A driverless Tesla Robotaxi and a Waymo autonomous vehicle make their way through roadwork on a residential street in Austin (Jay Janner/Getty Images)

Tesla says cameras are better than other sensors. Americans disagree.

70% of Americans would prefer autonomous cars to use both cameras and lidar.

Rani Molla

8/29/25 10:10AM

Tesla has staked its autonomous driving future on a relatively cheap solution: using cameras alone rather than a combination with the much more expensive lidar that its competitor, Google’s Waymo, employs to operate its self-driving cars. It’s a stance that puts Tesla at odds with most Americans, new data shows.

According to new survey data from Electric Vehicle Intelligence Report, some 70% of Americans said in August that autonomous vehicles should employ both cameras and lidar, while 71% said the government should require companies to use both.

(Of course, the vast majority Americans also say they wouldn’t consider riding in a robotaxi in the first place.)

Tesla is hoping that by keeping costs low for its cars, which are just a fraction of the price of Waymo’s, it will be able to scale its autonomous ambitions much more quickly and cheaply, since it says pretty much any of its cars on the road could potentially be self-driving with updated software.

Musk earlier this year predicted “millions of Teslas operating autonomously” by the end of 2026. So far Tesla’s Austin robotaxi program, which doesn’t have a driver but does have a safety monitor sitting in the passenger seat, has about 30 autonomous cars on the road.

Meanwhile, Waymo so far operates about 2,000 autonomous vehicles.

In a post on X Thursday, Tesla reiterated its stance, saying, “Pure vision beats sensors,” while showing a 3D map of traffic surrounding a Tesla, generated from its cameras.

Pure vision beats sensors pic.twitter.com/1z1sNaiOY4
— Tesla (@Tesla) August 29, 2025

Jon Keegan4h

FT: Meta considering “tens of billions” in new capital to fund AI

Just days after Google announced a monster $85 billion upsized equity raise, the extremely profitable Meta is seeking to sell “tens of billions of dollars” in stock, according to a new report from the Financial Times.

Meta is planning on spending between $125 billion and $145 billion on AI capital expenditure this year alone.

Shares dropped more than 5% on the news.

Meta weighs big equity raising after blockbuster Google deal

Rani Molla

Meta is supercharging its subscription businesses

The free-app giant never really cared about recurring revenue. Now, it’s launching paid plans for all sorts of stuff.

Jon Keegan9h

FT: Anthropic staff helping the NSA use Mythos for offensive cyberattacks

Anthropic’s Mythos AI model was deemed too dangerous to release to the public, with the company citing its ability to orchestrate novel cyberattacks.

And that’s just what the National Security Agency is doing, with the help of Anthropic staff embedded at the agency, according to a report from the Financial Times.

Only a small number of companies and US allies have been given access to the advanced model, which means America’s adversaries have not had the chance to shore up their defenses against the AI model’s new offensive capabilities.

The arrangement is especially unusual as the Pentagon has deemed Anthropic’s AI a national security supply chain risk — effectively blacklisting it for defense work — in response to the company’s refusal to allow its technology to be used for any legal application, which could include autonomous killing or mass surveillance. Anthropic is currently suing the US government to fight the determination.

US National Security Agency using Anthropic’s Mythos for cyber attacks

Rani Molla10h

Longtime Tesla bear JPMorgan upgraded Tesla and raised its price target to $475 from $145

For more than a decade, JPMorgan was Wall Street’s most stubborn Tesla skeptic, anchored by auto analyst Ryan Brinkman’s strict focus on traditional car fundamentals and near-term delivery numbers.

But JPM recently handed coverage of the stock to a new analyst, Rajat Gupta, who is throwing that playbook out the window. In a note Friday, the firm upgraded Tesla to “neutral” from “underweight” and raised its price target 228% to $475 from $145. (The analyst consensus on FactSet is $403.) Instead of focusing on the company’s struggling vehicle business, the new analyst is orienting himself more toward Tesla’s idea of the future, now modeling Tesla’s physical AI and robotaxi fleets all the way out to the year 2040.

Here are the main reasons for the capitulation:

Looking past the car lot: Gupta argues that Tesla “is at the forefront of physical AI, entering uncharted TAMs” and therefore “deserves the benefit of the doubt to be valued on LT earnings potential” rather than near-term speed bumps.
Unmatched vertical integration: Tesla’s control over everything from battery cells to custom silicon gives it a massive moat. JPM notes this starting point advantage is “unmatched at an industrial level scale” and “still somewhat under-appreciated and misunderstood.”
The AWS flywheel effect: Deploying Optimus robots inside its own factories “should not only lower COGS for the base automotive business, but more importantly, help validate the product at an industrial scale.” Gupta called it “a classic flywheel effect, somewhat analogous to AWS and Kiva at AMZN.”

For Tesla bulls who have argued for years that this is an AI company and not a carmaker, JPM’s sudden $3.9 trillion valuation model is the ultimate validation.

Anthropic ponders self-improving AI

Anthropic says Claude already writes 80% of its code. A new post asks what happens when the models can improve themselves — and whether anyone could stop them.

Jon Keegan10h