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New open source library: kugiri (区切り). Already running in production on several of my sites, now public. It splits text into lines, words and characters, the thing every text reveal needs. The difference is where it cuts. Most splitters guess where a line breaks, and the guess falls apart...

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Edoardo Lunardi

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42,898 görüntüleme • 6 gün önce •via X (Twitter)

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Get beautiful text animations. We built a hand-crafted collection of text animations and wrapped them as a SKILL for your AI agent. Use it with Remotion, Motion, GSAP, WAAPI, or any animation library. It comes with clear animation specs - pacing, curves, transitions - so your output looks great from the first prompt. Install it with: npx skills add pixel-point/animate-text --skill animate-text Use it /animate-text apply soft-blur-in to hero section text
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Get beautiful text animations. We built a hand-crafted collection of text animations and wrapped them as a SKILL for your AI agent. Use it with Remotion, Motion, GSAP, WAAPI, or any animation library. It comes with clear animation specs - pacing, curves, transitions - so your output looks great from the first prompt. Install it with: npx skills add pixel-point/animate-text --skill animate-text Use it /animate-text apply soft-blur-in to hero section text

Alex Barashkov

128,950 görüntüleme • 4 ay önce

Every website you’ve ever used is broken in a way you never noticed and it’s been this way for 30 years... A Midjourney engineer finally just fixed it. It’s called Pretext: A tiny library that lets websites lay out text the way magazines and newspapers do, with text flowing around images, wrapping into columns, and fitting perfectly into any shape, all at 120fps. This has been basically impossible on the web for 30 years. Every website you’ve ever used relies on the same clunky system from the 90s to figure out where text goes on screen. Pretext bypasses it entirely. 500x faster. The demos look like they shouldn’t be possible in a browser. Go look.
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Every website you’ve ever used is broken in a way you never noticed and it’s been this way for 30 years... A Midjourney engineer finally just fixed it. It’s called Pretext: A tiny library that lets websites lay out text the way magazines and newspapers do, with text flowing around images, wrapping into columns, and fitting perfectly into any shape, all at 120fps. This has been basically impossible on the web for 30 years. Every website you’ve ever used relies on the same clunky system from the 90s to figure out where text goes on screen. Pretext bypasses it entirely. 500x faster. The demos look like they shouldn’t be possible in a browser. Go look.

Josh Kale

1,021,126 görüntüleme • 5 ay önce

We are getting absurdly close to the point where “learning Blender” means learning how to direct an AI. A shot like this looks soft and playful on the surface, but under it is the usual 3D pain: modeling, layout, materials, lighting, atmosphere, animation, and endless tiny fixes until the frame stops looking dead. That is why Kimi K3 matters. With Blender MCP, you can describe a scene like a robotic goat walking through a dreamy field and let the model help build the environment, place the camera, shape the materials, script the motion, and iterate inside the real Blender project. The real shift is not text-to-image. It is text-to-workflow. Kimi K3 does not just give you a pretty output and disappear. It can help move the actual scene from rough setup to something that looks art-directed. Soon the hardest part of 3D will not be the software. It will be whether your imagination is good enough to deserve tools like this.
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We are getting absurdly close to the point where “learning Blender” means learning how to direct an AI. A shot like this looks soft and playful on the surface, but under it is the usual 3D pain: modeling, layout, materials, lighting, atmosphere, animation, and endless tiny fixes until the frame stops looking dead. That is why Kimi K3 matters. With Blender MCP, you can describe a scene like a robotic goat walking through a dreamy field and let the model help build the environment, place the camera, shape the materials, script the motion, and iterate inside the real Blender project. The real shift is not text-to-image. It is text-to-workflow. Kimi K3 does not just give you a pretty output and disappear. It can help move the actual scene from rough setup to something that looks art-directed. Soon the hardest part of 3D will not be the software. It will be whether your imagination is good enough to deserve tools like this.

Rina

45,651 görüntüleme • 1 ay önce

Wan Animate 2 is in ComfyUI with native support he driving video goes straight into the transformer. No motion extractor in the middle, so nothing gets flattened before generation starts — subtle expression, finger position, all of it survives. Better motion. Stronger identity. And the camera is yours: viewpoint is text-driven, decoupled from whatever the driving clip was shot on. Wan Animate 2 Lite runs at real-time latency. Click the link below for the workflows and the blog👇
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Wan Animate 2 is in ComfyUI with native support he driving video goes straight into the transformer. No motion extractor in the middle, so nothing gets flattened before generation starts — subtle expression, finger position, all of it survives. Better motion. Stronger identity. And the camera is yours: viewpoint is text-driven, decoupled from whatever the driving clip was shot on. Wan Animate 2 Lite runs at real-time latency. Click the link below for the workflows and the blog👇

ComfyUI

26,256 görüntüleme • 1 ay önce

Seems like a good opportunity to share a trick I used on the React Aria website to make headings scale to fit the viewport on mobile, even with SSR. I used fontkit, a library I wrote 10 years ago to parse fonts and layout glyphs, to measure the width of the heading at build time in the "em" unit. width = font.layout('DateRangePicker').advanceWidth / font.unitsPerEm This is a size independent measurement using the font's internal metrics. When multiplied by any font size, you get the pixel width of the text. To calculate the font size, set this as a CSS variable and divide the target width (100vw minus padding). Clamp to make sure it doesn't get too big or small. font-size: clamp(35px, (100vw - 32px) / var(--text-width), 55px) And tada! You have perfectly scaling text no matter the viewport size. 🎉
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Seems like a good opportunity to share a trick I used on the React Aria website to make headings scale to fit the viewport on mobile, even with SSR. I used fontkit, a library I wrote 10 years ago to parse fonts and layout glyphs, to measure the width of the heading at build time in the "em" unit. width = font.layout('DateRangePicker').advanceWidth / font.unitsPerEm This is a size independent measurement using the font's internal metrics. When multiplied by any font size, you get the pixel width of the text. To calculate the font size, set this as a CSS variable and divide the target width (100vw minus padding). Clamp to make sure it doesn't get too big or small. font-size: clamp(35px, (100vw - 32px) / var(--text-width), 55px) And tada! You have perfectly scaling text no matter the viewport size. 🎉

Devon Govett

48,276 görüntüleme • 5 ay önce

Karpathy method + Claude Code reading your whole Obsidian vault is the smartest second brain on earth. The method is simple and brutal. If you can’t build a thing from scratch, you don’t know it. Tutorials are fake learning and your brain deletes them in 3 days. Most people ignore this. They build a second brain that just sits there, folders of notes nobody reopens, dead text. Point Claude Code at the vault and it wakes up. 5,000 notes, one mind. It reads all of it and answers in your own words and your own proofs, not a model’s guess. Then the loop closes. Want to understand neural nets? Skip the 3-hour video and ask Claude Code to build a tiny one. 200 lines from scratch. Watch it train, break a layer, watch it fail, fix it. It clicks in 20 minutes instead of 3 weeks. The second it lands the note gets written. One idea per file, linked to 10 others, dropped into the vault while the memory is still hot. Now it compounds. Month 1: is 60 notes. Month 6 is 900. Every new note pulls in old ones, so you ask anything and the answer comes from your brain, not the internet. Before: 40 tabs, 6 half read PDF, 0 retained. After: build it once, own it for life. Setup takes 4 minutes. Plain text, no lock-in. A second brain nobody reads is a graveyard. Yours just started thinking.
0:13

Karpathy method + Claude Code reading your whole Obsidian vault is the smartest second brain on earth. The method is simple and brutal. If you can’t build a thing from scratch, you don’t know it. Tutorials are fake learning and your brain deletes them in 3 days. Most people ignore this. They build a second brain that just sits there, folders of notes nobody reopens, dead text. Point Claude Code at the vault and it wakes up. 5,000 notes, one mind. It reads all of it and answers in your own words and your own proofs, not a model’s guess. Then the loop closes. Want to understand neural nets? Skip the 3-hour video and ask Claude Code to build a tiny one. 200 lines from scratch. Watch it train, break a layer, watch it fail, fix it. It clicks in 20 minutes instead of 3 weeks. The second it lands the note gets written. One idea per file, linked to 10 others, dropped into the vault while the memory is still hot. Now it compounds. Month 1: is 60 notes. Month 6 is 900. Every new note pulls in old ones, so you ask anything and the answer comes from your brain, not the internet. Before: 40 tabs, 6 half read PDF, 0 retained. After: build it once, own it for life. Setup takes 4 minutes. Plain text, no lock-in. A second brain nobody reads is a graveyard. Yours just started thinking.

West Lord

593,249 görüntüleme • 2 ay önce

SOMEONE JUST VIBECODED A PROGRAM THAT DOWNLOADS ANY WEBSITE ON THE INTERNET every $35,000 agency site is now yours to rip clean for $0 fully open source, save it before it's gone you paste one url and it does the rest: → crawls the entire site → grabs every file: html, css, js, images, even the fonts → rewrites every link to run fully offline → packs it all into a downloadable zip runs entirely in the browser, nothing to install or sign up for point it at any site you admire and the whole front-end is yours: → clone it → archive it before it dies → crack open exactly how it was built the thing agencies gatekeep for five figures is now a 10-second download bookmark this one
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SOMEONE JUST VIBECODED A PROGRAM THAT DOWNLOADS ANY WEBSITE ON THE INTERNET every $35,000 agency site is now yours to rip clean for $0 fully open source, save it before it's gone you paste one url and it does the rest: → crawls the entire site → grabs every file: html, css, js, images, even the fonts → rewrites every link to run fully offline → packs it all into a downloadable zip runs entirely in the browser, nothing to install or sign up for point it at any site you admire and the whole front-end is yours: → clone it → archive it before it dies → crack open exactly how it was built the thing agencies gatekeep for five figures is now a 10-second download bookmark this one

Argona

126,379 görüntüleme • 2 ay önce

🚨 Alibaba just open sourced a GUI agent that lives inside your webpage and controls it with natural language. It's called Page Agent and it's not a browser extension. It's pure JavaScript no Python, no Puppeteer, no headless browser, no screenshots. Just one script tag and your web app understands natural language. Here's what it actually does: → Embed it with a single tag or npm install → Control any web interface with plain English commands → Text-based DOM manipulation no OCR, no vision models needed → Bring your own LLM (GPT, Claude, Qwen, anything) → Ships a built-in UI with human-in-the-loop support → Turn 20-click ERP/CRM workflows into one sentence → Optional Chrome extension for multi-tab agent tasks → Works on any web app SaaS, admin panels, internal tools Companies are charging $30/month for AI copilots built on this exact idea. This is 3 lines of code. Your users. Your interface. The AI copilot layer for every web app just got open sourced. 1.6K stars. 100% Open Source. (Link in the comments)
0:18

🚨 Alibaba just open sourced a GUI agent that lives inside your webpage and controls it with natural language. It's called Page Agent and it's not a browser extension. It's pure JavaScript no Python, no Puppeteer, no headless browser, no screenshots. Just one script tag and your web app understands natural language. Here's what it actually does: → Embed it with a single tag or npm install → Control any web interface with plain English commands → Text-based DOM manipulation no OCR, no vision models needed → Bring your own LLM (GPT, Claude, Qwen, anything) → Ships a built-in UI with human-in-the-loop support → Turn 20-click ERP/CRM workflows into one sentence → Optional Chrome extension for multi-tab agent tasks → Works on any web app SaaS, admin panels, internal tools Companies are charging $30/month for AI copilots built on this exact idea. This is 3 lines of code. Your users. Your interface. The AI copilot layer for every web app just got open sourced. 1.6K stars. 100% Open Source. (Link in the comments)

Ihtesham Ali

135,634 görüntüleme • 6 ay önce

sorry, they just did WHAT someone gave a machine one disease name, the leading cause of blindness in the developed world with 1.5 million americans already in its path, and it came back pointing at a drug that has sat in pharmacies for years under a different label: 551 papers read in 30 minutes against the 294 hours a human would have needed, and the loop that did it is public on GitHub most agent setups answer one question at a time, so the ceiling on the work is the quality of the question you happened to think of this one was handed a single question and wrote the second one itself. turns out that follow-up is where the real find was: a target called ABCA1, upregulated threefold, in an experiment no human ordered i read the whole paper looking for the trick, and the trick is structural. that is the second question, and it is the gap between an assistant and a factory: - hand the loop a field rather than a task: it was given a disease, and choosing the mechanism was part of its job - make it rank before it spends: 151 papers in, ten candidate mechanisms out, scored against each other before anything touched a bench - split reading from judging, so the agent that forms the theory is a different agent from the one grading it - close every cycle on physical reality: the verdict was an experiment, and another model's opinion was never allowed to stand in for one - feed each result back as the next question rather than a log line, which is the step almost nobody builds - search what already passed inspection first: the winner was an approved compound with a safety file already on record - write down what the round learned before opening the next one, so round two starts where round one stopped my read, and i think it is the uncomfortable one: reading was the entire bottleneck in that field, and everybody spent the decade optimising the writing. people ran every physical experiment here, the analysis agent needs a domain expert writing its prompts, and the authors decline to call this the leap it resembles. the thinking got replaced, and the hands did not so the question i cannot answer for my own setup: which step of your loop still stops dead until you sit down and type something bookmark this one. the four parts that turn one model into a line that runs like this, the queue, the rooms, the write permissions and the gate, are built file by file in the piece below ↓
0:15

sorry, they just did WHAT someone gave a machine one disease name, the leading cause of blindness in the developed world with 1.5 million americans already in its path, and it came back pointing at a drug that has sat in pharmacies for years under a different label: 551 papers read in 30 minutes against the 294 hours a human would have needed, and the loop that did it is public on GitHub most agent setups answer one question at a time, so the ceiling on the work is the quality of the question you happened to think of this one was handed a single question and wrote the second one itself. turns out that follow-up is where the real find was: a target called ABCA1, upregulated threefold, in an experiment no human ordered i read the whole paper looking for the trick, and the trick is structural. that is the second question, and it is the gap between an assistant and a factory: - hand the loop a field rather than a task: it was given a disease, and choosing the mechanism was part of its job - make it rank before it spends: 151 papers in, ten candidate mechanisms out, scored against each other before anything touched a bench - split reading from judging, so the agent that forms the theory is a different agent from the one grading it - close every cycle on physical reality: the verdict was an experiment, and another model's opinion was never allowed to stand in for one - feed each result back as the next question rather than a log line, which is the step almost nobody builds - search what already passed inspection first: the winner was an approved compound with a safety file already on record - write down what the round learned before opening the next one, so round two starts where round one stopped my read, and i think it is the uncomfortable one: reading was the entire bottleneck in that field, and everybody spent the decade optimising the writing. people ran every physical experiment here, the analysis agent needs a domain expert writing its prompts, and the authors decline to call this the leap it resembles. the thinking got replaced, and the hands did not so the question i cannot answer for my own setup: which step of your loop still stops dead until you sit down and type something bookmark this one. the four parts that turn one model into a line that runs like this, the queue, the rooms, the write permissions and the gate, are built file by file in the piece below ↓

Argona

32,475 görüntüleme • 1 ay önce

Seedance 2.0 has a fix for character drift almost nobody uses. Every new text description is a fresh interpretation of appearance. That's where the drift comes from: a slightly different face, a slightly different outfit, proportions that shift from scene to scene. The @ Image tag solves this directly — attach a photo once, and it becomes the fixed source of truth for face, outfit, and proportions across the entire multi-shot sequence. The @ Video tag works the same way for motion and camera — tag a reference instead of describing it, and the model copies that exact style instead of an approximation. You're not making the model remember. You're just stopping yourself from reminding it differently every single time.
0:10

Seedance 2.0 has a fix for character drift almost nobody uses. Every new text description is a fresh interpretation of appearance. That's where the drift comes from: a slightly different face, a slightly different outfit, proportions that shift from scene to scene. The @ Image tag solves this directly — attach a photo once, and it becomes the fixed source of truth for face, outfit, and proportions across the entire multi-shot sequence. The @ Video tag works the same way for motion and camera — tag a reference instead of describing it, and the model copies that exact style instead of an approximation. You're not making the model remember. You're just stopping yourself from reminding it differently every single time.

Zentrix⌚️

88,931 görüntüleme • 1 ay önce

Stop renting a chatbot and calling it your company’s brain. Utopia is the first open-source enterprise world model I’ve seen that actually treats knowledge like a system, not a vibe. It's a Self-hosted, open source and built around the one question every other knowledge base ignores: when. Every fact in it carries a start date and an end date. Nothing gets overwritten. When something changes, the correction closes the old version and opens a new one. The history stays intact. So the graph isn't a snapshot anymore. It's a recording you can rewind. You drag a timeline on the screen and watch the whole thing redraw itself to show what was true on that date. Who owned what. What the policy said before it changed. All of it, replayable. And every fact points back to the exact sentence it came from. Nothing gets in without a receipt. Here's the part that got me. The whole thing is one binary and one Postgres database. That's it. No Elasticsearch, no separate vector service and no message queue. Most RAG stacks are six services duct-taped together. This is two. It even runs fully offline on an air-gapped network with any model you want.
0:16

Stop renting a chatbot and calling it your company’s brain. Utopia is the first open-source enterprise world model I’ve seen that actually treats knowledge like a system, not a vibe. It's a Self-hosted, open source and built around the one question every other knowledge base ignores: when. Every fact in it carries a start date and an end date. Nothing gets overwritten. When something changes, the correction closes the old version and opens a new one. The history stays intact. So the graph isn't a snapshot anymore. It's a recording you can rewind. You drag a timeline on the screen and watch the whole thing redraw itself to show what was true on that date. Who owned what. What the policy said before it changed. All of it, replayable. And every fact points back to the exact sentence it came from. Nothing gets in without a receipt. Here's the part that got me. The whole thing is one binary and one Postgres database. That's it. No Elasticsearch, no separate vector service and no message queue. Most RAG stacks are six services duct-taped together. This is two. It even runs fully offline on an air-gapped network with any model you want.

Hasan Toor

173,552 görüntüleme • 9 gün önce

SOMEONE BUILT A TERMINAL TORRENT CLIENT THAT SEARCHES EVERY TRUSTED SOURCE AT ONCE AND DOWNLOADS STRAIGHT TO DISK finding a torrent in 2026 is miserable fake download buttons, popups that spawn three more tabs, and half the results are dead with zero seeders. so he built the opposite of all that: > type one query and it hits a curated set of trackers all at once > results stream back tagged with source, size and seeders as fast as each site answers > arrow to the one you want, press d, and it lands on your drive > if one source is down it just skips it and keeps searching the rest > downloads run in the background and pick up where they left off if you quit mid transfer the whole thing is one command. npx and youre running, all you need is node, no browser, no setup, nothing leaves your machine except the request itself. its called torlink, open source and mit. this is the kind of clean terminal tool that does one annoying thing perfectly
0:16

SOMEONE BUILT A TERMINAL TORRENT CLIENT THAT SEARCHES EVERY TRUSTED SOURCE AT ONCE AND DOWNLOADS STRAIGHT TO DISK finding a torrent in 2026 is miserable fake download buttons, popups that spawn three more tabs, and half the results are dead with zero seeders. so he built the opposite of all that: > type one query and it hits a curated set of trackers all at once > results stream back tagged with source, size and seeders as fast as each site answers > arrow to the one you want, press d, and it lands on your drive > if one source is down it just skips it and keeps searching the rest > downloads run in the background and pick up where they left off if you quit mid transfer the whole thing is one command. npx and youre running, all you need is node, no browser, no setup, nothing leaves your machine except the request itself. its called torlink, open source and mit. this is the kind of clean terminal tool that does one annoying thing perfectly

Om Patel

361,539 görüntüleme • 2 ay önce

STARLINK HITS iPHONES—TEXT FROM ANYWHERE! iOS 18.3 changed the game! Starlink satellite texting is now live for T-Mobile beta testers, keeping connections alive no matter where you are. No towers? No service? No problem. Calls and data are next—this is just the beginning of a whole new era in communication. The future of messaging is officially untethered. Source: Bloomberg, Starlink
0:19

STARLINK HITS iPHONES—TEXT FROM ANYWHERE! iOS 18.3 changed the game! Starlink satellite texting is now live for T-Mobile beta testers, keeping connections alive no matter where you are. No towers? No service? No problem. Calls and data are next—this is just the beginning of a whole new era in communication. The future of messaging is officially untethered. Source: Bloomberg, Starlink

Mario Nawfal

1,546,265 görüntüleme • 1 yıl önce

Grok-4.20 just claimed the number one spot worldwide in Medicine and Healthcare on the Text Arena leaderboard. It’s already making a real difference by catching critical conditions that human doctors sometimes miss. There have been multiple documented cases where Grok helped save lives. Right now Grok is outperforming every other major model, including Claude Opus 4.6 and Gemini 3.1 Pro, in this crucial field. Healthcare is one area where the stakes couldn’t be higher, and Grok is currently leading the pack. Source: X Freeze
0:19

Grok-4.20 just claimed the number one spot worldwide in Medicine and Healthcare on the Text Arena leaderboard. It’s already making a real difference by catching critical conditions that human doctors sometimes miss. There have been multiple documented cases where Grok helped save lives. Right now Grok is outperforming every other major model, including Claude Opus 4.6 and Gemini 3.1 Pro, in this crucial field. Healthcare is one area where the stakes couldn’t be higher, and Grok is currently leading the pack. Source: X Freeze

Mario Nawfal

25,212 görüntüleme • 5 ay önce

clipping agencies rent offices now, $500,000 a year ten editors, a manager, a lease, and the only thing any of them is paid for is noticing noticing is 310 lines of python, and i gave it away it runs on Robinhood Chain, so the clip pays whoever cut it CUT never sees a single frame of the stream. it reads chat, because chat knows before the editor does, before the dashboard does, before the streamer does [what those 310 lines do] 1. measure the last 10 seconds against that stream's own 5 minute baseline 2. never a global number, a big channel idling still beats a small one peaking 3. count how many people just typed clip it 4. call the clip api in the same second, not after the room reacts that last one is the whole thing. a twitch clip only keeps the 90 seconds before you hit the button, so if you noticed the moment yourself, you already lost it no key to read chat. it cannot post for you. it runs on your machine, not mine one command replays three minutes of recorded chat offline and fires a real moment on your screen, so you can watch it work before you trust it
0:12

clipping agencies rent offices now, $500,000 a year ten editors, a manager, a lease, and the only thing any of them is paid for is noticing noticing is 310 lines of python, and i gave it away it runs on Robinhood Chain, so the clip pays whoever cut it CUT never sees a single frame of the stream. it reads chat, because chat knows before the editor does, before the dashboard does, before the streamer does [what those 310 lines do] 1. measure the last 10 seconds against that stream's own 5 minute baseline 2. never a global number, a big channel idling still beats a small one peaking 3. count how many people just typed clip it 4. call the clip api in the same second, not after the room reacts that last one is the whole thing. a twitch clip only keeps the 90 seconds before you hit the button, so if you noticed the moment yourself, you already lost it no key to read chat. it cannot post for you. it runs on your machine, not mine one command replays three minutes of recorded chat offline and fires a real moment on your screen, so you can watch it work before you trust it

Carver

170,603 görüntüleme • 4 gün önce

As of this morning, every brand-new Car sold in Europe is mandated by law to watch its “driver”, and the reason to worry is the opposite of what everyone is screaming about. The camera is not filming your face. The law explicitly bans that. It rather tracks your eyes. The danger is not what it does today. It is what it is now physically positioned to do tomorrow. This became binding across all 27 countries today, the 7th of July 2026, and no member state can opt out, because road safety is an EU competence and EU law overrides national law. Every new car and van, roughly 18 million of them a year, must now carry an infrared camera, usually on the steering column, that follows the driver's gaze. Look away too long, six seconds under 50 kilometers an hour, three and a half above it, and the car warns you with a sound, a light, or a buzz in the seat. The stated reason is real. Distraction causes up to 30 percent of crashes, and the Commission projects the wider safety package will save 25,000 lives by 2038. The outrage dissolves on contact with the actual text. The law actually fully forbids facial recognition and any biometric identification of anyone in the car, and the footage is legally barred from leaving the vehicle. No recording, no transmission, no police feed. As written today, this is a safety beeper, not a spy. But look at what already sits beside it. Think about it.. come on!! Europe's cars already run always-on systems that do transmit, the automatic crash caller that dials emergency services, the black-box event recorder, and over-the-air software that rewrites the car remotely overnight. The sensor was just made universal. The wall keeping it private is a single legal paragraph, and the same law already schedules its own review for 2027 to read cognitive state and body movement, while suppliers openly sell using the identical mandated camera to watch the passengers too. So this is the quiet architecture of every threshold. The permanent thing is physical, a camera now bolted into 18 million dashboards a year. The thing protecting you is a mere sentence, and sentences are the easiest part of any system to revise. Europe hardwired the eye. It left what the eye may see as the one part that can still be changed later. Hmm 🤨
0:10

As of this morning, every brand-new Car sold in Europe is mandated by law to watch its “driver”, and the reason to worry is the opposite of what everyone is screaming about. The camera is not filming your face. The law explicitly bans that. It rather tracks your eyes. The danger is not what it does today. It is what it is now physically positioned to do tomorrow. This became binding across all 27 countries today, the 7th of July 2026, and no member state can opt out, because road safety is an EU competence and EU law overrides national law. Every new car and van, roughly 18 million of them a year, must now carry an infrared camera, usually on the steering column, that follows the driver's gaze. Look away too long, six seconds under 50 kilometers an hour, three and a half above it, and the car warns you with a sound, a light, or a buzz in the seat. The stated reason is real. Distraction causes up to 30 percent of crashes, and the Commission projects the wider safety package will save 25,000 lives by 2038. The outrage dissolves on contact with the actual text. The law actually fully forbids facial recognition and any biometric identification of anyone in the car, and the footage is legally barred from leaving the vehicle. No recording, no transmission, no police feed. As written today, this is a safety beeper, not a spy. But look at what already sits beside it. Think about it.. come on!! Europe's cars already run always-on systems that do transmit, the automatic crash caller that dials emergency services, the black-box event recorder, and over-the-air software that rewrites the car remotely overnight. The sensor was just made universal. The wall keeping it private is a single legal paragraph, and the same law already schedules its own review for 2027 to read cognitive state and body movement, while suppliers openly sell using the identical mandated camera to watch the passengers too. So this is the quiet architecture of every threshold. The permanent thing is physical, a camera now bolted into 18 million dashboards a year. The thing protecting you is a mere sentence, and sentences are the easiest part of any system to revise. Europe hardwired the eye. It left what the eye may see as the one part that can still be changed later. Hmm 🤨

Shanaka Anslem Perera ⚡

650,189 görüntüleme • 2 ay önce

The next stage of AI image gen is going to be all about control. Human creativity is a beautiful thing, and the images we all have in our heads is much better expressed through motion, brush-strokes, song, tone of voice than through a simple text prompt. "Make a tree with a branch that starts at the lower part of the tree; make it bend a bit upwards.." "No, not like that, a bit more to the right." "No, that's not it either, point it more upwards.".. Check out a few examples in the🧵 #ai #art
0:15

The next stage of AI image gen is going to be all about control. Human creativity is a beautiful thing, and the images we all have in our heads is much better expressed through motion, brush-strokes, song, tone of voice than through a simple text prompt. "Make a tree with a branch that starts at the lower part of the tree; make it bend a bit upwards.." "No, not like that, a bit more to the right." "No, that's not it either, point it more upwards.".. Check out a few examples in the🧵 #ai #art

Martin Nebelong

114,314 görüntüleme • 2 yıl önce

I just built a Meta ad policy checker in Claude Code that catches rejections BEFORE Meta does 🤯 Drop in your ad copy → it pulls Meta's LIVE Advertising Standards, checks every line against the actual policy text, and hands each ad a verdict: Cleared for launch, Fix before launch, or Grounded. All inside Claude Code. Perfect for media buyers and DTC brands who've had ads bounced — or an account restricted — and never got a straight answer why. If you're finding out about policy problems only after the rejection email, resubmitting the same ad and praying, losing days of delivery while the appeal sits in review, and every bounce quietly teaches Meta to trust your account a little less... This runs the review before Meta ever sees the ad: → Drop in your ad copy (one ad or a whole batch) → It reads each ad and figures out which of Meta's policies apply → Scrapes the live policy pages from Meta's Transparency Center → Flags the exact phrase that violates, with Meta's own policy quoted next to it → Rewrites the risky lines so the message survives but the violation doesn't → Renders a dashboard: every ad, every finding, every fix in one place No guessing which word killed the ad. No resubmit-and-pray loops. No stacking rejections on your account history. What you get: → A verdict on every ad before you spend a dollar → The violating phrase + the policy citation, side by side → Rewrites that keep the selling intent → A report you can hand straight to your team or client Built 100% in Claude Code. No API keys, no Meta login. I'm giving away the complete Claude skill file. Want the skill for free? > Like this post > Comment "META" And I'll send it over (must be following so I can DM)
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I just built a Meta ad policy checker in Claude Code that catches rejections BEFORE Meta does 🤯 Drop in your ad copy → it pulls Meta's LIVE Advertising Standards, checks every line against the actual policy text, and hands each ad a verdict: Cleared for launch, Fix before launch, or Grounded. All inside Claude Code. Perfect for media buyers and DTC brands who've had ads bounced — or an account restricted — and never got a straight answer why. If you're finding out about policy problems only after the rejection email, resubmitting the same ad and praying, losing days of delivery while the appeal sits in review, and every bounce quietly teaches Meta to trust your account a little less... This runs the review before Meta ever sees the ad: → Drop in your ad copy (one ad or a whole batch) → It reads each ad and figures out which of Meta's policies apply → Scrapes the live policy pages from Meta's Transparency Center → Flags the exact phrase that violates, with Meta's own policy quoted next to it → Rewrites the risky lines so the message survives but the violation doesn't → Renders a dashboard: every ad, every finding, every fix in one place No guessing which word killed the ad. No resubmit-and-pray loops. No stacking rejections on your account history. What you get: → A verdict on every ad before you spend a dollar → The violating phrase + the policy citation, side by side → Rewrites that keep the selling intent → A report you can hand straight to your team or client Built 100% in Claude Code. No API keys, no Meta login. I'm giving away the complete Claude skill file. Want the skill for free? > Like this post > Comment "META" And I'll send it over (must be following so I can DM)

Mike Futia

17,467 görüntüleme • 1 ay önce

COPY is live on Robinhood Chain $COPY CA: 0xac79255f6f404eba14f316e8669d76573a2d7b1e Five walls read a setup before you copy it: how strong the source is, how deep the pool is, whether the market actually turns over, whether the move is still inside the band, and whether there is a fresh mark to trade against. EDGE, DEPTH, TURN, MOMO, PRICE. A wallet you follow buying is not a reason. Most setups die on the first wall, and you get the exact wall that refused it, every time. Every decision is printed. The terminal runs from one process, keeps local state, and half of it needs no key at all. It never predicts a price. It tells you what you would actually be copying. Open source, MIT, runs on your machine. No browser wallet, nothing signs.
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COPY is live on Robinhood Chain $COPY CA: 0xac79255f6f404eba14f316e8669d76573a2d7b1e Five walls read a setup before you copy it: how strong the source is, how deep the pool is, whether the market actually turns over, whether the move is still inside the band, and whether there is a fresh mark to trade against. EDGE, DEPTH, TURN, MOMO, PRICE. A wallet you follow buying is not a reason. Most setups die on the first wall, and you get the exact wall that refused it, every time. Every decision is printed. The terminal runs from one process, keeps local state, and half of it needs no key at all. It never predicts a price. It tells you what you would actually be copying. Open source, MIT, runs on your machine. No browser wallet, nothing signs.

Lunar

103,183 görüntüleme • 1 gün önce

Save this for the next time your typography feels weird and you can’t explain why. Nine times out of ten, it’s line-height - the vertical space between lines of text that decides whether type feels confident or clumsy, readable or tiring. Headlines Compress them. ~1.05–1.25 is usually right. Headlines aren’t meant to be read carefully line by line. They’re meant to land as a shape. Tighter leading pulls words into a single visual block and makes the headline feel confident and intentional. One hard rule: ascenders and descenders should never touch. If your t’s and l’s are colliding with g’s and y’s, you’ve gone too far. Body text Do the opposite. Give it air. ~1.4–1.7, depending on the typeface, its x-height, and the line length. Body text is about endurance. Your reader shouldn’t notice the typography at all. If they’re aware of the type, something’s off. The goal is that they just keep going, paragraph after paragraph, without friction. In Framer, you can find the Line-height settings in the Text Panel > Line. And yes, this applies even if you’re using the same font for headlines and body text! Same font, same page, but they have completely different jobs - and different line height. Sometimes, choosing a good type isn’t enough - you need to know how much space to give letters so they can do their work.
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Save this for the next time your typography feels weird and you can’t explain why. Nine times out of ten, it’s line-height - the vertical space between lines of text that decides whether type feels confident or clumsy, readable or tiring. Headlines Compress them. ~1.05–1.25 is usually right. Headlines aren’t meant to be read carefully line by line. They’re meant to land as a shape. Tighter leading pulls words into a single visual block and makes the headline feel confident and intentional. One hard rule: ascenders and descenders should never touch. If your t’s and l’s are colliding with g’s and y’s, you’ve gone too far. Body text Do the opposite. Give it air. ~1.4–1.7, depending on the typeface, its x-height, and the line length. Body text is about endurance. Your reader shouldn’t notice the typography at all. If they’re aware of the type, something’s off. The goal is that they just keep going, paragraph after paragraph, without friction. In Framer, you can find the Line-height settings in the Text Panel > Line. And yes, this applies even if you’re using the same font for headlines and body text! Same font, same page, but they have completely different jobs - and different line height. Sometimes, choosing a good type isn’t enough - you need to know how much space to give letters so they can do their work.

charlota

21,862 görüntüleme • 7 ay önce