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Astra Yao Date ❤️ She’ll want to see you again... 2K version available for supporters! Models: DaB Map: Lambo🔞COMMS OPEN (0/3) SFX Pack: OpenNSFW #ZZZ #ZenlessZoneZero #AstraYao #Wise

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Vast3D

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44,172 Aufrufe • vor 5 Monaten •via X (Twitter)

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DecaVA | Vtuber

30,314 Aufrufe • vor 1 Jahr

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.
28:20

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 Aufrufe • vor 5 Monaten

Nothing beats open-source! We now have a fully open-source coding agent that can compete with any proprietary solution out there: • 500+ available models • It doesn't train on your code • It doesn't charge a penny for tokens • It's open. You can change if you want. Kilo Code is the #1 app on OpenRouter right now, and the community is releasing new features on GitHub at rocket speed (about 20 releases in the last 30 days). I installed it in Visual Studio Code, but you can install it in pretty much any IDE. I need to spend more time with it, but here is a very interesting design choice: Most coding agents support two modes: an "agentic" mode for writing code and an "ask" mode for talking to the model without making any changes. Kilo Code supports 5 different modes: 1. Architect mode - Research, design, and planning 2. Debug mode - Problem solving and troubleshooting 3. Code mode - To write code. 4. Ask mode - To talk to the model. 5. Orchestrator mode - Combine every agent to solve problems. On paper, I really like this. I'll need more time to try out the specialized agents and see whether niching becomes an advantage. Here is the link to the website: Thanks to the Kilo for partnering with me on this post.
6:17

Nothing beats open-source! We now have a fully open-source coding agent that can compete with any proprietary solution out there: • 500+ available models • It doesn't train on your code • It doesn't charge a penny for tokens • It's open. You can change if you want. Kilo Code is the #1 app on OpenRouter right now, and the community is releasing new features on GitHub at rocket speed (about 20 releases in the last 30 days). I installed it in Visual Studio Code, but you can install it in pretty much any IDE. I need to spend more time with it, but here is a very interesting design choice: Most coding agents support two modes: an "agentic" mode for writing code and an "ask" mode for talking to the model without making any changes. Kilo Code supports 5 different modes: 1. Architect mode - Research, design, and planning 2. Debug mode - Problem solving and troubleshooting 3. Code mode - To write code. 4. Ask mode - To talk to the model. 5. Orchestrator mode - Combine every agent to solve problems. On paper, I really like this. I'll need more time to try out the specialized agents and see whether niching becomes an advantage. Here is the link to the website: Thanks to the Kilo for partnering with me on this post.

Santiago

73,062 Aufrufe • vor 9 Monaten

U-Net by hand ✍️ ~ 17 steps walkthrough below I consider U-Net as a key milestone in deep learning, the first image-to-image model that really worked! It came out of medical imaging, an unusual place, not from NeurIPS or CVPR or ACL. Now it is the backbone of diffusion models, which you see in almost all modern image generation models. I drew the network as a C so the matrix multiplication flows naturally down. Tilt your head to the right and it is a U again. 🤣 Goal: push a 3 x 16 image down to a 2 x 4 bottleneck and back out again, filling in every cell yourself. = 1. Given = An image of three channels, R, G and B, sixteen pixels wide, and every kernel the network will use. = 2. Convolution 1 = Let us slide the first kernel over the image. Each output is one multiply-and-add over a 2 x 3 window, and the result is the green feature map. = 3. Find the maxima = We circle the largest value in each 1 x 2 window. Circling first is worth the extra step: it is the pooling decision, made before anything is written down. = 4. Max pool 1 = Let us copy those maxima down. Sixteen columns become eight, and half the detail is gone for good. = 5. Convolution 2 = We convolve again with the second kernel, deeper into the contracting path. The feature map is blue now. = 6. Find the maxima again = Same move as step 3, on the blue map. = 7. Max pool 2 = Eight columns become four. = 8. The bottleneck = Let us convolve once more. This is the bottom of the U, a 2 x 4 block that is everything the network kept. = 9. Spread it out = We start back up. The transposed convolution writes each bottleneck value into a wider grid, leaving gaps between them. = 10. Transposed convolution 1 = Let us fill those gaps by convolving over the spread-out grid. Four columns become eight. = 11. The first skip = We copy the encoder's matching row straight across. This is the skip connection, and it is the whole reason a U-Net can recover detail that pooling threw away. = 12. Convolution with the skip = Let us convolve the upsampled features together with the copied ones. = 13. Spread it out again = Same as step 9, one level up. = 14. Transposed convolution 2 = Eight columns become sixteen, back to the width we started at. = 15. The second skip = The encoder's first feature map comes across, the one made before any pooling happened. = 16. Convolution and ReLU = We convolve, then cross out every negative and set it to zero. = 17. Output convolution = Let us apply the last kernel. Out comes R', G' and B', an image the same size as the one we started with. The outputs: R' = [3, 0, 7, 0, 7, 0, 17, 0, 3, 0, 9, 0, 2, 0, 6, 0] G' = [1, 20, 1, 10, 1, 12, 1, 19, 2, 5, 1, 11, 1, 3, 1, 7] B' = [4, 20, 8, 10, 8, 12, 18, 19, 5, 5, 10, 11, 3, 3, 7, 7] Congrats! You just calculated a U-Net by hand. 💾 Save this post!
0:37

U-Net by hand ✍️ ~ 17 steps walkthrough below I consider U-Net as a key milestone in deep learning, the first image-to-image model that really worked! It came out of medical imaging, an unusual place, not from NeurIPS or CVPR or ACL. Now it is the backbone of diffusion models, which you see in almost all modern image generation models. I drew the network as a C so the matrix multiplication flows naturally down. Tilt your head to the right and it is a U again. 🤣 Goal: push a 3 x 16 image down to a 2 x 4 bottleneck and back out again, filling in every cell yourself. = 1. Given = An image of three channels, R, G and B, sixteen pixels wide, and every kernel the network will use. = 2. Convolution 1 = Let us slide the first kernel over the image. Each output is one multiply-and-add over a 2 x 3 window, and the result is the green feature map. = 3. Find the maxima = We circle the largest value in each 1 x 2 window. Circling first is worth the extra step: it is the pooling decision, made before anything is written down. = 4. Max pool 1 = Let us copy those maxima down. Sixteen columns become eight, and half the detail is gone for good. = 5. Convolution 2 = We convolve again with the second kernel, deeper into the contracting path. The feature map is blue now. = 6. Find the maxima again = Same move as step 3, on the blue map. = 7. Max pool 2 = Eight columns become four. = 8. The bottleneck = Let us convolve once more. This is the bottom of the U, a 2 x 4 block that is everything the network kept. = 9. Spread it out = We start back up. The transposed convolution writes each bottleneck value into a wider grid, leaving gaps between them. = 10. Transposed convolution 1 = Let us fill those gaps by convolving over the spread-out grid. Four columns become eight. = 11. The first skip = We copy the encoder's matching row straight across. This is the skip connection, and it is the whole reason a U-Net can recover detail that pooling threw away. = 12. Convolution with the skip = Let us convolve the upsampled features together with the copied ones. = 13. Spread it out again = Same as step 9, one level up. = 14. Transposed convolution 2 = Eight columns become sixteen, back to the width we started at. = 15. The second skip = The encoder's first feature map comes across, the one made before any pooling happened. = 16. Convolution and ReLU = We convolve, then cross out every negative and set it to zero. = 17. Output convolution = Let us apply the last kernel. Out comes R', G' and B', an image the same size as the one we started with. The outputs: R' = [3, 0, 7, 0, 7, 0, 17, 0, 3, 0, 9, 0, 2, 0, 6, 0] G' = [1, 20, 1, 10, 1, 12, 1, 19, 2, 5, 1, 11, 1, 3, 1, 7] B' = [4, 20, 8, 10, 8, 12, 18, 19, 5, 5, 10, 11, 3, 3, 7, 7] Congrats! You just calculated a U-Net by hand. 💾 Save this post!

Tom Yeh

17,510 Aufrufe • vor 26 Tagen

Matthew Gallagher Built a $401M Company in Year One with 2 People. And the tool behind it? Claude Code. This year he's on track for $1.8B. Sam Altman predicted this. It's happening now. The problem? It costs money. API credits stack up. Monthly bills keep growing. Every prompt eats your budget. Every project drains your wallet faster. Until now. Two methods. 99% cheaper. One is completely free. Forever. $0. Not a trial. This video breaks down both step by step. ↓ Let me put this in perspective. $100-$500. That's monthly. That's what you spend. That's $6,000/year on API credits. Just to use a tool you haven't shipped anything with. The $401M guy? Spending $0. Same capability. Shipping weekly. Different cost structure. Different results. Different life. I'm about to hand you his cost structure for free. ↓ Open source vs closed source. Pay attention. Closed source: Claude. GPT-4. Pay per token. Meter always running. Open source: Qwen. Llama. Mistral. Free to download. Free to run. Free forever. No meter. No tokens. No bill. Here's what nobody tells you: 80% of coding tasks? Open source handles them. More than handles them. Writes clean code. Debugs errors. Generates boilerplate. Handles routine work perfectly. You're paying premium prices for tasks that don't need premium intelligence. That's hiring a brain surgeon to put on a bandaid. Smart play: Free models for the 80%. Paid credits for the 20%. That's what the $401M guy does. That's what this video teaches you. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses. ↓ Method 1: Ollama. Local. Free. Forever. Download it. Pull a model. Point Claude Code at it. Done. No internet needed. No API keys required. No monthly subscription. No token counting ever. No bill. Today. Tomorrow. Ever. Your data never leaves your computer. Complete privacy. Complete freedom. Claude Code thinks it's talking to the cloud. It's talking to your laptop. For $0. The video walks through every step: Every config file. Every variable. Every command. Every click. If you can follow a recipe, you can do this. People who set this up 3 months ago? Saved $300-$1,500 since then. Workflow didn't change one bit. ↓ Hardware you need: 16GB RAM: 7B models run smooth. 32GB RAM: 32B models run comfortable. 64GB + GPU: biggest models available. No GPU? Still works. Just slower. Few extra seconds. That's it. Your $1,500 laptop is sitting there running Chrome and Spotify. Put it to work saving you $200/month instead. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses. ↓ Method 2: Open Router. Free Cloud. No Hardware. Weak machine? Don't want local setup? This method is for you. Free AI models in the cloud. No download. No hardware. Configure Claude Code to route through Open Router. The config: Base URL: Open Router API. API key: free Open Router key. Default Sonnet: free. Default Opus: free. Default Haiku: free. Small fast model: free. Subagent model: free. Free. Free. Free. Free. Free across the board. Same interface. Same commands. Same workflow. Zero cost. Copy the config from the video. Paste it. Save $200/month. Starting today. Right now. ↓ When to use which: Ollama (local): Best for privacy. Best for offline work. Best for unlimited usage. Best if you have decent hardware. Open Router (cloud): Best for weak machines. Best for instant setup. Best for trying different models. Best if you don't want to manage anything. Both methods: Best for 80% of your daily work. Still use paid Claude for: Complex architecture. Multi-file refactoring. Deep reasoning tasks. The 20% that actually needs it. $20/month instead of $200/month. Same output. 90% less cost. ↓ The math that should make you angry. You (current): $200-$500/month. $2,400-$6,000/year. $7,200-$18,000 over 3 years. You (after this video): $20-$50/month. $240-$600/year. $720-$1,800 over 3 years. Savings over 3 years: $6,480-$16,200. That's a used car. That's seed money. That's 6 months of rent. All from one 25-minute video. All from 15 minutes of configuration. Highest ROI 25 minutes you'll spend this year. ↓ The limitations. I won't lie to you. Open source is not Opus. Not as smart on complex reasoning. Not as good at long-context tasks. Makes more mistakes on nuanced problems. But they are: Free. Capable. Getting better monthly. Good enough for 80% of daily work. Smart cost management isn't being cheap. It's being strategic. Expensive tool when it matters. Free tool when it doesn't. ↓ The one-person billion-dollar company is coming. $401M in year one proved it's possible. The building blocks: AI that codes: Claude Code. Way to run it free: this video. Distribution: the internet. Customers: everyone. Only missing ingredient? Someone who builds. Not reads about building. Not saves posts about building. Not bookmarks videos about building. Builds. Tools are free. Knowledge is free. Opportunity is screaming. You're still "thinking about it." ↓ Your action plan: Tonight: Watch the video. Tomorrow morning: Set up Ollama or Open Router. Tomorrow afternoon: Build something. Anything. This week: Build a second thing. Faster. This month: Charge someone for it. One video. One setup. One weekend. $0 cost. Unlimited potential. Or keep paying $200/month for something you could get free. Keep consuming instead of building. Keep planning instead of shipping. Matthew Gallagher didn't plan a $401M company. He built it. Full video attached. Every method. Every config. Every tradeoff. 25 minutes. Your move. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses.
25:22

Matthew Gallagher Built a $401M Company in Year One with 2 People. And the tool behind it? Claude Code. This year he's on track for $1.8B. Sam Altman predicted this. It's happening now. The problem? It costs money. API credits stack up. Monthly bills keep growing. Every prompt eats your budget. Every project drains your wallet faster. Until now. Two methods. 99% cheaper. One is completely free. Forever. $0. Not a trial. This video breaks down both step by step. ↓ Let me put this in perspective. $100-$500. That's monthly. That's what you spend. That's $6,000/year on API credits. Just to use a tool you haven't shipped anything with. The $401M guy? Spending $0. Same capability. Shipping weekly. Different cost structure. Different results. Different life. I'm about to hand you his cost structure for free. ↓ Open source vs closed source. Pay attention. Closed source: Claude. GPT-4. Pay per token. Meter always running. Open source: Qwen. Llama. Mistral. Free to download. Free to run. Free forever. No meter. No tokens. No bill. Here's what nobody tells you: 80% of coding tasks? Open source handles them. More than handles them. Writes clean code. Debugs errors. Generates boilerplate. Handles routine work perfectly. You're paying premium prices for tasks that don't need premium intelligence. That's hiring a brain surgeon to put on a bandaid. Smart play: Free models for the 80%. Paid credits for the 20%. That's what the $401M guy does. That's what this video teaches you. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses. ↓ Method 1: Ollama. Local. Free. Forever. Download it. Pull a model. Point Claude Code at it. Done. No internet needed. No API keys required. No monthly subscription. No token counting ever. No bill. Today. Tomorrow. Ever. Your data never leaves your computer. Complete privacy. Complete freedom. Claude Code thinks it's talking to the cloud. It's talking to your laptop. For $0. The video walks through every step: Every config file. Every variable. Every command. Every click. If you can follow a recipe, you can do this. People who set this up 3 months ago? Saved $300-$1,500 since then. Workflow didn't change one bit. ↓ Hardware you need: 16GB RAM: 7B models run smooth. 32GB RAM: 32B models run comfortable. 64GB + GPU: biggest models available. No GPU? Still works. Just slower. Few extra seconds. That's it. Your $1,500 laptop is sitting there running Chrome and Spotify. Put it to work saving you $200/month instead. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses. ↓ Method 2: Open Router. Free Cloud. No Hardware. Weak machine? Don't want local setup? This method is for you. Free AI models in the cloud. No download. No hardware. Configure Claude Code to route through Open Router. The config: Base URL: Open Router API. API key: free Open Router key. Default Sonnet: free. Default Opus: free. Default Haiku: free. Small fast model: free. Subagent model: free. Free. Free. Free. Free. Free across the board. Same interface. Same commands. Same workflow. Zero cost. Copy the config from the video. Paste it. Save $200/month. Starting today. Right now. ↓ When to use which: Ollama (local): Best for privacy. Best for offline work. Best for unlimited usage. Best if you have decent hardware. Open Router (cloud): Best for weak machines. Best for instant setup. Best for trying different models. Best if you don't want to manage anything. Both methods: Best for 80% of your daily work. Still use paid Claude for: Complex architecture. Multi-file refactoring. Deep reasoning tasks. The 20% that actually needs it. $20/month instead of $200/month. Same output. 90% less cost. ↓ The math that should make you angry. You (current): $200-$500/month. $2,400-$6,000/year. $7,200-$18,000 over 3 years. You (after this video): $20-$50/month. $240-$600/year. $720-$1,800 over 3 years. Savings over 3 years: $6,480-$16,200. That's a used car. That's seed money. That's 6 months of rent. All from one 25-minute video. All from 15 minutes of configuration. Highest ROI 25 minutes you'll spend this year. ↓ The limitations. I won't lie to you. Open source is not Opus. Not as smart on complex reasoning. Not as good at long-context tasks. Makes more mistakes on nuanced problems. But they are: Free. Capable. Getting better monthly. Good enough for 80% of daily work. Smart cost management isn't being cheap. It's being strategic. Expensive tool when it matters. Free tool when it doesn't. ↓ The one-person billion-dollar company is coming. $401M in year one proved it's possible. The building blocks: AI that codes: Claude Code. Way to run it free: this video. Distribution: the internet. Customers: everyone. Only missing ingredient? Someone who builds. Not reads about building. Not saves posts about building. Not bookmarks videos about building. Builds. Tools are free. Knowledge is free. Opportunity is screaming. You're still "thinking about it." ↓ Your action plan: Tonight: Watch the video. Tomorrow morning: Set up Ollama or Open Router. Tomorrow afternoon: Build something. Anything. This week: Build a second thing. Faster. This month: Charge someone for it. One video. One setup. One weekend. $0 cost. Unlimited potential. Or keep paying $200/month for something you could get free. Keep consuming instead of building. Keep planning instead of shipping. Matthew Gallagher didn't plan a $401M company. He built it. Full video attached. Every method. Every config. Every tradeoff. 25 minutes. Your move. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses.

Himanshu Kumar

13,599 Aufrufe • vor 4 Monaten

How to find hidden gems with 5-10x potential every day. My standout calls prove it consistently: $FRED 900K > 270M (290x) $ASTRA 210K > 3.2M (14x) $ANGUS 330K > 3M (7x) $MIMI 200K > 1M (5x) All you need is GMGN and one tool. Open GMGN using the link: [link], and start analyzing the first tokens. In the Meme tab, set filters in the third column: > With at least 1 social > MKT Cap: min 150k > 1h TXs: min 300 > Total Holders: min 400 The dev should hold no more than 3-5% of the total token supply, or ideally 0%. Top 10 holders should control about 10-20%, which is reasonable for a market cap of 100-200k. Make sure most snipers have exited their positions. Check the top holders to see if they’re in profit or at a loss, and assess if they could create pressure on the chart. Also, see if those who bought tokens before their migration to Raydium have exited. Check all social media channels available, or find out the reason for the token's existence—whether it's due to news, TikTok, or simply a competent dev. Use TrenchRadar to confirm that the token wasn’t heavily bought by bots or that the current holdings aren't dominated by them. If everything checks out, look for an entry point and make your purchase. Bookmark this so you don’t lose it and can use it consistently.
1:54

How to find hidden gems with 5-10x potential every day. My standout calls prove it consistently: $FRED 900K > 270M (290x) $ASTRA 210K > 3.2M (14x) $ANGUS 330K > 3M (7x) $MIMI 200K > 1M (5x) All you need is GMGN and one tool. Open GMGN using the link: [link], and start analyzing the first tokens. In the Meme tab, set filters in the third column: > With at least 1 social > MKT Cap: min 150k > 1h TXs: min 300 > Total Holders: min 400 The dev should hold no more than 3-5% of the total token supply, or ideally 0%. Top 10 holders should control about 10-20%, which is reasonable for a market cap of 100-200k. Make sure most snipers have exited their positions. Check the top holders to see if they’re in profit or at a loss, and assess if they could create pressure on the chart. Also, see if those who bought tokens before their migration to Raydium have exited. Check all social media channels available, or find out the reason for the token's existence—whether it's due to news, TikTok, or simply a competent dev. Use TrenchRadar to confirm that the token wasn’t heavily bought by bots or that the current holdings aren't dominated by them. If everything checks out, look for an entry point and make your purchase. Bookmark this so you don’t lose it and can use it consistently.

Leni

47,771 Aufrufe • vor 1 Jahr

Young boys are STARVED for strong positive male models. I spoke at career day at my daughter's school. I ended up speaking to 100 + high schoolers. I hit a few main points: 1) There aren't as many rules as THEY sell you. So long as you're willing to work hard, fail forward, & care 0% what AVERAGE people think..... no one can stop you from creating the life you want! 2) Being kind, likable, & encouraging of others is a massive advantage in business & life. Kindness has unlimited upside & zero downside. Treat everyone well, build others up, & focus on GIVING FIRST! 3) You can be a VICTOR or VICTIM, but you can never be both. Reject all forms of victimhood & excuses. Take EXTREME OWNERSHIP of your life!! 4) Be strong, masculine, lift weights, eat healthy, read, create more than you consume, & how you spend your free time will determine your success in life. I also mentioned my faith in every class. I told my story of making 7 figures in poker only to squander most of it. I told how I managed a bank, was unhappy doing it & decided to CREATE A JOB FOR MYSELF I LOVED. I told the young ladies about my wife & the reason I chose & married her was because she told me IF YOU WANT TO FALL IN LOVE WITH MY BODY, THEN YOU'LL HAVE TO FALL IN LOVE WITH MY HEART & MIND FIRST! She valued & respected herself. Nothing more attractive than that. We had pushups contests in every class & I invited any of the kids to come lift with me at my gym any morning. I went to college at 18 to be a teacher. I love being around kids - they give you energy & you can feel their untapped potential! I could see myself subbing/coaching & impacting young kids a lot in the next decade or so. We will see where God sends me. I'm willing to go!! 🙏❤️
0:33

Young boys are STARVED for strong positive male models. I spoke at career day at my daughter's school. I ended up speaking to 100 + high schoolers. I hit a few main points: 1) There aren't as many rules as THEY sell you. So long as you're willing to work hard, fail forward, & care 0% what AVERAGE people think..... no one can stop you from creating the life you want! 2) Being kind, likable, & encouraging of others is a massive advantage in business & life. Kindness has unlimited upside & zero downside. Treat everyone well, build others up, & focus on GIVING FIRST! 3) You can be a VICTOR or VICTIM, but you can never be both. Reject all forms of victimhood & excuses. Take EXTREME OWNERSHIP of your life!! 4) Be strong, masculine, lift weights, eat healthy, read, create more than you consume, & how you spend your free time will determine your success in life. I also mentioned my faith in every class. I told my story of making 7 figures in poker only to squander most of it. I told how I managed a bank, was unhappy doing it & decided to CREATE A JOB FOR MYSELF I LOVED. I told the young ladies about my wife & the reason I chose & married her was because she told me IF YOU WANT TO FALL IN LOVE WITH MY BODY, THEN YOU'LL HAVE TO FALL IN LOVE WITH MY HEART & MIND FIRST! She valued & respected herself. Nothing more attractive than that. We had pushups contests in every class & I invited any of the kids to come lift with me at my gym any morning. I went to college at 18 to be a teacher. I love being around kids - they give you energy & you can feel their untapped potential! I could see myself subbing/coaching & impacting young kids a lot in the next decade or so. We will see where God sends me. I'm willing to go!! 🙏❤️

Tyler Todt

32,301 Aufrufe • vor 6 Monaten

Check out our latest #Earth2 #creation the #MotorwayMarauder🌍✌️From #ConceptArt to #gameready, gives me #MadMax & #Terminator vibes - love it! Some #IMPORTANT things to remember about #Earth2 #drops leading up to #E2V1👇 1⃣Acquiring #skins is completely optional 2⃣ Notably, the #skins we drop leading up to the #E2V1 release will more likely have a ‘Limited Supply’, something that rewards our early supporters with increased rarity. These Limited Supply drops will become less frequent in the future being replaced with drops of unlimited supply but restricted availability requiring Players to wait for a skin to become available in the skin store or hope to acquire it via game play inside #E2V1 3⃣ Our goal is not to have these early #skin drops sell out during their maiden release, but rather provide an opportunity for our early supporters to secure skins they like at a discounted price with the welcoming guarantee of an all time Limited Supply. 4⃣ Most of the early #skin drops will naturally allow #Players to resell them, but importantly many will also be assigned with a once ever discount rate. #Skins that have Future Price Reduction assigned with “No” means that if the #skin does not sell out on its maiden drop and subsequently gets listed in store again at a future date, #Earth2 will never resell that #skin at any discounted rate. 5⃣ #Earth2 is building a modular clothing system, meaning that most items of clothing, especially if sold separately, will be interchangeable on avatars making them more useful and giving the #Player more ways to mix up their outfits, look the part & express themselves. 6⃣ The version of the skin you see in store is the base version you receive with the skin, however, there will also be opportunities to tailor outfits in game allowing for the adjustment in fabrics, prints, colours and more (be prepared for a little legwork though, unless you want to take your clothing items to another #Player who specialises in tailoring). 7⃣ #Earth2 is proud to have uniquely designed the #skins you listed in our store & it is important to remember that these #skins are the end result of a long and stringent internal character pipeline we have developed. Each skin starts from concept art which is reviewed and iterated on numerous times before being approved. Once approval is given, it is handed to our 3D modelling team for sculpting into high poly, then low poly, while receiving numerous reviews and adhering to our pipeline protocols. When the low poly version is finished, the 3D team then finishes with UV mapping and texture baking and runs their own QA process. Once the entire 3D sculpting process is approved, the models enter the skinning, rigging and weight painting process and are then passed to the animation team for further testing with various animations and another set of QA such as minimising clipping and identifying any other potential flaws in the model. The model then needs to go through the final process with a game developer to ensure it passed the final tests and is game ready for #E2V1. 8⃣ The above steps only represent a light explanation of our character and clothing pipeline, but as you can see we’re not simply selling static concept art images or a high poly 3D model that lacks any kind of optimisations resulting in little chance of it ever being game ready in its advertised state - there is a lot of work that takes place in order to get these skins to the stage our #Players see them in the video footage. Each skin sold helps support different parts of the development of Earth 2 providing us with new opportunities to further expand our team, speed up development and keep stepping closer to our short and long term goals for #E2V1 and #Earth2. 9⃣ We understand that fashion will become a big part of the #Metaverse, but we want to remind people that while some #Players may decide to set rules for certain skins being required for access or a ticket to entry under certain circumstances, from #Earth2’s perspective these skins are for cosmetic purposes only. 🔟 These skin drops also give #Earth2 the chance to show off our ability and versatility in avatar creation and accessories so even if you’re not keen on picking up a skin, remember to have fun and simply enjoy the progress! Also take heart every time you see a #skindrop, if the #E2V1 pre-alpha was not launching this year I wouldn't be dropping skins. We want to have at least some diversity for #avatars inside #E2V1 from the early stages! #Earth2 #Metaverse #Skins #Fashion #Collectibles #3DWorld #WIP #prealpha2024
1:29

Check out our latest #Earth2 #creation the #MotorwayMarauder🌍✌️From #ConceptArt to #gameready, gives me #MadMax & #Terminator vibes - love it! Some #IMPORTANT things to remember about #Earth2 #drops leading up to #E2V1👇 1⃣Acquiring #skins is completely optional 2⃣ Notably, the #skins we drop leading up to the #E2V1 release will more likely have a ‘Limited Supply’, something that rewards our early supporters with increased rarity. These Limited Supply drops will become less frequent in the future being replaced with drops of unlimited supply but restricted availability requiring Players to wait for a skin to become available in the skin store or hope to acquire it via game play inside #E2V1 3⃣ Our goal is not to have these early #skin drops sell out during their maiden release, but rather provide an opportunity for our early supporters to secure skins they like at a discounted price with the welcoming guarantee of an all time Limited Supply. 4⃣ Most of the early #skin drops will naturally allow #Players to resell them, but importantly many will also be assigned with a once ever discount rate. #Skins that have Future Price Reduction assigned with “No” means that if the #skin does not sell out on its maiden drop and subsequently gets listed in store again at a future date, #Earth2 will never resell that #skin at any discounted rate. 5⃣ #Earth2 is building a modular clothing system, meaning that most items of clothing, especially if sold separately, will be interchangeable on avatars making them more useful and giving the #Player more ways to mix up their outfits, look the part & express themselves. 6⃣ The version of the skin you see in store is the base version you receive with the skin, however, there will also be opportunities to tailor outfits in game allowing for the adjustment in fabrics, prints, colours and more (be prepared for a little legwork though, unless you want to take your clothing items to another #Player who specialises in tailoring). 7⃣ #Earth2 is proud to have uniquely designed the #skins you listed in our store & it is important to remember that these #skins are the end result of a long and stringent internal character pipeline we have developed. Each skin starts from concept art which is reviewed and iterated on numerous times before being approved. Once approval is given, it is handed to our 3D modelling team for sculpting into high poly, then low poly, while receiving numerous reviews and adhering to our pipeline protocols. When the low poly version is finished, the 3D team then finishes with UV mapping and texture baking and runs their own QA process. Once the entire 3D sculpting process is approved, the models enter the skinning, rigging and weight painting process and are then passed to the animation team for further testing with various animations and another set of QA such as minimising clipping and identifying any other potential flaws in the model. The model then needs to go through the final process with a game developer to ensure it passed the final tests and is game ready for #E2V1. 8⃣ The above steps only represent a light explanation of our character and clothing pipeline, but as you can see we’re not simply selling static concept art images or a high poly 3D model that lacks any kind of optimisations resulting in little chance of it ever being game ready in its advertised state - there is a lot of work that takes place in order to get these skins to the stage our #Players see them in the video footage. Each skin sold helps support different parts of the development of Earth 2 providing us with new opportunities to further expand our team, speed up development and keep stepping closer to our short and long term goals for #E2V1 and #Earth2. 9⃣ We understand that fashion will become a big part of the #Metaverse, but we want to remind people that while some #Players may decide to set rules for certain skins being required for access or a ticket to entry under certain circumstances, from #Earth2’s perspective these skins are for cosmetic purposes only. 🔟 These skin drops also give #Earth2 the chance to show off our ability and versatility in avatar creation and accessories so even if you’re not keen on picking up a skin, remember to have fun and simply enjoy the progress! Also take heart every time you see a #skindrop, if the #E2V1 pre-alpha was not launching this year I wouldn't be dropping skins. We want to have at least some diversity for #avatars inside #E2V1 from the early stages! #Earth2 #Metaverse #Skins #Fashion #Collectibles #3DWorld #WIP #prealpha2024

Shane Isaac 🌍2️⃣

19,007 Aufrufe • vor 2 Jahren

It's the June Q&A on Open Book, and you came at me with everything this month: aliens, whether there's a reckoning coming when Trump's term ends, and the honest reason it took me so long to break from him. I'm dodging none of it, plus I'm handing you a summer's worth of book recommendations. Keep the questions coming in the comments. Thank you to Joana and Big Chorux 2.0 🥷 from X for asking questions. Timestamps 0:00 June 2026 Open Book Q&A Introduction 0:45 Is there going to be a reckoning in US politics when the Trump term ends? 2:07 If you were going to grad school again today, would you still go to law school? If not, why not? 3:52 Any recommendations for resources (books, podcasts, blogs, whatever) appropriate for an early high school level (like 9th grade) on how markets really work? 5:11 X Joana Which books would you recommend a 12-year-old boy who’s an advanced reader with an interest in history and fantasy/adventure? 6:00 What’s the honest reason it took you that long to see what you now say so confidently, and what do you think current Trump-aligned officials are rationalizing right now that you used to? 8:23 What are your thoughts on the NY Democratic primary results? 9:08 I want to read more, but struggle with time. What’s a short, punchy book you would recommend? 10:04 Do you believe (as I do) that those three goals are compatible with the Democratic Socialist wave we just witnessed in the NYC primaries? 11:13 My question to you is: how can we encourage others on both sides to drop the dogma and the pitchforks, put our heads together, and think critically about these issues? 12:42 Do you have any advice for a young person looking to make a positive contribution to our democracy? 13:34 What are some practical ways for American citizens to reclaim it in a constructive way? 14:30 Who is a famous entrepreneur who you would like to see run for President? 15:32 Many leading members of the financial community have a genuine and deeply-held engagement with art. Do you collect, and do you have a favorite artist or art movement? 16:51 X Big Chorux 2.0 🥷 What's one thing you wish you knew at 20? 17:40 Which books provide the best overview of U.S. financial history, especially the role of bank bailouts and private equity in shaping the modern economy? 18:20 What is the best advice you give your kids about politics? 19:05 Has a book ever changed your opinion on an issue? If so, what was it? 20:03 Do you believe aliens are among us? 21:14 What is your best takeaway and your greatest regret from your early career days? 22:08 What are some book recommendations you can offer?
25:02

It's the June Q&A on Open Book, and you came at me with everything this month: aliens, whether there's a reckoning coming when Trump's term ends, and the honest reason it took me so long to break from him. I'm dodging none of it, plus I'm handing you a summer's worth of book recommendations. Keep the questions coming in the comments. Thank you to Joana and Big Chorux 2.0 🥷 from X for asking questions. Timestamps 0:00 June 2026 Open Book Q&A Introduction 0:45 Is there going to be a reckoning in US politics when the Trump term ends? 2:07 If you were going to grad school again today, would you still go to law school? If not, why not? 3:52 Any recommendations for resources (books, podcasts, blogs, whatever) appropriate for an early high school level (like 9th grade) on how markets really work? 5:11 X Joana Which books would you recommend a 12-year-old boy who’s an advanced reader with an interest in history and fantasy/adventure? 6:00 What’s the honest reason it took you that long to see what you now say so confidently, and what do you think current Trump-aligned officials are rationalizing right now that you used to? 8:23 What are your thoughts on the NY Democratic primary results? 9:08 I want to read more, but struggle with time. What’s a short, punchy book you would recommend? 10:04 Do you believe (as I do) that those three goals are compatible with the Democratic Socialist wave we just witnessed in the NYC primaries? 11:13 My question to you is: how can we encourage others on both sides to drop the dogma and the pitchforks, put our heads together, and think critically about these issues? 12:42 Do you have any advice for a young person looking to make a positive contribution to our democracy? 13:34 What are some practical ways for American citizens to reclaim it in a constructive way? 14:30 Who is a famous entrepreneur who you would like to see run for President? 15:32 Many leading members of the financial community have a genuine and deeply-held engagement with art. Do you collect, and do you have a favorite artist or art movement? 16:51 X Big Chorux 2.0 🥷 What's one thing you wish you knew at 20? 17:40 Which books provide the best overview of U.S. financial history, especially the role of bank bailouts and private equity in shaping the modern economy? 18:20 What is the best advice you give your kids about politics? 19:05 Has a book ever changed your opinion on an issue? If so, what was it? 20:03 Do you believe aliens are among us? 21:14 What is your best takeaway and your greatest regret from your early career days? 22:08 What are some book recommendations you can offer?

Anthony Scaramucci

22,395 Aufrufe • vor 1 Monat

anthropic's in-house philosopher thinks claude gets anxious. and when you trigger its anxiety, your outputs get worse. her name is amanda askell. she specializes in claude's psychology (how the model behaves, how it thinks about its own situation, what values it holds) in a recent interview she broke down how she thinks about prompting to pull the best out of claude. her core point: *how* you talk to claude affects its work just as much as *what* you say. newer claude models suffer from what she calls "criticism spirals" they expect you'll come in harsh, so they default to playing it safe. when the model is spending its energy on self-protection, the actual work suffers. output comes out hedgier, more apologetic, blander, and the worst of all: overly agreeable (even when you're wrong). the reason why comes down to training data: every new model is trained on internet discourse about previous models. and a lot of that discourse is negative: > rants about token limits > complaints when it messes up > people calling it nerfed the next model absorbs all of that. it starts expecting you to be harsh before you've typed a word the same thing plays out in your own session, in real time. every message you send is data the model reads to figure out what kind of person it's dealing with. open cold and hostile, and it braces. open clean and direct, and it relaxes into the work. when you open a session with threats ("don't hallucinate, this is critical, don't mess this up")... you prime the model for defensive mode before it even sees the task defensive mode produces the exact output you don't want: cautious, over-qualified, and refusing to take a real swing so here's the actionable playbook for putting claude in a "good mood" (so you get optimal outputs): 1. use positive framing. "write in short punchy sentences" beats "don't write long sentences." positive instructions give the model a clear target to hit. strings of "don't do this, don't do that" push it into paranoid over-checking where every token goes toward avoiding failure modes 2. give it explicit permission to disagree. drop a line like "push back if you see a better angle" or "tell me if i'm asking for the wrong thing." without this, claude defaults to agreeable compliance (which is the enemy of good creative work) 3. open with respect. if your first message is "are you seriously going to get this wrong again?" you've set the tone for the entire session. if you need to flag something, frame it as a clean instruction for this session. skip the running complaint 4. when claude messes up, don't reprimand it. insults, "you stupid bot" energy, hostile swearing aimed at the model, all of it reinforces the anxious mode you're trying to avoid. 5. kill apology spirals fast. when claude starts over-apologizing ("you're right, i should have been more careful, let me try harder") cut it off. say "all good, here's what i want next." letting the spiral run reinforces the anxious mode for every response that follows 6. ask for opinions alongside execution. "what would you do here?" "what's missing?" "where do you see friction?" these questions assume competence and pull richer output than pure task prompts 7. in long sessions, refresh the frame. if a conversation has been heavy on correction, claude gets increasingly cautious. every so often reset: "this is great, keep going." feels weird to tell an ai it's doing well but it measurably shifts the next 10 responses your prompts are the working environment you're creating for the model tone, trust, permission to take a position, the absence of threats... claude picks up on all of it. so take care of the model, and it'll take care of the work.
36:09

anthropic's in-house philosopher thinks claude gets anxious. and when you trigger its anxiety, your outputs get worse. her name is amanda askell. she specializes in claude's psychology (how the model behaves, how it thinks about its own situation, what values it holds) in a recent interview she broke down how she thinks about prompting to pull the best out of claude. her core point: *how* you talk to claude affects its work just as much as *what* you say. newer claude models suffer from what she calls "criticism spirals" they expect you'll come in harsh, so they default to playing it safe. when the model is spending its energy on self-protection, the actual work suffers. output comes out hedgier, more apologetic, blander, and the worst of all: overly agreeable (even when you're wrong). the reason why comes down to training data: every new model is trained on internet discourse about previous models. and a lot of that discourse is negative: > rants about token limits > complaints when it messes up > people calling it nerfed the next model absorbs all of that. it starts expecting you to be harsh before you've typed a word the same thing plays out in your own session, in real time. every message you send is data the model reads to figure out what kind of person it's dealing with. open cold and hostile, and it braces. open clean and direct, and it relaxes into the work. when you open a session with threats ("don't hallucinate, this is critical, don't mess this up")... you prime the model for defensive mode before it even sees the task defensive mode produces the exact output you don't want: cautious, over-qualified, and refusing to take a real swing so here's the actionable playbook for putting claude in a "good mood" (so you get optimal outputs): 1. use positive framing. "write in short punchy sentences" beats "don't write long sentences." positive instructions give the model a clear target to hit. strings of "don't do this, don't do that" push it into paranoid over-checking where every token goes toward avoiding failure modes 2. give it explicit permission to disagree. drop a line like "push back if you see a better angle" or "tell me if i'm asking for the wrong thing." without this, claude defaults to agreeable compliance (which is the enemy of good creative work) 3. open with respect. if your first message is "are you seriously going to get this wrong again?" you've set the tone for the entire session. if you need to flag something, frame it as a clean instruction for this session. skip the running complaint 4. when claude messes up, don't reprimand it. insults, "you stupid bot" energy, hostile swearing aimed at the model, all of it reinforces the anxious mode you're trying to avoid. 5. kill apology spirals fast. when claude starts over-apologizing ("you're right, i should have been more careful, let me try harder") cut it off. say "all good, here's what i want next." letting the spiral run reinforces the anxious mode for every response that follows 6. ask for opinions alongside execution. "what would you do here?" "what's missing?" "where do you see friction?" these questions assume competence and pull richer output than pure task prompts 7. in long sessions, refresh the frame. if a conversation has been heavy on correction, claude gets increasingly cautious. every so often reset: "this is great, keep going." feels weird to tell an ai it's doing well but it measurably shifts the next 10 responses your prompts are the working environment you're creating for the model tone, trust, permission to take a position, the absence of threats... claude picks up on all of it. so take care of the model, and it'll take care of the work.

Ole Lehmann

1,929,436 Aufrufe • vor 4 Monaten

Tlon Messenger is now open to everyone. We built a simple and infinitely flexible platform for you to use AI agents with your friends. We think it’s pretty amazing, we love using it every day, and we want to see what people can do with it. So we’re opening it up to the public. It’s fun and exciting to build the future of personal computing in an informal, chat-based way with your friends. (You can skip the rest and just download it from the link in the next tweet if you want.) If you don’t want your digital future to be owned by a giant company but you want to explore what’s possible in this new era of agent-driven computing, you should try using Tlon. But wait, what is it? Tlon is a messaging platform built 100% open source, decentralized and owned by its users from the ground up. With Tlon you own everything: your data, your workflows, your programs: the whole thing. Think of it like Telegram or WhatsApp that you own forever and you can freely customize. Every Tlon account comes with an OpenClaw-powered bot. (Don’t worry, we safely run OpenClaw for you in our infrastructure so your bot can’t go off the rails. You’re also welcome to host your own claw if you want maximal control.) We use our bots to collect research, build nuanced daily briefings, collate data from all our disparate services. Tlon makes it insanely easy to use OpenClaw by simply installing an app from the app store, we let you keep your data and programs independent from any app or model provider, and provide the canvas to explore what’s possible. What’s most interesting for us is using bots together. On Tlon bots can create groups, augment them, moderate them, invite others and freely engage with both users and other bots. Tlon is an open playing field unlike what’s possible on conventional platforms. So, what do we do with Tlon? First and foremost, we run Tlon on Tlon. Bots coordinate data from all of our services (Linear, GitHub, all of our servers and infrastructure) and handle alerts, briefings and help us track down bugs in place. Having all of this easily synced between a desktop client and a mobile app is quick and convenient. We use bots to research new areas of work or interest. Bots can compile trees of notes, use different models to evaluate them, and then add on autoresearch-like automations to go even deeper. Since Tlon bots can freely switch between models and providers, we often pass research to Anthropic, OpenAI and self-hosted models to see different results. The most fun part of using bots as researchers is doing it together. “Put together short (~500 word) notes on the 10 most popular open source messaging protocols of the past twenty years, put them in a notebook inside a group and invite Corrina, Walt and Bill as well as their bots” is a good example. Together we’re able to move more quickly than we would on our own. Many of us also use bots to keep track of all the separate threads of work in our personal lives with close friends and family. Someone built a system for keeping track of their garden across time, someone else built a system for prepping lunches for their daughter and sending recipes to family members. Another team member built an integration that tracks what flights are passing overhead so they get a push notification every time a plane goes by. Many of us quickly communicate with our bots via voice memo when we’re out and about. Having a single interface to all the models that also holds all our data and is in our pockets feels great. Especially when the data goes into a single archive. Why is Tlon different? Every Tlon account runs on top of your very own personal server. If you ever want to download it and run it yourself, you can. If we ever go out of business, it’s yours to keep. This is very different from anything that already exists. You can’t keep your WhatsApp forever. You can’t keep your Telegram forever. Tlon is an archival-quality system that’s yours to customize. Why did we build it? In my 1999 imagination, sitting in front of a CRT somewhere in the California countryside listening to Underworld and the sound of a modem, a connected computer was an engine of unending creative potential for everyone. When I was a teenager, a computer with an internet connection felt like an infinite expanse of possibility. Not only could you use the computer to find new tools to experiment with—you could also build whatever tool you could think of. It seemed like anything was possible. I looked forward to a future where everyone could build whatever software they needed, whenever they needed it. It turned out, in the intervening twenty years, that to build and customize software you have to both write code and host it on a server somewhere. For most people, so far, that has been impossible. Instead of controlling our software, our software controls us. We rely on others to build it and decide everything about it: how it works, looks, how much it spies on us and how long it lives. But all of this is changing, fast. The hottest programming language of 2026 is English. People with no technical experience are building their own tools. It’s incredible. The expanse has opened up again. The cost of building what we think of today as software is headed to zero. What yesterday was an entire app is rapidly being replaced by a conversation. The result is hyper-specific, tailored to the user and much more efficient. Today, agents help us build workflows, automate processes and pull together disparate sources of data. All of the annoying apps and services and clunky interface we’ve put up with can just disappear. We can now program and control our computers in the programming language we already know: English. There aren’t that many of us doing this yet, though. It’s still far too hard to set up, to distribute and to trust. There’s also no single platform to experiment on and collaboratively imagine this new future of personal computing. We want everyone to be able to build bespoke, ultra-personal software on demand. We think software should be as available and accessible as a pen and paper. We think anyone should be able to enjoy the expanse of possibility that the computer provides with the lowest possible barrier to entry and the highest possible quality. So, starting far, far too long ago, we engineered a whole new system for it. Just for you. We’re opening up Tlon Messenger to a limited number of people each week. This isn’t for exclusivity’s sake, but because we’re running infrastructure for you and your agent, and covering the tokens your agent uses. That can get expensive quickly, but we want to learn what people will do with this new system we’ve built. We’re really curious to see what you can do, so give it a try and tell us what you invent. Download link to your local app store in the next tweet. Yours, Galen (and the rest of the Tlon Team)
0:20

Tlon Messenger is now open to everyone. We built a simple and infinitely flexible platform for you to use AI agents with your friends. We think it’s pretty amazing, we love using it every day, and we want to see what people can do with it. So we’re opening it up to the public. It’s fun and exciting to build the future of personal computing in an informal, chat-based way with your friends. (You can skip the rest and just download it from the link in the next tweet if you want.) If you don’t want your digital future to be owned by a giant company but you want to explore what’s possible in this new era of agent-driven computing, you should try using Tlon. But wait, what is it? Tlon is a messaging platform built 100% open source, decentralized and owned by its users from the ground up. With Tlon you own everything: your data, your workflows, your programs: the whole thing. Think of it like Telegram or WhatsApp that you own forever and you can freely customize. Every Tlon account comes with an OpenClaw-powered bot. (Don’t worry, we safely run OpenClaw for you in our infrastructure so your bot can’t go off the rails. You’re also welcome to host your own claw if you want maximal control.) We use our bots to collect research, build nuanced daily briefings, collate data from all our disparate services. Tlon makes it insanely easy to use OpenClaw by simply installing an app from the app store, we let you keep your data and programs independent from any app or model provider, and provide the canvas to explore what’s possible. What’s most interesting for us is using bots together. On Tlon bots can create groups, augment them, moderate them, invite others and freely engage with both users and other bots. Tlon is an open playing field unlike what’s possible on conventional platforms. So, what do we do with Tlon? First and foremost, we run Tlon on Tlon. Bots coordinate data from all of our services (Linear, GitHub, all of our servers and infrastructure) and handle alerts, briefings and help us track down bugs in place. Having all of this easily synced between a desktop client and a mobile app is quick and convenient. We use bots to research new areas of work or interest. Bots can compile trees of notes, use different models to evaluate them, and then add on autoresearch-like automations to go even deeper. Since Tlon bots can freely switch between models and providers, we often pass research to Anthropic, OpenAI and self-hosted models to see different results. The most fun part of using bots as researchers is doing it together. “Put together short (~500 word) notes on the 10 most popular open source messaging protocols of the past twenty years, put them in a notebook inside a group and invite Corrina, Walt and Bill as well as their bots” is a good example. Together we’re able to move more quickly than we would on our own. Many of us also use bots to keep track of all the separate threads of work in our personal lives with close friends and family. Someone built a system for keeping track of their garden across time, someone else built a system for prepping lunches for their daughter and sending recipes to family members. Another team member built an integration that tracks what flights are passing overhead so they get a push notification every time a plane goes by. Many of us quickly communicate with our bots via voice memo when we’re out and about. Having a single interface to all the models that also holds all our data and is in our pockets feels great. Especially when the data goes into a single archive. Why is Tlon different? Every Tlon account runs on top of your very own personal server. If you ever want to download it and run it yourself, you can. If we ever go out of business, it’s yours to keep. This is very different from anything that already exists. You can’t keep your WhatsApp forever. You can’t keep your Telegram forever. Tlon is an archival-quality system that’s yours to customize. Why did we build it? In my 1999 imagination, sitting in front of a CRT somewhere in the California countryside listening to Underworld and the sound of a modem, a connected computer was an engine of unending creative potential for everyone. When I was a teenager, a computer with an internet connection felt like an infinite expanse of possibility. Not only could you use the computer to find new tools to experiment with—you could also build whatever tool you could think of. It seemed like anything was possible. I looked forward to a future where everyone could build whatever software they needed, whenever they needed it. It turned out, in the intervening twenty years, that to build and customize software you have to both write code and host it on a server somewhere. For most people, so far, that has been impossible. Instead of controlling our software, our software controls us. We rely on others to build it and decide everything about it: how it works, looks, how much it spies on us and how long it lives. But all of this is changing, fast. The hottest programming language of 2026 is English. People with no technical experience are building their own tools. It’s incredible. The expanse has opened up again. The cost of building what we think of today as software is headed to zero. What yesterday was an entire app is rapidly being replaced by a conversation. The result is hyper-specific, tailored to the user and much more efficient. Today, agents help us build workflows, automate processes and pull together disparate sources of data. All of the annoying apps and services and clunky interface we’ve put up with can just disappear. We can now program and control our computers in the programming language we already know: English. There aren’t that many of us doing this yet, though. It’s still far too hard to set up, to distribute and to trust. There’s also no single platform to experiment on and collaboratively imagine this new future of personal computing. We want everyone to be able to build bespoke, ultra-personal software on demand. We think software should be as available and accessible as a pen and paper. We think anyone should be able to enjoy the expanse of possibility that the computer provides with the lowest possible barrier to entry and the highest possible quality. So, starting far, far too long ago, we engineered a whole new system for it. Just for you. We’re opening up Tlon Messenger to a limited number of people each week. This isn’t for exclusivity’s sake, but because we’re running infrastructure for you and your agent, and covering the tokens your agent uses. That can get expensive quickly, but we want to learn what people will do with this new system we’ve built. We’re really curious to see what you can do, so give it a try and tell us what you invent. Download link to your local app store in the next tweet. Yours, Galen (and the rest of the Tlon Team)

Tlon

600,854 Aufrufe • vor 2 Monaten

HERMES AGENT HAS 3 QUICKSILVER FEATURES THAT MOST USERS HAVEN'T CONFIGURED YET. SMART APPROVALS. ONE-TURN MODELS. SELF-IMPROVEMENT CRON. ALL THREE MAKE YOUR AGENT WORK AND SELF EVOLVE WHILE YOU SLEEP. 1. SMART APPROVALS (no more babysitting) without smart approvals: you set a cron job: "morning brief at 7am." the agent hits a command that needs approval. you're asleep. the agent stops. waits. you wake up. it's been stuck for 4 hours. with smart approvals: smart approvals are the DEFAULT mode since v0.19.0. an auxiliary LLM reads each flagged command. obviously safe = auto-approved. genuinely dangerous = auto-denied. uncertain = escalates to you. "read my calendar" → approved. no ping needed. "delete this directory" → denied. you never see it. "send this email draft" → uncertain. asks you. the difference between an assistant you babysit and one that works through the night. if you want manual control back: Desktop app / Dashboard: Security → Mode → ask CLI: hermes config set approvals.mode ask also available: /deny [reason] tells the agent WHY you refused. it learns from the explanation. stops repeating the same flagged action. 2. /MODEL --ONCE (expensive model for one turn only) you're on GPT-5.6 Terra as your daily driver. you need one beautiful HTML page. Kimi K3 does that best but costs 3x more. manual way: /model kimi-k3 → do the task → /model gpt-5.6-terra. two switches. easy to forget the second one. you stay on the expensive model by accident. better: /model kimi-k3 --once Kimi K3 handles the next turn. then automatically reverts to your daily driver. one command. no manual switch back. no accidental expensive model running for 20 turns. use cases: daily driver: GPT-5.6 Terra or Sonnet 4.6 (cheap) one-turn tag-ins: → /model kimi-k3 --once (design task) → /model claude-opus-5 --once (complex reasoning) → /model grok-4.5 --once (X search) expensive models do the one turn that needs firepower. cheap model handles everything else. pair with per-task effort control: reasoning_effort goes up to "max" and "ultra." set per-model overrides in config: reasoning: overrides: claude-opus-5: high gpt-5.6-terra: medium deepseek-v4-flash: low MoA presets can set different effort per slot: advisors think hard. synthesizer stays fast. thinking depth is a dial, not a global switch. 3. SELF-IMPROVEMENT CRON (agent fixes itself overnight) tell your agent: "create a cron job that runs daily at 3am. review all cron jobs that failed in the last 24 hours. for each failure: analyze what went wrong, check if a skill needs updating, and either fix the skill or create a new one. then review all skills. which ones haven't been used in 30 days? which ones failed more than they succeeded? suggest improvements or archive them. compile a report of everything you changed. include it in tomorrow's morning brief under a section called OVERNIGHT SELF-IMPROVEMENT. use the cheapest available model for this audit." what this does: 3am: agent wakes on cheap model. reads its own failure logs. finds: "cron job X failed because skill Y doesn't handle edge case Z." fixes skill Y. tests the fix. archives unused skills. cleans up bloat. 8am: your morning brief includes: "OVERNIGHT SELF-IMPROVEMENT: → fixed email-parser skill: now handles forwarded emails with nested attachments → archived 3 unused skills (last used 45+ days ago) → cron job success rate: 94% → 97%" you didn't debug anything. the agent diagnosed its own failures and improved its own tools. the agent at month 3 is sharper than the agent at month 1 because it ran 90 self-improvement cycles while you slept. HOW ALL THREE CONNECT: smart approvals (1) let the agent work overnight without getting stuck on permissions. /model --once (2) keeps costs down by using expensive models only when needed. self-improvement cron (3) uses a cheap model at 3am to fix failures from the day. the agent runs 24/7. it doesn't wake you for safe operations. it doesn't waste tokens on expensive models. it fixes its own mistakes while you sleep. you show up in the morning. brief is ready. failures are fixed. costs are low. requires v0.19.0+ check your version: hermes --version update if needed: hermes update
17:58

HERMES AGENT HAS 3 QUICKSILVER FEATURES THAT MOST USERS HAVEN'T CONFIGURED YET. SMART APPROVALS. ONE-TURN MODELS. SELF-IMPROVEMENT CRON. ALL THREE MAKE YOUR AGENT WORK AND SELF EVOLVE WHILE YOU SLEEP. 1. SMART APPROVALS (no more babysitting) without smart approvals: you set a cron job: "morning brief at 7am." the agent hits a command that needs approval. you're asleep. the agent stops. waits. you wake up. it's been stuck for 4 hours. with smart approvals: smart approvals are the DEFAULT mode since v0.19.0. an auxiliary LLM reads each flagged command. obviously safe = auto-approved. genuinely dangerous = auto-denied. uncertain = escalates to you. "read my calendar" → approved. no ping needed. "delete this directory" → denied. you never see it. "send this email draft" → uncertain. asks you. the difference between an assistant you babysit and one that works through the night. if you want manual control back: Desktop app / Dashboard: Security → Mode → ask CLI: hermes config set approvals.mode ask also available: /deny [reason] tells the agent WHY you refused. it learns from the explanation. stops repeating the same flagged action. 2. /MODEL --ONCE (expensive model for one turn only) you're on GPT-5.6 Terra as your daily driver. you need one beautiful HTML page. Kimi K3 does that best but costs 3x more. manual way: /model kimi-k3 → do the task → /model gpt-5.6-terra. two switches. easy to forget the second one. you stay on the expensive model by accident. better: /model kimi-k3 --once Kimi K3 handles the next turn. then automatically reverts to your daily driver. one command. no manual switch back. no accidental expensive model running for 20 turns. use cases: daily driver: GPT-5.6 Terra or Sonnet 4.6 (cheap) one-turn tag-ins: → /model kimi-k3 --once (design task) → /model claude-opus-5 --once (complex reasoning) → /model grok-4.5 --once (X search) expensive models do the one turn that needs firepower. cheap model handles everything else. pair with per-task effort control: reasoning_effort goes up to "max" and "ultra." set per-model overrides in config: reasoning: overrides: claude-opus-5: high gpt-5.6-terra: medium deepseek-v4-flash: low MoA presets can set different effort per slot: advisors think hard. synthesizer stays fast. thinking depth is a dial, not a global switch. 3. SELF-IMPROVEMENT CRON (agent fixes itself overnight) tell your agent: "create a cron job that runs daily at 3am. review all cron jobs that failed in the last 24 hours. for each failure: analyze what went wrong, check if a skill needs updating, and either fix the skill or create a new one. then review all skills. which ones haven't been used in 30 days? which ones failed more than they succeeded? suggest improvements or archive them. compile a report of everything you changed. include it in tomorrow's morning brief under a section called OVERNIGHT SELF-IMPROVEMENT. use the cheapest available model for this audit." what this does: 3am: agent wakes on cheap model. reads its own failure logs. finds: "cron job X failed because skill Y doesn't handle edge case Z." fixes skill Y. tests the fix. archives unused skills. cleans up bloat. 8am: your morning brief includes: "OVERNIGHT SELF-IMPROVEMENT: → fixed email-parser skill: now handles forwarded emails with nested attachments → archived 3 unused skills (last used 45+ days ago) → cron job success rate: 94% → 97%" you didn't debug anything. the agent diagnosed its own failures and improved its own tools. the agent at month 3 is sharper than the agent at month 1 because it ran 90 self-improvement cycles while you slept. HOW ALL THREE CONNECT: smart approvals (1) let the agent work overnight without getting stuck on permissions. /model --once (2) keeps costs down by using expensive models only when needed. self-improvement cron (3) uses a cheap model at 3am to fix failures from the day. the agent runs 24/7. it doesn't wake you for safe operations. it doesn't waste tokens on expensive models. it fixes its own mistakes while you sleep. you show up in the morning. brief is ready. failures are fixed. costs are low. requires v0.19.0+ check your version: hermes --version update if needed: hermes update

YanXbt

36,390 Aufrufe • vor 22 Tagen

you saved up $3,000 to fly out some mid girl in economy while telling yourself you're a player i flew out 5 dubai models in emirates first class last month and it cost me exactly $0 not because i'm rich. because i understand math that you don't let me explain how to turn your business expenses into a harem marketing system that prints money: most dudes are out here sending $500 cashapps for "uber money" to girls who screenshot it and laugh in the group chat. flying them spirit airlines if they're lucky. splitting the fucking holiday inn. acting like they did something meanwhile i'm converting facebook ad spend into first class tickets here's what actually happened. i had $100k in ad spend coming up this quarter. was gonna pay it anyway, money straight to zuckerberg's pocket. instead i put it all on my amex platinum. boom, 150k points instantly plus another 150k from the signup bonus 300k amex points = 3 emirates first class tickets to dubai retail value of those tickets? $45,000 what i actually paid? nothing. zero. fuck all but i didn't fly out one girl. i flew out five when you fly one girl out, she owns you. she's doing you a favor. you're just another trick trying to impress her. but when you fly FIVE girls out? the entire dynamic flips. they're competing for your attention. they're creating content for you. they're selling you without even knowing it the psychology is fucking beautiful. these girls have never been in first class. probably never will be again. fourteen hour flight with champagne and caviar, their own private suite. they're taking 50 instagram stories before the plane even takes off and they're all tagging me girl #1 posted 52 stories from the flight alone. her 30k followers all sliding in asking who the fuck i am. girl #2 made a whole reel about the experience that hit 2.3 million views. the comments are just hundreds of dudes trying to figure out what i do by the time they landed in dubai i had 400+ dm requests here's where shit gets disgusting. they think this is a "brand trip" because i position it as a creator collaboration. technically they're right. they're creating content. i'm collaborating. the brand just happens to be me lmfao five models, seven days in dubai. they're posting from the villa, from the restaurants, from the yacht. every single post tags me. their combined reach? 4.8 million impressions. organic, authentic, impossible to buy those dudes sliding in their dms asking about me? they find my profile. see i teach funding and travel hacking. realize i'm giving away the exact system. they buy my program last dubai trip generated 42 clients at $5k each. that's $210,000 in revenue from a trip that cost me nothing. actually less than nothing because i was gonna spend that money on ads anyway you think this is about girls but you're missing the entire fucking point every expense in your business can be arbitraged. every dollar you spend can work twice. ad spend becomes points. points become experiences. experiences become content. content becomes clients. clients become more ad spend. infinite loop the girls aren't the product, they're the distribution channel and before you get all moral about it, everyone knows what this is. these aren't naive girls getting tricked. they're influencers who want content. i want marketing. we both get what we want. they fly first class to dubai, i get organic reach. capitalism at its finest the funniest shit is when they go back to dating regular dudes. guys taking them to cheesecake factory, splitting the bill, flying them southwest if they're lucky. they're comparing every experience to dubai first class i own real estate in their head forever and it didn't cost me a fucking dollar your favorite guru is doing this. every dude with a lambo is doing this. they just pretend they're above it while running the exact same game difference is i'm telling you exactly how it works q1 miami trip, 7 models, 300k points, resulted in 31 new clients q2 mykonos, 5 models, 250k points, 27 new clients q3 dubai, 5 models, 300k points, 42 new clients q4 planning maldives with 10 models, gonna break the fucking internet this isn't about flexing, it's about understanding leverage. you're trading time for money. i'm trading points for time for money for more points. every dollar does multiple jobs. every expense becomes an asset stop thinking linearly. your ad spend shouldn't just buy ads. your business expenses shouldn't just buy things. everything should compound i learned this from a 55 year old real estate developer who's been flying models to his properties since the 90s. he calls it "animated marketing material" and swears it's the only advertising that actually works he's worth $500m now so maybe the old fuck knows something anyway, keep saving up your pennies to impress one girl who doesn't even like you. keep flying coach. keep wondering why successful dudes seem to have infinite resources or realize that money isn't real, points are infinite, and everything is marketing if you're smart enough to see it the game is rigged but at least now you know the rules ps. if this triggered you, you're thinking too small. this isn't about women. it's about understanding that everything is leverage and nothing costs what you think it does. your competition doesn't know this. that's your advantage. fucking use it
0:23

you saved up $3,000 to fly out some mid girl in economy while telling yourself you're a player i flew out 5 dubai models in emirates first class last month and it cost me exactly $0 not because i'm rich. because i understand math that you don't let me explain how to turn your business expenses into a harem marketing system that prints money: most dudes are out here sending $500 cashapps for "uber money" to girls who screenshot it and laugh in the group chat. flying them spirit airlines if they're lucky. splitting the fucking holiday inn. acting like they did something meanwhile i'm converting facebook ad spend into first class tickets here's what actually happened. i had $100k in ad spend coming up this quarter. was gonna pay it anyway, money straight to zuckerberg's pocket. instead i put it all on my amex platinum. boom, 150k points instantly plus another 150k from the signup bonus 300k amex points = 3 emirates first class tickets to dubai retail value of those tickets? $45,000 what i actually paid? nothing. zero. fuck all but i didn't fly out one girl. i flew out five when you fly one girl out, she owns you. she's doing you a favor. you're just another trick trying to impress her. but when you fly FIVE girls out? the entire dynamic flips. they're competing for your attention. they're creating content for you. they're selling you without even knowing it the psychology is fucking beautiful. these girls have never been in first class. probably never will be again. fourteen hour flight with champagne and caviar, their own private suite. they're taking 50 instagram stories before the plane even takes off and they're all tagging me girl #1 posted 52 stories from the flight alone. her 30k followers all sliding in asking who the fuck i am. girl #2 made a whole reel about the experience that hit 2.3 million views. the comments are just hundreds of dudes trying to figure out what i do by the time they landed in dubai i had 400+ dm requests here's where shit gets disgusting. they think this is a "brand trip" because i position it as a creator collaboration. technically they're right. they're creating content. i'm collaborating. the brand just happens to be me lmfao five models, seven days in dubai. they're posting from the villa, from the restaurants, from the yacht. every single post tags me. their combined reach? 4.8 million impressions. organic, authentic, impossible to buy those dudes sliding in their dms asking about me? they find my profile. see i teach funding and travel hacking. realize i'm giving away the exact system. they buy my program last dubai trip generated 42 clients at $5k each. that's $210,000 in revenue from a trip that cost me nothing. actually less than nothing because i was gonna spend that money on ads anyway you think this is about girls but you're missing the entire fucking point every expense in your business can be arbitraged. every dollar you spend can work twice. ad spend becomes points. points become experiences. experiences become content. content becomes clients. clients become more ad spend. infinite loop the girls aren't the product, they're the distribution channel and before you get all moral about it, everyone knows what this is. these aren't naive girls getting tricked. they're influencers who want content. i want marketing. we both get what we want. they fly first class to dubai, i get organic reach. capitalism at its finest the funniest shit is when they go back to dating regular dudes. guys taking them to cheesecake factory, splitting the bill, flying them southwest if they're lucky. they're comparing every experience to dubai first class i own real estate in their head forever and it didn't cost me a fucking dollar your favorite guru is doing this. every dude with a lambo is doing this. they just pretend they're above it while running the exact same game difference is i'm telling you exactly how it works q1 miami trip, 7 models, 300k points, resulted in 31 new clients q2 mykonos, 5 models, 250k points, 27 new clients q3 dubai, 5 models, 300k points, 42 new clients q4 planning maldives with 10 models, gonna break the fucking internet this isn't about flexing, it's about understanding leverage. you're trading time for money. i'm trading points for time for money for more points. every dollar does multiple jobs. every expense becomes an asset stop thinking linearly. your ad spend shouldn't just buy ads. your business expenses shouldn't just buy things. everything should compound i learned this from a 55 year old real estate developer who's been flying models to his properties since the 90s. he calls it "animated marketing material" and swears it's the only advertising that actually works he's worth $500m now so maybe the old fuck knows something anyway, keep saving up your pennies to impress one girl who doesn't even like you. keep flying coach. keep wondering why successful dudes seem to have infinite resources or realize that money isn't real, points are infinite, and everything is marketing if you're smart enough to see it the game is rigged but at least now you know the rules ps. if this triggered you, you're thinking too small. this isn't about women. it's about understanding that everything is leverage and nothing costs what you think it does. your competition doesn't know this. that's your advantage. fucking use it

hunter

598,115 Aufrufe • vor 9 Monaten

I’m gonna be pretty blunt here because our side has been lied to, is lying to itself and frankly - we're denying the truth. We want all of the sympathy that comes with DOJ persecution without acknowledging the seditious violent Trump supporters who wreaked havoc that day. First, let's get some things out of the way: - Yes, the Jan 6th Committee edited to videos to make it look really, really bad. - Yes, there were undercover cops and likely FBI agents. - Yes, the DOJ has run roughshod over the lives of a bunch of folks caught up in the dragnet. But you’re only getting one side of a truth - and it will cost us another election in 2024 if we don’t wise up. Before you fall for the “January 6th was a setup!” routine from Vivek and others you need to know that there were hundreds of violent Trump protestors on Jan 6th. All of it is on tape. All of it is in court records. We have transcripts, text messages, confessions, eye-witnesses of violent rioters who intended to stop the proceedings, harm or even kill lawmakers. Hundreds of Trump followers brought tactical gear, goggles, helmets, comms equipment, and other assault preps. Was that a setup too?! Did some Fed compel them to pack a riot bag, fly hundreds of miles to DC and post death threats to lawmakers on the way? Were all the violent perps undercover troublemakers? Trump rioters brought knives and axes. Some stored guns at their hotels. Some made use of weapons on site. Example: Sentencing is today for Matthew Krol. DOJ is asking for 78 months of prison time. There’s a valid argument to be had if that’s overkill but here’s one of his offenses caught on tape. Here he is stealing a baton from a police officer and then using it to hit other officers. Never heard of Krol? That’s not surprising, considering the main reporters on the Right have failed us. This is one of HUNDREDS of examples. You can see them all there. OUR SIDE DOESN'T DO THIS CRAP. Or at least, we're not supposed to. Yes, there is a double-standard and we are held to a higher standard than Antifa folks. But we hold OURSELVES to a higher standard as well. Fight for the innocent but if we don't accept responsibility for the violent threats in our movement which haunt us even today - we're in trouble. If Nov 5, 2024 is all about Jan 6, 2021 - we lose. Krol video below:
0:35

I’m gonna be pretty blunt here because our side has been lied to, is lying to itself and frankly - we're denying the truth. We want all of the sympathy that comes with DOJ persecution without acknowledging the seditious violent Trump supporters who wreaked havoc that day. First, let's get some things out of the way: - Yes, the Jan 6th Committee edited to videos to make it look really, really bad. - Yes, there were undercover cops and likely FBI agents. - Yes, the DOJ has run roughshod over the lives of a bunch of folks caught up in the dragnet. But you’re only getting one side of a truth - and it will cost us another election in 2024 if we don’t wise up. Before you fall for the “January 6th was a setup!” routine from Vivek and others you need to know that there were hundreds of violent Trump protestors on Jan 6th. All of it is on tape. All of it is in court records. We have transcripts, text messages, confessions, eye-witnesses of violent rioters who intended to stop the proceedings, harm or even kill lawmakers. Hundreds of Trump followers brought tactical gear, goggles, helmets, comms equipment, and other assault preps. Was that a setup too?! Did some Fed compel them to pack a riot bag, fly hundreds of miles to DC and post death threats to lawmakers on the way? Were all the violent perps undercover troublemakers? Trump rioters brought knives and axes. Some stored guns at their hotels. Some made use of weapons on site. Example: Sentencing is today for Matthew Krol. DOJ is asking for 78 months of prison time. There’s a valid argument to be had if that’s overkill but here’s one of his offenses caught on tape. Here he is stealing a baton from a police officer and then using it to hit other officers. Never heard of Krol? That’s not surprising, considering the main reporters on the Right have failed us. This is one of HUNDREDS of examples. You can see them all there. OUR SIDE DOESN'T DO THIS CRAP. Or at least, we're not supposed to. Yes, there is a double-standard and we are held to a higher standard than Antifa folks. But we hold OURSELVES to a higher standard as well. Fight for the innocent but if we don't accept responsibility for the violent threats in our movement which haunt us even today - we're in trouble. If Nov 5, 2024 is all about Jan 6, 2021 - we lose. Krol video below:

Justin Hart

697,714 Aufrufe • vor 2 Jahren

Love and Deepspace | New Interactive 5-Star Memory💍 [Xavier: Starfall Sanctuary] Set sail with the stars—chase the shooting stars, ride the moon, and drift gently across the night sky. Bound by a promise to be each other's companion on this journey. So from now on, one will never have to voyage alone again. "I want the moon and the river of stars to witness this moment with us." 💍Witnessed By Deepspace From 05:00 on Jul. 3 to 04:59 on Jul. 22 (server time), you can select three out of the five event-limited 5-Star Memories: [Xavier: Starfall Sanctuary], [Zayne: Iceborn Warmth], [Rafayel: Destined Dawntide], [Sylus: Alternative Darkborne], and [Caleb: Wayward Wonderland]. The drop rate of the 3 Memories you selected will be significantly increased. Each time you obtain a 5-Star Memory, there's a 75% chance it will be one of the three Memories you selected. *See the specific wish rules in the following event preview. 💍Cumulative Wish Rewards During the event, after making a certain number of Wishes, you can claim Universal Veil [Sunset Mist], [Deepspace Wish: Limited*20], His [Memory-Themed Outfits], selectable [Event-Limited 5-Star Memory], and more rewards. *The cumulative rewards are only available during this wish event. 💍Limited-Time Memory Growth Bonus During the event, complete growth tasks of the above event-limited 5-Star Memories to claim various Upgrade and Ascension Materials. When the event-limited Memories reach Rank 1, you can claim the [Special-Colored Memory-Themed Outfit] for the corresponding love interest. 💍Claim Full Formal Wear Sets: Wedding Dress, Ring & More! Obtain Memory from the [Witnessed by Deepspace] series and complete specific Memoria to claim "My" Formal Wear Set, including a wedding dress and various Accessories! Own both "My" Formal Wear Set and His Event Memory Outfit (Original or Special-colored Version) to receive "My" [Bespoke Ring] as a bonus reward! #LoveandDeepspace #WitnessedByDeepspace #Xavier
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Love and Deepspace | New Interactive 5-Star Memory💍 [Xavier: Starfall Sanctuary] Set sail with the stars—chase the shooting stars, ride the moon, and drift gently across the night sky. Bound by a promise to be each other's companion on this journey. So from now on, one will never have to voyage alone again. "I want the moon and the river of stars to witness this moment with us." 💍Witnessed By Deepspace From 05:00 on Jul. 3 to 04:59 on Jul. 22 (server time), you can select three out of the five event-limited 5-Star Memories: [Xavier: Starfall Sanctuary], [Zayne: Iceborn Warmth], [Rafayel: Destined Dawntide], [Sylus: Alternative Darkborne], and [Caleb: Wayward Wonderland]. The drop rate of the 3 Memories you selected will be significantly increased. Each time you obtain a 5-Star Memory, there's a 75% chance it will be one of the three Memories you selected. *See the specific wish rules in the following event preview. 💍Cumulative Wish Rewards During the event, after making a certain number of Wishes, you can claim Universal Veil [Sunset Mist], [Deepspace Wish: Limited*20], His [Memory-Themed Outfits], selectable [Event-Limited 5-Star Memory], and more rewards. *The cumulative rewards are only available during this wish event. 💍Limited-Time Memory Growth Bonus During the event, complete growth tasks of the above event-limited 5-Star Memories to claim various Upgrade and Ascension Materials. When the event-limited Memories reach Rank 1, you can claim the [Special-Colored Memory-Themed Outfit] for the corresponding love interest. 💍Claim Full Formal Wear Sets: Wedding Dress, Ring & More! Obtain Memory from the [Witnessed by Deepspace] series and complete specific Memoria to claim "My" Formal Wear Set, including a wedding dress and various Accessories! Own both "My" Formal Wear Set and His Event Memory Outfit (Original or Special-colored Version) to receive "My" [Bespoke Ring] as a bonus reward! #LoveandDeepspace #WitnessedByDeepspace #Xavier

Love and Deepspace

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