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Tesla’s Elon Musk will be hosting an AI hackathon party at his house
Elon Musk announced that Tesla will be hosting an AI hackathon, together with the company’s artificial intelligence and autopilot team, at his house in four weeks’ time.
The Tesla chief announced his plans via Twitter on Sunday. Despite impressive numbers revealed during the Q4 2019 earnings call and update, Musk and his Tesla team are not resting on their laurels and remain focused on pursuing advancements to its neural network, which is in the center of Tesla’s goal of achieving a full self-driving vehicle.
During the recent Q4 earnings call, an investor asked the Tesla chief executive for updates on FSD.
“I think that’s looking like maybe it’s going to be couple of months from now. And what isn’t obvious regarding Autopilot and Full Self-Driving is just how much work has been going into improving the foundational elements of autonomy,” Musk said.
Tesla will hold a super fun AI party/hackathon at my house with the Tesla AI/autopilot team in about four weeks. Invitations going out soon.
— Elon Musk (@elonmusk) February 2, 2020
Musk continued to explain how the Tesla team is making great strides in labeling efficiency.
“…in terms of labeling, labeling with video in all eight cameras simultaneously. This is a really, I mean in terms of labeling efficiency, arguably like a three order of magnitude improvement in labeling efficiency. For those who know about this, it’s extremely fundamental, so that’s really great progress on that,” Musk said.
Tesla vehicles rely on a custom chip that boasts of 144 tera operations per second (TOPS) for its self-driving capabilities. This two-chip FSD computer works in tandem with LPDDR4 RAM modules that come with a peak bandwidth of 68 GB/s. There are also two neural network accelerators that work in tandem to process as much as 1TB of data per second. This setup is roughly three times faster, about 80%, and about 1.25 times more power-efficient than the previous hardware. It is also able to process about 2,300 frames per second compared to the 110 frames per second processed by Tesla’s Hardware 2.5.
In his series of tweets on Sunday, Musk also mentioned Tesla’s “Dojo” supercomputer, which is speculated to be capable of processing vast amounts of data to train the company’s neural network. Through active learning, Tesla curates the most useful video clips from its fleet of connected cars and train the neural net to recognize things that it did not previously know.
“Our networks learn from the most complicated and diverse scenarios in the world, iteratively sourced from our fleet of nearly 1M vehicles in real-time. A full build of Autopilot neural networks involves 48 networks that take 70,000 GPU hours to train. Together, they output 1,000 distinct tensors (predictions) at each timestep,” Tesla wrote on the Autopilot AI section of its website.
“At Tesla, using AI to solve self-driving isn’t just icing on the cake, it the cake” – @lexfridman
Join AI at Tesla! It reports directly to me & we meet/email/text almost every day. My actions, not just words, show how critically I view (benign) AI.https://t.co/iF97zvYZRz
— Elon Musk (@elonmusk) February 2, 2020
The last major software update rolled out by Tesla allowed its vehicles to visualize more things while driving in inner-city streets. Teslas now render stoplights, stop signs, traffic cones, traffic pylons, and more.
With the upcoming AI hackathon, Tesla will get together with developers to seek out more efficient algorithms and overall improvements to the core logic for its Full Self-Driving suite through a time-boxed event. With fresh eyes working with the existing AI and autopilot team of Tesla, the carmaker may be able to accelerate the timeline and rollout of its full-featured Full Self-Driving suite sooner.
Further advances in FSD and its Autopilot feature will widen the gap between Tesla and its competitors and solidify the company’s position as one of the leading automakers in the world. These improvements will also take Tesla a step closer to the possibility of Robotaxis that they can deploy at scale.
The hackathon will also allow Tesla to fish for new AI talents to join the team. On Sunday, Musk also mentioned that the electric carmaker is looking for world-class chip designers and C++/C engineers for vehicle control and other functions of Tesla vehicles.
Musk reiterated that educational attainment is not important when joining Tesla but rather a clear understanding of how AI and neural networks function and the ability to build useful applications using that knowledge.
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Tesla gathers 93,000 FSD miles in a country where FSD isn’t approved – here’s how
Tesla has quietly logged an impressive 93,000 miles (roughly 150,000 km) of autonomous driving at its Giga Berlin factory—using Full Self-Driving (FSD) in a country where the technology remains unavailable to consumers on public roads.
Tesla has gathered 93,000 Full Self-Driving miles in a country where Full Self-Driving is not even approved. Here’s how.
Tesla has quietly logged an impressive 93,000 miles (roughly 150,000 km) of autonomous driving at its Giga Berlin factory—using Full Self-Driving (FSD) in a country where the technology remains unavailable to consumers on public roads.
The milestone, revealed alongside news that Giga Berlin has now built 750,000 Model Y vehicles, highlights how Tesla is putting its AI to work in one of the most controlled environments imaginable: it’s own factory floor.
Every Model Y that rolls off the final assembly line at Giga Berlin doesn’t need a human driver to reach the outbound lot. Instead, the freshly built vehicles engage FSD and navigate themselves across the factory campus.
The Tesla Model Ys rolling off the production line at Giga Berlin have now driven themselves on FSD a combined 93,000 miles from the end of the production line to the outbound lot. https://t.co/6RhL3W4q4p pic.twitter.com/DOKKHUcSSL
— Sawyer Merritt (@SawyerMerritt) May 11, 2026
The route—from the end of the production line through marked internal pathways to the staging area where cars await delivery or export—is entirely on private property. No public roads, no mixed traffic, and no regulatory hurdles for on-road autonomous operation.
It’s a closed-loop system: wide lanes, predictable layouts, minimal pedestrians, and consistent conditions that make it one of the simplest proving grounds for the software.
A short factory tour video shared by Tesla Manufacturing shows General Assembly team member Jan explaining the process. Gesturing beside a glossy black Model Y still wearing its protective wrap, he notes the cumulative distance the fleet has covered autonomously.
Tesla Giga Berlin seems to be using FSD Unsupervised to move Model Y units
The cars handle the short drive flawlessly, freeing up workers who would otherwise spend hours shuttling vehicles manually. For a high-volume plant like Giga Berlin, the time and labor savings add up quickly. Even small gains in cycle time per car can reclaim valuable space in the outbound lot and streamline logistics.
This internal deployment serves multiple purposes. First, it delivers zero-cost validation data. Each factory run exposes FSD to real-world physics—acceleration, steering precision, obstacle avoidance—in a repeatable setting far safer than public testing.
Second, it demonstrates the system’s readiness at scale. If FSD can reliably move thousands of brand-new cars without intervention inside a busy factory, it underscores the robustness of the vision-based, end-to-end neural network Tesla has been refining.
Critics often point to Europe’s cautious regulatory stance on unsupervised autonomy, yet Tesla has turned that limitation into an advantage. While owners in Germany still cannot activate consumer FSD on highways or city streets, the software is already proving its worth behind the factory gates.
The 93,000 miles represent not just internal efficiency gains but a subtle flex: the cars are manufactured ready to navigate autonomously, at least in the bounds of the factory. It’s a big feather in the cap of FSD, even if regulators have yet to green-light broader use.
As Giga Berlin continues ramping output, expect this autonomous logistics loop to grow. What began as a practical workaround for moving finished vehicles has quietly become one of the most compelling real-world showcases of FSD’s potential—right in the heart of regulated Europe. Tesla isn’t waiting for approval to perfect its autonomy; it’s already driving the future, one factory mile at a time.
Elon Musk
Elon Musk reveals how SpaceX is always on board Air Force One
Musk confirmed Tuesday that Starlink internet is live and kicking on Air Force One. Responding with a simple “Yup!” to a post showing him and Nvidia CEO Jensen Huang aboard the presidential jet en route to Beijing with President Trump, Musk proved the point: America’s most important aircraft now has seamless, high-speed satellite connectivity—even over the middle of the Pacific.
Air Force One, the official call sign for a U.S. Air Force aircraft carrying the President, now runs on SpaceX Starlink, CEO Elon Musk revealed.
Musk confirmed Tuesday that Starlink internet is live and kicking on Air Force One. Responding with a simple “Yup!” to a post showing him and Nvidia CEO Jensen Huang aboard the presidential jet en route to Beijing with President Trump, Musk proved the point: America’s most important aircraft now has seamless, high-speed satellite connectivity—even over the middle of the Pacific.
Yup!
— Elon Musk (@elonmusk) May 13, 2026
The timing couldn’t be more symbolic. With trillion-dollar CEOs and the President sharing the cabin, Starlink wasn’t just a nice-to-have—it was mission-critical. No more spotty signals or dropped calls. Instead, real-time video conferences, secure data transfers, and global coordination at Mach speed.
Starlink’s aviation push has already transformed commercial and private flying. Dozens of major airlines have signed on or begun rollouts.
Hawaiian Airlines, United Airlines, Qatar Airways, Air France, SAS, WestJet, airBaltic, and Emirates (now equipping its Boeing 777 and A380 fleets) offer Starlink Wi-Fi to passengers. Lufthansa plans to follow in late 2026.
On private jets, the upgrade is even hotter: owners and charter companies report skyrocketing demand because Starlink turns cabins into flying boardrooms.
Starlink gets its latest airline adoptee for stable and reliable internet access
The advantages are massive. Traditional in-flight Wi-Fi relied on slow, high-latency geostationary satellites or ground-based systems that cut out over oceans and remote areas. Starlink’s low-Earth-orbit constellation delivers blazing speeds—often exceeding 200 Mbps download with latency as low as 25-60 milliseconds—gate-to-gate, from takeoff to landing.
Passengers stream 4K video, join Zoom calls, or work in the cloud without buffering. Pilots get real-time weather, NOTAM updates, and live ATC data. Even private-jet travelers get the benefits, as it means productivity that rivals the office.
On Air Force One, those benefits become strategic superpowers. The presidential aircraft demands unbreakable communications for national security, diplomacy, and crisis response. Starlink provides global coverage with no dead zones, offering redundancy against traditional systems that could fail in contested airspace or during long-haul flights.
It enables the President and staff to maintain secure links with the Pentagon, allies, or business leaders anywhere on Earth. During the Beijing trip, it likely facilitated direct coordination on trade, tech, and AI—proving the system’s reliability for the highest-stakes missions.
Critics once dismissed Starlink as a rich-person toy or military experiment. Now, it’s the backbone of commercial fleets, private aviation, and the world’s most visible symbol of American power, and it is providing stable internet to travelers.
With over 2,000 commercial aircraft committed and private-jet installations booming, Starlink is rewriting the rules of connected flight, and it seems like each week, a new airline is choosing to use it for on-flight connectivity.
For Air Force One, it’s more than faster Wi-Fi. It’s uninterrupted command-and-control in an increasingly connected world—ensuring the President never has to go dark at altitude. Elon Musk just made sure of it.
Elon Musk
SpaceX unveils sweeping Starship V3 upgrades ahead of May 19 launch
SpaceX has released a detailed list of changes for Starship Version 3, the next iteration of its fully reusable super-heavy-lift vehicle. Scheduled for its maiden flight as early as May 19 from Starbase in Texas, Starship V3 incorporates dozens of redesigns across the Super Heavy booster, Starship upper stage, Raptor 3 engines, and Launch Pad 2.
SpaceX has unveiled sweeping upgrades to its Starship v3 rocket ahead of the upcoming May 19 launch.
SpaceX has released a detailed list of changes for Starship Version 3, the next iteration of its fully reusable super-heavy-lift vehicle. Scheduled for its maiden flight as early as May 19 from Starbase in Texas, Starship V3 incorporates dozens of redesigns across the Super Heavy booster, Starship upper stage, Raptor 3 engines, and Launch Pad 2.
Elon Musk reveals date of SpaceX Starship v3’s maiden voyage
The updates focus on simplification, mass reduction, reliability, and enabling core capabilities like rapid reusability, in-orbit refueling, Starlink deployment, and crewed missions to the Moon and Mars.
Collectively, these modifications mark a major step-change. By reducing dry mass, improving thermal protection, and integrating systems for orbital operations, Starship V3 aims to transition from test vehicle to operational infrastructure.
Here is an explicit, broken-down list of the key changes, first starting with the changes to Super Heavy V3:
- Grid Fin Redesign: Reduced from four fins to three. Each fin is now 50% larger and stronger, repositioned for better catching and lifting performance. Fins are lowered on the booster to reduce heat exposure during hot staging, with hardware moved inside the fuel tank for protection.
- Integrated Hot Staging: Eliminates the old disposable interstage shield. The booster dome is now directly exposed to upper-stage engine ignition, protected by tank pressure and steel shielding. Interstage actuators retract after separation.
- New Fuel Transfer System: Massive redesign of the fuel transfer tube—roughly the size of a Falcon 9 first stage—enables simultaneous startup of all 33 Raptors for faster, more reliable flip maneuvers.
- Engine Bay / Thermal Protection: Engine shrouds removed entirely; new shielding added between engines. Propulsion and avionics are more tightly integrated. CO₂ fire suppression system deleted for a simpler, lighter aft section.
- Propellant Loading Improvements: Switched from one quick disconnect to two separate systems for added redundancy and reduced pad complexity.
Next, we have the changes to Starship V3:
- Completely Redesigned Propulsion System: Clean-sheet redesign supports new Raptor startup, larger propellant volume, and an improved reaction control system while reducing trapped or leaked propellant risk.
- Aft Section Simplification: Fluid and electrical systems rerouted; engine shrouds and large aft cavity deleted.
- Flap Actuation Upgrade: Changed from two actuators per flap to one actuator with three motors for better redundancy, mass efficiency, and lower cost.
- Faster Starlink Deployment: Upgraded PEZ dispenser enables quicker satellite release.
- Long-Duration Spaceflight Capability: New systems for long orbital coasts, orbital refueling, cryogenic fluid management, vacuum-insulated header tanks, and high-voltage cryogenic recirculation.
- Ship-to-Ship Docking + Refueling: Four docking drogues and dedicated propellant transfer connections added to support in-space refueling architecture.
- Avionics Upgrades: 60 custom avionics units with integrated batteries, inverters, and high-voltage systems (9 MW peak power). New multi-sensor navigation for precision autonomous flight. RF sensors measure propellant in microgravity. ~50 onboard camera views and 480 Mbps Starlink connectivity for low-latency communications.
Next are the changes to the Raptor 3 Engine:
- Higher Thrust: Sea-level Raptors increased from 230 tf (507k lbf) to 250 tf (551k lbf); vacuum Raptors from 258 tf (568k lbf) to 275 tf (606k lbf).
- Lower Mass: Sea-level engine mass reduced from 1630 kg to 1525 kg.
- Simpler Design: Sensors and controllers integrated into the engine body; shrouds eliminated; new ignition system for all variants. Results in ~1 ton of vehicle-level weight savings per engine.
Finally, the upgrades to Launch Pad 2 are as follows:
- Faster propellant loading via larger farm and more pumps.
- Chopstick improvements: shorter arms, electromechanical actuators (replacing hydraulic) for reliability.
- Stronger quick-disconnect arm that swings farther away.
- Redesigned launch mount for better load handling and protection.
- New bidirectional flame diverter eliminates post-launch ablation and refurbishment.
- Hardened propellant systems with separated methane/oxygen lines and protected valves/filters.
SpaceX states these elements “are designed to enable a step-change in Starship capabilities and aim to unlock the vehicle’s core functions, including full and rapid reuse, in-space propellant transfer, deployment of Starlink satellites and orbital data centers, and the ability to send people and cargo to the Moon and Mars.”
With these upgrades, Starship V3 is poised for an epic test flight that could accelerate humanity’s multiplanetary future. The rapid pace of iteration underscores SpaceX’s relentless drive toward making life multiplanetary. Launch watchers are in for a spectacular show.