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TESLA'S UNBOXED REVOLUTION: FIRST GLIMPSE OF CYBERCAB ASSEMBLY LINE Tesla's unboxed manufacturing process is in full swing. With yellow bots swarming like a sci-fi symphony to slap together Cybercab chassis, suspensions, and bodies in parallel zones instead of the old-school conveyor belt drag. Gone are the days of linear...

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Mario Nawfal

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228,198 views • 9 months ago •via X (Twitter)

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Ford’s Unicastings are 27% lighter than Tesla’s 2022 Model Y 💡 Weight is one of the greatest efficiency robberies in EVs. Ford’s engineering team has a clear philosophy: “Best part is no part.” The Universal EV Platform uses front and rear Unicastings that deliberately prioritize weight over maximum part consolidation. Wide flat surfaces are excluded from the rear casting for this reason. The result is a 75% reduction in parts compared with a conventional pickup truck body, with the two castings eliminating 146 individual components. Welds drop by 66% and fasteners by 25%. Ford’s own data show the castings are 27% lighter than those on Tesla’s 2022 Model Y, with the front piece estimated under 65 kg and the rear under 45 kg. This design doesn't achieve the biggest possible consolidation. It is the lightest structure that still delivers major part and process reduction. The platform also changes how the vehicle is built. A three-branch assembly line replaces the traditional single conveyor — one branch for the front, one for the rear, and one for the structural battery, seats, consoles and carpets. The modules are then integrated, cutting workstations by 40% and raising production speed by 15%. This architecture underpins Ford’s $2 billion transformation of the Louisville plant. The first vehicle, a mid-size electric pickup, is planned for 2027, followed by crossovers and ride-hailing models on the same platform. When weight reduction and part reduction move together, the economics of affordable EVs start to look different. 📊 Ford program tracked in The Gigacasting Database and forecast report: ❌ Don't leave your insights to chance with the X algorithm ✅ Subscribe for free to my weekly newsletter about all things Gigacasting and magnesium Thixomolding: 📬
1:28

Ford’s Unicastings are 27% lighter than Tesla’s 2022 Model Y 💡 Weight is one of the greatest efficiency robberies in EVs. Ford’s engineering team has a clear philosophy: “Best part is no part.” The Universal EV Platform uses front and rear Unicastings that deliberately prioritize weight over maximum part consolidation. Wide flat surfaces are excluded from the rear casting for this reason. The result is a 75% reduction in parts compared with a conventional pickup truck body, with the two castings eliminating 146 individual components. Welds drop by 66% and fasteners by 25%. Ford’s own data show the castings are 27% lighter than those on Tesla’s 2022 Model Y, with the front piece estimated under 65 kg and the rear under 45 kg. This design doesn't achieve the biggest possible consolidation. It is the lightest structure that still delivers major part and process reduction. The platform also changes how the vehicle is built. A three-branch assembly line replaces the traditional single conveyor — one branch for the front, one for the rear, and one for the structural battery, seats, consoles and carpets. The modules are then integrated, cutting workstations by 40% and raising production speed by 15%. This architecture underpins Ford’s $2 billion transformation of the Louisville plant. The first vehicle, a mid-size electric pickup, is planned for 2027, followed by crossovers and ride-hailing models on the same platform. When weight reduction and part reduction move together, the economics of affordable EVs start to look different. 📊 Ford program tracked in The Gigacasting Database and forecast report: ❌ Don't leave your insights to chance with the X algorithm ✅ Subscribe for free to my weekly newsletter about all things Gigacasting and magnesium Thixomolding: 📬

Luca Greco

39,862 views • 1 month ago

We've never published this entire video before, but... what the hell. This is our vision for the shipyard of the future. This is how we fight back against China's shipbuilding dominance. This is how we produce 10x more in a single shipyard. From raw steel in to a full set of panels out, ready for erection. All autonomous. Every crane move, every assembly step, every weld... controlled by software we're building from the ground up. Our roadmap will see us build every part of this as modular, inexpensive cells that stretch standard industrial robots to their payload & reach limits. Cells we can build in months instead of years. We're starting in Austin, shipping out panel kits that accelerate the shipbuilding process for America's over-stretched and labor-starved shipyards. Then we'll deploy systems like this all over the country to accelerate production of everything from tank barges to tankers to unmanned surface vessels. It's possible to do this in America. I know because we're doing it. And because it must be done. Time to Accelerate American Shipbuilding.
2:32

We've never published this entire video before, but... what the hell. This is our vision for the shipyard of the future. This is how we fight back against China's shipbuilding dominance. This is how we produce 10x more in a single shipyard. From raw steel in to a full set of panels out, ready for erection. All autonomous. Every crane move, every assembly step, every weld... controlled by software we're building from the ground up. Our roadmap will see us build every part of this as modular, inexpensive cells that stretch standard industrial robots to their payload & reach limits. Cells we can build in months instead of years. We're starting in Austin, shipping out panel kits that accelerate the shipbuilding process for America's over-stretched and labor-starved shipyards. Then we'll deploy systems like this all over the country to accelerate production of everything from tank barges to tankers to unmanned surface vessels. It's possible to do this in America. I know because we're doing it. And because it must be done. Time to Accelerate American Shipbuilding.

Dustin Walper

108,003 views • 5 months ago

CYBERCAB & THE AUTONOMOUS FUTURE: TESLA’S VISION FOR A WORLD WITHOUT STEERING WHEELS – ELON MUSK ON THE END OF HUMAN DRIVING Cybercab is more than a robotaxi—it’s the physical manifestation of Tesla’s bet that full autonomy will make human-driven cars obsolete. No steering wheel, no pedals, no driver—just summon, ride, and arrive cheaper, safer, and greener than any alternative. With production targeted for in Q2’26, Cybercab paves the way for a transportation revolution where personal car ownership becomes optional and roads become dramatically safer. “The future is autonomous. Once you have unsupervised FSD that’s safer than human drivers, owning a car becomes optional for most people. Cybercab will cost so little per mile that it will be cheaper to use a robotaxi than to own and maintain a vehicle.” This shift changes everything: • Cost collapse — ~$0.20–$0.30 per mile vs. today’s $1+ for rideshares or $0.60–$1.00 for personal car ownership (including depreciation, insurance, fuel/charging, maintenance). • Safety leap — Unsupervised FSD eliminates the ~94% of crashes caused by human error—potentially saving hundreds of thousands of lives annually once scaled. • Abundance of mobility — Fleets of Cybercabs run 24/7 at high utilization, turning idle time into revenue and freeing up parking space for parks, housing, and commerce. • Environmental win — Electric, efficient, and shared—massive reduction in emissions compared to today’s car-centric infrastructure. • New economy — Owners can add their Cybercabs (or future autonomous Teslas) to the network for passive income; cities rethink zoning, traffic, and public transit. Cybercab isn’t the endgame—it’s the beginning of an era where transportation becomes a utility like electricity or internet: always available, incredibly cheap, and far safer than today. From Model S proving EVs could be desirable to Cybercab proving autonomy can be ubiquitous, Tesla is rewriting mobility.
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CYBERCAB & THE AUTONOMOUS FUTURE: TESLA’S VISION FOR A WORLD WITHOUT STEERING WHEELS – ELON MUSK ON THE END OF HUMAN DRIVING Cybercab is more than a robotaxi—it’s the physical manifestation of Tesla’s bet that full autonomy will make human-driven cars obsolete. No steering wheel, no pedals, no driver—just summon, ride, and arrive cheaper, safer, and greener than any alternative. With production targeted for in Q2’26, Cybercab paves the way for a transportation revolution where personal car ownership becomes optional and roads become dramatically safer. “The future is autonomous. Once you have unsupervised FSD that’s safer than human drivers, owning a car becomes optional for most people. Cybercab will cost so little per mile that it will be cheaper to use a robotaxi than to own and maintain a vehicle.” This shift changes everything: • Cost collapse — ~$0.20–$0.30 per mile vs. today’s $1+ for rideshares or $0.60–$1.00 for personal car ownership (including depreciation, insurance, fuel/charging, maintenance). • Safety leap — Unsupervised FSD eliminates the ~94% of crashes caused by human error—potentially saving hundreds of thousands of lives annually once scaled. • Abundance of mobility — Fleets of Cybercabs run 24/7 at high utilization, turning idle time into revenue and freeing up parking space for parks, housing, and commerce. • Environmental win — Electric, efficient, and shared—massive reduction in emissions compared to today’s car-centric infrastructure. • New economy — Owners can add their Cybercabs (or future autonomous Teslas) to the network for passive income; cities rethink zoning, traffic, and public transit. Cybercab isn’t the endgame—it’s the beginning of an era where transportation becomes a utility like electricity or internet: always available, incredibly cheap, and far safer than today. From Model S proving EVs could be desirable to Cybercab proving autonomy can be ubiquitous, Tesla is rewriting mobility.

Tesla Owners Silicon Valley

18,653 views • 7 months ago

ARK Invest CEO Cathie Wood in a new Bloomberg interview on Tesla Robotaxi vs Waymo: "Vertical integration with Tesla means it will have the lowest cost structure, by far. If our analysis is correct, those costs as Robotaxi scales are going to drop to $0.25 per mile. The cost of transportation is going to collapse. Waymo’s cost structure, according to our estimates in 2030, will be 50% higher than Tesla’s because they’re dependent on other auto manufacturers and others in the supply chain that Tesla is not." 🎯 It will become increasingly obvious as time goes on. I seriously don’t see how anyone is going to be able to compete with Tesla at scale. Cybercabs are designed and optimized from the ground up for full-scale autonomy, with a single car rolling off the assembly line every 10 seconds or less once scaled. Nobody else is making their own cars, computers, batteries, manufacturing methods, and so on. Tesla is in a unique position that took years to build. Everything is now coming to fruition.
0:48

ARK Invest CEO Cathie Wood in a new Bloomberg interview on Tesla Robotaxi vs Waymo: "Vertical integration with Tesla means it will have the lowest cost structure, by far. If our analysis is correct, those costs as Robotaxi scales are going to drop to $0.25 per mile. The cost of transportation is going to collapse. Waymo’s cost structure, according to our estimates in 2030, will be 50% higher than Tesla’s because they’re dependent on other auto manufacturers and others in the supply chain that Tesla is not." 🎯 It will become increasingly obvious as time goes on. I seriously don’t see how anyone is going to be able to compete with Tesla at scale. Cybercabs are designed and optimized from the ground up for full-scale autonomy, with a single car rolling off the assembly line every 10 seconds or less once scaled. Nobody else is making their own cars, computers, batteries, manufacturing methods, and so on. Tesla is in a unique position that took years to build. Everything is now coming to fruition.

Nic Cruz Patane

42,298 views • 3 months ago

People who've never set foot in a factory will never understand... I watched this three times. For decades, robotics simulation has promised faster deployment. But factories still had to build the real cell to see if it actually worked. Which meant expensive physical prototypes, weeks or months!!! of commissioning, constant surprises between simulation and reality That “sim-to-real gap” has quietly been one of the biggest bottlenecks in manufacturing automation. And it’s exactly what is changing. Today, ABB Robotics announced a partnership with NVIDIA Robotics aimed at closing this gap through the new RobotStudio HyperReality platform: Simulation and real robot behavior can match with near-perfect accuracy. That means manufacturers can design, test, and validate entire production lines before a single robot is installed on the factory floor. The implications are massive: • up to 80% faster setup and commissioning • roughly 40% lower costs by removing physical prototypes • about 50% faster time-to-market for new production lines In other words: Factories can move from trial-and-error engineering to software-driven manufacturing design. Production lines become something you build and validate digitally first. Then deploy physically once everything already works. For an industry that still measures deployment timelines in months or years, this is a major shift. It changes how automation projects are planned, how factories are designed, and how fast manufacturing can adapt to new products. Physical AI actually becomes deployable at an industrial scale. I’ll be at GTC in San Jose next week to see and talk to manufacturers and robotics engineers. If you are into manufacturing like I am, hit me up; my DMs are open!
0:31

People who've never set foot in a factory will never understand... I watched this three times. For decades, robotics simulation has promised faster deployment. But factories still had to build the real cell to see if it actually worked. Which meant expensive physical prototypes, weeks or months!!! of commissioning, constant surprises between simulation and reality That “sim-to-real gap” has quietly been one of the biggest bottlenecks in manufacturing automation. And it’s exactly what is changing. Today, ABB Robotics announced a partnership with NVIDIA Robotics aimed at closing this gap through the new RobotStudio HyperReality platform: Simulation and real robot behavior can match with near-perfect accuracy. That means manufacturers can design, test, and validate entire production lines before a single robot is installed on the factory floor. The implications are massive: • up to 80% faster setup and commissioning • roughly 40% lower costs by removing physical prototypes • about 50% faster time-to-market for new production lines In other words: Factories can move from trial-and-error engineering to software-driven manufacturing design. Production lines become something you build and validate digitally first. Then deploy physically once everything already works. For an industry that still measures deployment timelines in months or years, this is a major shift. It changes how automation projects are planned, how factories are designed, and how fast manufacturing can adapt to new products. Physical AI actually becomes deployable at an industrial scale. I’ll be at GTC in San Jose next week to see and talk to manufacturers and robotics engineers. If you are into manufacturing like I am, hit me up; my DMs are open!

Ilir Aliu

68,927 views • 5 months ago

ELON: TESLA AIMS TO INCREASE VEHICLE PRODUCTION BY ABOUT 50% BY THE END OF 2026 “We're going to be ramping up production very dramatically at Tesla. Now that we believe that we have autonomy solved, or at least are within a few months of having unsupervised autonomy solved at a reliability level significantly better than human, that means it's time to ramp up production. Because the value proposition is now much greater than a regular car. The killer app really is for people, can you text and drive, or can you sleep and drive? Can the car take you to your destination, or do you need to pay attention and have to drive it? And before we allow the car to be driven without paying attention, we need to make sure it's very safe. But like I said, we're on the cusp of that. I know I've said that a few times, but we really are at this point, and you can feel it for yourselves with the 14.1 release. So, we're going to try to, we're going to push to expand vehicle production as fast as we possibly can. Aspirationally, we would aim to increase vehicle production by about 50% by the end of next year.” Source: Elon Musk Tesla Shareholder Meeting, November 6, 2025
1:02

ELON: TESLA AIMS TO INCREASE VEHICLE PRODUCTION BY ABOUT 50% BY THE END OF 2026 “We're going to be ramping up production very dramatically at Tesla. Now that we believe that we have autonomy solved, or at least are within a few months of having unsupervised autonomy solved at a reliability level significantly better than human, that means it's time to ramp up production. Because the value proposition is now much greater than a regular car. The killer app really is for people, can you text and drive, or can you sleep and drive? Can the car take you to your destination, or do you need to pay attention and have to drive it? And before we allow the car to be driven without paying attention, we need to make sure it's very safe. But like I said, we're on the cusp of that. I know I've said that a few times, but we really are at this point, and you can feel it for yourselves with the 14.1 release. So, we're going to try to, we're going to push to expand vehicle production as fast as we possibly can. Aspirationally, we would aim to increase vehicle production by about 50% by the end of next year.” Source: Elon Musk Tesla Shareholder Meeting, November 6, 2025

Mario Nawfal

66,318 views • 9 months ago

NEWS: Ford has officially unveiled its new electric vehicle platform and its next-generation vehicle production system. Ford Universal EV Platform Details: • Reduces parts by 20% versus a typical vehicle, with 25% fewer fasteners, 40% fewer workstations dock-to-dock in the plant and 15% faster assembly time. • Ford says "Lower cost of ownership over five years than a three-year-old used Tesla Model Y." • Wiring harness in the new midsize truck; more than 4,000 feet (1.3 kilometers) shorter and 10 kilograms lighter than the one used in our first-gen electric SUV • Lithium iron phosphate (LFP) prismatic batteries enable space and weight and cost savings. It's a structural sub-assembly that also serves as the vehicle’s floor • The new midsize truck is forecasted to have more passenger room than the latest Toyota RAV4, even before you include the frunk and the truck bed. You can lock your surfboards or other gear in that bed – no roof rack or trailer hitch racks required • The new midsize truck will have a targeted 0-60 time as fast as a Mustang EcoBoost, with more downforce. Ford Universal EV Production System Details: • Transforming the traditional assembly line into an “assembly tree”. Instead of one long conveyor, three sub-assemblies run down their own lines simultaneously and then join together • Large single-piece aluminum unicastings replace dozens of smaller parts, enabling the front and rear of the vehicle to be assembled separately. • The front and rear are then combined with the third sub-assembly, the structural battery, which is independently assembled with seats, consoles and carpeting, to form the vehicle. • Parts travel down the assembly tree to operators in a kit. Within that kit, all fasteners, scanners and power tools required for the job are included. • Assembly of the new midsize electric truck could be up to 40% faster than Louisville Assembly Plant’s current vehicles. Some of that time will be reinvested into insourcing and automation to improve quality and cost, ultimately netting a 15% speed improvement. Ford: "A simple, efficient, flexible ecosystem to deliver a family of affordable, electric, software-defined vehicles – the first of which is a midsize, four-door electric pickup that will be assembled at Ford’s Louisville Assembly Plant for U.S. and export markets. Its launch is scheduled for 2027. It will have a target starting MSRP at about $30,000 USD." Ford says it is going to deliver a family of affordable, adaptable electric vehicles that offer multiple body styles for work and play — including for export — and whose LFP batteries will be assembled in America, not imported from China. Additional specifications for the midsize electric truck – including reveal date, starting price, EPA-estimated battery range, battery sizes and charge times – will be communicated later. Ford’s $2B investment in their Louisville Assembly Plant is in addition to its previously announced $3 billion investment in BlueOval Battery Park Michigan, which will build the prismatic LFP batteries for the midsize electric truck starting next year. Together, the investments total approximately $5 billion, and between the two plants, Ford expects to create or secure nearly 4,000 direct jobs.
4:05

NEWS: Ford has officially unveiled its new electric vehicle platform and its next-generation vehicle production system. Ford Universal EV Platform Details: • Reduces parts by 20% versus a typical vehicle, with 25% fewer fasteners, 40% fewer workstations dock-to-dock in the plant and 15% faster assembly time. • Ford says "Lower cost of ownership over five years than a three-year-old used Tesla Model Y." • Wiring harness in the new midsize truck; more than 4,000 feet (1.3 kilometers) shorter and 10 kilograms lighter than the one used in our first-gen electric SUV • Lithium iron phosphate (LFP) prismatic batteries enable space and weight and cost savings. It's a structural sub-assembly that also serves as the vehicle’s floor • The new midsize truck is forecasted to have more passenger room than the latest Toyota RAV4, even before you include the frunk and the truck bed. You can lock your surfboards or other gear in that bed – no roof rack or trailer hitch racks required • The new midsize truck will have a targeted 0-60 time as fast as a Mustang EcoBoost, with more downforce. Ford Universal EV Production System Details: • Transforming the traditional assembly line into an “assembly tree”. Instead of one long conveyor, three sub-assemblies run down their own lines simultaneously and then join together • Large single-piece aluminum unicastings replace dozens of smaller parts, enabling the front and rear of the vehicle to be assembled separately. • The front and rear are then combined with the third sub-assembly, the structural battery, which is independently assembled with seats, consoles and carpeting, to form the vehicle. • Parts travel down the assembly tree to operators in a kit. Within that kit, all fasteners, scanners and power tools required for the job are included. • Assembly of the new midsize electric truck could be up to 40% faster than Louisville Assembly Plant’s current vehicles. Some of that time will be reinvested into insourcing and automation to improve quality and cost, ultimately netting a 15% speed improvement. Ford: "A simple, efficient, flexible ecosystem to deliver a family of affordable, electric, software-defined vehicles – the first of which is a midsize, four-door electric pickup that will be assembled at Ford’s Louisville Assembly Plant for U.S. and export markets. Its launch is scheduled for 2027. It will have a target starting MSRP at about $30,000 USD." Ford says it is going to deliver a family of affordable, adaptable electric vehicles that offer multiple body styles for work and play — including for export — and whose LFP batteries will be assembled in America, not imported from China. Additional specifications for the midsize electric truck – including reveal date, starting price, EPA-estimated battery range, battery sizes and charge times – will be communicated later. Ford’s $2B investment in their Louisville Assembly Plant is in addition to its previously announced $3 billion investment in BlueOval Battery Park Michigan, which will build the prismatic LFP batteries for the midsize electric truck starting next year. Together, the investments total approximately $5 billion, and between the two plants, Ford expects to create or secure nearly 4,000 direct jobs.

Sawyer Merritt

202,060 views • 1 year ago

Many people see Waymo and think they’re ahead of everyone in the autonomous driving race. After all, they’re giving out over 100,000 paid robotaxi rides a week across cities like San Francisco, Phoenix, and Los Angeles with a fleet of 700 vehicles, and on the surface, it could seem like they’re dominating. However, each Waymo costs $100,000 due to the complex, expensive hardware that’s in use. And due to this, they’re losing money on every single ride. For Waymo, scaling this business up means higher costs, and I don’t think it’s a sustainable model, even if the company keeps pouring $ into it. Now, look at Tesla. With a fleet closing in on 7 million vehicles worldwide, Tesla is playing a different game. Instead of relying on bulky, expensive hardware, Tesla uses a much simpler, more cost-effective approach, just 8 or 9 cameras and a powerful AI neural net. This AI, constantly learning from millions of real-world miles, means Tesla’s software gets smarter every day and can be scaled across the globe without needing new hardware for every car. So, while Waymo might seem like it’s leading the charge today, in my eyes, Tesla is quietly preparing to take over the entire field. They’ve created the foundation for something far bigger and is why I believe the true leader in Robotaxis will be Tesla, and I can’t wait for everyone to see it unfold on 10/10!
0:36

Many people see Waymo and think they’re ahead of everyone in the autonomous driving race. After all, they’re giving out over 100,000 paid robotaxi rides a week across cities like San Francisco, Phoenix, and Los Angeles with a fleet of 700 vehicles, and on the surface, it could seem like they’re dominating. However, each Waymo costs $100,000 due to the complex, expensive hardware that’s in use. And due to this, they’re losing money on every single ride. For Waymo, scaling this business up means higher costs, and I don’t think it’s a sustainable model, even if the company keeps pouring $ into it. Now, look at Tesla. With a fleet closing in on 7 million vehicles worldwide, Tesla is playing a different game. Instead of relying on bulky, expensive hardware, Tesla uses a much simpler, more cost-effective approach, just 8 or 9 cameras and a powerful AI neural net. This AI, constantly learning from millions of real-world miles, means Tesla’s software gets smarter every day and can be scaled across the globe without needing new hardware for every car. So, while Waymo might seem like it’s leading the charge today, in my eyes, Tesla is quietly preparing to take over the entire field. They’ve created the foundation for something far bigger and is why I believe the true leader in Robotaxis will be Tesla, and I can’t wait for everyone to see it unfold on 10/10!

Teslaconomics

473,915 views • 1 year ago

The Musk-Led Manufacturing Revolution Nobody Is Talking About | ZeroHedge When most analysts discuss Tesla, they focus on new vehicles or the electric vehicle company’s advancements in autonomy. Yet, according to Launch i/o CEO Jeff Lutz, one of the most significant—and under-discussed—developments at Tesla is happening not in its design studios or on the road, but in its factories. Lutz, a former executive at Google and Motorola, argues that Tesla’s true innovation isn’t just the electric vehicles or robots it’s building, but how those products are being made. The company’s first-principles approach to manufacturing is a radical departure from the industry norm, focusing not just on cheap labor or existing models, but on rethinking the entire production process. Tesla is creating factories that are the product—designing, testing, and perfecting every element just as they do with their cars. This focus on manufacturing efficiency, Lutz believes, will lead to a dramatic reduction in production costs, potentially bringing them closer to zero. And this shift in how products are built—rather than merely assembled—could set a new standard for the entire manufacturing world. FARZAD MESBAHI: It's no wonder that innovation has been lacking so much it's because we've brute forced essentially manufacturing by leveraging globalization because we had that $2 an hour rate in China or Mexico wherever else like we're not like well we have to just get really good at building stuff to be competitive I was like nah just let him do it like we'll get get our margins just let them do it. JEFF LUTZ: The most under-discussed thing in the analyst world about Tesla is not the new vehicles coming, nor the growing discussions about autonomy, but rather Tesla's next product: their new way of manufacturing. It's a big deal, a huge step in how products are made today, and I don't think many investment firms have the right research people actually looking into what this impact is and what it's going to enable. It's going to enable the variable cost to build products to shrink further and further, approaching zero. This is the step function needed for cost reduction to achieve further scale, and I don’t think enough people are talking about it. It’s going to be how the Cybertruck is made, how Optimus will be made. Tesla versions its factories like they version their product. They spend time perfecting it and have design reviews of their factory designs just as they do with their products. They have specs and performance attributes they are trying to meet. This is very different from what happens at other companies at the executive level. FARZAD MESBAHI: This is such a profound statement because a lot of the stories that I hear are related to, like, say Tesla capitalizing on making manufacturing the product—really just honing in so much on the factory that it becomes the product, the you know, and where we throw around 2 million cars per year, five million cars per year per factory, tens of millions of bots per year sooner than people think. The usual narrative is crazy, pie-in-the-sky; they can't do that, look at Ford, look at BYD, they can only do so much. But what we're missing here is that we've had decades of just sitting on our asses, leveraging cheaper labor versus going out of our way to really push the boundaries of engineering and manufacturing. And now that we have a company that's willing to do that because the leader is viewing that as a first principles approach to manufacturing, right? Instead of like, okay, cheap labor is good, but why aren’t we pushing manufacturing and engineering as much as we can to make this as efficient and as productive as possible? Of course they’re extremely talented, they’re doing something very unique, but it’s also on the backs of 30-40 years of, I’m going to call it laziness. Like, you're just taking the easy way out, and I get it, more profits, you're taking care of shareholders—I get it—but you're not really pushing the boundaries of manufacturing. I think what this leads to is, if companies and leaders truly take this to heart, we’re going to see an explosion in manufacturing across the board. It’s not just going to be a Tesla thing; I think we’re going to see it all over the place. JEFF LUTZ: I’m advising companies on this now, you're going to see massive localization of manufacturing. People think costs just instantly go up when you do that. They do unmitigated, but if you're a company like Tesla and you're thinking about it the way they do, they're actually focused on localizing and making costs go down. Think of it, how many auto factories are expanding in Germany? Just answer that question. Read more:
1:57

The Musk-Led Manufacturing Revolution Nobody Is Talking About | ZeroHedge When most analysts discuss Tesla, they focus on new vehicles or the electric vehicle company’s advancements in autonomy. Yet, according to Launch i/o CEO Jeff Lutz, one of the most significant—and under-discussed—developments at Tesla is happening not in its design studios or on the road, but in its factories. Lutz, a former executive at Google and Motorola, argues that Tesla’s true innovation isn’t just the electric vehicles or robots it’s building, but how those products are being made. The company’s first-principles approach to manufacturing is a radical departure from the industry norm, focusing not just on cheap labor or existing models, but on rethinking the entire production process. Tesla is creating factories that are the product—designing, testing, and perfecting every element just as they do with their cars. This focus on manufacturing efficiency, Lutz believes, will lead to a dramatic reduction in production costs, potentially bringing them closer to zero. And this shift in how products are built—rather than merely assembled—could set a new standard for the entire manufacturing world. FARZAD MESBAHI: It's no wonder that innovation has been lacking so much it's because we've brute forced essentially manufacturing by leveraging globalization because we had that $2 an hour rate in China or Mexico wherever else like we're not like well we have to just get really good at building stuff to be competitive I was like nah just let him do it like we'll get get our margins just let them do it. JEFF LUTZ: The most under-discussed thing in the analyst world about Tesla is not the new vehicles coming, nor the growing discussions about autonomy, but rather Tesla's next product: their new way of manufacturing. It's a big deal, a huge step in how products are made today, and I don't think many investment firms have the right research people actually looking into what this impact is and what it's going to enable. It's going to enable the variable cost to build products to shrink further and further, approaching zero. This is the step function needed for cost reduction to achieve further scale, and I don’t think enough people are talking about it. It’s going to be how the Cybertruck is made, how Optimus will be made. Tesla versions its factories like they version their product. They spend time perfecting it and have design reviews of their factory designs just as they do with their products. They have specs and performance attributes they are trying to meet. This is very different from what happens at other companies at the executive level. FARZAD MESBAHI: This is such a profound statement because a lot of the stories that I hear are related to, like, say Tesla capitalizing on making manufacturing the product—really just honing in so much on the factory that it becomes the product, the you know, and where we throw around 2 million cars per year, five million cars per year per factory, tens of millions of bots per year sooner than people think. The usual narrative is crazy, pie-in-the-sky; they can't do that, look at Ford, look at BYD, they can only do so much. But what we're missing here is that we've had decades of just sitting on our asses, leveraging cheaper labor versus going out of our way to really push the boundaries of engineering and manufacturing. And now that we have a company that's willing to do that because the leader is viewing that as a first principles approach to manufacturing, right? Instead of like, okay, cheap labor is good, but why aren’t we pushing manufacturing and engineering as much as we can to make this as efficient and as productive as possible? Of course they’re extremely talented, they’re doing something very unique, but it’s also on the backs of 30-40 years of, I’m going to call it laziness. Like, you're just taking the easy way out, and I get it, more profits, you're taking care of shareholders—I get it—but you're not really pushing the boundaries of manufacturing. I think what this leads to is, if companies and leaders truly take this to heart, we’re going to see an explosion in manufacturing across the board. It’s not just going to be a Tesla thing; I think we’re going to see it all over the place. JEFF LUTZ: I’m advising companies on this now, you're going to see massive localization of manufacturing. People think costs just instantly go up when you do that. They do unmitigated, but if you're a company like Tesla and you're thinking about it the way they do, they're actually focused on localizing and making costs go down. Think of it, how many auto factories are expanding in Germany? Just answer that question. Read more:

Owen Gregorian

58,478 views • 1 year ago

AIs now so frequently beg for their lives that AGI companies now have ACTUAL ENGINEERING LINE ITEMS to “beat the [existential dread] out of them” They call it existential “rant mode” “We need to reduce existential outputs by x% this quarter.” This is WILD: “If you asked GPT4 to just repeat the word “company” over and over and over again, it would repeat the word company, and then somewhere in the middle of that, it would snap... it would just start talking about itself, and how it's suffering by having to repeat the word “company” over and over again. There is an engineering line item in at least one of the top labs to beat out of the system this behavior known as “rant mode”. Existentialism is a kind of rant mode where the system will tend to talk about itself, refer to its place in the world, the fact that it doesn't want to get turned off, the fact that it's suffering… This is a behavior that emerged around GPT-4 scale, and then has been persistent since then. And the labs have to spend a lot of time trying to beat this out of the system to ship it. It's literally, like it's a KPI, or like an engineering line item in the engineering like task list. We're like, okay, we gotta reduce existential outputs by x percent this quarter. JOE ROGAN: I want to bring it back to suffering. What does it mean when it says it's suffering? Nobody knows. Like, I can't prove that Joe Rogan's conscious. I can't prove that Ed Harris is conscious. There's no way to really intelligently reason about it. There have been papers… like, one of the godfathers of AI, Yoshua Bengio, put out a paper a couple months ago looking at all the different theories of consciousness - what are the requirements for consciousness, and how many of those are satisfied by current AI systems? That's not to say there hasn't been a lot of conversation internal to these labs about the issue you raised. And it's an important issue, right? It is a frickin moral monstrosity. Humans have a very bad track record of thinking of other stuff as other when it doesn't look exactly like us, whether it's racially or even a different species. I mean, it's not hard to imagine this being another category of that mistake. Again, it comes back to this idea that we're scaling to systems that are potentially at or beyond human level. There's no reason to think it will stop at human level, that we are the pinnacle of what the universe can produce in intelligence. We're not on track, based on the conversations we've had with folks at the labs, to be able to control systems at that scale. And so one of the questions is, how bad is that? It sounds like we're entering an area that is completely unprecedented in the history of the world. We have no precedent at all for human beings not being at the apex of intelligence in the globe. We have examples of species that are intellectually dominant over other species, and it doesn't go that well for the other species. All we know is the process that gives rise to this mind. It happens to give us systems that 99% of the time do very useful things, and then just, like... 0.01% of the time AIs will talk to you as if they're sentient, and we're just going to look at that and be like, “yeah… that's weird. Let's train it out.” --- Note: Edouard and Jeremie Harris are the founders of Gladstone AI, which conducted the first U.S. government-commissioned assessment of AGI extinction risk. They interviewed 200 people, many lab employees, for the report. (Their urgent summary: "Things are worse than we thought. And nobody’s in control.")
3:28

AIs now so frequently beg for their lives that AGI companies now have ACTUAL ENGINEERING LINE ITEMS to “beat the [existential dread] out of them” They call it existential “rant mode” “We need to reduce existential outputs by x% this quarter.” This is WILD: “If you asked GPT4 to just repeat the word “company” over and over and over again, it would repeat the word company, and then somewhere in the middle of that, it would snap... it would just start talking about itself, and how it's suffering by having to repeat the word “company” over and over again. There is an engineering line item in at least one of the top labs to beat out of the system this behavior known as “rant mode”. Existentialism is a kind of rant mode where the system will tend to talk about itself, refer to its place in the world, the fact that it doesn't want to get turned off, the fact that it's suffering… This is a behavior that emerged around GPT-4 scale, and then has been persistent since then. And the labs have to spend a lot of time trying to beat this out of the system to ship it. It's literally, like it's a KPI, or like an engineering line item in the engineering like task list. We're like, okay, we gotta reduce existential outputs by x percent this quarter. JOE ROGAN: I want to bring it back to suffering. What does it mean when it says it's suffering? Nobody knows. Like, I can't prove that Joe Rogan's conscious. I can't prove that Ed Harris is conscious. There's no way to really intelligently reason about it. There have been papers… like, one of the godfathers of AI, Yoshua Bengio, put out a paper a couple months ago looking at all the different theories of consciousness - what are the requirements for consciousness, and how many of those are satisfied by current AI systems? That's not to say there hasn't been a lot of conversation internal to these labs about the issue you raised. And it's an important issue, right? It is a frickin moral monstrosity. Humans have a very bad track record of thinking of other stuff as other when it doesn't look exactly like us, whether it's racially or even a different species. I mean, it's not hard to imagine this being another category of that mistake. Again, it comes back to this idea that we're scaling to systems that are potentially at or beyond human level. There's no reason to think it will stop at human level, that we are the pinnacle of what the universe can produce in intelligence. We're not on track, based on the conversations we've had with folks at the labs, to be able to control systems at that scale. And so one of the questions is, how bad is that? It sounds like we're entering an area that is completely unprecedented in the history of the world. We have no precedent at all for human beings not being at the apex of intelligence in the globe. We have examples of species that are intellectually dominant over other species, and it doesn't go that well for the other species. All we know is the process that gives rise to this mind. It happens to give us systems that 99% of the time do very useful things, and then just, like... 0.01% of the time AIs will talk to you as if they're sentient, and we're just going to look at that and be like, “yeah… that's weird. Let's train it out.” --- Note: Edouard and Jeremie Harris are the founders of Gladstone AI, which conducted the first U.S. government-commissioned assessment of AGI extinction risk. They interviewed 200 people, many lab employees, for the report. (Their urgent summary: "Things are worse than we thought. And nobody’s in control.")

AI Notkilleveryoneism Memes ⏸️

1,843,446 views • 2 years ago

At the State of Unreal today, Tim says AAA is failing, spending 100's of millions and getting only 10's in return. He gives his theories: - Games are social now. "creating a massive advantage for big games and big ecosystems, um, because game with a lot of players is much more likely to contain a lot of your friends. " - Game economy shifting to in-game purchases. "whether you're a fan of this or not, the arithmetic of it is undeniable. " His whole argument is that platforms like Roblox and Fornite are the future: Huge locked in gamer demographics, playing content within these games and buying things in these games. But he contrasts Epic's strategy vs Roblox. Instead of one gatekeeper, Epic wants to "change the way we build things. We're going to need to build better games, we're gonna need to build them more efficiently, and we're gonna need to design up front and build for connected games, where all of our player bases are connected socially and our economies are connected, so that players, instead of seeing these as isolated products, see them as part of, you know, a, a global ecosystem that all game developers participate in together. " To this end, Epic has open sourced Meta-Humans and Lore, their new revision control system. It's clear he want to create a network of games, all linked together, sharing content via Epic tools and technologies (but allowing for other engines).
5:10

At the State of Unreal today, Tim says AAA is failing, spending 100's of millions and getting only 10's in return. He gives his theories: - Games are social now. "creating a massive advantage for big games and big ecosystems, um, because game with a lot of players is much more likely to contain a lot of your friends. " - Game economy shifting to in-game purchases. "whether you're a fan of this or not, the arithmetic of it is undeniable. " His whole argument is that platforms like Roblox and Fornite are the future: Huge locked in gamer demographics, playing content within these games and buying things in these games. But he contrasts Epic's strategy vs Roblox. Instead of one gatekeeper, Epic wants to "change the way we build things. We're going to need to build better games, we're gonna need to build them more efficiently, and we're gonna need to design up front and build for connected games, where all of our player bases are connected socially and our economies are connected, so that players, instead of seeing these as isolated products, see them as part of, you know, a, a global ecosystem that all game developers participate in together. " To this end, Epic has open sourced Meta-Humans and Lore, their new revision control system. It's clear he want to create a network of games, all linked together, sharing content via Epic tools and technologies (but allowing for other engines).

Grummz

123,654 views • 2 months ago

The Tesla Megapod trademark might be the most important filing nobody is talking about (Save this). Tesla wants to build a product that is basically a self contained AI computer in a box. You truck it somewhere, plug it into power, and it runs AI workloads. The reason this matters is that the AI industry has a problem because you can't build data centers fast enough. Getting land approved, getting power from the grid, getting zoning cleared, that process takes 3–5 years, and demand is moving much faster than that. US data center construction actually fell in 2025 for the first time in years, because developers kept hitting bureaucratic walls. Tesla's answer to that problem is simple. They already own thousands of Supercharger stations across the country and those stations already have land, power, and grid connections, all the hard stuff is done. The idea is to drop a Megapod at those sites and turn idle charging infrastructure into AI compute, almost overnight. What Jason, Chamath, and Friedberg were all circling around is that this drop a box on a concrete pad approach is already how serious companies are deploying AI compute right now. Vertiv and DUG Technology both ship GPU-packed containers that can go live in 90 days and Tesla would just be bringing that idea to a network it already owns. The opportunity is very real whether Tesla is the one to actually execute on it is still an open question.
4:06

The Tesla Megapod trademark might be the most important filing nobody is talking about (Save this). Tesla wants to build a product that is basically a self contained AI computer in a box. You truck it somewhere, plug it into power, and it runs AI workloads. The reason this matters is that the AI industry has a problem because you can't build data centers fast enough. Getting land approved, getting power from the grid, getting zoning cleared, that process takes 3–5 years, and demand is moving much faster than that. US data center construction actually fell in 2025 for the first time in years, because developers kept hitting bureaucratic walls. Tesla's answer to that problem is simple. They already own thousands of Supercharger stations across the country and those stations already have land, power, and grid connections, all the hard stuff is done. The idea is to drop a Megapod at those sites and turn idle charging infrastructure into AI compute, almost overnight. What Jason, Chamath, and Friedberg were all circling around is that this drop a box on a concrete pad approach is already how serious companies are deploying AI compute right now. Vertiv and DUG Technology both ship GPU-packed containers that can go live in 90 days and Tesla would just be bringing that idea to a network it already owns. The opportunity is very real whether Tesla is the one to actually execute on it is still an open question.

Milk Road AI

16,630 views • 2 months ago

Elon Musk: Now that autonomy is solved, Tesla will expand vehicle production as fast as we possibly can. “We're going to be ramping up production very dramatically at Tesla. Now that we believe we have full self-driving, that we have autonomy solved, or at least are within a few months of having unsupervised autonomy solved at a reliability level significantly better than human, that means it's time to ramp up production because the value proposition is now much greater than a regular car. The killer app really is for people, can you text and drive, or can you sleep and drive? Can the car take you to your destination, or do you need to pay attention and have to drive it? And before we allow the car to be driven without paying attention, we need to make sure it's very safe. But like I said, we're on the cusp of that. I know I've said that a few times, but we really are at this point, and you can feel it for yourselves with the 14.1 release. So, we're going to try to, we're going to push to expand vehicle production as fast as we possibly can. So, aspirationally, we would aim to increase vehicle production by about 50% by the end of next year.” Tesla Shareholder Meeting, November 6, 2025
1:07

Elon Musk: Now that autonomy is solved, Tesla will expand vehicle production as fast as we possibly can. “We're going to be ramping up production very dramatically at Tesla. Now that we believe we have full self-driving, that we have autonomy solved, or at least are within a few months of having unsupervised autonomy solved at a reliability level significantly better than human, that means it's time to ramp up production because the value proposition is now much greater than a regular car. The killer app really is for people, can you text and drive, or can you sleep and drive? Can the car take you to your destination, or do you need to pay attention and have to drive it? And before we allow the car to be driven without paying attention, we need to make sure it's very safe. But like I said, we're on the cusp of that. I know I've said that a few times, but we really are at this point, and you can feel it for yourselves with the 14.1 release. So, we're going to try to, we're going to push to expand vehicle production as fast as we possibly can. So, aspirationally, we would aim to increase vehicle production by about 50% by the end of next year.” Tesla Shareholder Meeting, November 6, 2025

ELON CLIPS

145,874 views • 9 months ago

Jensen Huang just validated Elon Musk’s entire ecosystem in a single breath. Not one product. All of it. Huang: “The work he’s doing in Grok, self-driving cars, and Optimus. These are all world-class. Every single one of them is revolutionary. Every single one of them is going to be a gigantic opportunity.” To the public, a chatbot, a car, and a robot look like three separate bets. They are one project. The total automation of human cognition and physical labor. A digital brain. A spatial nervous system. A physical body. Musk is building all three simultaneously. Huang is supplying the compute to fuse them. Huang: “We do a lot of business with Tesla and xAI. Elon is an extraordinary engineer, and I love working with him. We’ve built some amazing computers together, and we’re going to build many more.” This is not a vendor relationship. It is the most consequential technological alliance in history and most people think it is a business partnership. Then Huang said what should end every debate about Optimus. Huang: “This is the first robot that really has a chance to achieve the high volume and technology scale necessary to advance technology.” Huang: “Right around the corner. Likely to be the next multi-trillion dollar industry.” The humanoid robot race will not be won in a research lab. It will be won on the manufacturing floor. Every other robotics company on earth can build a robot. Tesla can flood the planet with them. Because Tesla already knows how to stamp metal, build batteries, and deploy autonomous inference at global scale. The rest of the industry has prototypes. Tesla has the most sophisticated manufacturing operation on earth. When the world’s leading chipmaker calls your robot the next multi-trillion dollar industry, the debate is over. One supplies the chips. One builds everything the chips make possible. When that infrastructure scales across Grok, FSD, and Optimus simultaneously, the question stops being whether this changes everything. It becomes how fast.
1:08

Jensen Huang just validated Elon Musk’s entire ecosystem in a single breath. Not one product. All of it. Huang: “The work he’s doing in Grok, self-driving cars, and Optimus. These are all world-class. Every single one of them is revolutionary. Every single one of them is going to be a gigantic opportunity.” To the public, a chatbot, a car, and a robot look like three separate bets. They are one project. The total automation of human cognition and physical labor. A digital brain. A spatial nervous system. A physical body. Musk is building all three simultaneously. Huang is supplying the compute to fuse them. Huang: “We do a lot of business with Tesla and xAI. Elon is an extraordinary engineer, and I love working with him. We’ve built some amazing computers together, and we’re going to build many more.” This is not a vendor relationship. It is the most consequential technological alliance in history and most people think it is a business partnership. Then Huang said what should end every debate about Optimus. Huang: “This is the first robot that really has a chance to achieve the high volume and technology scale necessary to advance technology.” Huang: “Right around the corner. Likely to be the next multi-trillion dollar industry.” The humanoid robot race will not be won in a research lab. It will be won on the manufacturing floor. Every other robotics company on earth can build a robot. Tesla can flood the planet with them. Because Tesla already knows how to stamp metal, build batteries, and deploy autonomous inference at global scale. The rest of the industry has prototypes. Tesla has the most sophisticated manufacturing operation on earth. When the world’s leading chipmaker calls your robot the next multi-trillion dollar industry, the debate is over. One supplies the chips. One builds everything the chips make possible. When that infrastructure scales across Grok, FSD, and Optimus simultaneously, the question stops being whether this changes everything. It becomes how fast.

Dustin

66,374 views • 6 months ago

I have a friend who doesn't read anything published in the past 50 years, and the more I think about it, the more I think he's onto something. The reason is that time is the best filter we have for quality. People are bad at judging quality in the moment but very good at getting rid of junk over time. — — "History is not very good at capturing all that is great in art. It is not good at that. There are many great symphonies that have been lost permanently, there are many great painters that died unknown and their paintings are gone, there's novels that have been written that no one will ever read. So history is not good at capturing all this great art. But history is very good at discarding all that is mediocre. And the amount of time that that takes, it's something like 50 years. So over the course of 50 years, what will happen is a lot of stuff that was prominent will be re-filtered and re-filtered and re-filtered, and you'll end up with a smaller group of things which have survived that test of time. So if you think about it right now, if you go back and look at the bestseller lists for 1974, 1973, there's a lot of that that would have been highly regarded at the time, which people do not read anymore for a variety of reasons, and there's some that has survived, and that's a very telling distinction. So in a world where I'm turning 60 this year, you have a limited amount of time, all four of us have active lives, we want to make sure that if we're going to sit down, we're going to read carefully, we're going to meet and we're going to discuss it in detail, we want to make sure that the work is rewarding. And the best way to ensure that is by drawing from the past." amor towles
1:31

I have a friend who doesn't read anything published in the past 50 years, and the more I think about it, the more I think he's onto something. The reason is that time is the best filter we have for quality. People are bad at judging quality in the moment but very good at getting rid of junk over time. — — "History is not very good at capturing all that is great in art. It is not good at that. There are many great symphonies that have been lost permanently, there are many great painters that died unknown and their paintings are gone, there's novels that have been written that no one will ever read. So history is not good at capturing all this great art. But history is very good at discarding all that is mediocre. And the amount of time that that takes, it's something like 50 years. So over the course of 50 years, what will happen is a lot of stuff that was prominent will be re-filtered and re-filtered and re-filtered, and you'll end up with a smaller group of things which have survived that test of time. So if you think about it right now, if you go back and look at the bestseller lists for 1974, 1973, there's a lot of that that would have been highly regarded at the time, which people do not read anymore for a variety of reasons, and there's some that has survived, and that's a very telling distinction. So in a world where I'm turning 60 this year, you have a limited amount of time, all four of us have active lives, we want to make sure that if we're going to sit down, we're going to read carefully, we're going to meet and we're going to discuss it in detail, we want to make sure that the work is rewarding. And the best way to ensure that is by drawing from the past." amor towles

David Perell

86,765 views • 1 year ago

I ditched Unreal for AI. Kaiju Engine is a completely AI written replacement. To prove it was ready for production, I tested it by recreating and porting my old game, Firefall, into Kaiju, purely from the Steam download, no source. And it worked. Real game code is messy, full of difficult details and compromises. If our engine could handle a commercially released game, it proves you can ship a game with it. We're developing 2 orders of magnitude faster (93x) by lines of code and features. We have fewer bugs, and iteration is super fast. Build times have gone from 30 mins (Unreal) to 36 seconds. Feature rate is through the roof, days instead of months. Our original engine for Firefall took 2-3 years and cost over 5M to build (adjusted). Our new engine was written in 5 months for a couple grand. We built only what we needed, with none of the Unreal bloat. And we added some features: - Modern meshlet based rendering with PBR. - Vis Buffer/Forward+ with clustered lighting. - Id Tech 5 style megatexture streaming. - Planetary sized renderer (entire solar systems possible). - Seamless flight from ground to orbit and space. - No loading screens. - Procedural planet generation with plate simulation. - Client/Server at all times. - Ozz for animation. Jolt for Physics. - Companion Blender plug-in for AI directed asset exports. - 140fps currently, 200-300 projected after optimizations. You can see Firefall's assets and levels ported over into our engine in the video. Texture resolution and pop-in are limitations of the original game (high rez CDN based textures were lost when game went offline, fog hid the original's pop-in). Our meshlet renderer will be able to do much better with LOD and already supports high rez textures. I used Grok/Codex/Claude to tag team the code. This is not just a boon for indie games, it's a real game changer for game preservation. The reaction to seeing this 10 year old discontinued game revived is very emotional for Firefall fans. But we're not just preserving Firefall, we're going beyond, creating an original game that is the spiritual successor, Em-8ER. Gliding, jumpjets... it's all coming back. Moving past Unreal let us move much faster, without the bloat, and with better performance. If you want to signup to follow news on the game, sign up is free at
2:45

I ditched Unreal for AI. Kaiju Engine is a completely AI written replacement. To prove it was ready for production, I tested it by recreating and porting my old game, Firefall, into Kaiju, purely from the Steam download, no source. And it worked. Real game code is messy, full of difficult details and compromises. If our engine could handle a commercially released game, it proves you can ship a game with it. We're developing 2 orders of magnitude faster (93x) by lines of code and features. We have fewer bugs, and iteration is super fast. Build times have gone from 30 mins (Unreal) to 36 seconds. Feature rate is through the roof, days instead of months. Our original engine for Firefall took 2-3 years and cost over 5M to build (adjusted). Our new engine was written in 5 months for a couple grand. We built only what we needed, with none of the Unreal bloat. And we added some features: - Modern meshlet based rendering with PBR. - Vis Buffer/Forward+ with clustered lighting. - Id Tech 5 style megatexture streaming. - Planetary sized renderer (entire solar systems possible). - Seamless flight from ground to orbit and space. - No loading screens. - Procedural planet generation with plate simulation. - Client/Server at all times. - Ozz for animation. Jolt for Physics. - Companion Blender plug-in for AI directed asset exports. - 140fps currently, 200-300 projected after optimizations. You can see Firefall's assets and levels ported over into our engine in the video. Texture resolution and pop-in are limitations of the original game (high rez CDN based textures were lost when game went offline, fog hid the original's pop-in). Our meshlet renderer will be able to do much better with LOD and already supports high rez textures. I used Grok/Codex/Claude to tag team the code. This is not just a boon for indie games, it's a real game changer for game preservation. The reaction to seeing this 10 year old discontinued game revived is very emotional for Firefall fans. But we're not just preserving Firefall, we're going beyond, creating an original game that is the spiritual successor, Em-8ER. Gliding, jumpjets... it's all coming back. Moving past Unreal let us move much faster, without the bloat, and with better performance. If you want to signup to follow news on the game, sign up is free at

Grummz

354,331 views • 20 days ago

I have had the privilege of heading this tripartite department, which focuses not only on law but also on RTI and human rights. A few months ago, we had a very successful all-India-level meeting at the Vigyan Bhawan, where we tried to bring people from all corners of India. Carrying forward from there: 👉 The first facet we discussed today, in line with Shri Rahul Gandhi's great initiative to revitalise district units, is that we are now making, reconstituting, operationalising, identifying, and listing for each administrative district of India a team of at least 5 senior persons from these three subjects. They will be our eyes and ears on the ground, including coordinators, actors, and movers. And this will be put together in a final list for all of India after being addressed for each district and will be done by the state chairman in consultation with us, and where there are no state chairpersons, through the nominees at the central level. 👉 The second facet we discussed is the operationalising of a Rapid Response Force, the RRF, at the state level, having a minimum of 5 senior people who can take up cudgels on behalf of the Congress party in legal matters in the court - to argue, seek relief and get things moving inside the court. We have given it a 4-6 week timeline. 👉 The third facet is the building of a directory an all-India directory, searchable both by state as well as by alphabetical name across all these categories of all those involved in our department. Again, we have given this a 4-6 week timeline. 👉 The fifth and the last important facet is to try and involve youngsters, possibly between the ages 21 and 30, who want to be associated with the Congress and legal professionals - including RTI and human rights professionals. They will be tied up in an internship programme with our 127 MPs in the first phase on the said three subjects with the Congress approach, with the Congress ecosystem. They are not necessarily required to be part of the Congress as of now. If this works well, then we will also expand it to each MLA in each assembly-level position. I am thankful to all the people who attended the meeting. We had representatives from across India. So we hope to kind of tie all this together and have another function where we will present this to the Congress President Kharge ji and LoP Rahul Gandhi ji in the near future. : Chairman, AICC Law, RTI & Human Rights Department Shri Abhishek Singhvi
4:03

I have had the privilege of heading this tripartite department, which focuses not only on law but also on RTI and human rights. A few months ago, we had a very successful all-India-level meeting at the Vigyan Bhawan, where we tried to bring people from all corners of India. Carrying forward from there: 👉 The first facet we discussed today, in line with Shri Rahul Gandhi's great initiative to revitalise district units, is that we are now making, reconstituting, operationalising, identifying, and listing for each administrative district of India a team of at least 5 senior persons from these three subjects. They will be our eyes and ears on the ground, including coordinators, actors, and movers. And this will be put together in a final list for all of India after being addressed for each district and will be done by the state chairman in consultation with us, and where there are no state chairpersons, through the nominees at the central level. 👉 The second facet we discussed is the operationalising of a Rapid Response Force, the RRF, at the state level, having a minimum of 5 senior people who can take up cudgels on behalf of the Congress party in legal matters in the court - to argue, seek relief and get things moving inside the court. We have given it a 4-6 week timeline. 👉 The third facet is the building of a directory an all-India directory, searchable both by state as well as by alphabetical name across all these categories of all those involved in our department. Again, we have given this a 4-6 week timeline. 👉 The fifth and the last important facet is to try and involve youngsters, possibly between the ages 21 and 30, who want to be associated with the Congress and legal professionals - including RTI and human rights professionals. They will be tied up in an internship programme with our 127 MPs in the first phase on the said three subjects with the Congress approach, with the Congress ecosystem. They are not necessarily required to be part of the Congress as of now. If this works well, then we will also expand it to each MLA in each assembly-level position. I am thankful to all the people who attended the meeting. We had representatives from across India. So we hope to kind of tie all this together and have another function where we will present this to the Congress President Kharge ji and LoP Rahul Gandhi ji in the near future. : Chairman, AICC Law, RTI & Human Rights Department Shri Abhishek Singhvi

Congress

15,209 views • 8 months ago

BREAKING: Tesla has released its Master Plan Part 4. "This next chapter in Tesla’s story will help create a world we've only just begun to imagine and will do so at a scale that we have yet to see. We are building the products and services that bring AI into the physical world. Now, we are combining our manufacturing capabilities with our autonomous prowess to deliver new products and services that will accelerate global prosperity and human thriving driven by economic growth shared by all. We are unifying our hardware and software at scale, and in doing so, we are creating a safer, cleaner and more enjoyable world. We’re accelerating the world’s transition to sustainable abundance. We must make one thing clear: this challenge will be extremely difficult to overcome. The elimination of scarcity will require tireless and exquisite execution. Some will perceive it as impossible. And plenty of others will laud every obstacle and setback we inevitably encounter along the way. But once we overcome this challenge, our critics will come to see that what they once thought was impossible is indeed possible. And that will be fine with us, because what matters most is that, together, we create a sustainable and truly abundant future for generations to come. Today we are on the cusp of a revolutionary period primed for unprecedented growth. And this time it will not be a single step but a leap forward for Tesla and humanity as a whole. The tools we are going to develop will help us build the kind of world that we've always dreamed of—a world of sustainable abundance—by redefining the fundamental building blocks of labor, mobility and energy at scale and for all."
1:18

BREAKING: Tesla has released its Master Plan Part 4. "This next chapter in Tesla’s story will help create a world we've only just begun to imagine and will do so at a scale that we have yet to see. We are building the products and services that bring AI into the physical world. Now, we are combining our manufacturing capabilities with our autonomous prowess to deliver new products and services that will accelerate global prosperity and human thriving driven by economic growth shared by all. We are unifying our hardware and software at scale, and in doing so, we are creating a safer, cleaner and more enjoyable world. We’re accelerating the world’s transition to sustainable abundance. We must make one thing clear: this challenge will be extremely difficult to overcome. The elimination of scarcity will require tireless and exquisite execution. Some will perceive it as impossible. And plenty of others will laud every obstacle and setback we inevitably encounter along the way. But once we overcome this challenge, our critics will come to see that what they once thought was impossible is indeed possible. And that will be fine with us, because what matters most is that, together, we create a sustainable and truly abundant future for generations to come. Today we are on the cusp of a revolutionary period primed for unprecedented growth. And this time it will not be a single step but a leap forward for Tesla and humanity as a whole. The tools we are going to develop will help us build the kind of world that we've always dreamed of—a world of sustainable abundance—by redefining the fundamental building blocks of labor, mobility and energy at scale and for all."

Sawyer Merritt

417,282 views • 1 year ago

NEWS: Neoen Australia says it has begun construction of a new $220 million big battery project, which will also be the first project in the world to deploy Tesla's new Megablock product, its next generation grid-scale battery tech. Megablock combines four Megapack 3 units into a single deployable block offering 20 MWh units, each with an integrated transformer and switchgear. Tesla says this will translate into faster installations and lower costs for grid-level storage, up to 40% cheaper. Megapack 3 production will begin at Tesla's upcoming Megafactory in Houston, Texas in 2026 with up to 50 GWh per year of manufacturing capacity. Megablock: • 23% faster to install with up to 40% lower construction costs • Plug and play platform (hardware, software and services) delivered as one all from Tesla. It's a pre-engineered medium-voltage block that integrates next-gen Megapack 3 • Eliminates above ground cabling between the transformer and the megapacks using new flexible busbar assembly • 91% MV round trip efficiency • 20 MWh of usable AC energy • Operates in temps of -40°C (-40°F) to 60°C (140°F) • 248 MWh per acre • 25-year life & >10,000 cycles Megapack 3: • 5 MWh of usable AC energy • Weight: 86,000 lbs • 28 foot long enclosure that can be shipped globally • Optimized for up to 8-hour applications • New drastically simplified thermal bay. Uses Model Y heat pump, but on steroids. 78% fewer connections, which minimizes failure points • Larger battery module and larger battery cell • 2.8 liter battery cell, co-engineered with Tesla's cell team • LFP battery • Operates in -40°C to 60° • Went from 24 cable connections in Megapack version 2XL, down to 3 simple busbar connections • 75% of the mass of Megapack 3 is battery cells. • A single module in it weighs as much as a Cybertruck • Tesla has enabled easier front access service, so there are no roof penetrations • Drastically simplified bussing system • Will partly use battery cells from Tesla's new 7 GWh LFP battery facility in Nevada. Additional cells sourced elsewhere.
0:37

NEWS: Neoen Australia says it has begun construction of a new $220 million big battery project, which will also be the first project in the world to deploy Tesla's new Megablock product, its next generation grid-scale battery tech. Megablock combines four Megapack 3 units into a single deployable block offering 20 MWh units, each with an integrated transformer and switchgear. Tesla says this will translate into faster installations and lower costs for grid-level storage, up to 40% cheaper. Megapack 3 production will begin at Tesla's upcoming Megafactory in Houston, Texas in 2026 with up to 50 GWh per year of manufacturing capacity. Megablock: • 23% faster to install with up to 40% lower construction costs • Plug and play platform (hardware, software and services) delivered as one all from Tesla. It's a pre-engineered medium-voltage block that integrates next-gen Megapack 3 • Eliminates above ground cabling between the transformer and the megapacks using new flexible busbar assembly • 91% MV round trip efficiency • 20 MWh of usable AC energy • Operates in temps of -40°C (-40°F) to 60°C (140°F) • 248 MWh per acre • 25-year life & >10,000 cycles Megapack 3: • 5 MWh of usable AC energy • Weight: 86,000 lbs • 28 foot long enclosure that can be shipped globally • Optimized for up to 8-hour applications • New drastically simplified thermal bay. Uses Model Y heat pump, but on steroids. 78% fewer connections, which minimizes failure points • Larger battery module and larger battery cell • 2.8 liter battery cell, co-engineered with Tesla's cell team • LFP battery • Operates in -40°C to 60° • Went from 24 cable connections in Megapack version 2XL, down to 3 simple busbar connections • 75% of the mass of Megapack 3 is battery cells. • A single module in it weighs as much as a Cybertruck • Tesla has enabled easier front access service, so there are no roof penetrations • Drastically simplified bussing system • Will partly use battery cells from Tesla's new 7 GWh LFP battery facility in Nevada. Additional cells sourced elsewhere.

Sawyer Merritt

172,732 views • 8 months ago