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Tesla former AI Director receives innovators award for work on deep neural networks and computer vision

(Credit: Tesla/YouTube)

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Former Tesla AI Director Andrej Karpathy was honored with the WTF Innovators Award for his contributions to the fields of deep neural networks and computer vision. The former Tesla executive was also lauded for his continued efforts to make AI more effective for humanity. 

The WTF Innovators Award aims to recognize “excellence at the precipice of societal change.” The award’s inaugural class is focused on AI innovators, and as a memento, each of the 34 awardees is gifted a featured song by artists QuHarrison Terry and Genesis Renji. Joining Karpathy are fellow AI stars like Dr. Fei-Fei Li, Kian Hooshmand, Jonas Andrulis, David Holz, and Amjad Masad, to name a few.

QuHarrison Terry, the presenter of the award, commended Karpathy for his significant research and achievements. As part of the recognition, Karpathy received a special gift in the form of a featured song titled “Andrej Slide,” which was produced by Nimso and performed by QuHarrison Terry and Genesis Renji.

Karpathy gained prominence through his pivotal role as the Senior Director of AI at Tesla, where he led the computer vision team responsible for Tesla’s autonomous driving efforts. Before his tenure at the electric vehicle maker, he served as a research scientist and founding member of OpenAI. In early 2023, he rejoined OpenAI to contribute his skills to the startup’s projects.

“Andrej Karpathy is core to developing systems that allow computers to ‘see.’ His dedication to this field of research is the reason that we’re nearing autonomous self-driving cars on the road. Now that he’s back working at OpenAI on a JARVIS-like project, I imagine that he’s working on multimodal language models and imbuing GPT with vision. He gave the world Autopilot and is now working on an intelligent assistant at OpenAI, which is why he should be on everyone’s radar,” Terry said in a press release.

Karpathy’s career in AI showed promise even before he became linked with Tesla or OpenAI. During his time as a graduate student at Stanford, Karpathy extended the techniques for developing convolutional neural networks (CNNs), which closely mimic the structure of neurons in the visual cortex. His research expanded the visual abilities of an AI system to recognize more than one object in an image, and thus comprehend what was happening in an entire scene.

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Karpathy’s contributions to the field also led to the creation of Stanford’s first deep learning class, CS231n, which continues to be one of the university’s most influential courses to this day.

Listen to the “Andrej Slide” here.

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.

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Elon Musk

Elon Musk says he knows how to save Earth for a billion years

Elon Musk says sentient AI satellites launched from the Moon could keep Earth livable forever.

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Elon Musk spent part of his weekend describing a plan to keep the planet livable for roughly a billion years, and it starts with satellites that can think for themselves.

In a post on X, Musk argued that swapping fossil fuels for solar and wind power will not be enough to protect humanity from what he called extremely severe extinction events, the kind that occur roughly every 100 million years. His fix is what he called sentient satellites, or solar-powered satellites, controlled by AI, that would sit in a fixed spot between Earth and the Sun after being launched off the Moon using a giant electromagnetic catapult instead of rockets.

The satellites’ onboard AI would make continuous, small adjustments rather than waiting on human instructions. The mass driver is Musk’s proposed way of getting the raw material there cheaply by using an electromagnetic launch track built on the Moon, where lower gravity and no atmosphere make it far easier to fling cargo into space than it is from Earth.

Musk shared a Grok generated estimate suggesting roughly 5 percent of Florida’s land, or about 1.68 million acres, could face regular flooding by 2070 under a high sea level rise scenario, and said humanity has about 50 years to act before coastal living looks very different than it does today.

This is not the first time Musk has floated the idea. He raised a similar concept in November, describing a solar powered AI satellite constellation that could make tiny adjustments to incoming sunlight to fine tune Earth’s temperature. Musk has also tied planetary risk to his broader vision at SpaceX, where his compensation package is explicitly linked to establishing a self-sustaining Mars colony, one he has described as an insurance policy against the kind of extinction event he referenced this weekend, and where he has said humans could set foot within five to seven years.

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Lifestyle

Police sergeant recounts his Neuralink journey with Elon Musk’s brain chip

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A former Vancouver police sergeant with ALS accounts his journey to become a patient for Elon Musk’s Neuralink wireless brain-computer interface technology.

“I’m texting you from my brain right now.” That was the first message Lee Marten sent after waking up from Neuralink surgery, five hours and one migraine after dozens of threads were stitched into his motor cortex.

Marten, a former Vancouver police sergeant, is one of the first Canadian ALS patients to receive Neuralink’s N1 brain implant, and the 26th recipient overall. He tells his story in a first-person account published by Maclean’s.

Marten recounts how he was a healthy, athletic Vancouver police sergeant until April 2022 when symptoms of muscle twitching and balance loss, were followed by a bad fall that broke his leg. He would eventually be diagnosed with ALS in early 2025 at the age of 47. ALS, also known as Lou Gehrig’s disease, is a fatal neurodegenerative disease that progressively destroys the motor neurons controlling voluntary muscle movement, eventually taking away a patient’s ability to walk, speak, swallow and breathe. There’s no cure, and most patients live two to five years after diagnosis.

He describes the devastation of the diagnosis and how he began preparing for it while connecting with other young ALS patients through a WhatsApp group called Young Guns. Through that group he learned about a Neuralink clinical trial at Toronto Western Hospital and, after a roughly seven-month vetting process (physical assessments, psychiatric evaluation, a final interview with the Neuralink team), was accepted this past April as the trial’s 26th recipient and the first Canadian ALS patient to get the N1 implant. He recounts the May surgery in detail, including the robotic system that stitched 64 threads into his brain, and describes the app, Link, translating his neural signals into cursor control, which he was using within hours of waking up.

Marten walks through what daily use looks like, including weekly “brain training” exercises, a real-time neural-activity display, charging the implant via a beanie-mounted MagSafe charger, and using the implant for emailing, texting, social media, and gaming via a “Magic Box” that connects it to other devices. He also gives brief context on brain-computer interface history and quite candid about Musk, calling him “divisive” but saying he found him “easy to admire.

The piece closes on a heavier note, with Marten seeking to pursue medical assistance in dying as his symptoms progressed, noting that he’ll be able to communicate his final words to his family through Neuralink rather than facing a silent decline. He expresses hope the data from his case will help future ALS patients, even without a cure in his own lifetime.

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Investor's Corner

Tesla Robotaxi gets a massive upgrade in Nevada

Nevada regulators just approved a massive expansion of Tesla’s robotaxi fleet across the entire county.

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Concept art of a Tesla Cybercab in Las Vegas Strip as rendered via Grok

Tesla’s robotaxi footprint in Nevada just grew by roughly 500 times in a single regulatory vote.

The Nevada Transportation Authority approved Tesla’s full Autonomous Vehicle Network Company permit on Thursday, clearing the way for the company to deploy up to 5,000 driverless vehicles across Clark County over the next 12 months. The decision came during a four hour general session meeting that Tesla investor Sawyer Merritt watched live and reported on X, noting the vote replaces the interim order that had limited Tesla to just 10 robotaxis on a narrow stretch of the Las Vegas Strip.

That earlier cap, covered here after it surfaced on August 13, came with restrictions that looked stricter than what Tesla runs in Austin: a 45 mph speed ceiling, no airport pickups, and a geofence confined to the Strip corridor. The new approval extends Tesla’s operating authority to all of Clark County, with room to request an even wider geofence across the state.

Tesla representatives at the meeting said they have no intention of putting 5,000 cars on the road right away. Commercial rides are expected to start within 30 days, pending vehicle inspections, insurance filings, and fare approval, the standard steps every robotaxi operator in Nevada has had to clear.

Tesla’s own Robotaxi account replied to the news with a short line, The golden future is upon us.

The timing lines up with Tesla’s broader robotaxi push this month. The company is preparing to open Cybercab rides to the public in Austin as soon as this month, and it opened a sweepstakes for riders to win a seat at the launch event. Tesla filed its original application for a 5,000 vehicle Nevada fleet back in June, a request regulators trimmed to 10 vehicles when they issued the interim order in July. Thursday’s vote effectively grants the number Tesla asked for from the start.

Zoox, the Amazon owned robotaxi operator, has run in Nevada since 2025 and was capped at 100 vehicles before Thursday’s decision. Tesla’s new ceiling puts it well ahead of that comparison on paper, though the company has said its actual fleet size will depend on how quickly FSD v15 rolls out, the software update executives have called the gateway to scaling unsupervised robotaxi operations nationwide.

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