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Elon Musk’s xAI launches Grok-3: What you need to know

Credit: xAI/X

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Elon Musk’s artificial intelligence startup, xAI, has launched the most powerful iteration of its Large Language Model (LLM), Grok-3. 

Grok-3’s was formally announced in a livestream on social media platform X.

Grok-3:

  • As per Elon Musk during xAI’s livestream, “Grok 3 is an order of magnitude more capable than Grok 2.”
  • Grok-3 is the product of xAI’s Colossus supercluster, which is currently comprised of 200,000 GPUs.
  • xAI noted that Colossus is the world’s largest fully connected H100 supercluster of its kind.
  • What is quite amazing is that xAI doubled the size of Colossus from 100,000 GPUs to 200,000 in just 92 days.
  • For context, it took xAI 122 days to get the first 100k GPUs running for its Colossus supercluster.
  • Grok-3 completed pre-training in early January. It involved over 10x more training than its predecessor, Grok-2.
  • xAI also introduced a smart search engine with Grok-3, called DeepSearch.

Grok-3 potential:

  • Grok-3 is currently being offered to social media platform X’s Premium+ subscribers.
  • xAI has also launched a new subscription, SuperGrok, for the LLM’s mobile app and Grok.com website.
  • Initial benchmark tests for Grok-3 have been very optimistic, with the new AI outperforming other large language models in its category.
  • Grok-3 also reached a score of 1400 on Chatbot Arena, the first model to achieve such a rating. 

xAI speed:

  • During the xAI Engineering Open House event in San Francisco last year, Elon Musk shared a quote that stood out to the event’s attendees.
  • During his talk, Musk reportedly emphasized that speed in innovation is of the utmost importance.
  • “No SR-71 Blackbird was ever shot down and it only had one strategy: to accelerate,” Musk wrote.
  • Ultimately, it is difficult not to be impressed with xAI’s speed. After all, it has only been 17 months since the company started kicking off its very first model.
  • xAI also started its operations several years behind industry leaders such as OpenAI and Google.

Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

Elon Musk

SpaceX Starship Flight 10 was so successful, it’s breaking the anti-Musk narrative

That’s all the proof one could need about the undeniable success of Starship Flight 10.

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Credit: Elon Musk/X

Starship Flight 10 was a huge success for SpaceX. When both the Super Heavy booster and the Starship Upper Stage successfully landed on their designated splashdown zones, the space community was celebrating.

The largest and most powerful rocket in the world had successfully completed its tenth test flight. And this time around, there were no rapid unscheduled disassemblies during the mission.

As per SpaceX in a statement following Flight 10, “every major objective was met, providing critical data to inform designs of the next generation Starship and Super Heavy.” The private space enterprise also stated that Flight 10 provided valuable data by stressing the limits of Starship’s capabilities.

With all of Flight 10’s mission objectives met, one would think that it would be pretty easy to cover the story of Starship’s successful tenth test flight. But that’s where one would be wrong, because Elon Musk companies, whether it be Tesla or SpaceX or xAI, tend to attract negative slant from mainstream media outlets.

This was in full force with Starship Flight 10’s coverage. Take the BBC’s Facebook post about the fight test, which read “Elon Musk’s giant rocket, earmarked for use in a 2027 mission to the Moon, has had multiple catastrophic failures in previous launches.” CNN was more direct with its slant, writing “SpaceX’s troubled Starship prototype pulls off successful flight after months of explosive mishaps” on its headline. 

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While some media outlets evidently adopted a negative slant towards Starship’s Flight 10 results, several other media sources actually published surprisingly positive articles about the successful test flight. The most notable of which is arguably the New York Times, which featured a headline that read “SpaceX’s Giant Mars Rocket Completes Nearly Flawless Test Flight.” Fox News also ran with a notably positive headline that read “SpaceX succeeds at third Starship test flight attempt after multiple scrubs.”

Having covered Elon Musk-related companies for the better part of a decade now, I have learned that mainstream coverage of any of his companies tends to be sprinkled with varying degrees of negative slant. The reasons behind this may never be fully explained, but it is just the way things are. This is why, when milestones such as Starship’s Flight 10 actually happen and mainstream media coverage becomes somewhat objective, I can’t help but be amazed. 

After all, it takes one heck of a company led by one heck of a leader to force objectivity on an entity that has proven subjective over the years. And that, if any, is all the proof one could need about the undeniable success of Starship Flight 10.

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Elon Musk

Tesla’s Elon Musk takes another shot at Waymo’s capabilities stemming from LiDAR

“LiDAR also does not work well in snow, rain or dust due to reflection scatter. That’s why Waymos stop working in any heavy precipitation.”

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Tesla CEO Elon Musk has frequently expressed his opinions on LiDAR in the past, but in recent days, the EV maker’s frontman has continued to discuss the weaknesses in the technology and why his company has relied on cameras.

He also mentioned the suite’s limits on Waymo’s capabilities.

Tesla completely abandoned using radar alongside its camera suite a few years ago, something it referred to as “Tesla Vision” at the time. For its vehicles, it has only used cameras since this transition, and Musk has never once shied away from this strategy.

Earlier this week, he discussed the reliance of LiDAR and radar by other companies:

“Lidar and radar reduce safety due to sensor contention. If lidars/radars disagree with cameras, which one wins?

This sensor ambiguity causes increased, not decreased, risk. That’s why Waymos can’t drive on highways.

We turned off radars in Teslas to increase safety. Cameras ftw.”

Elon Musk argues lidar and radar make self driving cars more dangerous

He continued with this narrative again and mentioned Waymo specifically on a second occasion.

Musk’s focus this time was on Waymo vehicles and their capabilities in adverse weather, specifically snow, rain, or even dust storms, and how LiDAR struggles to navigate in these conditions.

He said:

“LiDAR also does not work well in snow, rain or dust due to reflection scatter. That’s why Waymos stop working in any heavy precipitation. As I have said many times, there is a role for LiDAR in some circumstances and I personally oversaw the development of LiDAR for the SpaceX Dragon docking with Space Station. I am well aware of its strengths and weaknesses.”

Tesla’s approach is significantly different than most companies. Waymo, Motional, Aurora, and Zoox all use LiDAR for their self-driving programs, while Tesla continues to rely on its camera-only approach.

Musk even said that Model S and Model X utilized a Tesla-developed high-resolution radar, but it could not “compare to passive optical (cameras), so we turned it off.”

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Tesla reveals it has expanded its Robotaxi fleet in Austin

there has never been an exact count of the Robotaxi fleet size, and Tesla continues to speak in cryptic fashion, only hinting at what the number of active vehicles could be.

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(Credit: Tesla)

Tesla revealed that it has expanded its Robotaxi fleet in Austin, Texas, but has not yet disclosed the exact number of vehicles currently operating as driverless ride-hailing cars in the city.

Before Tesla launched the Robotaxi fleet in Austin on June 22, CEO Elon Musk stated that the fleet would be initially small, comprised of between ten and twenty vehicles in total.

The small fleet size was a way to limit rides and not overwhelm the company as it launched into a new territory: offering driverless rides to those looking to get around Austin. With safety being prioritized, it was understood.

However, there has never been an exact count of the Robotaxi fleet size, and Tesla continues to speak in cryptic fashion, only hinting at what the number of active vehicles could be.

On Tuesday, it expanded its geofence for the third time, increasing the service area in Austin beyond the downtown area and into the suburbs, including the airport and even the Gigafactory Texas.

Tesla one-ups Waymo once again with latest Robotaxi expansion in Austin

The size of the geofence is now 173 square miles, up from 91 square miles, which is what it grew to in early August with its second expansion.

The company also said it “increased the number of cars available by 50 percent,” but would not give an exact count:

Skeptics of the Robotaxi platform usually point to two things: the presence of a Safety Monitor in the vehicle and the lack of transparency regarding fleet size.

Tesla has done an excellent job of expanding the service area over the past two months, but it is also expanding the number of people it allows to hail a Robotaxi.

This makes the need for an increased fleet size more imperative.

However, no good reason comes to mind for the company not to tell an exact number, but Tesla has its justifications for it. Grok suggests the Robotaxi fleet could be anywhere from 30 to 75 vehicles in total, but this includes the Bay Area.

Musk did say Tesla is working to get the Bay Area fleet to over 100 vehicles. Hopefully, some clarification regarding fleet size will be provided in the coming weeks or months as the service area in Austin continues to expand.

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