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Rani Molla

In the absence of official statistics, Bloomberg attempted to tally the number of US deaths linked to crashes in which Tesla’s door functionality may have impeded escape or rescue. The analysis identified “at least 15 deaths in a dozen incidents over the past decade in which occupants or rescuers were unable to open the doors of a Tesla that had crashed and caught fire.”

In September, the National Highway Traffic Safety Administration opened an investigation into whether door issues in certain Tesla vehicles can prevent emergency access, following a separate Bloomberg report.

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Jon Keegan

OpenAI releases its answer to Claude Code, first AI model with "high capability" risk for cybersecurity

AI agents that can write code have quickly become one of the most profitable, and competitive, applications coming from the current crop of AI startups.

Anthropic’s Claude Code is enjoying a moment of popularity among software engineers, and it is shoring up the startup’s revenue projections as it aims for an IPO this year. Claude Code's launch, along with Anthropic's release of Claude Cowork, which is aimed at non-technical users, has been a key force behind software stocks' massive recent underperformance.

Today OpenAI released its latest salvo in the AI code war: GPT-5.3-Codex, an “agentic coding” model that takes its name from OpenAI’s Codex coding app.

OpenAI says that GPT-5.3-Codex is the first model that was “instrumental in creating itself.”

According to the announcement, the new model can be used to build complex websites, interactive games, and achieved a new industry-wide high score on the widely used SWE-Bench Pro software development benchmark test.

But the model is also the first that OpenAI has released that comes with a “High capability” risk for cybersecurity, meaning that the company's evaluations showed that the tool had the potential to be used for sophisticated cyber attacks, though OpenAI says it has added mitigations to prevent such misuse.

Introducing GPT-5.3-Codex

Introducing GPT-5.3-Codex

Today OpenAI released its latest salvo in the AI code war: GPT-5.3-Codex, an “agentic coding” model that takes its name from OpenAI’s Codex coding app.

OpenAI says that GPT-5.3-Codex is the first model that was “instrumental in creating itself.”

According to the announcement, the new model can be used to build complex websites, interactive games, and achieved a new industry-wide high score on the widely used SWE-Bench Pro software development benchmark test.

But the model is also the first that OpenAI has released that comes with a “High capability” risk for cybersecurity, meaning that the company's evaluations showed that the tool had the potential to be used for sophisticated cyber attacks, though OpenAI says it has added mitigations to prevent such misuse.

tech
Rani Molla

Google’s Gemini is gaining but OpenAI’s ChatGPT is still the AI chatbot leader

Following Alphabet’s stellar earnings report Wednesday, analysts were quick to declare that the Google parent had blossomed from an AI laggard into a leader. The company posted strong revenue and profit growth, driven in part by heavy investment in artificial intelligence, and noted that its Gemini app had grown to more than 750 million monthly active users.

Still, usage data suggest Gemini remains far behind the market leader — at least as far as usage.

While Gemini is growing faster than OpenAI’s ChatGPT — up 19% month over month versus 4% — it still trails by a wide margin in overall usage. In January, Gemini logged more than 2 billion global visits, according to new data from Similarweb, less than half of ChatGPT’s 5.7 billion.

tech
Jon Keegan

OpenAI’s Altman calls Anthropic an “authoritarian company” and says its Super Bowl ad is “deceptive”

Yesterday, Anthropic announced that it intends (for now) to keep its Claude chatbot free of ads. Competitors OpenAI, xAI, Meta, and Google all have expressed plans for ads in some form for their respective AI chatbots.

Anthropic also released cheeky ads depicting scenarios where people are asking questions to a personified version of their AI chatbot, only to recoil in confusion when the response transforms into a creepy ad.

It’s pretty clear that Anthropic was poking fun at the market-leading AI chatbot, ChatGPT. The characters playing the chatbot had the pitch-perfect tone of an eager-to-please ChatGPT session.

OpenAI CEO Sam Altman tried to be a good sport, calling the ads funny, but clearly they struck a nerve, prompting a 400-word post on X in which he called the ads “deceptive,” accused Anthropic of “doublespeak,” and said it was an “authoritarian company” that was heading down a “dark path.”

Altman pushed back on the depiction of how such creepy ads could show up in chats, saying that OpenAI has pledged to never weave ads into chat conversations, knowing it users would reject that.

Previewing how the rival AI startups might battle each other in the marketplace, Altman attacked Anthropic’s focus on paid subscription, rather than generous limits for free users (which appears to be working out pretty well for Anthropic):

“Anthropic serves an expensive product to rich people. We are glad they do that and we are doing that too, but we also feel strongly that we need to bring AI to billions of people who can’t pay for subscriptions.”

Both companies are racing to launch an IPO this year, which will only raise the stakes for this billionaire beef.

Rani Molla
4h
Analysts like Google’s earnings report, even if investors didn’t

These analysts think doubling capex is a good sign.

Allen & Co Brings Together Media And Tech Titans In Sun Valley
tech
Jon Keegan

Part of the reason for Google’s huge capex plans: It has a $240 billion revenue backlog

Google reported strong earnings yesterday that beat analysts’ expectations. But the thing that caught investors’ attention was Google’s capex plans.

The company spent a whopping $91.4 billion for all of 2025 on capex, but it plans to roughly double that amount in 2026 to between $175 billion and $185 billion.

Why does it need to spend so much? It can’t keep up with demand due to constraints on its compute capacity. Cloud computing demand is surging, and Google simply can’t fulfill all of the orders it has, because it can’t build the data centers and AI infrastructure fast enough.

Alphabet CEO Sundar Pichai was asked on last night’s earnings call what keeps him up at night:

“At this moment, maybe the top question is definitely around compute capacity. All the constraints, be it power, land, supply chain constraints — how do you ramp up to meet this extraordinary demand for this moment, get our investments right for the long term, and do it all in a way that we are driving efficiencies and doing it in a world-class way?”

Demand is so extraordinary that Google has $240 billion in “remaining performance obligations” (RPO, or revenue backlog).

This swelling backlog is not unique to Google. Microsoft just reported $625 billion in RPO, though a big chunk of that was for one customer: OpenAI. After market close today, we will see what Amazon’s RPO backlog looks like. It was $200 billion last quarter.

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