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I've been using Ring-2.6-1T on OpenRouter for my documentation pipeline this week. My usual flow: I dump a raw codebase or a long spec doc into the model and ask it to generate structured docs, flag inconsistencies, and draft a changelog. With other models, I was splitting this into...

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Parul Gautam

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48,658 просмотров • 1 месяц назад •via X (Twitter)

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ANTHROPIC JUST QUIETLY SHIPPED A FEATURE THAT LETS CLAUDE SPAWN A WHOLE TEAM OF AGENTS THAT MESSAGE EACH OTHER AND REVIEW EACH OTHER'S WORK. It's a Claude Code feature called agent teams. The team lead spawns multiple agents that share a task list and message each other directly, not subagents reporting back, actual peers. In the demo a QA agent caught three bugs, sent the work back to the front-end and back-end devs, they fixed it, app shipped in one pass. How to run it: 1. Enable it. Needs Claude Code v2.1.32+. Add to settings.json: "env": { "CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS": "1" }. Or paste that to Claude and say "add this to my settings." Restart. 2. Prompt in plain English. Start with a goal (agents wake with zero context), then "create a team of 3 using Sonnet," describe each role, its deliverable, and who it messages when done. 3. The rules: each agent owns its own files, define exact outputs, name who talks to who, keep it to 3-5 agents. Use it for complex work with separate parts running in parallel. Skip it for simple or sequential tasks, teams cost 3-4x the tokens. Bookmark this.
16:29

ANTHROPIC JUST QUIETLY SHIPPED A FEATURE THAT LETS CLAUDE SPAWN A WHOLE TEAM OF AGENTS THAT MESSAGE EACH OTHER AND REVIEW EACH OTHER'S WORK. It's a Claude Code feature called agent teams. The team lead spawns multiple agents that share a task list and message each other directly, not subagents reporting back, actual peers. In the demo a QA agent caught three bugs, sent the work back to the front-end and back-end devs, they fixed it, app shipped in one pass. How to run it: 1. Enable it. Needs Claude Code v2.1.32+. Add to settings.json: "env": { "CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS": "1" }. Or paste that to Claude and say "add this to my settings." Restart. 2. Prompt in plain English. Start with a goal (agents wake with zero context), then "create a team of 3 using Sonnet," describe each role, its deliverable, and who it messages when done. 3. The rules: each agent owns its own files, define exact outputs, name who talks to who, keep it to 3-5 agents. Use it for complex work with separate parts running in parallel. Skip it for simple or sequential tasks, teams cost 3-4x the tokens. Bookmark this.

Yarchi

455,893 просмотров • 12 дней назад

This is exactly what i was hoping for... - Full permissions - no "cowork" like feature which limits agent abilities - Just codex... If you ask for coding task it writes code and gives you a preview. If you ask for a presentation or doc it gives you a presentation or doc. Organized by project on the left side bar. Easy to create skills, easy to @ mention skills / plugins Btw my Readwise automation is insane. Every morning it codex sends me a deck of all my x bookmarks organized by topic. And i highly recommend using the excaladraw skill to render diagrams into docs.
0:33

This is exactly what i was hoping for... - Full permissions - no "cowork" like feature which limits agent abilities - Just codex... If you ask for coding task it writes code and gives you a preview. If you ask for a presentation or doc it gives you a presentation or doc. Organized by project on the left side bar. Easy to create skills, easy to @ mention skills / plugins Btw my Readwise automation is insane. Every morning it codex sends me a deck of all my x bookmarks organized by topic. And i highly recommend using the excaladraw skill to render diagrams into docs.

Riley Brown

65,284 просмотров • 2 месяцев назад

It was a big day for me. For the FIRST TIME in a long time, I bought more $XRP with the intention of holding it and adding to my long term bag. It’s been tough to want to buy above $2, because I got in so early at $0.17 - $0.50 and packed my bags. The only time i’ve bought more in the past couple years was for the purpose of using it to trade memecoins on the XRPL. Why haven’t I bought more? Because I was stacking my bags with other tokens and expanding my portfolio!
0:47

It was a big day for me. For the FIRST TIME in a long time, I bought more $XRP with the intention of holding it and adding to my long term bag. It’s been tough to want to buy above $2, because I got in so early at $0.17 - $0.50 and packed my bags. The only time i’ve bought more in the past couple years was for the purpose of using it to trade memecoins on the XRPL. Why haven’t I bought more? Because I was stacking my bags with other tokens and expanding my portfolio!

MASON VERSLUIS

65,617 просмотров • 5 месяцев назад

I made $40K on YouTube last month and never turned on a camera, it was 7 ChatGPT prompts Here's what I typed > Prompt 1: generate 10 viral video ideas in my niche from the latest trends > Prompt 2: write a full script with a hook, story arc, and CTA that maximizes watch time > Prompt 3: build me a faceless channel, script it, voice it, edit it, make it run without me > Prompt 4: generate a clickworthy, SEO-optimized title, description, and tags > Prompt 5: write a 15-second hook people physically can't stop watching > Prompt 6: create a 30-day growth and monetization plan from zero > Prompt 7: turn the video into a blog post, a Reel, a TikTok, and a thread 7 prompts, 1 laptop, 0 cameras the channel never needed my face, it needed my prompts
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I made $40K on YouTube last month and never turned on a camera, it was 7 ChatGPT prompts Here's what I typed > Prompt 1: generate 10 viral video ideas in my niche from the latest trends > Prompt 2: write a full script with a hook, story arc, and CTA that maximizes watch time > Prompt 3: build me a faceless channel, script it, voice it, edit it, make it run without me > Prompt 4: generate a clickworthy, SEO-optimized title, description, and tags > Prompt 5: write a 15-second hook people physically can't stop watching > Prompt 6: create a 30-day growth and monetization plan from zero > Prompt 7: turn the video into a blog post, a Reel, a TikTok, and a thread 7 prompts, 1 laptop, 0 cameras the channel never needed my face, it needed my prompts

Woody

69,715 просмотров • 20 дней назад

With the release of Kling AI 2.6, I was eager to put it up against one of its arch-rivals….Google Flow Veo 3.1. I ran four separate tests. First, I tested their ability to generate consistent and stable action shots. Second, I tested camera movement in a crowded scene. Third, I tested their ability to generate consistent facial details and emotion. Fourth, I wanted to see how well they can generated an interaction between two characters. Prompt 1: camera tracking shot, wide-shot. The camera tracks above as two nights ride on horses through a forest. The horses a galloping fast. The camera is tracking the knights from above. Prompt 2: Slow camera push in on a man eating Ramen at a Ramen house in Japan. The alley street is busy with people. Prompt 3: Close-up shot of a man on a sailboat. The man has a scared look on his face. After a short pause, the man says, "I'm gonna need a bigger boat” Prompt 4: Static camera. A man picks up a cookie from a plate and takes a bite. His dog looks up at him; eagerly wanting a bite of the cookie. The man turns, looks at the dog, and says, "no cookies for you mister” Verdict🏆: To be honest, I was surprised by Kling 2.6. While Veo 3.1 outperformed Kling 2.6 in the close-up shot test, it slightly underperformed in every other test. In the Veo 3.1 outputs, objects would randomly appear and camera movements were abrupt or didn’t adhere to the prompt. Don’t get me wrong, Kling 2.6 definitely had its flaws (its audio was quieter and often mismatched the prompt). That said, I was impressed with Kling 2.6 more than I imagined I would be. Although a somewhat small lead, I would give Kling 2.6 the slight advantage for this round of tests.
1:03

With the release of Kling AI 2.6, I was eager to put it up against one of its arch-rivals….Google Flow Veo 3.1. I ran four separate tests. First, I tested their ability to generate consistent and stable action shots. Second, I tested camera movement in a crowded scene. Third, I tested their ability to generate consistent facial details and emotion. Fourth, I wanted to see how well they can generated an interaction between two characters. Prompt 1: camera tracking shot, wide-shot. The camera tracks above as two nights ride on horses through a forest. The horses a galloping fast. The camera is tracking the knights from above. Prompt 2: Slow camera push in on a man eating Ramen at a Ramen house in Japan. The alley street is busy with people. Prompt 3: Close-up shot of a man on a sailboat. The man has a scared look on his face. After a short pause, the man says, "I'm gonna need a bigger boat” Prompt 4: Static camera. A man picks up a cookie from a plate and takes a bite. His dog looks up at him; eagerly wanting a bite of the cookie. The man turns, looks at the dog, and says, "no cookies for you mister” Verdict🏆: To be honest, I was surprised by Kling 2.6. While Veo 3.1 outperformed Kling 2.6 in the close-up shot test, it slightly underperformed in every other test. In the Veo 3.1 outputs, objects would randomly appear and camera movements were abrupt or didn’t adhere to the prompt. Don’t get me wrong, Kling 2.6 definitely had its flaws (its audio was quieter and often mismatched the prompt). That said, I was impressed with Kling 2.6 more than I imagined I would be. Although a somewhat small lead, I would give Kling 2.6 the slight advantage for this round of tests.

Curious Refuge

24,695 просмотров • 6 месяцев назад

I asked ChatGPT to turn everything it knows about me into a portfolio. Then I connected it to Gamma and it built an entire deck in less than 3 minutes. I did not design anything, I did not write anything special. ChatGPT already had the context, Gamma used the context to build something real. Here's exactly how I did it 👇 Open ChatGPT → Go to Settings → Click on Apps → Search for Gamma → Click on `refrence memories and chat` → Connect. That's it. Once connected, start a new chat and give ChatGPT a prompt about yourself. I typed: "Turn my past projects and interests into a portfolio" ChatGPT pulled everything it already knows about me and Gamma turned it into a full structured deck in minutes 🧵
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I asked ChatGPT to turn everything it knows about me into a portfolio. Then I connected it to Gamma and it built an entire deck in less than 3 minutes. I did not design anything, I did not write anything special. ChatGPT already had the context, Gamma used the context to build something real. Here's exactly how I did it 👇 Open ChatGPT → Go to Settings → Click on Apps → Search for Gamma → Click on `refrence memories and chat` → Connect. That's it. Once connected, start a new chat and give ChatGPT a prompt about yourself. I typed: "Turn my past projects and interests into a portfolio" ChatGPT pulled everything it already knows about me and Gamma turned it into a full structured deck in minutes 🧵

Oluwatimileyin✨🦋

390,207 просмотров • 2 месяцев назад

"I burned roughly $5,000 of API tokens in a few hours for $200. It's 100x subsidized. This is insanity" Kain on running 500+ agents to decompose an entire codebase on Claude Opus 4.8 "I set up my own personal account to test this on Opus 4.8. I know enough that I can come up with a task that's gonna burn a fuckload. In the course of four hours I used something like 200 million tokens and didn't hit any limits" "It was hundreds of agents, like 500 or 600 agents decomposing a codebase. It would have been somewhere on the order of $5,000 with API metered tokens, and I know how much tokens cost because that's where I live" "I ran this overnight multiple times. It's very possible I could have burned through $20,000 worth of API credits for $200. I knew it was subsidized, but it's subsidized to a level that's crazy. It's 100x subsidized"
2:06

"I burned roughly $5,000 of API tokens in a few hours for $200. It's 100x subsidized. This is insanity" Kain on running 500+ agents to decompose an entire codebase on Claude Opus 4.8 "I set up my own personal account to test this on Opus 4.8. I know enough that I can come up with a task that's gonna burn a fuckload. In the course of four hours I used something like 200 million tokens and didn't hit any limits" "It was hundreds of agents, like 500 or 600 agents decomposing a codebase. It would have been somewhere on the order of $5,000 with API metered tokens, and I know how much tokens cost because that's where I live" "I ran this overnight multiple times. It's very possible I could have burned through $20,000 worth of API credits for $200. I knew it was subsidized, but it's subsidized to a level that's crazy. It's 100x subsidized"

Laura Shin

84,941 просмотров • 17 дней назад

Jordan Spieth shot a bogey free 62 yesterday, with 6 birdies in a row, and a closing 9 of 29, to climb into the top 10 of the CJ Cup Byron Nelson. After the round he said he feels as good as he has in 9 years and then went into more detail about why: “It's physically and my mechanics. I got pretty off for a long time. I've been trying to build it back, and then I'd compensate and do what worked. “This last off-season I said no more compensating because, to be consistent, I've got to get it back to a certain place, and it's been work from then to try to get there. It's all in mechanics and health.” He then detailed what part of his game worked well in the 62: “It was putting today. I've been driving the ball the best of my life, and I drove it horribly today, like really badly. But putting was -- to go to your actual question, putting was the best. “I felt fluid with it. I felt like I -- in what I've been trying to do, I've been trying to put it all together. I know what needs to happen, but putting it all together into a fluid stroke and then being able to be outwardly focused has been the goal. “I felt like last night I did a really good job out here of that being the goal, find that, and then carry it into this morning and then trust it on the course. “Frankly, I mean, I told Michael -- I've been telling Michael for a while. I just feel like one lips in instead of lips out, and I feel like the lid comes off. I lipped out a few yesterday. I had one on No. 10 go across the lip today, but then the one on No. 1 could have been short and fell in. It was like, oh, wow, there is a hole there. “Sometimes I've certainly shown that I can get streaky with it and was able to kind of get on the right side of that today.” Jordan Spieth PGA TOUR
1:49

Jordan Spieth shot a bogey free 62 yesterday, with 6 birdies in a row, and a closing 9 of 29, to climb into the top 10 of the CJ Cup Byron Nelson. After the round he said he feels as good as he has in 9 years and then went into more detail about why: “It's physically and my mechanics. I got pretty off for a long time. I've been trying to build it back, and then I'd compensate and do what worked. “This last off-season I said no more compensating because, to be consistent, I've got to get it back to a certain place, and it's been work from then to try to get there. It's all in mechanics and health.” He then detailed what part of his game worked well in the 62: “It was putting today. I've been driving the ball the best of my life, and I drove it horribly today, like really badly. But putting was -- to go to your actual question, putting was the best. “I felt fluid with it. I felt like I -- in what I've been trying to do, I've been trying to put it all together. I know what needs to happen, but putting it all together into a fluid stroke and then being able to be outwardly focused has been the goal. “I felt like last night I did a really good job out here of that being the goal, find that, and then carry it into this morning and then trust it on the course. “Frankly, I mean, I told Michael -- I've been telling Michael for a while. I just feel like one lips in instead of lips out, and I feel like the lid comes off. I lipped out a few yesterday. I had one on No. 10 go across the lip today, but then the one on No. 1 could have been short and fell in. It was like, oh, wow, there is a hole there. “Sometimes I've certainly shown that I can get streaky with it and was able to kind of get on the right side of that today.” Jordan Spieth PGA TOUR

Flushing It

15,543 просмотров • 1 месяц назад

I tried using Lovable to create slides and it ONE-SHOTTED the entire deck for my SaaS. Took my raw notes, structured the outline, added animations, and turned it into clean, designer-level slides without me touching a single thing. If you’re building anything in 2026, learn how to pitch FAST. A good deck opens doors before the product even exists. Comment "DECK" and I’ll send you the full prompt.
0:25

I tried using Lovable to create slides and it ONE-SHOTTED the entire deck for my SaaS. Took my raw notes, structured the outline, added animations, and turned it into clean, designer-level slides without me touching a single thing. If you’re building anything in 2026, learn how to pitch FAST. A good deck opens doors before the product even exists. Comment "DECK" and I’ll send you the full prompt.

Prajwal Tomar

64,467 просмотров • 4 месяцев назад

I asked Garry Tan how to use meta prompting to get better at AI: "My partners at YC Jared Friedman and Pete Koomen showed me how to do this. You can take almost anything that you do all the time and just drop it into a context window. And then say, “Here’s a bunch of inputs and outputs." And maybe you also add a bunch of notes. And then you tell it, “Write me a prompt that can act as an agent that takes this input and makes this output over here.” You can do this for almost any type of knowledge work. And you can even introspect. "What are things you notice that I did to convert this from the input to the output?”. And then you can just start using the prompt. Initially, it’s going to suck. Because it’s just not that smart yet. But what’s funny is now, I also use it to Iterate my writing. You can be very direct, "I would never say that", "Don’t say it like this", or "Oh, you used the long word there, use the short word". Just speak to it conversationally. And then when you're happy with the output, you can use that new output to make a new prompt. "Based on this conversation, give me a better initial prompt that incorporates all the things we talked about." And you can do this with literally everything. And in theory, there’s so much it applies to that people do day-to-day. You could use it for tweets. You could use it for editing podcasts. You can use it for pretty much everything. I have a folder of prompts that I use all the time. My YouTube prompt is on v27 or something. I'll go through this process with all the different max models. I'll use GPT 5.2 Pro. I’ll use Grok. I'll use Claude. Then, I’ll take all the outputs from all the models and put them into Claude and say "Here’s my prompt, here’s the output from four LLMs, including yourself. Rate each response and tell me what the pros and cons of each approach are." And I usually say "give it to me in numbered form". And then you can agree with one, disagree with two, tell it three is this or that. And then after that, you say given all of this, synthesize it."
4:16

I asked Garry Tan how to use meta prompting to get better at AI: "My partners at YC Jared Friedman and Pete Koomen showed me how to do this. You can take almost anything that you do all the time and just drop it into a context window. And then say, “Here’s a bunch of inputs and outputs." And maybe you also add a bunch of notes. And then you tell it, “Write me a prompt that can act as an agent that takes this input and makes this output over here.” You can do this for almost any type of knowledge work. And you can even introspect. "What are things you notice that I did to convert this from the input to the output?”. And then you can just start using the prompt. Initially, it’s going to suck. Because it’s just not that smart yet. But what’s funny is now, I also use it to Iterate my writing. You can be very direct, "I would never say that", "Don’t say it like this", or "Oh, you used the long word there, use the short word". Just speak to it conversationally. And then when you're happy with the output, you can use that new output to make a new prompt. "Based on this conversation, give me a better initial prompt that incorporates all the things we talked about." And you can do this with literally everything. And in theory, there’s so much it applies to that people do day-to-day. You could use it for tweets. You could use it for editing podcasts. You can use it for pretty much everything. I have a folder of prompts that I use all the time. My YouTube prompt is on v27 or something. I'll go through this process with all the different max models. I'll use GPT 5.2 Pro. I’ll use Grok. I'll use Claude. Then, I’ll take all the outputs from all the models and put them into Claude and say "Here’s my prompt, here’s the output from four LLMs, including yourself. Rate each response and tell me what the pros and cons of each approach are." And I usually say "give it to me in numbered form". And then you can agree with one, disagree with two, tell it three is this or that. And then after that, you say given all of this, synthesize it."

The Peel

51,632 просмотров • 4 месяцев назад

I'm proud to present this video created with Grok. Here are the main steps in the making of this video: 1. I wrote a draft script by hand. 2. I reworked the script with Grok to eliminate inconsistencies and add technical details (what I have them say about the Apollo missions and the stones is accurate). 3. Grok broke it down into scenes. 4. I switched to Grok Imagine's Agent mode: transforming each scene into a prompt. 5. I animated each scene in Agent mode using video, as well as cropping and image selection. 6. I edited it. Here's the result; it's hard to call it AI. I look forward to reading your comments. Grok Imagine Elon Musk
2:42

I'm proud to present this video created with Grok. Here are the main steps in the making of this video: 1. I wrote a draft script by hand. 2. I reworked the script with Grok to eliminate inconsistencies and add technical details (what I have them say about the Apollo missions and the stones is accurate). 3. Grok broke it down into scenes. 4. I switched to Grok Imagine's Agent mode: transforming each scene into a prompt. 5. I animated each scene in Agent mode using video, as well as cropping and image selection. 6. I edited it. Here's the result; it's hard to call it AI. I look forward to reading your comments. Grok Imagine Elon Musk

Déborah

67,972 просмотров • 19 дней назад

🔥 💻 🎥 How to provide o1 Pro with your FULL CODEBASE through the ChatGPT Cursor connection yesterday I recorded a video connecting o1 Pro to Cursor through the ChatGPT Desktop app more than one person commented on how limiting it is for o1 Pro to only have access to a single open file in Cursor here's a walkthrough of how you can provide o1 Pro with your FULL CODEBASE as context instead of just a single file: 1. Write a Python function that concatenates full codebase into a single snapshot in a .txt file (link in comment) 2. Open that "codebase_snapshot.txt" in a separate Cursor pane 3. Go to the ChatGPT app and ask it what context it has access to through Cursor - should say it has two files with one of them being the codebase snapshot and boom there ya go. o1 Pro has access to everything in your codebase full walkthrough here 👇
6:14

🔥 💻 🎥 How to provide o1 Pro with your FULL CODEBASE through the ChatGPT Cursor connection yesterday I recorded a video connecting o1 Pro to Cursor through the ChatGPT Desktop app more than one person commented on how limiting it is for o1 Pro to only have access to a single open file in Cursor here's a walkthrough of how you can provide o1 Pro with your FULL CODEBASE as context instead of just a single file: 1. Write a Python function that concatenates full codebase into a single snapshot in a .txt file (link in comment) 2. Open that "codebase_snapshot.txt" in a separate Cursor pane 3. Go to the ChatGPT app and ask it what context it has access to through Cursor - should say it has two files with one of them being the codebase snapshot and boom there ya go. o1 Pro has access to everything in your codebase full walkthrough here 👇

Dan McAteer

99,614 просмотров • 1 год назад

VEO 3 + Markdown prompting is pretty wild 🤯 This BRĒZ UGC video was created entirely with AI. And it's all about the prompt. This Markdown prompting technique will take any generic VEO3 prompt.. And turn it into surgical-precision video generation with brand consistency. Perfect for creative strategists and DTC operators. But instead of manually writing paragraph prompts and hoping for good outputs... Just use structured Markdown prompts and get brand-ready videos with way higher coherence. The best part? Your prompt precision goes through the roof -> organized by camera angles, brand elements, lighting specs, & scene transitions. Here's what Markdown prompting gives you: → hierarchical structure instead of paragraph descriptions → precise creative direction for VEO 3 → consistent brand-ready video outputs → way higher prompt coherence → eliminates the creative lottery problem Now you've got predictable video generation instead of random outputs. Want the full Markdown prompt templates? Comment "MARKDOWN" + like and I'll send it over (must be following so I can DM)
0:23

VEO 3 + Markdown prompting is pretty wild 🤯 This BRĒZ UGC video was created entirely with AI. And it's all about the prompt. This Markdown prompting technique will take any generic VEO3 prompt.. And turn it into surgical-precision video generation with brand consistency. Perfect for creative strategists and DTC operators. But instead of manually writing paragraph prompts and hoping for good outputs... Just use structured Markdown prompts and get brand-ready videos with way higher coherence. The best part? Your prompt precision goes through the roof -> organized by camera angles, brand elements, lighting specs, & scene transitions. Here's what Markdown prompting gives you: → hierarchical structure instead of paragraph descriptions → precise creative direction for VEO 3 → consistent brand-ready video outputs → way higher prompt coherence → eliminates the creative lottery problem Now you've got predictable video generation instead of random outputs. Want the full Markdown prompt templates? Comment "MARKDOWN" + like and I'll send it over (must be following so I can DM)

Mike Futia

38,305 просмотров • 9 месяцев назад

First fight ever and I really put my heart on the line. 3v1 is no joke — at moments I genuinely felt like I was gonna die in that ring, but I kept pushing because quitting was never an option. I trained through stress, doubt, noise and pressure and still showed up. Big respect to the other fighters for stepping in and giving it everything — no easy work in there. Massive thank you to my coach for believing in me and guiding me through it, and to Unhinged Promotions for putting on a proper show. This wasn’t just a fight, this was a test of character. Proud of myself. On to the next. 🥊
0:44

First fight ever and I really put my heart on the line. 3v1 is no joke — at moments I genuinely felt like I was gonna die in that ring, but I kept pushing because quitting was never an option. I trained through stress, doubt, noise and pressure and still showed up. Big respect to the other fighters for stepping in and giving it everything — no easy work in there. Massive thank you to my coach for believing in me and guiding me through it, and to Unhinged Promotions for putting on a proper show. This wasn’t just a fight, this was a test of character. Proud of myself. On to the next. 🥊

Mizzy

52,981 просмотров • 5 месяцев назад

Being able to move fluidly between Figma Make and the canvas is a pretty big deal Recent example 👇 1️⃣ Started exploring a minified recording toolbar directly on the canvas 2️⃣ Once I had some rough shapes I moved it into Make, imported my style guide, and started bringing it to life with expandable controls, hover states, and tooltips for keyboard shortcuts 3️⃣ A few prompts later, I had something interesting… but the layout wasn’t quite right. 4️⃣ So I jumped back into the canvas and made ~8 quick variations with a bigger video container. 5️⃣ Once I got somewhere interesting I brought that back into Make. All I had to do was copy and paste the frames for my default and hover state of the component and it pretty much nailed the core layout 6️⃣ Then I layered on the timer and made it interactive. But once I got it back into Make I thought "hmm... what if the toolbar layout was based on which quadrant of the screen the component was in 🤔" I was able to one shot this interaction and after playing with it a bunch I kinda love it? 7️⃣ Sent it to the team in Inflight so everyone could play with the prototype. 8️⃣ Brought the up to date UI back into the canvas to polish some of the tooltip details Before this, it always felt like I had to choose between two very different workflows. Now I can bounce between them seamlessly and it’s genuinely changing how I explore ideas.
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Being able to move fluidly between Figma Make and the canvas is a pretty big deal Recent example 👇 1️⃣ Started exploring a minified recording toolbar directly on the canvas 2️⃣ Once I had some rough shapes I moved it into Make, imported my style guide, and started bringing it to life with expandable controls, hover states, and tooltips for keyboard shortcuts 3️⃣ A few prompts later, I had something interesting… but the layout wasn’t quite right. 4️⃣ So I jumped back into the canvas and made ~8 quick variations with a bigger video container. 5️⃣ Once I got somewhere interesting I brought that back into Make. All I had to do was copy and paste the frames for my default and hover state of the component and it pretty much nailed the core layout 6️⃣ Then I layered on the timer and made it interactive. But once I got it back into Make I thought "hmm... what if the toolbar layout was based on which quadrant of the screen the component was in 🤔" I was able to one shot this interaction and after playing with it a bunch I kinda love it? 7️⃣ Sent it to the team in Inflight so everyone could play with the prototype. 8️⃣ Brought the up to date UI back into the canvas to polish some of the tooltip details Before this, it always felt like I had to choose between two very different workflows. Now I can bounce between them seamlessly and it’s genuinely changing how I explore ideas.

Ridd 🤿

27,665 просмотров • 8 месяцев назад

🧵1/3 I partnered with Kling to make a promo for their new 3.0 model. I came up with the concept, created it and delivered it all on my own in 3 days of early access, I wanted to make something that showed how Kling could be used to tell a diverse range of stories in a diverse range of styles. I've honestly been blown away be how incredible the model is and I haven't even scratched the surface of features like the new 3.0 OMNI model. For me Kling 2.6 was already best in class for most things but 3.0 sees massive improvements to video quality and detail (no need to add grain to mask imperfections) and prompt adherence. Also you can time your generations to be as long as 15 seconds and as short as 3, this is fantastic for pacing your scenes. Read on to find out more about the new Performance and Multi shot features!👇
1:26

🧵1/3 I partnered with Kling to make a promo for their new 3.0 model. I came up with the concept, created it and delivered it all on my own in 3 days of early access, I wanted to make something that showed how Kling could be used to tell a diverse range of stories in a diverse range of styles. I've honestly been blown away be how incredible the model is and I haven't even scratched the surface of features like the new 3.0 OMNI model. For me Kling 2.6 was already best in class for most things but 3.0 sees massive improvements to video quality and detail (no need to add grain to mask imperfections) and prompt adherence. Also you can time your generations to be as long as 15 seconds and as short as 3, this is fantastic for pacing your scenes. Read on to find out more about the new Performance and Multi shot features!👇

Uncanny Harry AI

28,977 просмотров • 4 месяцев назад

o1-pro is probably the best model i've used for coding, hands down i gave it a pretty complicated codebase and asked it to refactor while referencing docs the difference between claude/gemini/o1 and o1 pro is night and day. first time in a while i've been this impressed. full comparison in the video + code.
7:33

o1-pro is probably the best model i've used for coding, hands down i gave it a pretty complicated codebase and asked it to refactor while referencing docs the difference between claude/gemini/o1 and o1 pro is night and day. first time in a while i've been this impressed. full comparison in the video + code.

Sully

255,372 просмотров • 1 год назад

I fed an *entire* biology textbook into Gemini 1.5 Pro. 491,002 tokens. I asked it 3 extremely specific questions, and it got each answer 100% correct. 1M token context windows are a gamechanger.
5:13

I fed an *entire* biology textbook into Gemini 1.5 Pro. 491,002 tokens. I asked it 3 extremely specific questions, and it got each answer 100% correct. 1M token context windows are a gamechanger.

Mckay Wrigley

627,968 просмотров • 2 лет назад

Colton McKivitz was asked if there are any regrets in signing a contract extension rather than testing free agency: “No, not one. My goal never was to be the highest paid. Obviously you’re in the NFL and money’s the main thing. We all want to get paid and have generational wealth… With the contract I was offered and honestly I don’t want to leave here. Obviously being cut I got some scars there, but to be cut, be a draft pick here, a gold helmet guy— whatever that means, but there was a reason why I was drafted here, why I was cut here, why I still play here and now I have had 3 good seasons starting and going into the 4th. The grass isn’t always greener on the other side. I saw a lot of guys not get paid in free agency this year. I like it here and I want to be on that 10 year wall.”
1:37

Colton McKivitz was asked if there are any regrets in signing a contract extension rather than testing free agency: “No, not one. My goal never was to be the highest paid. Obviously you’re in the NFL and money’s the main thing. We all want to get paid and have generational wealth… With the contract I was offered and honestly I don’t want to leave here. Obviously being cut I got some scars there, but to be cut, be a draft pick here, a gold helmet guy— whatever that means, but there was a reason why I was drafted here, why I was cut here, why I still play here and now I have had 3 good seasons starting and going into the 4th. The grass isn’t always greener on the other side. I saw a lot of guys not get paid in free agency this year. I like it here and I want to be on that 10 year wall.”

Coach Yac 🗣

112,703 просмотров • 1 месяц назад

Back in the ring with Joe Calzaghe🙌 Spent time with Joe Calzaghe at Calzaghe Academy. I got back in the ring with Joe this was a dream come true for me and done some pads. Joe was helping me do some Physio on my weaker left side and experience being "Safely" back in the ring with my brain injury. I struggle with my weaker left side and it aches but this was great for my Mental Health 💙 My Idol 🌟 Thanks so much for today Joe Calzaghe it meant the world to me 🙌 JoeCalzagheJr #boxing #mentalhealth #braininjury #joecalzaghe
1:57

Back in the ring with Joe Calzaghe🙌 Spent time with Joe Calzaghe at Calzaghe Academy. I got back in the ring with Joe this was a dream come true for me and done some pads. Joe was helping me do some Physio on my weaker left side and experience being "Safely" back in the ring with my brain injury. I struggle with my weaker left side and it aches but this was great for my Mental Health 💙 My Idol 🌟 Thanks so much for today Joe Calzaghe it meant the world to me 🙌 JoeCalzagheJr #boxing #mentalhealth #braininjury #joecalzaghe

NICK BLACKWELL

239,561 просмотров • 1 год назад