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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.
News
Tesla bolsters App with new safety, insurance, and storage features
The Tesla Smartphone App is one of the biggest and best features and advantages owners have. Everything from moving the vehicle with Summon, to getting Navigation sent to the car, to preconditioning the cabin can be done with the Tesla App.
Tesla is bolstering its smartphone App with a series of new features to streamline operations for owners. The new additions include fixes to safety, its in-house insurance offering, and storage management for Dashcam clips.
The Tesla Smartphone App is one of the biggest and best features and advantages owners have. Everything from moving the vehicle with Summon, to getting Navigation sent to the car, to preconditioning the cabin can be done with the Tesla App.
But in classic Tesla fashion, the company is aiming to improve the offerings of the app, and it is doing so with a handful of new features. They were first discovered by Tesla App Updates.
Tesla Insurance – Safety Score 3.0
This is truly part of the Spring 2026 Update, but Tesla has now given more transparency on how FSD has saved people money on their premiums.
Tesla intertwines FSD with in-house Insurance for attractive incentive
Additionally, Tesla is now automatically awarding a Safety Score of 100 for every mile traveled on Full Self-Driving (Supervised).
Update Tracking
Updates traditionally appear on the App or on the Center Touchscreen in the car. There is nothing better than seeing that Green Arrow at the top of the screen, or opening your app and seeing that there is a Software Update available.
Now, there will be no need to manually check the app and initiate the download. Tesla is enabling a new feature that will automatically download updates for you.
Storage Management
Your USB drive can now be remotely formatted, and old Dashcam clips can be deleted straight from the phone. When you record a lot of things using the Dashcam feature, that storage fills up pretty quickly.
Now, manually deleting the Dashcam videos is easier than ever.
Trailer Light Test
This is perhaps the coolest and most crucial addition to the Tesla App, as those who tow and haul will now be able to trigger a diagnostic light sequence from the app while standing behind your trailer to ensure the brake lights work.
Verifying your trailer lights are connected properly and operating normally and as intended is normally a massive hassle.
Now, a new trigger will be available to initiate a diagnostic light sequence directly from your phone.
News
Tesla Robotaxi-only Superchargers are starting to appear
For Tesla, these Robotaxi-only Superchargers represent more than convenient parking spots. They are the first bricks in a vertically integrated autonomy platform—vehicles, energy, and software working in seamless concert.
Tesla is starting to build out Robotaxi-only Superchargers as the company is truly leaning on its Full Self-Driving and autonomy efforts to solve passenger travel.
Last week, the company filed pre-permits in Arizona’s East Valley for two dedicated, non-public charging sites stocked with next-generation V4 Superchargers. The filings mark the first visible evidence of purpose-built infrastructure exclusively for autonomous Tesla vehicles, as they state they are not for public use.
In Chandler, Tesla plans to install 56 V4 stalls on an industrial parcel along South Roosevelt Avenue. Site documents describe a high-capacity setup supported by new SRP transformers, switching cabinets, and upgrades to existing underground lines.
A second site in Mesa, located at 5349 E Main Street in another industrial zone, carries the same private-use designation. Both locations sit well away from public roads and customer traffic, ensuring the chargers serve only Tesla’s internal fleet.
The sites were spotted by Supercharger observer MarcoRP.
On the same day, Tesla also submitted a draft for another proposed location in the city of Mesa, also listed as private use.
This site is located in an industrial area on the east side of the city. pic.twitter.com/jCC1IsKKKw
— MarcoRP (@MarcoRPi1) April 17, 2026
Phoenix’s East Valley offers an ideal launchpad for Robotaxi Supercharging: the location has a clean, grid-like street layout and year-round mild weather that minimizes camera degradation. Additionally, Arizona has welcomed self-driving pilots since Waymo’s early days.
By securing private depots now, Tesla can optimize charging cycles, reduce downtime, and maintain full control over vehicle hygiene and security, critical factors for high-utilization Robotaxi operations.
The type of Supercharger is telling as well, as they are V4, Tesla’s fastest and most efficient buildout.
V4 stalls deliver faster power and support bidirectional charging, features that will let idle Robotaxis feed energy back to the grid during off-peak hours. Because the sites are closed to the public, Tesla avoids congestion, vandalism risks, and the scheduling conflicts that plague shared stations.
The timing is telling. With unsupervised Full Self-Driving hardware already rolling out across the lineup and Cybercab production targets looming, Tesla is shifting from vehicle development to ecosystem readiness.
Charging infrastructure has historically been the gating factor for ride-hailing scale; building it ahead of the vehicles signals confidence that regulatory and technical hurdles are nearing resolution.
Tesla has been spotted testing Cybercab units in Arizona over the past few months, as well.
Interestingly, the permits show V4 Superchargers in the plans, although Cybercab will likely utilize wireless charging:
Tesla Cybercab spotted with interesting charging solution, stimulating discussion
For Tesla, these Robotaxi-only Superchargers represent more than convenient parking spots. They are the first bricks in a vertically integrated autonomy platform—vehicles, energy, and software working in seamless concert.
It appears Tesla is preparing to begin building out Robotaxi-only Superchargers to avoid the congestion and keep its autonomous fleet charged up to get ride-hailers to their destinations.
Elon Musk
ARK’s SpaceX IPO Guide makes a compelling case on why $1.75T may not be the ceiling
ARK Invest breaks down six reasons SpaceX’s $1.75 trillion IPO valuation may be justified.
ARK Invest, which holds SpaceX as its largest Venture Fund position at 17% of net assets, has published a detailed investor guide to why a SpaceX IPO may be grounded in a $1.75 trillion target valuation.
The financial case starts with Starlink, SpaceX’s satellite internet constellation, which has surpassed 10 million active subscribers globally as of early 2026, with 2026 revenue projected to exceed $20 billion. ARK’s research puts the total satellite connectivity market opportunity at roughly $160 billion annually at scale, and Starlink is adding customers faster than any telecom network in history. That growth alone would justify a substantial valuation.
Additionally, ARK notes that SpaceX has reduced the cost per kilogram to orbit from roughly $15,600 in 2008 to under $1,000 today through reusable Falcon 9 hardware. A fully operational Starship targeting sub-$100 per kilogram would represent a significant cost decline and open markets that do not currently exist. SpaceX executed a staggering 165 missions in 2025 and now accounts for approximately 85% of all global orbital launches. That infrastructure position took decades to build and would be nearly impossible to replicate at comparable cost.
SpaceX officially acquires xAI, merging rockets with AI expertise
The February 2026 merger with xAI added a layer to the valuation that straightforward financial models struggle to capture. ARK argues that at sub-$100 launch costs, orbital data centers could deliver compute roughly 25% cheaper than ground-based alternatives, without power grid delays, permitting friction, or land constraints. Musk has stated a goal of deploying 100 gigawatts of AI computing capacity per year from orbit.
The $1.75 trillion figure itself is not a conventional earnings multiple. At roughly 95x trailing revenue, it prices in Starlink’s adoption curve, Starship’s cost trajectory, and the orbital compute thesis together. The public S-1 prospectus, due at least 15 days before the June roadshow, will give investors their first complete look at the financials to test those assumptions. ARK’s position is that the track record earns the benefit of the doubt. Fully reusable rockets were considered unrealistic for years. Starlink was considered financially unviable. Both happened on timelines that surprised skeptics.