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Elon Musk talks AI, free speech with Israel PM Benjamin Netanyahu
Israel Prime Minister Benjamin Netanyahu met with Tesla CEO Elon Musk on Monday in a live-streamed conversation on subjects like artificial intelligence (AI), free speech, and more. Most prominently, the two parties discussed the emerging landscape of AI and how to mitigate potential risks from the technology.
Netanyahu live-streamed the roughly 40-minute conversation, which took place in San Francisco, California, on X on Monday morning. The meeting was a part of a series of discussions Netanyahu plans to have with world AI leaders.
During the conversation, Netanyahu asked Musk how he thought the global rewards of AI could be maximized while minimizing its potential risks.
“I’ve actually met with a number of world leaders to talk about AI risk, because I think for a lot of people, unless you’re really invested in the technology, you don’t know just how significant the risk can be,” Musk responded.
Elon Musk: AI poses a ‘civilizational risk’ if not regulated
Musk and Netanyahu also discussed various applications of AI, including potential uses like senior care and precision agriculture. Additionally, Musk noted that AI might look different than some people imagine, highlighting the massive, heat-producing data centers required to power artificial general intelligence (AGI) systems.
“If you see a movie like, say, Terminator, the intelligence appears to be in the robot,” Musk said. “But actually, the intelligence is in large data centers, large server centers. And you see some of these data centers, you just see computers, like, you can practically see the curvature of the Earth. That’s how long the corridors are.”
Musk described the “gigantic, massive warehouses” that are needed to house these kinds of servers, saying that, in some cases, these buildings could hold hundreds of thousands of computers. He went on to explain that this is what would be needed for “extreme digital superintelligence.”
Hundreds of protestors also gathered outside the San Francisco meeting, criticizing Netanyahu’s recent judicial overhaul plan, which seeks to cancel a key “reasonableness standard” in the country. When the meeting was first announced, Musk said he got “the most amount of negative pushback from people at Tesla about this interview than anything else” he has done in the past.
In the meeting, Netanyahu also asked Musk to condemn anti-semitism within the confines of free speech, commenting that free speech was a “foundational” part of democracy. The question came after the Tesla CEO threatened to sue the Anti-Defamation League in recent weeks over a study claiming that X has seen a rise in hate speech since Musk took over.
“I hope you find within the confines of the First Amendment, the ability to stop not only anti-semitism, or roll it back as best you can, but any collective hatred of a people that anti-semitism represents,” Netanyahu said. “And I know you’re committed to that, and I hope you succeed in it. It’s not an easy task, but I encourage you and urge you to find the balance — it’s a tough one.”
“I’m sort of against attacking any group,” Musk responded. “Doesn’t matter who it is, I’m in favor of that which furthers civilization and which ultimately leads us to become a space-faring civilization, where we understand the nature of the universe.”
“We can’t do that if there’s a lot of infighting and hatred and negativity, so obviously I’m against antisemitism,” Musk added.
Following the one-on-one meeting, Netanyahu and Musk also had an AI roundtable discussion with OpenAI President Greg Brockman and MIT physicist Max Tegmark, which was also streamed on X.
You can watch the full conversation between Israel’s Prime Minister Benjamin Netanyahu and Tesla CEO Elon Musk below on X, or watch the roundtable discussion on AI here.
LIVE: Speaking with @elonmusk about how we can harness the opportunities and mitigate the risks of AI for the good of civilization. https://t.co/XiAQwOXzcP
— Benjamin Netanyahu – בנימין נתניהו (@netanyahu) September 18, 2023
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Tesla FSD v14.2.2 is getting rave reviews from drivers
So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Tesla Full Self-Driving (Supervised) v14.2.2 is receiving positive reviews from owners, with several drivers praising the build’s lack of hesitation during lane changes and its smoother decision-making, among others.
The update, which started rolling out on Monday, also adds features like dynamic arrival pin adjustment. So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Owners highlight major improvements
Longtime Tesla owner and FSD user @BLKMDL3 shared a detailed 10-hour impression of FSD v14.2.2, noting that the system exhibited “zero lane change hesitation” and “extremely refined” lane choices. He praised Mad Max mode’s performance, stellar parking in locations including ticket dispensers, and impressive canyon runs even in dark conditions.
Fellow FSD user Dan Burkland reported an hour of FSD v14.2.2’s nighttime driving with “zero hesitations” and “buttery smooth” confidence reminiscent of Robotaxi rides in areas such as Austin, Texas. Veteran FSD user Whole Mars Catalog also demonstrated voice navigation via Grok, while Tesla owner Devin Olsen completed a nearly two-hour drive with FSD v14.2.2 in heavy traffic and rain with strong performance.
Closer to unsupervised
FSD has been receiving rave reviews, even from Tesla’s competitors. Xpeng CEO He Xiaopeng, for one, offered fresh praise for FSD v14.2 after visiting Silicon Valley. Following extended test drives of Tesla vehicles running the latest FSD software, He stated that the system has made major strides, reinforcing his view that Tesla’s approach to autonomy is indeed the proper path towards autonomy.
According to He, Tesla’s FSD has evolved from a smooth Level 2 advanced driver assistance system into what he described as a “near-Level 4” experience in terms of capabilities. While acknowledging that areas of improvement are still present, the Xpeng CEO stated that FSD’s current iteration significantly surpasses last year’s capabilities. He also reiterated his belief that Tesla’s strategy of using the same autonomous software and hardware architecture across private vehicles and robotaxis is the right long-term approach, as it would allow users to bypass intermediate autonomy stages and move closer to Level 4 functionality.
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Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel.
The U.S. Department of War announced Monday an agreement with Elon Musk’s xAI to embed the company’s frontier artificial intelligence systems, powered by the Grok family of models, into the department’s bespoke AI platform GenAI.mil.
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.
xAI Integration
As noted by the War Department’s press release, GenAI.mil, its bespoke AI platform, will gain xAI for the Government’s suite of tools, which enable real-time global insights from the X platform for “decisive information advantage.” The rollout builds on xAI’s July launch of products for U.S. government customers, including federal, state, local, and national security use cases.
“Targeted for initial deployment in early 2026, this integration will allow all military and civilian personnel to use xAI’s capabilities at Impact Level 5 (IL5), enabling the secure handling of Controlled Unclassified Information (CUI) in daily workflows. Users will also gain access to real‑time global insights from the X platform, providing War Department personnel with a decisive information advantage,” the Department of War wrote in a press release.
Strategic advantages
The deal marks another step in the Department of War’s efforts to use cutting-edge AI in its operations. xAI, for its part, highlighted that its tools can support administrative tasks at the federal, state and local levels, as well as “critical mission use cases” at the front line of military operations.
“The War Department will continue scaling an AI ecosystem built for speed, security, and decision superiority. Newly IL5-certified capabilities will empower every aspect of the Department’s workforce, turning AI into a daily operational asset. This announcement marks another milestone in America’s AI revolution, and the War Department is driving that momentum forward,” the War Department noted.
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Tesla FSD (Supervised) v14.2.2 starts rolling out
The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Key FSD v14.2.2 improvements
As noted by Not a Tesla App, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures. New Arrival Options let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.
Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.
FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.
Key FSD v14.2.2 release notes
Full Self-Driving (Supervised) v14.2.2 includes:
- Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
- Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
- Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
- Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
- Camera visibility can lead to increased attention monitoring sensitivity.
Upcoming Improvements:
- Overall smoothness and sentience.
- Parking spot selection and parking quality.
Tesla FSD v14.2.2 is getting rave reviews from drivers
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
