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🧠 New ability coming soon: Concentration This skill lets the pilot resist high G-forces for a longer time. While active, the jet can hold maximum overload without blackout — but the pilot’s vision becomes narrower and less clear. #Multiplayer #JetFighters #OnlineGaming #unity3d #madewithunity #gamedev #indiegames #indiegamehour #IndieGameDev #screenshotsaturday #gamedevelopment #gamedesign

Modern Jet Fighters

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15,308 views • 9 months ago •via X (Twitter)

#Multiplayer #JetFighters #OnlineGaming

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Update drop: we added unguided rockets (Hydra 80, S-5) reworked the entire balance, and tuned reflections + smoke! #Multiplayer #JetFighters #OnlineGaming #unity3d #madewithunity #gamedev #indiegames #indiegamehour #IndieGameDev #screenshotsaturday #gamedevelopment #gamedesign

Update drop: we added unguided rockets (Hydra 80, S-5) reworked the entire balance, and tuned reflections + smoke! #Multiplayer #JetFighters #OnlineGaming #unity3d #madewithunity #gamedev #indiegames #indiegamehour #IndieGameDev #screenshotsaturday #gamedevelopment #gamedesign

Modern Jet Fighters

17,322 views • 7 months ago

🚨🚨🚨Pilots, the time has come!🚨🚨🚨 We are launching the application process for the closed testing phase of Modern Jet Fighters. 📢 Please share this post so we can gather as many test pilots as possible! 👉 To join, please fill out the application form the link in next comment. The first wave of access will begin next week. This is your chance to be among the very first to take off, test the core gameplay, and help us polish the experience before the full release. Your feedback will be critical in shaping the game, and we can’t wait to hear from you. #Multiplayer #JetFighters #OnlineGaming #unity3d #madewithunity #gamedev #indiegames #indiegamehour #IndieGameDev #screenshotsaturday #gamedevelopment #gamedesign

🚨🚨🚨Pilots, the time has come!🚨🚨🚨 We are launching the application process for the closed testing phase of Modern Jet Fighters. 📢 Please share this post so we can gather as many test pilots as possible! 👉 To join, please fill out the application form the link in next comment. The first wave of access will begin next week. This is your chance to be among the very first to take off, test the core gameplay, and help us polish the experience before the full release. Your feedback will be critical in shaping the game, and we can’t wait to hear from you. #Multiplayer #JetFighters #OnlineGaming #unity3d #madewithunity #gamedev #indiegames #indiegamehour #IndieGameDev #screenshotsaturday #gamedevelopment #gamedesign

Modern Jet Fighters

23,260 views • 11 months ago

I might not have a new trailer for any gaming showcases today, but here are a few updates to how menus work. 😂 1) Character physics are now simulated and respond to mouse input while previewing your gear in the equipment screen. Previously physics were only active during gameplay, and a static model was used for menu renders. 2) Menus now have real-time lighting that can be changed by clicking on torches in the background. #indiegamedev #indiegame #unity3d #pcgamer #madewithunity #gamedev #gaming #Steam #fantasy #RPG #ScreenshotSaturday

I might not have a new trailer for any gaming showcases today, but here are a few updates to how menus work. 😂 1) Character physics are now simulated and respond to mouse input while previewing your gear in the equipment screen. Previously physics were only active during gameplay, and a static model was used for menu renders. 2) Menus now have real-time lighting that can be changed by clicking on torches in the background. #indiegamedev #indiegame #unity3d #pcgamer #madewithunity #gamedev #gaming #Steam #fantasy #RPG #ScreenshotSaturday

MORTAL CRUX - Wishlist on Steam

72,668 views • 2 months ago

🚨 Danny Goler: "If you use Apple Vision Pro and viewed while on DMT, the static symbolic code of reality becomes visible" 😱 "You all of a sudden have an image of the code if you're on DMT that is frozen. It's no longer moving. It's frozen." Researchers captured a high-resolution image of the laser band normally. When that same still image is loaded into Apple Vision Pro and viewed while on DMT, the static symbolic code becomes visible and remains completely frozen instead of running. The code only appears meaningful in the altered state. Without DMT the image looks ordinary. Custom software built for the Vision Pro lets participants click symbols in real time while their brain is scanned, registering exact coordinates and brain events. A radial menu offers the six most commonly reported symbols so reports can be labeled and compared. AI and the open repository at 'Veilbreak AI' are cataloging thousands of independent replications from people worldwide who have never spoken to each other. The frozen snapshot raises a clear question the team is now testing: is information actually present in the light field itself, or is it still a projection? This is the first time the phenomenon has been held still long enough for rigorous measurement.

🚨 Danny Goler: "If you use Apple Vision Pro and viewed while on DMT, the static symbolic code of reality becomes visible" 😱 "You all of a sudden have an image of the code if you're on DMT that is frozen. It's no longer moving. It's frozen." Researchers captured a high-resolution image of the laser band normally. When that same still image is loaded into Apple Vision Pro and viewed while on DMT, the static symbolic code becomes visible and remains completely frozen instead of running. The code only appears meaningful in the altered state. Without DMT the image looks ordinary. Custom software built for the Vision Pro lets participants click symbols in real time while their brain is scanned, registering exact coordinates and brain events. A radial menu offers the six most commonly reported symbols so reports can be labeled and compared. AI and the open repository at 'Veilbreak AI' are cataloging thousands of independent replications from people worldwide who have never spoken to each other. The frozen snapshot raises a clear question the team is now testing: is information actually present in the light field itself, or is it still a projection? This is the first time the phenomenon has been held still long enough for rigorous measurement.

Interstellar

188,456 views • 1 month ago

MIT’s latest research just just gave Robots a great new skill to grip delicate yet heavy objects without breaking them. The big problem is robots often cannot pick up heavy but fragile things because gripping hard enough usually means crushing or slipping. A single gripper shape has to do 2 conflicting jobs, it must move freely to form a wrap, then resist big forces while staying gentle. Open-ended grippers can snake into place, but they usually need stiffness to hold, and stiffness puts load into a few high-pressure contact points. Very soft grippers spread pressure well, but they can buckle or slide when the object is heavy, so they fail at the holding stage. This new idea from MIT, called loop closure grasping, completely avoids that tradeoff. Loop closure grasping starts as an open loop, meaning the robot has a free tip that can snake around clutter and find a good wrap. Once the wrap is right, the tip locks back onto the base, turning the shape into a closed loop that surrounds the object. Now the load is carried mainly by tension, like a sling, so the loop can stay very floppy in bending and still hold strongly without pointy pressure. The prototype uses inflatable “vine” beams that grow from the tip, then a clamp and winch to fasten, tighten, and finally deflate for soft holding. That combo lets it do awkward grasps, like lifting a 6.8kg kettlebell from a cluttered bin or pulling an object from 3m away. --- Paper - science. org/doi/10.1126/sciadv.ady9581

MIT’s latest research just just gave Robots a great new skill to grip delicate yet heavy objects without breaking them. The big problem is robots often cannot pick up heavy but fragile things because gripping hard enough usually means crushing or slipping. A single gripper shape has to do 2 conflicting jobs, it must move freely to form a wrap, then resist big forces while staying gentle. Open-ended grippers can snake into place, but they usually need stiffness to hold, and stiffness puts load into a few high-pressure contact points. Very soft grippers spread pressure well, but they can buckle or slide when the object is heavy, so they fail at the holding stage. This new idea from MIT, called loop closure grasping, completely avoids that tradeoff. Loop closure grasping starts as an open loop, meaning the robot has a free tip that can snake around clutter and find a good wrap. Once the wrap is right, the tip locks back onto the base, turning the shape into a closed loop that surrounds the object. Now the load is carried mainly by tension, like a sling, so the loop can stay very floppy in bending and still hold strongly without pointy pressure. The prototype uses inflatable “vine” beams that grow from the tip, then a clamp and winch to fasten, tighten, and finally deflate for soft holding. That combo lets it do awkward grasps, like lifting a 6.8kg kettlebell from a cluttered bin or pulling an object from 3m away. --- Paper - science. org/doi/10.1126/sciadv.ady9581

Rohan Paul

1,632,855 views • 8 months ago

Hundreds of destroyed Shaheds in HD quality! Announcing the Hornet Vision digital video system for STING interceptors—a game-changer in drone warfare Hornet Vision is an all-in-one digital suite and unique 2-in-1 ground control station for digital and analog STINGs Thank you to supporters for helping make this revolutionary technology possible! Please keep supporting: The station’s antenna module is equipped with a 360-degree circular video antenna, which eliminates the need for troops to re-aim the antenna to follow the interceptor The Hornet Vision control station records video and includes a broadcasting function The Hornet Vision digital unit is equipped with night thermal imaging and daytime cameras and transmits HD video. It can be installed on any drone and costs less than Chinese counterparts Hornet Vision is: 👉A mass-produced technology with hundreds of confirmed successful uses 👉Detection of aerial targets at distances up to 2 km 👉Independent communications channels, with the ability to switch in flight 👉360-degree coverage for video and radio signals 👉Operating range: 30+ km 👉Autonomous operating time of the ground station: 24 hours 👉Developed by Ukrainian engineers Using STING drones equipped with Hornet Vision, Ukrainian forces have destroyed hundreds of Shaheds and Gerbera drones Coming soon to all Wild Hornets. More to come!

Hundreds of destroyed Shaheds in HD quality! Announcing the Hornet Vision digital video system for STING interceptors—a game-changer in drone warfare Hornet Vision is an all-in-one digital suite and unique 2-in-1 ground control station for digital and analog STINGs Thank you to supporters for helping make this revolutionary technology possible! Please keep supporting: The station’s antenna module is equipped with a 360-degree circular video antenna, which eliminates the need for troops to re-aim the antenna to follow the interceptor The Hornet Vision control station records video and includes a broadcasting function The Hornet Vision digital unit is equipped with night thermal imaging and daytime cameras and transmits HD video. It can be installed on any drone and costs less than Chinese counterparts Hornet Vision is: 👉A mass-produced technology with hundreds of confirmed successful uses 👉Detection of aerial targets at distances up to 2 km 👉Independent communications channels, with the ability to switch in flight 👉360-degree coverage for video and radio signals 👉Operating range: 30+ km 👉Autonomous operating time of the ground station: 24 hours 👉Developed by Ukrainian engineers Using STING drones equipped with Hornet Vision, Ukrainian forces have destroyed hundreds of Shaheds and Gerbera drones Coming soon to all Wild Hornets. More to come!

🇺🇦Ukraine Resists Russian Genocide... Yeah Again

46,784 views • 7 months ago

We're only year 3 of a decade (if not multi-decades) long transformation of work. 3 years ago we bet on building an horizontal platform for work with agents, a chance to invent a new operating system for companies, from scratch, with AI as a fundamental premise. Many people considered us crazy for going after that, praising verticalized AI products as the winning strategy. But here's the thing: the time horizon of tasks successfully handled by agents has been predictively increasing form minutes to hours and will in all likelihood reach the equivalent of days and weeks of human work equivalent in the coming quarters. This is were verticalized and/or single-player AI falls short. Single-player tools, one person, one agent, confined to your machine is the wrong architecture for what's coming. We're shifting from using AI to produce things, to managing fleets of agents that do the producing. 3 years ago I wrote[1]: "ChatGPT is the Pong of LLMs. [...] Imagine, one day we'll get the DOOM, Civ, Red Alert, and Counter Strike of LLMs. Let alone multiplayer modes." Weeks long tasks in companies are inherently collaborative and mechanically spanning multiple teams. The new bottleneck in harnessing agents within organizations is coordination: multiple humans and multiple agents need to work together, with shared context, shared tools, shared goals. Agents that can hand work off to other agents or surface decisions to the right person at the right time. Humans who can review, steer, and step in without losing the thread. Teams that can run parallel workstreams and actually stay aligned. This is Multiplayer AI, and that's what we've been building at Dust. Across Datadog, Clay, Persona, 1Password, Doctolib and 3,000+ organizations globally, we've watched teams figure out what this looks like in practice. 300,000+ agents deployed. 70% weekly active. 240%+ NRR. Today we're announcing a $40M Series B with Abstract, Sequoia, Snowflake, and Datadog to accelerate our vision. Designing the right interfaces for multiplayer AI is the next frontier. Join us to redefine work by defining multiplayer AI.

We're only year 3 of a decade (if not multi-decades) long transformation of work. 3 years ago we bet on building an horizontal platform for work with agents, a chance to invent a new operating system for companies, from scratch, with AI as a fundamental premise. Many people considered us crazy for going after that, praising verticalized AI products as the winning strategy. But here's the thing: the time horizon of tasks successfully handled by agents has been predictively increasing form minutes to hours and will in all likelihood reach the equivalent of days and weeks of human work equivalent in the coming quarters. This is were verticalized and/or single-player AI falls short. Single-player tools, one person, one agent, confined to your machine is the wrong architecture for what's coming. We're shifting from using AI to produce things, to managing fleets of agents that do the producing. 3 years ago I wrote[1]: "ChatGPT is the Pong of LLMs. [...] Imagine, one day we'll get the DOOM, Civ, Red Alert, and Counter Strike of LLMs. Let alone multiplayer modes." Weeks long tasks in companies are inherently collaborative and mechanically spanning multiple teams. The new bottleneck in harnessing agents within organizations is coordination: multiple humans and multiple agents need to work together, with shared context, shared tools, shared goals. Agents that can hand work off to other agents or surface decisions to the right person at the right time. Humans who can review, steer, and step in without losing the thread. Teams that can run parallel workstreams and actually stay aligned. This is Multiplayer AI, and that's what we've been building at Dust. Across Datadog, Clay, Persona, 1Password, Doctolib and 3,000+ organizations globally, we've watched teams figure out what this looks like in practice. 300,000+ agents deployed. 70% weekly active. 240%+ NRR. Today we're announcing a $40M Series B with Abstract, Sequoia, Snowflake, and Datadog to accelerate our vision. Designing the right interfaces for multiplayer AI is the next frontier. Join us to redefine work by defining multiplayer AI.

Stanislas Polu

1,327,399 views • 3 months ago

Progress in open models is keeping Big AI labs up at night, and I'm here for it! We have a brand new open-weight multimodal model optimized for long-horizon tasks. This model is really good at something: it can work on tasks that keep evolving over time. • 280B total parameters, but only 16B active • 512K context window • Understands text, images, and audio • Strong reasoning, coding, and tool use But the best of all: the model learns and adapts to new information! Imagine you start running an agent today to solve a problem, and while it's working, you get new information that changes the initial conditions, or you change your mind. The agents you run today don't have issues with short tasks and goals that don't change, but reality is messy, and that makes it hard for long-horizon agents to succeed. The new dots3-note Preview model introduces TEMPO. TEMPO is a new reinforcement learning technique that lets the model periodically pause and critique its own progress. Basically, from time to time, the agent asks itself: "Am I getting closer to the goal, or am I wasting my time?" The same model switches between actor and critic. The actor works on the problem. The critic looks at the current state, reasons about how much progress it has made, and determines what should happen next. TEMPO gives the model feedback along the way. This is huge for any agent that can work on long-horizon tasks without wasting its time.

Santiago

70,010 views • 4 days ago

The Digital Panopticon is Here, and It’s Being Delivered by Update. A stark warning from a former 17-year Apple insider: the control grid we feared is no longer a dystopian theory. It’s being rolled out globally, not through force, but through convenience. Apple’s new digital ID integration is the latest Trojan horse. The pitch is seamless access. The price is your fundamental autonomy. Once your identity becomes a digital file, it becomes programmable. And once it's programmable, it becomes controllable. Your ability to exist in the modern world—to bank, to travel, to spend—becomes a revocable privilege, wrapped in a product a corporation or government can delete with a keystroke. This isn't speculative fiction. The pieces are already active worldwide: • Canada froze bank accounts of protestors. • Thailand has launched programmable digital currency. • The EU is outlawing large cash payments by 2027, herding citizens onto digital rails. • China has a live, operational social credit system. • Vietnam reportedly deleted 86 million bank accounts tied to non-compliance. This is the global playbook. Dystopia won't arrive with tanks; it will arrive with app updates and the seductive lure of convenience. Your freedom is becoming conditional. The time to pay attention and push back is not when the system is complete. It is now, while we still can.

The Digital Panopticon is Here, and It’s Being Delivered by Update. A stark warning from a former 17-year Apple insider: the control grid we feared is no longer a dystopian theory. It’s being rolled out globally, not through force, but through convenience. Apple’s new digital ID integration is the latest Trojan horse. The pitch is seamless access. The price is your fundamental autonomy. Once your identity becomes a digital file, it becomes programmable. And once it's programmable, it becomes controllable. Your ability to exist in the modern world—to bank, to travel, to spend—becomes a revocable privilege, wrapped in a product a corporation or government can delete with a keystroke. This isn't speculative fiction. The pieces are already active worldwide: • Canada froze bank accounts of protestors. • Thailand has launched programmable digital currency. • The EU is outlawing large cash payments by 2027, herding citizens onto digital rails. • China has a live, operational social credit system. • Vietnam reportedly deleted 86 million bank accounts tied to non-compliance. This is the global playbook. Dystopia won't arrive with tanks; it will arrive with app updates and the seductive lure of convenience. Your freedom is becoming conditional. The time to pay attention and push back is not when the system is complete. It is now, while we still can.

Camus

73,880 views • 9 months ago

Greetings, Fellow Mad Scientists!🧑‍🔬 After countless experiments, explosions, and maniacal laughter in the Lab, it's time to start peeling back the curtain and reveal the madness we've been concocting over the last 12 months! Enter our latest creation: an MPRPG like no other—where the lines between life, loot, and obliteration blur! 🎮🛠️ In this extraction game, you will scavenge, mine, and yes, obliterate fellow Mad Scientists to collect valuable resources. These resources can be crafted into ammos with devastating powers to bend the game to your will—but beware! If you die with your loot, it becomes the spoils for another ruthless MAD Scientist! Your mission? Survive the battlefield and make it to extraction with your precious haul intact… or risk losing it all. 🤯 Below, witness the early stages of this madness—but hold tight! Over the coming weeks, we’ll release more demented footage of our progress, drop juicy game details, and, of course, reveal how this ties into our token economy, Metacells, and the illustrious Mad Scientists collection. Private beta is coming soon—so sharpen your minds and ready your wallets. 🧪 Special thanks to our partners at BIGA Studios (BIGA), who’ve helped bring this twisted vision to life. Let the REAL Madness Begin! 🧠

Greetings, Fellow Mad Scientists!🧑‍🔬 After countless experiments, explosions, and maniacal laughter in the Lab, it's time to start peeling back the curtain and reveal the madness we've been concocting over the last 12 months! Enter our latest creation: an MPRPG like no other—where the lines between life, loot, and obliteration blur! 🎮🛠️ In this extraction game, you will scavenge, mine, and yes, obliterate fellow Mad Scientists to collect valuable resources. These resources can be crafted into ammos with devastating powers to bend the game to your will—but beware! If you die with your loot, it becomes the spoils for another ruthless MAD Scientist! Your mission? Survive the battlefield and make it to extraction with your precious haul intact… or risk losing it all. 🤯 Below, witness the early stages of this madness—but hold tight! Over the coming weeks, we’ll release more demented footage of our progress, drop juicy game details, and, of course, reveal how this ties into our token economy, Metacells, and the illustrious Mad Scientists collection. Private beta is coming soon—so sharpen your minds and ready your wallets. 🧪 Special thanks to our partners at BIGA Studios (BIGA), who’ve helped bring this twisted vision to life. Let the REAL Madness Begin! 🧠

MAD Metaverse 🧪

30,083 views • 1 year ago

We’re living through a strange inversion: the habits most people can adopt are losing status, while the traits few people can change are becoming the new currency of success. Traits that are widely attainable and reliably linked to success seem to be losing cultural status, while traits that are far less within individual control are becoming more prized. By “attainable,” I mean the traditional, middle-class virtues: showing up on time, keeping your word, working hard, exercising discipline, treating others with respect, staying within the law. These are not evenly distributed, but they are broadly accessible. Almost anyone, regardless of background, can improve at them on the margin. You can be a little more punctual. A little more prepared. A little more conscientious. And those marginal improvements compound. By contrast, many of the traits that now seem to carry greater weight are far less malleable. Physical attractiveness has some room for improvement, but there are clear limits. The same is true of cognitive ability. People can develop skills and knowledge, but underlying aptitude is much harder to move. The ceiling is tighter, and the returns to effort are less predictable. What’s striking is not just this shift, but the accompanying change in how we talk about it. The older virtues are increasingly treated with suspicion or even contempt. Suggest that someone might benefit from working harder or being more disciplined, and the response is often defensive or hostile. The implication is that such advice is naive at best, or unfair at worst—that outcomes are driven primarily by forces outside individual control. Some of that critique is valid. Circumstances matter. But if we lose sight of the habits that remain within reach for most people, we risk devaluing the very behaviors that, historically, have offered the most reliable path to upward mobility.

We’re living through a strange inversion: the habits most people can adopt are losing status, while the traits few people can change are becoming the new currency of success. Traits that are widely attainable and reliably linked to success seem to be losing cultural status, while traits that are far less within individual control are becoming more prized. By “attainable,” I mean the traditional, middle-class virtues: showing up on time, keeping your word, working hard, exercising discipline, treating others with respect, staying within the law. These are not evenly distributed, but they are broadly accessible. Almost anyone, regardless of background, can improve at them on the margin. You can be a little more punctual. A little more prepared. A little more conscientious. And those marginal improvements compound. By contrast, many of the traits that now seem to carry greater weight are far less malleable. Physical attractiveness has some room for improvement, but there are clear limits. The same is true of cognitive ability. People can develop skills and knowledge, but underlying aptitude is much harder to move. The ceiling is tighter, and the returns to effort are less predictable. What’s striking is not just this shift, but the accompanying change in how we talk about it. The older virtues are increasingly treated with suspicion or even contempt. Suggest that someone might benefit from working harder or being more disciplined, and the response is often defensive or hostile. The implication is that such advice is naive at best, or unfair at worst—that outcomes are driven primarily by forces outside individual control. Some of that critique is valid. Circumstances matter. But if we lose sight of the habits that remain within reach for most people, we risk devaluing the very behaviors that, historically, have offered the most reliable path to upward mobility.

Rob Henderson

38,477 views • 4 months ago

HIP-CT JUST TURNED THE HUMAN BRAIN INTO A GOOGLE MAP This isn’t CGI. It’s not AI. It’s HiP-CT - Hierarchical Phase-Contrast Tomography - and it’s quietly breaking anatomy. One scan lets researchers zoom from a full human organ down to micron-scale detail. Blood vessels. Cellular architecture. Structural patterns you normally only see after cutting tissue apart. Except here, nothing is destroyed. The brain footage is the flex: intact hemispheres rendered so clean you can trace vascular networks like street grids. No stains. No dyes. Just synchrotron X-rays, and obscene resolution. Traditional histology gives detail but loses context. MRI keeps context but sacrifices precision. HiP-CT does both. Whole-organ truth, no trade-off. This is a new baseline for studying neurodegeneration, tumors, stroke damage, and developmental disorders. Pathology without guesswork. Anatomy without amputation. Within a decade, HiP-CT-style imaging becomes the gold standard for post-mortem research and drug validation - and forces medicine to rewrite parts of the anatomy textbooks we thought were “settled.” The body didn’t change. Our ability to see it just did. Source: Paul Tafforeau, Interesting World

HIP-CT JUST TURNED THE HUMAN BRAIN INTO A GOOGLE MAP This isn’t CGI. It’s not AI. It’s HiP-CT - Hierarchical Phase-Contrast Tomography - and it’s quietly breaking anatomy. One scan lets researchers zoom from a full human organ down to micron-scale detail. Blood vessels. Cellular architecture. Structural patterns you normally only see after cutting tissue apart. Except here, nothing is destroyed. The brain footage is the flex: intact hemispheres rendered so clean you can trace vascular networks like street grids. No stains. No dyes. Just synchrotron X-rays, and obscene resolution. Traditional histology gives detail but loses context. MRI keeps context but sacrifices precision. HiP-CT does both. Whole-organ truth, no trade-off. This is a new baseline for studying neurodegeneration, tumors, stroke damage, and developmental disorders. Pathology without guesswork. Anatomy without amputation. Within a decade, HiP-CT-style imaging becomes the gold standard for post-mortem research and drug validation - and forces medicine to rewrite parts of the anatomy textbooks we thought were “settled.” The body didn’t change. Our ability to see it just did. Source: Paul Tafforeau, Interesting World

Mario Nawfal

484,036 views • 8 months ago

Why 4-3-3 WON’T WORK for United during AFCON 🔴 AFCON hasn’t started yet, but the problem is already clear. With no Amad and no Mbeumo available, defaulting to a 4-3-3 would be a mistake waiting to happen. That system relies on natural winger profiles to stretch the pitch - and United simply won’t have them during this period. Forcing width that isn’t there only leads to isolation up top and attacks that die on the touchline. ❌📉 A more logical solution is structural: move to a 4-3-2-1 that can easily become a 4-4-2 diamond in possession. Stay narrow, overload the half-spaces, and control games centrally rather than pretending wide threats exist. 🔺🧠 Width should come from the full-backs. Dorgu and Dalot pushing high gives the team stretch without sacrificing central connections 🚀📐 Mount or Bruno operating as a 10 becomes the link … receiving between the lines, dictating tempo, and connecting midfield to attack 🎯 And crucially, Cunha alongside Šeško. No isolation, constant pressure on centre-backs, more second balls, more presence in the box 👥🔥 #mufc #manchesterunited #africancupofnations

Why 4-3-3 WON’T WORK for United during AFCON 🔴 AFCON hasn’t started yet, but the problem is already clear. With no Amad and no Mbeumo available, defaulting to a 4-3-3 would be a mistake waiting to happen. That system relies on natural winger profiles to stretch the pitch - and United simply won’t have them during this period. Forcing width that isn’t there only leads to isolation up top and attacks that die on the touchline. ❌📉 A more logical solution is structural: move to a 4-3-2-1 that can easily become a 4-4-2 diamond in possession. Stay narrow, overload the half-spaces, and control games centrally rather than pretending wide threats exist. 🔺🧠 Width should come from the full-backs. Dorgu and Dalot pushing high gives the team stretch without sacrificing central connections 🚀📐 Mount or Bruno operating as a 10 becomes the link … receiving between the lines, dictating tempo, and connecting midfield to attack 🎯 And crucially, Cunha alongside Šeško. No isolation, constant pressure on centre-backs, more second balls, more presence in the box 👥🔥 #mufc #manchesterunited #africancupofnations

Pythagoras In Boots ⚽️

181,059 views • 8 months ago

This is big. NVIDIA and Apple just unlocked the next level for Vision Pro with CloudXR. Here’s what you need to know: It streams from a PC or the cloud directly to your Vision Pro. No cables. Up to 4K at 120fps. The technology is called dynamic foveated streaming. Your eyes only see in full resolution at the center of your gaze. CloudXR tracks exactly where you’re looking and delivers maximum resolution there. Everything in your periphery gets optimized. The stream stays efficient without you ever noticing a difference. Why does this matter? Vision Pro is already the most advanced spatial computer ever made. But standalone processing has a ceiling. There are workflows that need more compute than any headset can carry. CloudXR removes that ceiling by connecting Vision Pro to the full power of NVIDIA RTX in real time. This is not a workaround. It is a native visionOS integration. Also worth knowing. Gaze data never leaves your device. Not to the app. Not to the server. Developers get the full performance benefit of foveation without ever touching your raw eye tracking data. Privacy built into the architecture. Three industries are already on this: Kia, Rivian, and Volvo are running 1:1 scale design reviews with photorealistic accuracy. Full size vehicle models evaluated in spatial computing before a physical prototype exists. That is a fundamental shift in how design works. Foxconn is walking factory floors digitally, optimizing facilities before construction begins. Switch is managing data center infrastructure through a full digital twin. Companies using this approach are reporting up to 30% improvement in development processes. And sim enthusiasts finally get to cut the cord. iRacing and X-Plane 12 are the first titles. Full GeForce RTX power, streamed wirelessly to Vision Pro, inside your physical space. For developers: one Xcode template, one codebase, deployed across Vision Pro, iPhone, and iPad. And multiple headsets can share the same streamed environment at once. Some fully immersed, others on a tablet. That collaborative layer is what enterprise has been asking for. Coming this spring with visionOS 26.4. It’s wild to think about what this unlocks. The future of spatial computing is incredibly bright. Live from GTC. More coming soon.

This is big. NVIDIA and Apple just unlocked the next level for Vision Pro with CloudXR. Here’s what you need to know: It streams from a PC or the cloud directly to your Vision Pro. No cables. Up to 4K at 120fps. The technology is called dynamic foveated streaming. Your eyes only see in full resolution at the center of your gaze. CloudXR tracks exactly where you’re looking and delivers maximum resolution there. Everything in your periphery gets optimized. The stream stays efficient without you ever noticing a difference. Why does this matter? Vision Pro is already the most advanced spatial computer ever made. But standalone processing has a ceiling. There are workflows that need more compute than any headset can carry. CloudXR removes that ceiling by connecting Vision Pro to the full power of NVIDIA RTX in real time. This is not a workaround. It is a native visionOS integration. Also worth knowing. Gaze data never leaves your device. Not to the app. Not to the server. Developers get the full performance benefit of foveation without ever touching your raw eye tracking data. Privacy built into the architecture. Three industries are already on this: Kia, Rivian, and Volvo are running 1:1 scale design reviews with photorealistic accuracy. Full size vehicle models evaluated in spatial computing before a physical prototype exists. That is a fundamental shift in how design works. Foxconn is walking factory floors digitally, optimizing facilities before construction begins. Switch is managing data center infrastructure through a full digital twin. Companies using this approach are reporting up to 30% improvement in development processes. And sim enthusiasts finally get to cut the cord. iRacing and X-Plane 12 are the first titles. Full GeForce RTX power, streamed wirelessly to Vision Pro, inside your physical space. For developers: one Xcode template, one codebase, deployed across Vision Pro, iPhone, and iPad. And multiple headsets can share the same streamed environment at once. Some fully immersed, others on a tablet. That collaborative layer is what enterprise has been asking for. Coming this spring with visionOS 26.4. It’s wild to think about what this unlocks. The future of spatial computing is incredibly bright. Live from GTC. More coming soon.

Justin Ryan

43,685 views • 5 months ago

$APP's pivot to e-commerce is a very intriguing strategy. The market perceives the entry of non-gaming advertisers as a potential friction point that could crowd out core gaming clients or inflate pricing, but this ignores the massive asymmetry between AppLovin’s reach of over one billion daily active users and its historically thin roster of active advertisers. This imbalance has meant that the vast amount of inventory were previously under-monetized, as the algorithm could only serve gaming ads to users who had no intent to install new games. By layering in e-commerce demand, the platform effectively monetizes this wasted inventory, driving up overall yield and floor prices without cannibalizing the high-intent impressions reserved for gaming clients. This creates a margin-accretive dynamic where the same unit of supply generates significantly higher revenue per user solely through better demand matching. This efficiency gain feeds directly into a data-driven moat that becomes increasingly difficult for competitors to replicate. The flywheel is the introduction of transactional e-commerce data that radically improves the Axon AI model's predictive capabilities for all participants. Unlike app install data, which is binary and relatively sparse, e-commerce purchase data provides immediate high-fidelity signals about user intent and purchasing power. As the model ingests this new layer of behavioral data, its ability to predict conversion improves universally, meaning that gaming advertisers actually benefit from the presence of e-commerce bids through sharper targeting and higher return on ad spend. The rapid 50% week over week growth in the self-service pilot is a great preliminary validation that this automated demand engine is functional. This signals that AppLovin can scale this new vertical with software operating leverage. The requirement for high-production video ads has left out the long tail of millions of small business advertisers who dominate platforms like $META. The launch of generative AI creative tools targets this specific bottleneck, commoditizing the production of high-performing video assets and allowing AppLovin to unlock global SMB demand instantly. If successful, this creates a self-reinforcing liquidity cycle where increased advertiser density leads to better data, which drives superior model performance, which in turn attracts more diverse advertisers. This helps decouple the company's growth trajectory from the cyclicality of the mobile gaming market. Really interesting biz and great CEO.

$APP's pivot to e-commerce is a very intriguing strategy. The market perceives the entry of non-gaming advertisers as a potential friction point that could crowd out core gaming clients or inflate pricing, but this ignores the massive asymmetry between AppLovin’s reach of over one billion daily active users and its historically thin roster of active advertisers. This imbalance has meant that the vast amount of inventory were previously under-monetized, as the algorithm could only serve gaming ads to users who had no intent to install new games. By layering in e-commerce demand, the platform effectively monetizes this wasted inventory, driving up overall yield and floor prices without cannibalizing the high-intent impressions reserved for gaming clients. This creates a margin-accretive dynamic where the same unit of supply generates significantly higher revenue per user solely through better demand matching. This efficiency gain feeds directly into a data-driven moat that becomes increasingly difficult for competitors to replicate. The flywheel is the introduction of transactional e-commerce data that radically improves the Axon AI model's predictive capabilities for all participants. Unlike app install data, which is binary and relatively sparse, e-commerce purchase data provides immediate high-fidelity signals about user intent and purchasing power. As the model ingests this new layer of behavioral data, its ability to predict conversion improves universally, meaning that gaming advertisers actually benefit from the presence of e-commerce bids through sharper targeting and higher return on ad spend. The rapid 50% week over week growth in the self-service pilot is a great preliminary validation that this automated demand engine is functional. This signals that AppLovin can scale this new vertical with software operating leverage. The requirement for high-production video ads has left out the long tail of millions of small business advertisers who dominate platforms like $META. The launch of generative AI creative tools targets this specific bottleneck, commoditizing the production of high-performing video assets and allowing AppLovin to unlock global SMB demand instantly. If successful, this creates a self-reinforcing liquidity cycle where increased advertiser density leads to better data, which drives superior model performance, which in turn attracts more diverse advertisers. This helps decouple the company's growth trajectory from the cyclicality of the mobile gaming market. Really interesting biz and great CEO.

CapexAndChill

29,897 views • 6 months ago