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While excitement grows around AI models like DeepSeek, many overlook how close this brings large-scale robotaxi deployment. Tasha Keeney, CFA details ARK's robotaxi research in "The Brainstorm" and "Big Ideas 2025," both out now! Download Big Ideas:

28,410 Aufrufe • vor 1 Jahr •via X (Twitter)

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Profilbild von Joe Tegtmeyer 🚀 🤠🛸😎
Joe Tegtmeyer 🚀 🤠🛸😎vor 1 Jahr

Milestone day at Giga Texas! Here are a few images of the new Model Ys grouped at the Giga Texas outbound lot this morning! Is one of these yours? Exciting day to finally see so many being produced and this is just the very beginning!

Profilbild von Sam Korus
Sam Korusvor 1 Jahr

Satellite direct to device: when in roam

Profilbild von Cern Basher
Cern Bashervor 1 Jahr

Robotaxi in the USA - How large does the fleet need to be? (to update and reiterate) According to the Federal Highway Adminstration, drivers in the USA traveled 3.292 trillion miles over the 12 months ended November 2024. Testing Limits: What if a robotaxi network eventually becomes the lowest cost of transportation available - so low that everyone decides to stop owning/leasing vehicles (both ICE and EV) and just uses transportation as a service? How many autonomous vehicles would be needed in the USA to travel 3.292 trillion miles per year? To answer that question we need to figure out how many miles a robotaxi can travel in one year, and in order to determine that, we need to make some assumptions about vehicle utilization - because there are peak and off-peak demand periods. Using the utilization-based mileage numbers from my robotaxi model, we can see that the number of vehicles needed would range from 25 to 55 million - or just 9% to 19% of the current fleet of about 283 million vehicles in the USA. Objection: I hear you saying: "But, you fool, what about rural driving? It's going to take a very, very long time before rural driving is autonomous, if ever!" Okay, let's exclude all rural miles - which account for about 32% of all miles. Excluding rural miles, we can see that the number of vehicles needed would range from 17 to 37 million - or just 6% to 13% of the current fleet of about 283 million vehicles in the USA. Now, let's look at what could happen when transportation becomes so cheap that people decide to travel more miles - when price goes down, demand always goes up. Let's say our 3.292 trillion miles traveled rises to 5 trillion miles. In that case, we can see that the number of vehicles needed would range from 38 to 84 million - or 14% to 30% of the current fleet of about 283 million vehicles in the USA. And then if we factor out rural miles again... ...the number of vehicles needed would range from 26 to 57 million - or 9% to 20% of the current fleet of about 283 million vehicles in the USA. At some point, if the cost per mile gets low enough, then autonomous vehicles will operate in rural areas too. And, most certainly, it will encroach on short-haul air travel - why fly when you can skip security and take a nap in a robotaxi for a few hours? Conclusion: this quick analysis shows that robotaxis are an enormous long-term (20-yr) opportunity in the USA, not to mention in the rest of the world. Note: I understand that not all urban driving will become autonomous - even if it's so much cheaper - I'm just "exploring limits" here.

Profilbild von Sawyer Merritt
Sawyer Merrittvor 1 Jahr

Refreshed Model Ys coming out of Giga Texas 🔥

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1 Year Anniversary of Tesla Tesla Robotaxi Launch ... Reliving that 1st day! One year ago a small group or people including me received an invitation from Tesla_AI to be among the first to participate in the launch of the Tesla Robotaxi service. The launch took place in Austin Texas on 22 June 2025 and was punctuated by a lot of excitement, some uncertainty or what to expect, waiting for the app to download and then hailing the first ride as the small group of participants faced out in the initial service area and waited for their Robotaxi to arrive! For this initial launch, Tesla used Model Y's with the "Robotaxi" logos on the doors and rear hatch and had supervisors in the passenger seat but the cars all drove autonomously and did exceptionally well. We had all kinds of media trailing behind trying to get images, interviews or any information about our experiences, and this made for a surreal day, almost like paparazzi chasing after high-profile celebrities. Over the next year, the Robotaxi service would slowly scale to new cities, initially Austin and the San Fransisco areas, and then later to Houston and Dallas while preparations for several more cities were underway. The fleet did scale up but slowly, going through several revisions and updates of the autonomous software, becoming fully unsupervised and the fleet management aspects of the Robotaxi service were further developed. Regulatory permits and filings also took place to position the Robotaxi service for what we all hope will be large-scale expansion including the addition of the new Cybercabs, which are now in limited production and are testing multiple locations around the US. What will year 2 be like for Robotaxi? All indications are a very big year, but ultimately, Tesla needs to demonstrate they can execute on their plans, preparations and Cybercab production. I'm very hopeful they will be able to do so starting very soon! JC Christopher Doug 📐 JUSTIN ROTH Tesla Welt - german Podcast about Tesla Kalena Brown Chuck Cook Herbert Ong Tesla Owners Silicon Valley Ashok Elluswamy

Joe Tegtmeyer 🚀 🤠🛸😎

14,649 Aufrufe • vor 1 Monat

What's the Big Deal with DeepSeek in AI? Here's why DeepSeek is making everyone take notice: 1. Super Smart on a Budget: DeepSeek showed you can make awesome AI without breaking the bank. Their latest model, DeepSeek-V3, was trained for only about $10 million, which is a lot less than the usual big bucks spent on AI, like the rumored $78 million for some of OpenAI's models. They did this in just two months with fewer fancy computers. 2. Open for Everyone: DeepSeek isn't keeping their tech a secret. They've made it open-source, meaning anyone can use, tweak, and learn from it. It's like they're saying, "Come join the party!" 3. Beating the Big Names: DeepSeek-V3 has done better than some top dogs from companies like OpenAI and Google in solving puzzles, math, and coding. This proves you can get great AI results without spending a fortune. 4. Challenging NVIDIA: NVIDIA's chips are usually the choice for AI because they're really powerful. But since DeepSeek did so well with less expensive chips, it might make people think twice about always going for NVIDIA's priciest options. 5. The DeepSeek Crew: The team at DeepSeek is young and smart, mostly from top Chinese schools, with brains in physics, math, and computer science. They learned AI in about six months by themselves! They use first principle thinking, which means they break down problems to the basics and build from there. This has helped them come up with cool new ways to do AI. 6. Changing AI for Good: DeepSeek is showing that AI can be cheaper and more open to everyone. They're changing how we think AI should be made and shared, which could shake up the whole AI world. So, as we watch DeepSeek, it's clear they're not just another player; they're changing the rules of the game. I predicted that this would be a make or break year for all the massive investments made in AI by American VC's. A few weeks later, DeepSeek happens! Watch the rest of my predictions in my 2025 outlook video . Link in replies #AIInnovation #DeepSeek #NVIDIA #OpenAI #TechDisruption

Dr Ola Brown

83,460 Aufrufe • vor 1 Jahr