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First batch of additions to AdHoc Tools: * Edit time Physics Sim (video) * BrickColor Browser * Sliders for Gui UDim2 properties * Rotate parts around their pivot in local space * Hello AdHoc greeting * Add Snowflake Eyes Face * Motivational Animal Quotes

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Stravant

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20,084 views • 6 months ago •via X (Twitter)

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Another batch of AdHoc Tools additions: * Property Randomizer * Quick Parenting (remember recent selections and reparent them via two clicks) * Part/Model Cutter Search "AdHoc" in the creator store/toolbox to get it. Ask for new additions here:
0:26

Another batch of AdHoc Tools additions: * Property Randomizer * Quick Parenting (remember recent selections and reparent them via two clicks) * Part/Model Cutter Search "AdHoc" in the creator store/toolbox to get it. Ask for new additions here:

Stravant

17,729 views • 6 months ago

New in AdHoc tools: * Sweep Arc (Cross between ResizeAlign and GapFill) * Resize Each Part (behavior from F3X / SBS) Make your tool request today... In the Discord server: On the plugin page:
0:21

New in AdHoc tools: * Sweep Arc (Cross between ResizeAlign and GapFill) * Resize Each Part (behavior from F3X / SBS) Make your tool request today... In the Discord server: On the plugin page:

Stravant

66,169 views • 6 months ago

16,000 lines of code later, PolyMap polygon terrain editing plugin out now: Overview video: Discord for bugs / suggestions: PolyMap lets you automatically treat the parts in your place like an editable mesh.
1:40

16,000 lines of code later, PolyMap polygon terrain editing plugin out now: Overview video: Discord for bugs / suggestions: PolyMap lets you automatically treat the parts in your place like an editable mesh.

Stravant

155,210 views • 2 months ago

Using runtime physics now
0:35

Using runtime physics now

Stravant

23,851 views • 9 days ago

MaterialFlip update for 8/9: • Now rotates the material direction on any face for Cylinders / Wedges / CornerWedges. • Included front-face visualization. • Setting to keep Decals how they were while rotating Material direction. Get it here:
0:32

MaterialFlip update for 8/9: • Now rotates the material direction on any face for Cylinders / Wedges / CornerWedges. • Included front-face visualization. • Setting to keep Decals how they were while rotating Material direction. Get it here:

Stravant

26,822 views • 21 days ago

The Elusive Concept of Time - Part II Pulsar Timing The first scene showed you Time as a local rate...clocks nearer the hole run slower, light gets redshifted, and spin drags the geometry around. This follow-up keeps the same idea, but turns it into a timing experiment. Instead of watching a clock face, we watch a receiver compare what arrives versus what flat space would predict. In the animation, the three small orange dots are the pulsars...orbiting emitters that flash regularly (in their own proper time). The larger white dot is the receiver sitting off to the side, and the little dark nub next to it is a tiny craft/antenna marker to make it feel like an instrument, not a star. When a pulsar lines up behind the hole relative to the receiver, the arrival times jump, because curved spacetime added extra delay and bent the path. #Physics #GeneralRelativity #PulsarTiming #BlackHoles #FrameDragging #Spacetime #Astrophysics #Time
1:00

The Elusive Concept of Time - Part II Pulsar Timing The first scene showed you Time as a local rate...clocks nearer the hole run slower, light gets redshifted, and spin drags the geometry around. This follow-up keeps the same idea, but turns it into a timing experiment. Instead of watching a clock face, we watch a receiver compare what arrives versus what flat space would predict. In the animation, the three small orange dots are the pulsars...orbiting emitters that flash regularly (in their own proper time). The larger white dot is the receiver sitting off to the side, and the little dark nub next to it is a tiny craft/antenna marker to make it feel like an instrument, not a star. When a pulsar lines up behind the hole relative to the receiver, the arrival times jump, because curved spacetime added extra delay and bent the path. #Physics #GeneralRelativity #PulsarTiming #BlackHoles #FrameDragging #Spacetime #Astrophysics #Time

Mathelirium

55,826 views • 7 months ago

RoadHelper plugin update for 7/12: • T/X Intersection Support • Additional settings like hiding lane markings (if you want to draw custom ones) Get it here:
1:16

RoadHelper plugin update for 7/12: • T/X Intersection Support • Additional settings like hiding lane markings (if you want to draw custom ones) Get it here:

Stravant

27,275 views • 1 month ago

Stephen Wolfram, founder of Wolfram Research, explains how LLMs are quietly dismantling our deepest assumptions about consciousness: He argues that large language models have done something philosophy and neuroscience couldn't: "In terms of consciousness, I have to say, the idea that there's sort of something magic that goes beyond physics that leads to sort of conscious behavior, I kind of think that LLMs kind of put the final nail in that coffin." His reasoning is that LLMs keep doing things people assumed they couldn't: "There were all these things where it's like, oh, maybe it can't do this, but actually it does. And it's just an artificial neural net." Wolfram then challenges a core assumption about conscious experience: the feeling that we are a single, continuous self moving through time. "I think our notion of consciousness is a lot related to the fact that we believe in the single thread of experience that we have. It's not obvious that we should have a persistent thread of experience." He points out that physics doesn't actually support this intuition: "In our models of physics, we're made of different atoms of space at every successive moment of time. So the fact that we have this belief that we are somehow persistent, we have this thread of experience that extends through time, is not obvious." Then Wolfram offers a striking origin story for consciousness itself. Stephen Wolfram suggests it traces back to a simple evolutionary pressure: the moment animals first needed to move. "I kind of realized that probably when animals first existed in the history of life on Earth, that's when we started needing brains. If you're a thing that doesn't have to move around, the different parts of you can be doing different kinds of things. If you're an animal, then one thing you have to do is decide, are you going to go left or are you going to go right?" That single binary choice, he argues, may be the seed of everything we now call awareness: "I kind of think it's a little disappointing to feel that this whole wanted thing that ends up being what we think of as consciousness might have originated in just that very simple need to decide if you are an animal that can move. You have to take all that sensory input and you have to make a definitive decision about do you go this way or that way." The takeaway is unsettling but clarifying. If LLMs can produce complex behavior from simple rules, then consciousness may not be a mystical add-on to physics. It may just be what happens when a layered enough system has to make a decision.
1:33

Stephen Wolfram, founder of Wolfram Research, explains how LLMs are quietly dismantling our deepest assumptions about consciousness: He argues that large language models have done something philosophy and neuroscience couldn't: "In terms of consciousness, I have to say, the idea that there's sort of something magic that goes beyond physics that leads to sort of conscious behavior, I kind of think that LLMs kind of put the final nail in that coffin." His reasoning is that LLMs keep doing things people assumed they couldn't: "There were all these things where it's like, oh, maybe it can't do this, but actually it does. And it's just an artificial neural net." Wolfram then challenges a core assumption about conscious experience: the feeling that we are a single, continuous self moving through time. "I think our notion of consciousness is a lot related to the fact that we believe in the single thread of experience that we have. It's not obvious that we should have a persistent thread of experience." He points out that physics doesn't actually support this intuition: "In our models of physics, we're made of different atoms of space at every successive moment of time. So the fact that we have this belief that we are somehow persistent, we have this thread of experience that extends through time, is not obvious." Then Wolfram offers a striking origin story for consciousness itself. Stephen Wolfram suggests it traces back to a simple evolutionary pressure: the moment animals first needed to move. "I kind of realized that probably when animals first existed in the history of life on Earth, that's when we started needing brains. If you're a thing that doesn't have to move around, the different parts of you can be doing different kinds of things. If you're an animal, then one thing you have to do is decide, are you going to go left or are you going to go right?" That single binary choice, he argues, may be the seed of everything we now call awareness: "I kind of think it's a little disappointing to feel that this whole wanted thing that ends up being what we think of as consciousness might have originated in just that very simple need to decide if you are an animal that can move. You have to take all that sensory input and you have to make a definitive decision about do you go this way or that way." The takeaway is unsettling but clarifying. If LLMs can produce complex behavior from simple rules, then consciousness may not be a mystical add-on to physics. It may just be what happens when a layered enough system has to make a decision.

Big Brain AI

195,152 views • 3 months ago

It was such an honor to help design this “Snap” coin that flew alongside four crew coins on the Polaris Dawn mission and an even greater honor to see it fly to space. Thank you to our artist friend Erin Bonilla for beautifully turning this idea into reality. I was so blown away when the crew graciously offered this opportunity - thank you - I can’t wait to put the flown coin on display and will cherish it forever. Some insight on the design: The seven stars represent the seven astronauts I have been lucky to befriend from Inspiration4 to Polaris Dawn: Jared, Sian, Hayley, Chris, Kidd, Sarah, and Anna. My silhouette is seen capturing a Falcon 9 rising in front of sunrise, based off one of my all-time favorite photos, but with the fairing swapped out for a Dragon. Other elements include palm trees and birds representing my appreciation for the local Florida nature around the Cape. In the video you can see the flown coin floating in space. Earlier in the mission it reached new heights in Earth orbit during a crewed mission and then was exposed to the vacuum of space during the mission’s spacewalk. The still image is another unit, not flown, captured a few months ago when I saw the coin in-person for the first time. I have kept it on my person for much of the last few months as a good luck token and reminder of the exciting space program whose stories I am lucky to help share. I had it with me all throughout launch day and on the VAB roof during liftoff, knowing that a copy - and a small part of me - was joining the crew in space. Many were made, and one each for the four crew and myself flew - but each coin has a small magnetic insert that pops out. Hundreds of those smaller inserts flew, and we will be able to pop in those small flown parts into the non-flown coins, such that hundreds of coins will have a part that flew. Thanks Jared Isaacman for the video! So cool - forever grateful.
0:20

It was such an honor to help design this “Snap” coin that flew alongside four crew coins on the Polaris Dawn mission and an even greater honor to see it fly to space. Thank you to our artist friend Erin Bonilla for beautifully turning this idea into reality. I was so blown away when the crew graciously offered this opportunity - thank you - I can’t wait to put the flown coin on display and will cherish it forever. Some insight on the design: The seven stars represent the seven astronauts I have been lucky to befriend from Inspiration4 to Polaris Dawn: Jared, Sian, Hayley, Chris, Kidd, Sarah, and Anna. My silhouette is seen capturing a Falcon 9 rising in front of sunrise, based off one of my all-time favorite photos, but with the fairing swapped out for a Dragon. Other elements include palm trees and birds representing my appreciation for the local Florida nature around the Cape. In the video you can see the flown coin floating in space. Earlier in the mission it reached new heights in Earth orbit during a crewed mission and then was exposed to the vacuum of space during the mission’s spacewalk. The still image is another unit, not flown, captured a few months ago when I saw the coin in-person for the first time. I have kept it on my person for much of the last few months as a good luck token and reminder of the exciting space program whose stories I am lucky to help share. I had it with me all throughout launch day and on the VAB roof during liftoff, knowing that a copy - and a small part of me - was joining the crew in space. Many were made, and one each for the four crew and myself flew - but each coin has a small magnetic insert that pops out. Hundreds of those smaller inserts flew, and we will be able to pop in those small flown parts into the non-flown coins, such that hundreds of coins will have a part that flew. Thanks Jared Isaacman for the video! So cool - forever grateful.

John Kraus

288,793 views • 1 year ago

RoadHelper update for 7/9 • Added presets when inserting segments • Added lane count / width settings to the panel Get it here:
0:29

RoadHelper update for 7/9 • Added presets when inserting segments • Added lane count / width settings to the panel Get it here:

Stravant

12,488 views • 1 month ago

ProceduralCart track system out now. Creator Store link: Overview Video:
1:24

ProceduralCart track system out now. Creator Store link: Overview Video:

Stravant

30,112 views • 2 months ago

Another quick plugin, RopeTool: Creates and edits Ropes / Wires, using the same implicit geometry tech from PolyMap to avoid needing any auxiliary data stored in ServerStorage.
1:14

Another quick plugin, RopeTool: Creates and edits Ropes / Wires, using the same implicit geometry tech from PolyMap to avoid needing any auxiliary data stored in ServerStorage.

Stravant

36,605 views • 28 days ago

Updated ProceduralModel roads and companion RoadHelper Plugin out now. RoadHelper: The underlying ProceduralModel roads: Racetrack sample: You'll have to excuse the poor driving, not the fault of the plugin!
1:46

Updated ProceduralModel roads and companion RoadHelper Plugin out now. RoadHelper: The underlying ProceduralModel roads: Racetrack sample: You'll have to excuse the poor driving, not the fault of the plugin!

Stravant

23,686 views • 1 month ago

GeoLibre v2.4.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release is about reaching more data and moving through it: new browsers for STAC, NASA Earthdata, and Hugging Face, a flight simulator, a Time Slider that animates tiled data and data cubes, and a live API for pages that embed the map. What's new in v2.4.0 - STAC catalogs browser: discover public catalogs from STAC Index, connect to static catalogs and STAC APIs, search a collection's items, and add any visualizable asset to the map. No more copying COG URLs by hand. - Earthdata GIS browser: search NASA's Earthdata GIS portal and add its imagery, map, and feature services, and its published web maps, as first-class layers. - Hugging Face on the map: search the Hub, walk a dataset repo's folders, and add its vector and raster files. You can create a dataset repo and upload layers to it too. - Flight Simulator: steer a continuous free-flight camera over terrain and 3D layers from the keyboard, instead of declaring a destination and watching a scripted flight. - Time Slider for tiled data and data cubes: bind vector tiles, PMTiles, and MBTiles to the timeline and animate them over their full extent, and let a Zarr store's own time dimension join the shared timeline. - Zarr gets a real Add Data path: open a remote store or a folder on disk, and pick variables and dimensions by their actual coordinate values rather than raw indices. - Live embed API: a versioned postMessage protocol so a host page can load a project, move the camera, highlight features, and open a tool at runtime, with events coming back out. - OGC API - Features: add collections as vector layers from whatever URL you have in hand, whether that is a landing page, /collections, or a full items URL. - H3 everywhere: a new hexagonal grid plugin that renders and inspects H3 cells and exports them as GeoJSON or CSV, plus typing an H3 index into the search box to fly straight to that cell. - Jupyter from outside the app: attach VS Code's Jupyter extension or jupyter console to the desktop app's server and your notebook cells drive the map. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #RemoteSensing #DataVisualization #GeoLibre
1:04

GeoLibre v2.4.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release is about reaching more data and moving through it: new browsers for STAC, NASA Earthdata, and Hugging Face, a flight simulator, a Time Slider that animates tiled data and data cubes, and a live API for pages that embed the map. What's new in v2.4.0 - STAC catalogs browser: discover public catalogs from STAC Index, connect to static catalogs and STAC APIs, search a collection's items, and add any visualizable asset to the map. No more copying COG URLs by hand. - Earthdata GIS browser: search NASA's Earthdata GIS portal and add its imagery, map, and feature services, and its published web maps, as first-class layers. - Hugging Face on the map: search the Hub, walk a dataset repo's folders, and add its vector and raster files. You can create a dataset repo and upload layers to it too. - Flight Simulator: steer a continuous free-flight camera over terrain and 3D layers from the keyboard, instead of declaring a destination and watching a scripted flight. - Time Slider for tiled data and data cubes: bind vector tiles, PMTiles, and MBTiles to the timeline and animate them over their full extent, and let a Zarr store's own time dimension join the shared timeline. - Zarr gets a real Add Data path: open a remote store or a folder on disk, and pick variables and dimensions by their actual coordinate values rather than raw indices. - Live embed API: a versioned postMessage protocol so a host page can load a project, move the camera, highlight features, and open a tool at runtime, with events coming back out. - OGC API - Features: add collections as vector layers from whatever URL you have in hand, whether that is a landing page, /collections, or a full items URL. - H3 everywhere: a new hexagonal grid plugin that renders and inspects H3 cells and exports them as GeoJSON or CSV, plus typing an H3 index into the search box to fly straight to that cell. - Jupyter from outside the app: attach VS Code's Jupyter extension or jupyter console to the desktop app's server and your notebook cells drive the map. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #RemoteSensing #DataVisualization #GeoLibre

Qiusheng Wu

14,268 views • 1 month ago

The "three fingers in front of your face" test (also called the 3-Finger Test) is a simple, viral trick popularized in early 2026 for spotting deepfakes or AI-generated video during live calls, especially with scammers. How It Works On a video call (Zoom, FaceTime, etc.), you ask the other person: "Can you hold up three fingers in front of your face?" A real human does this easily — their hand overlaps their face naturally. Many (especially older) deepfake or real-time face-swap systems struggle with this because: - They have trouble rendering occlusion (when the hand blocks part of the face) accurately in real time. - This often causes visible glitches: blurring, warping, distortion, unnatural blending, or the AI refusing / hesitating because it can't process the complex interaction properly. In the original viral clip (from cybersecurity researchers like Jim Browning and Huntress Labs), a suspected scammer hesitates, deflects ("That's too much..."), partially complies poorly, or the video glitches — exposing the fake. Why It Fits the Cognitive Wild West This test is a practical example of the "Cognitive Wild West" idea: in an era of synthetic media, people are developing quick hacks and personal "defenses" because there's no widespread, reliable system for verifying reality. It's low-tech cognitive security against high-tech deception — part of the arms race between AI creators and everyday users trying not to get scammed or manipulated. Limitations (It's Not Foolproof) Already becoming obsolete — Newer, more advanced deepfake models (as of mid-2026) handle hand-face interactions much better. Scammers now know the trick and can train around it or use better tech. It works best on real-time generated deepfakes, not pre-recorded or highly polished ones. False confidence is a risk: relying on one trick can make you less safe if you ignore other red flags (odd lighting, unnatural eye movement, audio mismatches, etc.). Better Practices in the Wild West Security experts recommend combining it with: - Asking for unpredictable actions (e.g., specific movements or objects). - Verifying identity through other channels (call back on a known number, check details independently). - Using emerging detection tools or just defaulting to higher scepticism on unsolicited video calls. It's a fun, memorable meme in the broader discussion of living with AI-generated content, but like everything in this space, it's temporary — the frontier keeps moving.
1:45

The "three fingers in front of your face" test (also called the 3-Finger Test) is a simple, viral trick popularized in early 2026 for spotting deepfakes or AI-generated video during live calls, especially with scammers. How It Works On a video call (Zoom, FaceTime, etc.), you ask the other person: "Can you hold up three fingers in front of your face?" A real human does this easily — their hand overlaps their face naturally. Many (especially older) deepfake or real-time face-swap systems struggle with this because: - They have trouble rendering occlusion (when the hand blocks part of the face) accurately in real time. - This often causes visible glitches: blurring, warping, distortion, unnatural blending, or the AI refusing / hesitating because it can't process the complex interaction properly. In the original viral clip (from cybersecurity researchers like Jim Browning and Huntress Labs), a suspected scammer hesitates, deflects ("That's too much..."), partially complies poorly, or the video glitches — exposing the fake. Why It Fits the Cognitive Wild West This test is a practical example of the "Cognitive Wild West" idea: in an era of synthetic media, people are developing quick hacks and personal "defenses" because there's no widespread, reliable system for verifying reality. It's low-tech cognitive security against high-tech deception — part of the arms race between AI creators and everyday users trying not to get scammed or manipulated. Limitations (It's Not Foolproof) Already becoming obsolete — Newer, more advanced deepfake models (as of mid-2026) handle hand-face interactions much better. Scammers now know the trick and can train around it or use better tech. It works best on real-time generated deepfakes, not pre-recorded or highly polished ones. False confidence is a risk: relying on one trick can make you less safe if you ignore other red flags (odd lighting, unnatural eye movement, audio mismatches, etc.). Better Practices in the Wild West Security experts recommend combining it with: - Asking for unpredictable actions (e.g., specific movements or objects). - Verifying identity through other channels (call back on a known number, check details independently). - Using emerging detection tools or just defaulting to higher scepticism on unsolicited video calls. It's a fun, memorable meme in the broader discussion of living with AI-generated content, but like everything in this space, it's temporary — the frontier keeps moving.

9/11 Revisited

2,340,012 views • 2 months ago

Last week we had the biggest one-day MRR gain in Every's history. It came from launching All Access—a 625-dollar-a-year membership that added about 9,000 dollars in MRR for Every 🪨 in two days. On this week's AI&I, I handed the mic to our COO Brandon Gell, who sat down with three of Every 🪨's own builders—growth engineer Yash Poojary, head of growth Austin Tedesco, and head of marketing Douglas Brundage—to talk about the tools they use most, how they build with them, and their tips for new builders on getting started. They also got into: - How Austin runs two agents at once. While steering Codex on one task, Austin—who calls himself "actually really bad" at video editing—has Claude running in a separate loop with Descript's MCP, building storyboards, writing scripts, and assembling cuts. By the time he sits down to review, it's gotten him 70% of the way to a finished video. - Why Yash treats new AI models like flavors he’s testing. He uses Cursor's cloud agents to run multiple models side by side and figure out which one he prefers, rather than switching to whatever's newest. "I'm so picky about my models that even if a new model drops, I don't change to that," he says, unless testing proves it's better. - Why Brandon thinks the real barrier to building isn't always skill, it's cost. He tells the story of a friend's younger brother, a trained engineer who can't land a job and can't afford to experiment with AI tools that cost other engineers $30K a month. That gap is the whole reason the Builder Pack exists. - Why the team feels safe automating their own jobs. Yash says everyone at Every is secure enough in their skills that automating the repetitive parts of their work doesn't feel threatening, it just clears space for the parts they're good at and enjoy doing. If you want to get started with building, or simply get more ideas on how to work with AI, this episode is for you. Watch on X or YouTube, or listen on Spotify or Apple Podcasts. Timestamps: 0:00 Intro 0:35 All Access Explained 3:01 Yash's Tech Stack and How He's Automating Testing Pipelines 8:02 The Idea to Execution Loop 10:25 How an Agent Turned an Idea into $25K 17:50 The AI Sandwich Workflow 22:03 Making AI Tools Accessible to Solo Builders 28:50 Douglas on Brand and Design 34:51 Tips on What to Build First 43:46 What's Next for All Access
46:30

Last week we had the biggest one-day MRR gain in Every's history. It came from launching All Access—a 625-dollar-a-year membership that added about 9,000 dollars in MRR for Every 🪨 in two days. On this week's AI&I, I handed the mic to our COO Brandon Gell, who sat down with three of Every 🪨's own builders—growth engineer Yash Poojary, head of growth Austin Tedesco, and head of marketing Douglas Brundage—to talk about the tools they use most, how they build with them, and their tips for new builders on getting started. They also got into: - How Austin runs two agents at once. While steering Codex on one task, Austin—who calls himself "actually really bad" at video editing—has Claude running in a separate loop with Descript's MCP, building storyboards, writing scripts, and assembling cuts. By the time he sits down to review, it's gotten him 70% of the way to a finished video. - Why Yash treats new AI models like flavors he’s testing. He uses Cursor's cloud agents to run multiple models side by side and figure out which one he prefers, rather than switching to whatever's newest. "I'm so picky about my models that even if a new model drops, I don't change to that," he says, unless testing proves it's better. - Why Brandon thinks the real barrier to building isn't always skill, it's cost. He tells the story of a friend's younger brother, a trained engineer who can't land a job and can't afford to experiment with AI tools that cost other engineers $30K a month. That gap is the whole reason the Builder Pack exists. - Why the team feels safe automating their own jobs. Yash says everyone at Every is secure enough in their skills that automating the repetitive parts of their work doesn't feel threatening, it just clears space for the parts they're good at and enjoy doing. If you want to get started with building, or simply get more ideas on how to work with AI, this episode is for you. Watch on X or YouTube, or listen on Spotify or Apple Podcasts. Timestamps: 0:00 Intro 0:35 All Access Explained 3:01 Yash's Tech Stack and How He's Automating Testing Pipelines 8:02 The Idea to Execution Loop 10:25 How an Agent Turned an Idea into $25K 17:50 The AI Sandwich Workflow 22:03 Making AI Tools Accessible to Solo Builders 28:50 Douglas on Brand and Design 34:51 Tips on What to Build First 43:46 What's Next for All Access

Dan Shipper 📧

17,427 views • 1 month ago

Plugin vibecoding speedrun, better Tool Grip Editor in ~3 hours:
0:33

Plugin vibecoding speedrun, better Tool Grip Editor in ~3 hours:

Stravant

21,251 views • 6 months ago

There's a whole laundry list of proofs that I find independently convincing, but if I had to pick just one single argument to hang my hat on for why I believe the Earth is flat and stationary, it is the STARS & PLANETS, and their paths in the sky from Earth's POV. How do you explain in the heliocentric model, how every star traces perfect circles around the North Star, and every PLANET traces perfect sacred geometrical patterns around the North Star as well? According to the heliocentric model of the solar system (1st video) all of these spinning ball planets in the Milky Way are orbiting the SUN, at different speeds and path circumferences, at distance ranges from 36 million to 2.8 billion miles away from us. The North Star, NASA tells us, is 2.5 QUADRILLION miles away. Now tell me how all of these independent Sun-orbiting planets would trace PERFECT patterns around the North Star for 6,000+ years of recorded history? Venus literally creates a PERFECT flower of life pattern, which we see appear in nature here on Earth as well. Get the f*ck out of here if you think that's just a fluke cosmic accident. Not to mention, EVERY SINGLE CONSTELLATION has remained the exact same in our sky for 6,000 years? Not a single one has appeared or disappeared, while the universe is supposedly expanding at countless millions of miles per hour? Remember, these are all of Earth's movement vectors we are supposedly experiencing as we soar through the infinitely-expanding void of space 👇 🫨 1,000 MPH spinning around Earth's axis 🫨 66,600 MPH flying around Sun 🫨 500,000 MPH flying through the galaxy 🫨 1,300,000 MPH entire galaxy flying through space 🫨 All while the entire universe is EXPANDING, speeding all of these vectors up and warping the directions in different/random ways 🫨 ALL OF THE STARS we see are flying in different directions too, at their own incomprehensible speeds And yet, the stars we see in the night sky have never changed. Ever. I'm sorry but the "it's parallax" response from the globers doesn't cut it for me - that sounds like a glaring example of starting with a pre-determined conclusion in mind, and making anything up in the middle in order to get to that conclusion. (I WILL GRANT HOWEVER, that at least the parallax effect is something we can visibly see and experience on the micro level—unlike "gravity"—so I will concede that it obviously exists. I just don't believe that it explains all of the above motions, distances, and perfection of consistency in the patterns created by the cosmology we observe). Every ounce of my common sense-trusting brain tells me that all of these insanely huge numbers are just brain-numbing nonsense to obfuscate away from the far-simpler truth: that NONE of these incomprehensible speeds/distances are even happening at all, and rather, the Earth is flat and stationary, and these unchanging constellations and planetary movements are indeed revolving around US. The North Star (Polaris) lies directly above the North Pole, and does not move. The stars and planets rotate around the North Star, above Earth. Just as it looks and feels. I dove into way more nuance on all of these concepts in the first 3 Parts of the 5-Part Flat Earth video series I made for my podcast, which I will link below. WATCH THOSE VIDEOS. And as always, if you have refuting points to share, please drop them in the comments below so we can discuss! #FlatEarth
0:33

There's a whole laundry list of proofs that I find independently convincing, but if I had to pick just one single argument to hang my hat on for why I believe the Earth is flat and stationary, it is the STARS & PLANETS, and their paths in the sky from Earth's POV. How do you explain in the heliocentric model, how every star traces perfect circles around the North Star, and every PLANET traces perfect sacred geometrical patterns around the North Star as well? According to the heliocentric model of the solar system (1st video) all of these spinning ball planets in the Milky Way are orbiting the SUN, at different speeds and path circumferences, at distance ranges from 36 million to 2.8 billion miles away from us. The North Star, NASA tells us, is 2.5 QUADRILLION miles away. Now tell me how all of these independent Sun-orbiting planets would trace PERFECT patterns around the North Star for 6,000+ years of recorded history? Venus literally creates a PERFECT flower of life pattern, which we see appear in nature here on Earth as well. Get the f*ck out of here if you think that's just a fluke cosmic accident. Not to mention, EVERY SINGLE CONSTELLATION has remained the exact same in our sky for 6,000 years? Not a single one has appeared or disappeared, while the universe is supposedly expanding at countless millions of miles per hour? Remember, these are all of Earth's movement vectors we are supposedly experiencing as we soar through the infinitely-expanding void of space 👇 🫨 1,000 MPH spinning around Earth's axis 🫨 66,600 MPH flying around Sun 🫨 500,000 MPH flying through the galaxy 🫨 1,300,000 MPH entire galaxy flying through space 🫨 All while the entire universe is EXPANDING, speeding all of these vectors up and warping the directions in different/random ways 🫨 ALL OF THE STARS we see are flying in different directions too, at their own incomprehensible speeds And yet, the stars we see in the night sky have never changed. Ever. I'm sorry but the "it's parallax" response from the globers doesn't cut it for me - that sounds like a glaring example of starting with a pre-determined conclusion in mind, and making anything up in the middle in order to get to that conclusion. (I WILL GRANT HOWEVER, that at least the parallax effect is something we can visibly see and experience on the micro level—unlike "gravity"—so I will concede that it obviously exists. I just don't believe that it explains all of the above motions, distances, and perfection of consistency in the patterns created by the cosmology we observe). Every ounce of my common sense-trusting brain tells me that all of these insanely huge numbers are just brain-numbing nonsense to obfuscate away from the far-simpler truth: that NONE of these incomprehensible speeds/distances are even happening at all, and rather, the Earth is flat and stationary, and these unchanging constellations and planetary movements are indeed revolving around US. The North Star (Polaris) lies directly above the North Pole, and does not move. The stars and planets rotate around the North Star, above Earth. Just as it looks and feels. I dove into way more nuance on all of these concepts in the first 3 Parts of the 5-Part Flat Earth video series I made for my podcast, which I will link below. WATCH THOSE VIDEOS. And as always, if you have refuting points to share, please drop them in the comments below so we can discuss! #FlatEarth

Ben Wehrman

12,019 views • 5 months ago

For the past few weeks I’ve been teaching 50+ kids how to create their own games with AI. The results have been incredible 🤯 I started with my 5 y/o nephew because I was worried about him spending hours doomscrolling and consuming brainrot content. He built his first game using v0, though I had to walk him through each step. Watching kids interact with these tools taught me so much about how they think, where they get stuck, and what keeps them motivated. The moment that really struck me came right after he finished that first game. Every time I saw him afterward, he’d run up and ask, “Did you bring your laptop so I can keep playing?”. For him, “playing” meant creating. That kind of excitement is organic pull. Don’t get me wrong, I love v0 and Lovable. They’re insanely powerful. Their UIs just aren’t designed for kids, and that’s totally fine. Kids still need guidance, structure, and a bit of tutoring to turn ideas into something playable. I’m seeing tech leaders push in this direction too, and I think there’s a real opportunity here (Matias Woloski Thomas Wolf). Kids are the future, and I don’t want to live in a world where they spend precious time consuming instead of creating. That’s why I love tools like v0, Lovable, wabi , Cursor . They’re empowering more people to become creators. I want that same feeling for kids. What Guillermo is saying is real. Kids need to be AI-literate from the outset. It honestly makes me sad to think about my nephew growing up and falling behind on AI and everything happening around him because he’s stuck in Roblox or TikTok. That’s why I built Rabbit 🐰 for him. It started as a simple prototype, but somehow I ended up talking with 200+ parents and kids, tech leaders, investors, and people I never imagined meeting around the world. Rabbit now has 100+ people on the waitlist, and 10 kids are using it two to three times per week on average to create their own games 🫡 I’m not sure yet if this will become my full-time project, but I deeply care about it. If you’re building in this space, I’d love to connect and share ideas. And if you’re a parent interested in Rabbit, I’d love your feedback. Sharing a short video of kids using Rabbit below:
0:07

For the past few weeks I’ve been teaching 50+ kids how to create their own games with AI. The results have been incredible 🤯 I started with my 5 y/o nephew because I was worried about him spending hours doomscrolling and consuming brainrot content. He built his first game using v0, though I had to walk him through each step. Watching kids interact with these tools taught me so much about how they think, where they get stuck, and what keeps them motivated. The moment that really struck me came right after he finished that first game. Every time I saw him afterward, he’d run up and ask, “Did you bring your laptop so I can keep playing?”. For him, “playing” meant creating. That kind of excitement is organic pull. Don’t get me wrong, I love v0 and Lovable. They’re insanely powerful. Their UIs just aren’t designed for kids, and that’s totally fine. Kids still need guidance, structure, and a bit of tutoring to turn ideas into something playable. I’m seeing tech leaders push in this direction too, and I think there’s a real opportunity here (Matias Woloski Thomas Wolf). Kids are the future, and I don’t want to live in a world where they spend precious time consuming instead of creating. That’s why I love tools like v0, Lovable, wabi , Cursor . They’re empowering more people to become creators. I want that same feeling for kids. What Guillermo is saying is real. Kids need to be AI-literate from the outset. It honestly makes me sad to think about my nephew growing up and falling behind on AI and everything happening around him because he’s stuck in Roblox or TikTok. That’s why I built Rabbit 🐰 for him. It started as a simple prototype, but somehow I ended up talking with 200+ parents and kids, tech leaders, investors, and people I never imagined meeting around the world. Rabbit now has 100+ people on the waitlist, and 10 kids are using it two to three times per week on average to create their own games 🫡 I’m not sure yet if this will become my full-time project, but I deeply care about it. If you’re building in this space, I’d love to connect and share ideas. And if you’re a parent interested in Rabbit, I’d love your feedback. Sharing a short video of kids using Rabbit below:

Fausto

44,125 views • 7 months ago