. I want to see what the new girl is going to do. But don't do it to me, I'm scared. Just kidding!" 🌷"See you! Bye-bye!"

BumbleBee ◡̈🌷

25,583 просмотров • 5 месяцев назад

What if your voice AI could interrupt you the moment it figured out your question - sometimes even before you finished asking it? Last week, I sat down with Neil, CEO of Gradium and co-founder of Kyutai , to talk about the future of speech-to-speech models and why he believes today's cascaded voice systems will soon look "archaic and brittle." Some highlights from our conversation: 🎯 How Kyutai built Moshi—a full duplex conversational AI with "negative latency"—in 6 months with just 4-6 people (while big tech teams had 10-20x the resources) 🧠 Why speech-to-speech models lose intelligence compared to their text counterparts (and what's being done about it) 📱 Pocket TTS: The first voice cloning model that runs on your phone's CPU—not GPU, CPU 🤖 Why robotics and spatial audio represent the next frontier (hint: current voice systems completely break in these environments) 👶 The efficiency gap: Babies learn to speak fluently from <5,000 hours of audio. Current models train on millions of hours. We're doing something wrong. My favorite vision from Neil? The first truly contrarian AI that interrupts you mid-sentence to tell you why you're wrong. Not just more natural conversation—but actually useful for testing ideas and playing devil's advocate. Full episode and detailed blog post linked in the comments 👇 What's your take - will speech-to-speech replace cascaded systems, or will modularity keep cascaded architectures dominant even as naturalness improves?

Brooke Hopkins

13,000 просмотров • 6 месяцев назад