Tesla has issued yet another giant update for its Full Self Driving (FSD) software, dramatically improving vehicle behavior in numerous situations.
Despite the controversy that seems to consistently surround Tesla’s autonomous driving suite, it just keeps improving, with new features and capabilities added at an astounding rate. Now, Tesla has issued yet another dramatic update to Full Self Driving, bringing significant improvements in vehicle intelligence and the dream of fully autonomous vehicles one step closer to reality.
@Winnersechelon first reported the newest FSD update on Twitter, posting a screenshot of the release notes for the update.
Release notes for latest FSD Beta release pic.twitter.com/0lDmZbmEUb
— TeslaBull FSD BETA (@Winnersechelon) April 17, 2023
Perhaps more than previous updates, 11.4 focuses on vastly improving vehicle behavior, with new features taking a back seat. According to Tesla’s release notes, those improvements are seen throughout numerous environments.
Foremost, Tesla FSD is better than ever at recognizing and reacting to pedestrians that are either about to cross the street or are already doing so. This stems from an improvement in kinematic calculations, which allows the vehicle to predict where people, vehicles, and objects are going. Regarding pedestrians, the vehicle will act more smoothly, either progressing through the intersection or stopping.
This improvement also extends to other “vulnerable road users,” such as bikers and cyclists, which Tesla FSD will now react more quickly to and slow down for if necessary.
Another improvement that urbanites can enjoy is in “turn performance.” When in dense city areas or unexpected turns, the vehicle will now follow the turn more correctly, dodging parked vehicles and avoiding bus lanes. This improvement is paired with an update to bus lane recognition overall, helping to prevent the vehicle from being where it isn’t supposed to be.
Other updates focus on improving performance in more rural areas. One such improvement is improved lane, line, and edge of road detection, which can be helpful in areas with less consistent road painting and paving. This update feeds into two others, improved lane guidance, ensuring the vehicle is in the correct lane to reach its destination, and improved prediction of the movement of “partial cut-ins,” or cars that haven’t wholly dedicated to a lane. Tesla’s massive library of clips and auto-labeling system makes both upgrades possible.
In the case of improved lane guidance, Tesla states that this update will reduce driver interventions by 64%, ensuring the vehicle isn’t in the wrong lane and reaches the destination more consistently.
Another update affecting how Tesla vehicles behave in lanes is lane change speed control. Tesla FSD will now consider “upcoming navigation deadlines” and will use more or less speed if necessary to switch lanes. Moreover, the vehicle will more accurately calculate the number of lanes it needs to change, thanks to Tesla’s ever-improving vehicle network.
Vehicle speed also improves in countless other situations as well. Thanks to Tesla’s all-new “Vision Speed” network, its network of vehicles can now infer the typical driving speed of any given roadway, improving how the vehicle reacts to areas that typically require lower speeds, such as neighborhoods or parking lots.
The final speed update regards how the vehicle reacts to the weather. The max autopilot speed will now take into account current weather conditions and limit driving speed if visibility or traction is too poor. According to Tesla’s release notes, this calculation is quite advanced, as it will take into account not only its condition, such as tire tread, and its data on visibility and road wetness, but it will also account for outside factors, such as tire spray from other vehicles and traffic intensity.
The final two updates are far more general and will improve the vehicle’s autonomous operation overall. First, Tesla has improved “long-range path blockage,” meaning that its vehicles will more quickly merge into other lanes to avoid obstacles in the road. Second, Tesla has reduced “photon-to-control” latency by 2%, meaning the vehicle will react 2% faster to anything it “sees.”
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“Foundation:” Elon Musk wants to send a record of Grokipedia to space
The idea sounds outlandish, though it is also something that is in character for the CEO.
Elon Musk has announced one of his latest initiatives, and it is every bit as sci-fi as it is surprisingly grounded. In a post on X, Musk stated that Grokipedia, xAI’s new open-source encyclopedia, will be etched into stable oxide and launched into space.
The idea sounds outlandish, though it is also something that is in character for the CEO.
Preserving human knowledge among the stars
Musk posted his plan following the launch of Grokipedia’s V0.1’s iteration. The CEO congratulated the xAI team for the online encyclopedia’s launch, though he also stated that the goal for Grokipedia is to create an open-source collection of knowledge. This would then be distributed to the cosmos.
“Nice work by the xAI team on Grokipedia! The goal here is to create an open source, comprehensive collection of all knowledge. Then place copies of that etched in a stable oxide in orbit, the Moon, and Mars to preserve it for the future. Foundation,” Musk wrote in his post.
While seemingly outlandish, this is not the first time that a record of human knowledge of sorts was sent out to space. In 1977, the Voyager Golden Record was launched aboard NASA’s Voyager 1 and 2 spacecraft. The record contains sounds and images that ere aggregated to portray the diversity of the Earth’s culture. Of course, Musk’s plan with Grokipedia, is infinitely more ambitious.
Grokipedia and AI neutrality
Musk launched Grokipedia as an AI-driven alternative to Wikipedia, designed to eliminate the human biases that could affect conventional online knowledge platforms. The system is powered by xAI’s Grok, which scrape and summarize information from across the internet, offering balanced and nuanced coverage of topics ranging from science and technology to culture and politics.
Unlike Wikipedia’s human-edited format, Grokipedia would be able to evolve through machine learning, reading vastly more material than any editorial team could. Early testers, including Wikipedia co-founder Larry Sanger, praised its initial version as “very OK” and potentially more neutral than Wikipedia. Musk agreed, stating that even in its V0.1 form, Grokipedia is “already better than Wikipedia.”
News
Tesla Cybertrucks to save Las Vegas police thousands in fuel and maintenance
Sheriff Kevin McMahill unveiled the new vehicles on Monday, describing them as “the next evolution to keep our community safer than it’s ever been.”
The Las Vegas Metropolitan Police Department has officially unveiled its fleet of Tesla Cybertrucks as part of its push toward a more advanced, cost-efficient, and sustainable patrol system.
Sheriff Kevin McMahill unveiled the new vehicles on Monday, describing them as “the next evolution to keep our community safer than it’s ever been.” The trucks are expected to begin service across all area commands within two weeks.
High-tech patrol fleet
Each UP.FIT-modified Cybertruck has been customized with ladders, shields, and less-lethal equipment to support law enforcement operations. The vehicles will connect to a live drone response hub capable of facial recognition and gunshot detection, enabling drones to launch automatically when alerts trigger. The system streams real-time footage directly to responding officers, enhancing both speed and situational awareness during emergencies.
Officers have already completed training with the new fleet and offered feedback on its performance, according to Fox 5 Vegas. Sheriff McMahill noted that the trucks, along with robot dogs and SWAT vehicles, represent a coordinated effort to combine human expertise with emerging technologies. The Cybertruck rollout was made possible through a donation from the Horowitz family.
Cybertrucks’ major savings
The department’s ten UP.FIT patrol Cybertrucks are among the most American-made law enforcement vehicles available, featuring roughly twice the domestic parts content of comparable Ford and Chevrolet patrol trucks. Beyond their build quality, the electric fleet offers major cost benefits. Each Cybertruck is projected to save between $8,800 and $12,000 in annual fuel costs and roughly $3,540 in maintenance over a five-year service life.
With regenerative braking, factory ballistic-resistant doors, and no idling fuel burn, the Cybertruck platform provides higher uptime, lower total cost of ownership, and a quieter patrol experience, all while reducing the department’s carbon footprint. Sheriff McMahill confirmed each area command will receive one of the new patrol units.
News
Tesla Sweden faces new pressure in Sweden as Assa Abloy joins union action
The sympathy strike will block Assa Abloy’s 330 employees across six Swedish facilities from servicing or maintaining locks and gates used at Tesla Sweden’s sites.
The labor standoff between Tesla and Sweden’s IF Metall union has widened again, this time pulling in Assa Abloy Industrial, a manufacturer of industrial doors and locks.
IF Metall announced a new sympathy strike halting all Assa Abloy services for Tesla, set to take effect November 4, according to Dagens Arbete (DA). The move is aimed at further pressuring Tesla into signing a collective agreement after nearly two years of ongoing labor conflict.
New strike targets Tesla’s industrial operations
The sympathy strike will block Assa Abloy’s 330 employees across six Swedish facilities from servicing or maintaining locks and gates used at Tesla Sweden’s sites. IF Metall hopes the measure will disrupt Tesla’s daily operations and highlight the growing solidarity among Swedish companies.
Assa Abloy becomes the latest in a line of firms drawn into the dispute, with the Swedish Mediation Institute now logging fourteen conflict notices since September. The escalation shows that unions and partner industries are aligning to support of IF Metall’s campaign to secure a collective bargaining deal, something Tesla has consistently resisted.
IF Metall says Tesla must understand Sweden’s labor model
IF Metall chair Marie Nilsson recently reiterated her call for Tesla Sweden to reconsider its stance on organized labor, noting that Sweden’s union system differs sharply from the more adversarial model in the United States.
“I can certainly understand that Elon Musk and Tesla are skeptical of the trade union movement,” Nilsson said. “They have experience with American unions that operate in a completely different environment and that have to be militant in a different way.”
Nilsson emphasized that Swedish unions function cooperatively and that signing a collective agreement locally does not commit Tesla to similar deals elsewhere. “Let’s give us a chance,” she added. “It is the practical system we have here to regulate the conditions.”
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