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Tesla Robotaxi waitlist now open to all

The autonomous service is available only in Austin. In the Bay Area, there is a person in the driver’s seat using supervised Full Self-Driving.

Rani Molla

9/4/25 9:36AM

Last month when Tesla CEO Elon Musk said the company’s Robotaxi service would be “open access” in September, we had some reservations about what that really meant. Now we have a little more clarity. The company announced last night that everyone with an iPhone can download the app and join a waitlist where it’s “expanding access soon.” The Android app is coming “in the future.”

Tesla’s autonomous Robotaxi service is available via roughly 30 vehicles in Austin and features a human safety monitor in the passenger seat. Tesla’s more traditional Uber-like ride-sharing service is available in the Bay Area with an undisclosed number of cars. For that service, a driver sits in the driver’s seat and uses Tesla’s supervised Full Self-Driving technology, which requires drivers to pay attention and keep their hands on the wheel.

The app helpfully provides this distinction: “If your ride is taking place without a safety driver present in the driver’s seat, it is being conducted autonomously... If your ride is taking place with a safety driver present in the driver’s seat, it is being conducted using FSD (Supervised).”

I joined the waitlist this morning and will let you know more details when I get in and can book a ride.

Robotaxi app now available to all

Download to join waitlist – expanding access soon pic.twitter.com/gYsB3ZkbZB
— Tesla Robotaxi (@robotaxi) September 4, 2025

Tesla’s stock is up nearly 1% premarket. Uber’s is basically unchanged.

Jon Keegan

Altman: We do “weird” things like building massive data centers so there will be “universal prosperity”

OpenAI’s CEO spelled out the company’s principles for AGI in a blog post.

12th Breakthrough Prize Ceremony - Arrivals

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Let Tim Cook

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Apple is on its way to becoming the biggest smartphone seller in China

The memory crunch has made iPhones a more popular alternative as competitors’ prices rise.

Jon Keegan12h

Microsoft loses exclusive access to OpenAI’s models and tools while ending revenue-sharing deal with ChatGPT maker

Microsoft shares dropped as it announced a revised agreement with OpenAI.

The amended agreement ends revenue-sharing payments from Microsoft to OpenAI, and also ends Microsoft’s exclusive access to OpenAI’s intellectual property (i.e. models and products).

OpenAI’s revenue sharing with Microsoft will end in 2030, is subject to a total cap, and is no longer dependent on its achieving artificial general intelligence.

Amazon, a likely beneficiary of this lack of exclusivity, initially popped on the news but erased those gains.

This is a developing story.

The next phase of the Microsoft-OpenAI partnership - The Official Microsoft Blog

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China just blew up one of Meta’s key AI bets

China has ordered Meta to unwind its $2 billion acquisition of Manus, a Chinese startup (since relocated to Singapore) that makes AI agents and was central to Meta’s push to turn its massive AI investments into a real business. The move is part of the Chinese government’s effort to stop US firms from gaining access to Chinese talent and intellectual property, as Washington continues to restrict sales of advanced AI chips to Chinese companies.

Unlike its tech peers, which can sell AI through cloud services, Meta mainly uses AI to improve its existing ad business rather than as a stand-alone revenue driver. The decision strips away one of Meta’s clearest paths to monetizing AI — leaving it spending like a hyperscaler, without a hyperscaler business model.

China blocks Meta's $2 billion acquisition of AI startup Manus

Jon Keegan4/24/26

DeepSeek releases new V4 series models highlighting efficiency and long context

Chinese AI lab DeepSeek has released a major new version of its eponymous open-source AI models that are nipping at the heels of leading frontier models in some areas.

The most significant DeepSeek-V4 Pro and DeepSeek-V4 Flash both have a 1 million-token context — the amount of information the model can actively work with in a single session — which is a crucial feature for complex, long-running coding tasks.

DeepSeek rebuilt how the models process information under the hood, making them substantially more efficient — and that efficiency is what makes the large context window actually usable.

Also, the new models’ coding skills have closed the gap with the major frontier models from Anthropic, OpenAI, and Google.

The authors of the model acknowledge some of V4’s shortcomings, such as its lower scores on reasoning benchmarks, saying that V4 “trails state-of-the-art frontier models by approximately 3 to 6 months.”

As open-weight models, V4 can be run on any user’s own hardware, making the V4 models among the top-performing open-source models out there. V4’s large context and token efficiency are especially significant among open-source models.

But like with earlier DeepSeek models, don’t ask it about Tiananmen Square.

DeepSeek Unveils Flagship AI Model a Year After Breakthrough