BOOM 🆘 Democrats are projected to take control of the U.S. House 💀 What does this mean for Elon Musk and Tesla? 🙏 Starting in January 2027, Democrats could use their new House majority to launch congressional investigations, hold hearings, and issue subpoenas examining Musk's government activities and potential conflicts of interest. For Tesla, that could mean increased scrutiny of FSD and Robotaxi safety, regulatory compliance, and the company's relationships with federal agencies. However, President Trump would still control the executive branch, including the agencies responsible for most regulatory and enforcement decisions. A Democratic-controlled House cannot directly dictate those decisions or rewrite federal regulations on its own. In the near term, Tesla could face more political pressure, additional legal and compliance costs, and greater regulatory uncertainty. But here's what matters most: No matter which party controls Congress, Tesla's technological achievements, engineering talent, and enormous long-term opportunities aren't going anywhere 🔥 Tesla isn't standing still. It's pushing the boundaries of autonomous driving, advancing humanoid robotics with Optimus, expanding its energy business, and continuing to innovate across its vehicle lineup. Those opportunities don't disappear because the political landscape shifts in Washington. What matters is Tesla's ability to keep innovating, execute at scale, and turn its technological breakthroughs into sustainable growth. Politics may create temporary headwinds, but Tesla's long-term potential is built on technology, innovation, and execution, not which party holds the majority in Washington.

BOOM 🚨 In about two months, a handful of buildings in Memphis will hold around 1.2 million Nvidia Blackwell GPUs, according to Elon Musk 🤯 To understand how massive that really is, you have to see it in real-world terms. These GPUs come in racks of 72, which works out to roughly 16,700 racks. Each rack weighs about 3,000 pounds, so the hardware alone tops 20,000 tons. That's about three Eiffel Towers' worth of iron, packed into a handful of buildings in Memphis. Powering it takes the energy of a major city. Once you count cooling and networking, each GPU pulls about 2 kW, so the whole site needs around 2 gigawatts. That's enough electricity for about 1.5 million American homes, which is several times the number of homes in all of Memphis. Then there's the raw computing power, and this is where it gets wild. At the 8-bit precision used for AI training, Colossus 2 can run about 6 sextillion calculations per second. If every person on Earth did one calculation per second, nonstop, it would take humanity more than 20,000 years to match what this machine does in a single second. And here's the kicker: this isn't even the finish line. Elon's stated goal for xAI is 50 million H100s' worth of compute by 2030, more than fifteen times everything you just read about.

SOS 🆘 Elon Musk debunked a claim saying that customers can start ordering Optimus this December 🎃 Based on what Elon has said/commented so far, here’s a more realistic timeline: 1. New demo video in Q4 2026 2. Optimus Gen 3 unveil and AI5 integration in H1 2027 3. B2B deliveries in late 2027 to 2028 4. Consumer sales in 2028+

STRONG SIGNAL 🇮🇹 Italian Deputy Prime Minister and Infrastructure Minister Matteo Salvini just had a constructive call with Elon Musk today, noting that Italy supports rapid EU approval for Tesla Assisted Driving 🔥 “Italy […] supports swift EU approval of Tesla Assisted Driving.”

Elon Musk says saving money for the distant future is a total waste of time because superintelligent abundance is right around the corner 🔥 He seems right about the abundance. But if you take his advice and stop saving, you might never survive long enough to see it 💀 Quick background if you do not follow Elon closely. For years, he has been pushing Universal High Income, or UHI: a regular federal check for every single adult, no strings attached. Universal Basic Income is designed to cover the absolute basics, but UHI goes much further. It is meant to let you live exceptionally well without ever needing a job. Here is how he sees it working. AI and robots end up taking over most of the work, making employment completely optional. He has not laid out a formal funding plan yet, but the underlying logic is simple: the machines generate immense wealth, and government checks distribute it around. For that vision to come true, three things have to go right. Machines must perform most of the labor on a massive scale. That work must make goods and services dramatically cheaper. And total output has to outpace the money being handed out, or those checks will simply drive prices up through inflation. The first part is easy to accept. High productivity pushes prices down, and AI paired with robotics is productivity on steroids. Even Reason magazine, which called his UHI plan a major mistake, agreed he is almost certainly right on that specific point. Getting there is the hard part. Start with the raw numbers. The U.S. has about 270 million adults. Pay each of them $50,000 a year, and UHI carries a price tag of around $13.5 trillion. In fiscal 2026, the federal government collected $5.4 trillion in total revenue and still ran a $2 trillion deficit. Scale it down to a modest $1,000 a month, and it is still roughly $3.2 trillion annually, which eats up about 60% of all federal revenue. Even if UHI replaced every single existing federal program, the $50,000 version would cost nearly double the government's entire $7.4 trillion budget. That is why UHI simply cannot run on today's economy. It only works once those three conditions reshape the market so that every dollar stretches vastly further. And not everything gets cheaper. Robots can crank out more cars, more houses, and more food. They might even build new islands and deliver world-class teaching to every kid. What they cannot manufacture is more of the absolute best: the hottest neighborhood, the view everyone wants, or the prime spot everyone else is fighting for. Hand everyone a big check, and those finite prizes will get bid straight through the roof. Then Congress has to pass it. No UHI program exists today. One of the largest U.S. cash studies to date gave 1,000 low-income Americans $1,000 a month for three years. They covered their basic needs better and worked about 1.3 fewer hours a week, giving both supporters and critics plenty to cite. Consider that a small preview of the political showdown ahead. Now look at the timing. Elon has said work could become optional in 10 to 20 years, and he expects AI to be smarter than all humans combined by 2030. That is the technology clock. The policy clock runs much slower, and jobs can easily vanish on the first clock while the checks are still stuck waiting on the second. That gap is precisely where his advice falls apart. When your job is on the line and the checks have not shown up, savings buy you crucial time, and skills decide what you do with it. Even Elon calls abundance the benign scenario. In the bad one, as he has noted, all bets are off. I am betting on the age of abundance too. I am just building my own bridge to get there, one plank of savings and one new skill at a time. Build yours, and you will walk confidently into Elon's future instead of waiting around for it.

STRONG SIGNAL 🚨 Terafab is moving forward at lightning speed because the engineers themselves have the authority to make decisions 🔥 According to Korea’s The Elec, a Korean supplier executive said that even questions sent during the early morning hours in the US get answered within 30 minutes to an hour. In his view, working with Terafab is completely different from dealing with conventional semiconductor customers. An executive at an overseas equipment maker went even further: “I’ve never seen this level of execution speed in the semiconductor industry.” Building a fab involves countless questions like these, across every tool and material that goes into it. When each one gets a fast answer, the time saved keeps compounding, and that could add up to a serious head start before a single wafer is even processed. The chip industry spent decades perfecting how a fab should run. Terafab is being built by engineers who answer a supplier’s question before the US is even awake and are trusted to decide on the spot, and that may turn out to be the most disruptive process change of all.

SOS 🚨 @Tesla saw one of the steepest valuation drops in Interbrand’s 2026 Best Global Brands report, falling 25 spots and losing nearly 38% of its brand value 😱 It’s the third straight year of decline. Tesla was #12# at $45.5 billion in 2024, slipped to #25# at $29.5 billion in 2025, and has now landed at #50# with $18.3 billion. That’s about 60% of its brand value gone in just two years, and Ferrari is right on its heels, only one spot and $600 million behind. To be fair, it was a tough year for every carmaker. The auto industry lost nearly $57 billion in brand value, with Toyota, Mercedes-Benz, BMW and Honda all down between 18% and 22%. Even so, no brand in this year’s top 100 fell harder than Tesla. Keep in mind this isn’t market cap. Interbrand blends projected economic profit, how much the brand drives buying decisions, and an overall brand strength score. Put simply, it’s trying to measure how much the name alone sells cars. Interbrand doesn’t mince words about what went wrong. People bought into Tesla’s philosophy: no dealers, cars that get better overnight with software updates, and a charging network built just for them. But those things can be copied, and plenty of rivals now plug into Tesla’s own charging standard. The report argues that Tesla’s identity was never bigger than one person, so once Elon became a polarizing figure, the brand had nothing else to lean on. It’s not all doom and gloom, though. Interbrand’s CEO points to the Semi, Optimus, Cybercab and Roadster as proof of Tesla’s ambition. He says the real opportunity is turning that tech edge into experiences people actually use, and he calls Tesla one to watch heading into 2027. Tesla built its brand by showing people the future first. Next year’s ranking will tell us whether actually delivering it can win that value back.

ROBOTAXI APP NEWS 🚖 Tesla has updated its Robotaxi iOS app to version 26.10.6, and a peek under the hood reveals some exciting developments: ✅ Airport-specific booking flows The app now includes airport-aware pickup and drop-off logic, complete with an airline selector featuring a "Popular Airlines" section. This signals preparations for seamless airport trips, helping passengers easily select the right drop-off terminal or pickup spot as service expands. ✅ Trip sharing The code includes a dedicated trip-sharing link, an active sharing status indicator, and a remote feature flag. This sets the stage for sharing live ride updates with friends and family, providing an extra layer of peace of mind when riding in a driverless vehicle. ✅ Referral rewards and the Robotaxi coin Tapping the animated gold coin unlocks "Refer and Earn," giving riders quick access to shareable invite links and their credit history. A dedicated notification flow kicks in after an invited rider completes their first trip, complete with celebratory reward messages and on-screen confetti. This lays the groundwork for a built-in referral program designed to fuel viral, word-of-mouth growth, with offer terms and eligibility managed remotely behind the scenes. ✅ Grok and personalized voice settings The app supports push-to-talk, "Hey Grok" voice commands, and customizable spoken-announcement preferences, with availability tied to vehicle capabilities and prior ride history. This paves the way for a more personalized, hands-free experience that seamlessly carries over between compatible rides. ✅ Theater and YouTube search Remote feature flags connect Tesla's system to entertainment search controls, along with checks to verify if front-screen video playback is allowed. This could allow Tesla to roll out easier media discovery across eligible vehicles, giving passengers more ways to enjoy the ride. ✅ Model Y and Cybercab booking choices Vehicle selection logic accounts for available ride options, pricing, and Tesla's default choice, enforcing seating rules of four passengers in the Model Y and two in the Cybercab. This gives Tesla the framework to match each group with the right vehicle as the fleet expands.

HUMANOID ROBOT NEWS 🚨 According to reports from the October 28 SAECCE conference in Suzhou, XPeng Vice President Gu Jie said the company had unveiled a solid-state battery designed specifically for robots 🤖 It prioritizes high energy density in a robot’s limited internal space, resistance to impacts and nail penetration, and protection against thermal runaway spreading from one cell to another. In an all-solid-state battery, a solid material replaces the liquid electrolyte that carries ions between the electrodes. Semi-solid batteries use both solid and liquid electrolytes, and that distinction matters here. For humanoid robots, these are fundamental engineering challenges. Every kilogram of battery is another kilogram the robot has to support, balance, and move. Higher energy density lets designers store more energy at the same weight, or cut weight while keeping the same capacity. Energy per liter matters just as much, because space inside a humanoid’s body is tight. A more compact battery leaves more room for actuators, electronics, and cooling. Those gains only count at the level of the finished machine. Protective structures, cooling, electronics, and the compression hardware some solid-state cells need to keep their layers pressed together all add weight and take up space. The battery also has to deliver bursts of power for walking, lifting, and catching balance, manage heat, recharge efficiently, and hold its capacity through repeated use. Higher energy density solves only part of the problem. Safety takes on new importance when the battery walks into a room full of people. A humanoid can fall, hit equipment, or get damaged while working nearby. Gu also reportedly said XPeng had “reworked its battery standards.” The report offers no specifics, but that could mean testing batteries around a robot’s real working life: falls, repeated bumps, and close contact with people. A pack designed to contain a single failing cell could keep a local failure from turning into a larger emergency. Solid-state chemistry alone doesn’t guarantee that, so pack design still matters. XPeng’s timeline adds important context. When the company announced an all-solid-state battery for its next-generation IRON in November 2025, it reported that the pack withstood one hour at 250°C without thermal runaway, a 300G impact, and penetration by a 3 mm nail without catching fire. Those results apply to the 2025 design, and the October report doesn’t say whether it’s the same pack. XPeng announced the opening of its robot production line in September 2026. Its latest schedule calls for scaled production in late 2026, with initial deliveries in the first half of 2027. But which battery will actually go into production? In September, Jipian Lab reported that XPeng had tried unsuccessfully to source all-solid-state cells from BYD, Gotion, CALB, and EVE. It then selected a high-energy semi-solid cell in a pouch format, rather than the cylindrical format common in robot batteries. The reported problem was finding production-ready all-solid-state cells. Jipian also quoted a researcher who described the industry’s all-solid-state cells as largely laboratory samples, with almost none ready for outside testing. XPeng has not publicly confirmed the reported switch. The Chinese wording makes this especially interesting. The October report uses 固态, or “solid-state.” China’s draft national standard for EV batteries separates batteries into three categories: liquid, mixed solid-liquid, and solid-state. It also accepts “semi-solid” as another name for mixed solid-liquid, and “all-solid-state” as another name for solid-state. Under that draft’s terminology, “solid-state” means all-solid-state. Everyday industry usage is looser. Was Gu referring to an all-solid-state battery, or the semi-solid cell Jipian reported? The remark alone doesn’t answer that question. The connection to Tesla Optimus is now concrete. In its October 21 Q3 update, Tesla said it had begun building Optimus on its high-volume production lines in Fremont, describing the robots coming off those lines as its first production-quality units. XPeng and Tesla announced major humanoid production milestones within weeks of each other. Both programs now face the same practical test: how much useful work can the complete machine do between charges, safely and reliably? A better battery could turn more of a humanoid’s intelligence into productive hours.

BOOM 🚨 Tesla has just registered another 29 Cybercabs in Texas, bringing the total to 573 Cybercabs and pushing its commercial Robotaxi fleet even further ahead 🔥 ✅ With 573 Cybercabs and 507 Model Ys now registered, Tesla's commercial Robotaxi fleet in Texas has officially expanded to 1,080 vehicles in total! ✅ Dedicated Cybercabs now account for 53% of Tesla's entire commercial fleet in the state, continuing to widen their lead over the Model Y.

BOOM 🚨 Have you ever wondered how Tesla stripped away the one thing standard brakes can’t live without—and yet the Cybercab still stops on a dime? 🔥 That's the magic of brake-by-wire 🔥 To see why that’s such a massive leap, let's look at how stopping usually works. In practically every car on the road, including every previous Tesla, stepping on the brake pedal forces hydraulic fluid down lines to squeeze the calipers. The Cybercab throws that entire setup out the window: no pedal, no lines, and zero brake fluid. Instead, braking begins as a software calculation. The car’s central computer determines the exact stopping force required for each wheel and fires off an electronic signal—no hydraulic master cylinder sitting in the middle. While Tesla hasn’t published its exact actuator specs, dry brake-by-wire systems generally work via a compact electric motor at each wheel. A small gearbox multiplies the motor’s torque, and a screw mechanism converts that rotational spin into a powerful linear push—much like turning a vise handle to clamp its jaws. That physical push forces the pads against the rotor. Sensors constantly monitor clamping pressure, allowing a wheel-level controller to micro-adjust the motor dynamic force dozens of times per second to hold the exact output requested by the computer. Releasing the brakes is just as snappy. The motor instantly reverses to pull the pads back cleanly, eliminating the light pad drag that creates subtle efficiency losses in conventional hydraulic setups. Because the whole system runs on electricity, Cybercab’s 48-volt architecture delivers far more punch to those actuator motors than legacy 12-volt setups ever could. The Cybertruck introduced steer-by-wire while keeping hydraulic brakes, but Cybercab completes the transition: both steering and stopping are now handled entirely by wire. Here’s the real twist: Tesla didn't ditch hydraulic brakes just to eliminate the foot pedal. Engineers made the leap because of how the vehicle is built. Cybercab is assembled from self-contained modules that only merge near the end of the assembly line. You simply can't route pre-filled, sealed hydraulic lines through a vehicle that starts out in disconnected pieces. With brake-by-wire, the front and rear braking hardware live entirely inside their respective modules. Each assembly can be built and tested independently before final integration—no brake lines to route, fill, or bleed on the main line. That design choice pays off long after the car leaves the factory, too. For a high-utilization robotaxi built to run over 500,000 miles, removing brake fluid eliminates routine fluid flushes and leak risks entirely. The biggest open question left is redundancy. Tesla hasn't detailed how the system manages a potential actuator failure on the fly—an answer that will carry real weight as Cybercabs hit public roads. Tesla didn’t rethink the brakes to stop harder. It rethought them so the car could be built in pieces.

GOOD NEWS 🚖 Tesla has just registered another 81 Cybercabs in Texas, officially hitting two major milestones in a single filing 🔥 ✅ With 544 Cybercabs and 507 Model Ys now registered, Tesla's commercial Robotaxi fleet in Texas has officially broken through the 1,000-vehicle threshold to reach 1,051 in total! ✅ Even bigger: purpose-built Cybercabs now outnumber Model Ys for the first time ever, taking over as the majority (51.8%) of Tesla's autonomous fleet in the state. ✅ Bonus: Tesla has added nearly 200 Cybercabs to its Texas fleet in the last 7 days!

GOOD NEWS 📰 Elon Musk just confirmed that Tesla Robotaxi is heading to Florida's beaches “soon”🔥 This is huge! Right now, both Florida zones sit inland near the airports. They're great for everyday trips around town, but the rides Florida is famous for end at the sand. In Miami, picture landing at MIA and riding straight to South Beach. Picture a night out in Miami Beach with no circling for parking and no debate over who's driving home. In Tampa, it means crossing the bay to Clearwater and St. Pete Beach. Suddenly, Robotaxi becomes something visitors use on day one of their vacation. Here's the best part. Florida law already allows driverless cars statewide, so there's no city-by-city permit fight holding this back. How fast it happens comes down to Tesla's own validation and how quickly the fleet grows. Once a Robotaxi can carry you from the arrivals curb to the shoreline, a beach day becomes something you never have to drive to again.

BOOM 🚨 Elon Musk officially dismissed a viral breakdown of robot memory demand as a "silly analysis" 🔥 His reasoning is far bigger than the forecast itself. Elon believes robots will eventually need more RAM than everything else on Earth 🔥 Here's what set him off. Counterpoint Research expects DRAM demand from humanoid robots to explode more than 20-fold by 2030, reaching 172,000 terabits. That sounds massive until you do the conversion. It’s only 21.5 petabytes, enough for about 550,000 robots at Counterpoint’s 2030 average of 39GB each. Then Zephyr pushed it further. Even if production hit 20 times that, around 11 million robots a year, robots would still use less than 1% of the roughly 48 exabytes of DRAM he expects the world to produce in 2026. Elon took aim at that conclusion. Zephyr's math is fine, but the scale is way off. At the Terafab launch in March, Elon suggested humanoid robot production could eventually hit 1 billion to 10 billion units a year. Even Zephyr's generous 11 million is barely 1% of the low end. The per-robot number looks low, too. Tesla's AI5 chip, which will power Optimus, packs 96GB of RAM. That's about 2.5 times Counterpoint's 2030 average, and Tesla only landed there after trimming. Micron's CEO goes even further, saying each humanoid robot will need around 200GB. Now combine Elon's low end with Tesla's chip, and the whole picture flips. A billion robots a year at 96GB each would need 96 exabytes of DRAM every single year. That's roughly double the entire 2026 global output Zephyr used. Suddenly, the market that looked like a rounding error looks like the main event. Memory is already shaping Optimus right now. On October 1, Elon said Tesla had cut AI5 memory from 144GB to 72GB because it was the only way to get enough volume for Optimus production, and it slashes cost. A day later, Tesla settled on 96GB, since at 72GB it would have been the only company buying the minimum-RAM version of those LPDDR5 chips. When you plan to build robots by the millions, you buy the standard part everyone else buys. Elon also expects the cut to barely dent performance, because memory bandwidth, the speed at which data flows between memory and the processor, matters more than total capacity. Tesla kept bandwidth exactly where it was. That's the clever twist: each robot gets leaner on memory while the robot industry as a whole devours dramatically more. So why can't robots just borrow brainpower from a data center the way chatbots do? That's what Elon means when he says robots need to be on "physical substrates in order to shape atoms." (His post says "substates," which is a typo.) In plain English, the intelligence has to live inside a body to move and build real things. A robot catching a slipping part can't wait for a round trip to a server farm, and it has to keep working when the connection drops. Every robot in every factory, warehouse, and home needs its own brain and memory on board. The last line of his reply is where it all clicks. Elon says superintelligence will need even more memory than robots, but about 100% of it will run as deep space compute. That's why he limited his robot claim to Earth. In his view, the biggest AI brains leave the planet, and what stays behind and keeps multiplying is robots. His own numbers back that split. Terafab, the chip venture between Tesla, SpaceX, and xAI, is designed to make both AI chips and memory chips. Elon's "very approximate guess" is that about 25% of its AI compute output will go to Optimus and about 75% to AI spacecraft. He has argued that sunlight in space is roughly five times stronger than at Earth's surface, and that the vacuum makes it easier to dump heat at scale. He has even described a Moon factory with a mass driver flinging AI satellites into deep space. That's a long-term vision, not a product roadmap, but it shows exactly where "deep space" came from. For Tesla, this means Optimus will live or die by its supply chain as much as by its brain. Elon has said that scaling Optimus requires solving memory, logic chips, and advanced packaging, and that's why Terafab exists. If he's right, the most powerful computers humanity builds will float in deep space, while the biggest memory market left on Earth walks around on two legs.

If you ask the Tesla engineers behind Cybercab to sum up its design in one rule, the answer is these four plain words: "donot waste a gram" 🔥 It sounds like a simple rule about using less. But the closer you look, the smarter it gets 🔥 ✂️ WHAT $TSLA DELETED Model 3 and Model Y surround their battery electronics with a separate wall, top cover, seal, and a handful of bolts. Cybercab replaces all of that with a single stamping, and that same battery cover doubles as the car's floor. The heat pump's compressor bolts straight onto the refrigerant manifold, wiping out every refrigerant hose in the system. And instead of running dedicated high-voltage circuits from the battery to the thermal system, Cybercab simply taps power from the drive inverter, which already carries high voltage. The electric oil pump is gone, along with its circuitry and firmware, replaced by a simple mechanical one. So is the one-shot pyro fuse. The front and rear body modules even skip e-coating, part of eliminating a paint shop that can cost a few hundred million dollars to build. Even fun gets audited. Tesla's head of drive units isn't a fan of Easter eggs, because someone would have to spend time grinding a logo into a die that never needed one. As a colleague put it, if it adds a penny, it's too much. ⚖️ SPENDING A LITTLE TO SAVE A LOT Here's the twist. Sometimes not wasting a gram means adding one. Every battery module board now gets a wireless chip, adding 20 to 30 cents to its cost. In exchange, Tesla deletes a communications harness that might cost about a dollar, plus roughly 50 cents to install. Robots hate harnesses too, because they're notoriously messy to automate. The battery enclosure switches to steel, which costs about $1.90 per kilogram versus $5 to $8 for aluminum. To get it down to just 1.2 millimeters thick, engineers add local reinforcements and extra parts exactly where they're needed. Steel loses on weight, but Tesla says the numbers still come out ahead on cost. The motor's cooling passages move out of pricey electrical steel and into the cheaper die-cast aluminum surrounding it. Every job goes to the cheapest material that can do it well. 🏋️ THE WAR ON HIDDEN PADDING Padding is one of the sneakiest ways a car gains weight. If the target is 1,600 kilograms, every team designs to 1,600. The car still has to meet every requirement, but no team gets to slip in its own 20% cushion on top. Testing works the same way. Parts are expected to fail between 95% and 100% of their spec, because a part that survives far beyond it is hauling around material it doesn't need. That matters because weight snowballs. A heavier car needs bigger brakes and a stronger structure, which pile on even more weight. The good news is that efficiency snowballs too. Cybercab turned out more efficient than Tesla expected, so the pack needed fewer cells than planned, leaving spare room inside. ♻️ WASTE IS MEASURED OVER A LIFETIME The rule doesn't stop at the factory door. Battery modules are now potted individually instead of as one solid pack. If one module fails, three healthy ones worth about $1,500 each get saved. On a Model Y structural pack, that same failure means replacing the whole thing. Reusable contactors can cut power under load a few times and keep right on working, so a minor fender bender doesn't have to blow a one-shot fuse and send the car to service. We usually judge a car's efficiency the day it rolls out of the factory. Tesla is judging Cybercab on the day it finally retires, at least half a million miles later, and counting every gram it never had to replace.

SOS 🚨 For years, the question was how fast Tesla could build cars. With Cybercab, the question is how fast the world can make room for them 🔥 During Munro’s tour of the Cybercab factory, @larsmoravy revealed that the line doesn’t even run every day. In his words, “the line can run so fast it’s currently outpacing our robotaxi deployments, so it’s a bit of a race right now to see who can go faster.” That’s a remarkable reversal for Tesla. During the Model 3 ramp, the factory was the bottleneck, and Elon famously called it “production hell”. When Tesla later pushed its lines toward even more automation, it hit a wall. As Lars put it, “the problem wasn’t the automation. The problem was the design”. That’s why Cybercab was designed around the factory from day one. The car is split into modules that are built and tested in parallel, then joined in about 25 final assembly stations, roughly a fifth to a tenth of what a Model Y needs. The framing line is fully automated, and the whole operation was planned to build thousands of cars a week in about half the usual floor space. Now the race has moved, and that flips how expansion works. Normally, a new market has to wait for the factory to catch up. With Cybercab, the cars could be ready before the next city is. And once the cities start catching up, this line finally gets to run every day.

BOOM 🚨 @elonmusk is cooking up some insane scenarios for the next Optimus demo—from assembling a Swiss watch while snagging a 100 mph fastball, to juggling flaming chainsaws on a unicycle 🔥 While we wait to see what Optimus v3 can pull off in a real-life live demo, here are two Veo-generated clips bringing these wild concepts to life 🔥 What’s an even crazier scenario you’d love to see put Optimus v3 to the ultimate test? 🔥

MERGER NEWS 📰 According to a former Justice Department official, a potential merger of $TSLA and $SPCX could face antitrust scrutiny in the US, even though regulators generally view these types of “vertical” mergers favorably because they can improve supply chain efficiency and strengthen competition 😱 The biggest concern would be something known as “vertical foreclosure,” where a company uses its control over one part of a supply chain to shut out competitors elsewhere 😱 For example, if technologies like SpaceX’s Starlink were made available exclusively to Tesla vehicles, other EV manufacturers and autonomous driving companies could find themselves at a competitive disadvantage. That could give antitrust regulators grounds to challenge or even block the merger, depending on how the deal is structured. Politics could also play a major role. The question is whether antitrust regulators under President Trump would be willing to take on Elon, one of the Republican Party’s biggest donors. And if Democrats regain control of the House in next month’s midterm elections, Elon could face additional scrutiny from Congress, with lawmakers likely to examine any effort to bring his companies together.

GOOD NEWS 🚘 @Tesla Model Y is absolutely dominating the global EV sales charts 🔥 From January through August 2026, the Model Y recorded an incredible 748,088 sales worldwide, securing the #1# spot by a massive margin 🔥 Its closest competitor, the BYD Song / Seal U, only managed 325,091 units 🎃 That's a staggering 422,997-unit lead, meaning the Model Y sold 130% MORE than the runner-up, or 2.3 times as many 🤯 The Model Y remains in a league of its own 🚀

STRONG SIGNAL 🤖 Tesla’s latest filing reveals the ultimate skin in the game: key employee equity awards are now explicitly tied to the factory rollout of Optimus 🔥 Tucked inside the October 19 proxy statement is a clear signal that Tesla is moving well beyond lab experiments. The company confirmed it is actively building its first dedicated Optimus production lines, scaling the compute clusters needed to train end-to-end neural networks, and transferring years of FSD breakthroughs directly into general-purpose humanoid robotics. The standout detail sits right in the compensation disclosures. Tesla explicitly added "Optimus production and deployment" as an operational milestone required for performance stock awards granted to key non-executive talent. That means execution isn't just riding on Elon Musk’s headline pay structure. The engineers, manufacturing leads, and specialists on the ground now have direct, serious upside tied to getting physical units off the assembly line. When an engineering culture aligns individual equity directly with shipping physical hardware, timelines tend to shrink fast. Optimus might not be a standalone voting proposal at this year’s shareholder meeting, but make no mistake: it has officially shifted from speculative moonshot to an incentivized industrial program. The ramp-up is going to be wild to watch.