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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.
Tesla expanded its new Full Self-Driving program, which gives people the opportunity to experience the company’s suite, in Europe.
Tesla recently launched an opportunity for Europeans to experience Full Self-Driving, not in their personal vehicles, but through a new ride-along program that initially launched in Italy, France, and Germany back in late November.
People could experience it by booking a reservation with a local Tesla showroom, but timeslots quickly filled up, making it difficult to keep up with demand. Tesla expanded the program and offered some additional times, but it also had its sights set on getting the program out to new markets.
It finally achieved that on December 9, as it launched rides in Denmark and Switzerland, adding the fourth and fifth countries to the program.
Tesla confirmed the arrival of the program to Denmark and Switzerland on X:
Now available in Denmark & Switzerland
🇩🇰 https://t.co/IpCSwHO566 https://t.co/V2N5EarLNX
— Tesla Europe & Middle East (@teslaeurope) December 9, 2025
The program, while a major contributor to Tesla’s butts in seats strategy, is truly another way for the company to leverage its fans in an effort to work through the regulatory hurdles it is facing in Europe.
Tesla has faced significant red tape in the region, and although it has tested the FSD suite and been able to launch this ride-along program, it is still having some tremendous issues convincing regulatory agencies to allow it to give it to customers.
CEO Elon Musk has worked with regulators, but admitted the process has been “insanely painful.”
The most recent development with FSD and its potential use in Europe dealt with the Dutch approval authority, known as the RDW.
Tesla says Europe could finally get FSD in 2026, and Dutch regulator RDW is key
Tesla said it believes some regulations are “outdated and rules-based,” which makes the suite ineligible for use in the European jurisdiction.
The RDW is working with Tesla to gain approval sometime early next year, but there are no guarantees. However, Tesla’s angle with the ride-along program seems to be that if it can push consumers to experience it and have a positive time, it should be easier for it to gain its footing across Europe with regulatory agencies.
News
Tesla ramps hiring for Roadster as latest unveiling approaches
Tesla published three new positions for the Roadster this week, relating to Battery Manufacturing, General Manufacturing, and Vision Engineering.
Tesla is ramping up hiring for positions related to the Roadster program, the company’s ultra-fast supercar that has been teased to potentially hover by CEO Elon Musk.
The company seems to be crossing off its last handful of things before it plans to unveil the vehicle on April Fool’s Day, just about four months away.
Tesla published three new positions for the Roadster this week, relating to Battery Manufacturing, General Manufacturing, and Vision Engineering. All three are located in Northern California, with two being at the Fremont Factory and the other at the company’s Engineering HQ in Palo Alto.
Technical Program Manager, Battery Manufacturing
Located in Fremont, this role specifically caters to the design of the Roadster to factory operations. It appears this role will mostly have to do with developing and engineering the Roadster’s battery pack and establishing the production processes for it:
“You will foster collaboration across design engineering, manufacturing, quality, facilities, and production to align with company priorities. Additionally, you will understand project opportunities, challenges, and dependencies; translate scattered information into concise, complete messages; and communicate them to every team member. As the business process development lead, you will develop, maintain, and implement tools and processes to accelerate battery manufacturing execution, achieve cross-functional alignment, and deliver highly efficient systems.”
Manufacturing Engineer, Roadster
Also located in Fremont, this role also has to deal with the concept development and launch of battery manufacturing equipment. Tesla says:
“In this role, you will take large-scale manufacturing systems for new battery products and architectures from the early concept development stage through equipment launch, optimization, and handover to local operations teams.”
Manufacturing Vision Engineer, Battery Vision
This position is in Palo Alto at Tesla’s Engineering Headquarters, and requires the design and scale of advanced inspection and control systems to next-generation battery products:
“You’ll work on automation processes that directly improve battery performance, quality, and cost, collaborating with world-class engineers in a fast-paced, hands-on environment.”
Developing and deploying 2D and 3D vision and measurement systems from proof-of-concept to deployment on high-volume battery manufacturing lines is part of the job description.
Roadster Unveiling
Tesla plans to unveil the Roadster on April 1, and although it was planned for late this year, it is nice to see the company put out a definitive date.
Musk said on the Joe Rogan Experience Podcast in late October:
“Whether it’s good or bad, it will be unforgettable. My friend Peter Thiel once reflected that the future was supposed to have flying cars, but we don’t have flying cars. I think if Peter wants a flying car, he should be able to buy one…I think it has a shot at being the most memorable product unveil ever.”
Production should begin between 12 to 18 months after unveiling, so we could see it sometime in 2027.
Investor's Corner
Tesla Full Self-Driving statistic impresses Wall Street firm: ‘Very close to unsupervised’
The data shows there was a significant jump in miles traveled between interventions as Tesla transitioned drivers to v14.1 back in October. The FSD Community Tracker saw a jump from 441 miles to over 9,200 miles, the most significant improvement in four years.
Tesla Full Self-Driving performance and statistics continue to impress everyone, from retail investors to Wall Street firms. However, one analyst believes Tesla’s driving suite is “very close” to achieving unsupervised self-driving.
On Tuesday, Piper Sandler analyst Alexander Potter said that Tesla’s recent launch of Full Self-Driving version 14 increased the number of miles traveled between interventions by a drastic margin, based on data compiled by a Full Self-Driving Community Tracker.
🚨 Piper Sandler reiterated its Overweight rating and $500 PT on Tesla $TSLA stock
Analyst Alexander Potter said FSD is near full autonomy and latest versions showed the largest improvement in disengagements, from 440 miles to 9,200 miles between critical interventions pic.twitter.com/u4WCLfZcA9
— TESLARATI (@Teslarati) December 9, 2025
The data shows there was a significant jump in miles traveled between interventions as Tesla transitioned drivers to v14.1 back in October. The FSD Community Tracker saw a jump from 441 miles to over 9,200 miles, the most significant improvement in four years.
Interestingly, there was a slight dip in the miles traveled between interventions with the release of v14.2. Piper Sandler said investor interest in FSD has increased.
Full Self-Driving has displayed several improvements with v14, including the introduction of Arrival Options that allow specific parking situations to be chosen by the driver prior to arriving at the destination. Owners can choose from Street Parking, Parking Garages, Parking Lots, Chargers, and Driveways.
Additionally, the overall improvements in performance from v13 have been evident through smoother operation, fewer mistakes during routine operation, and a more refined decision-making process.
Early versions of v14 exhibited stuttering and brake stabbing, but Tesla did a great job of confronting the issue and eliminating it altogether with the release of v14.2.
Tesla CEO Elon Musk also recently stated that the current v14.2 FSD suite is also less restrictive with drivers looking at their phones, which has caused some controversy within the community.
Although we tested it and found there were fewer nudges by the driver monitoring system to push eyes back to the road, we still would not recommend it due to laws and regulations.
Tesla Full Self-Driving v14.2.1 texting and driving: we tested it
With that being said, FSD is improving significantly with each larger rollout, and Musk believes the final piece of the puzzle will be unveiled with FSD v14.3, which could come later this year or early in 2026.
Piper Sandler reaffirmed its $500 price target on Tesla shares, as well as its ‘Overweight’ rating.
Tesla expands new Full Self-Driving program in Europe
Tesla ramps hiring for Roadster as latest unveiling approaches
