Anthropic and SpaceX Agree to Major Compute Capacity Deal
Meanwhile, the independent generative AI vendor expanded usage limits and reduced subscriber usage restrictions for big customers.
TechCrunch AI·
At TechCrunch's sold-out StrictlyVC event in San Francisco on Thursday night, we covered a lot of ground in a short time, beginning with the question everyone in the industry is asking right now: in a world where rival Cursor is reportedly in talks to be acquired by SpaceX for $60 billion, is Replit also bound to sell?
Read full articleMeanwhile, the independent generative AI vendor expanded usage limits and reduced subscriber usage restrictions for big customers.
Apple’s Worldwide Developer Conference (WWDC) takes place in just a few weeks. Everyone expects the company to explain its approach to AI deployment on its platforms. With that in mind, here’s what several months of speculation suggest Apple will announce, though the details remain to be disclosed. Apple is investing billions of dollars in these plans; R&D spending reached 10.3% of revenue in the second quarter, up from 7.6% in Q1. Given Apple’s accelerating revenue, on a dollar basis this means the company’s R&D spend is up 34% from a year ago. “We believe AI is a really important investment area for Apple, and we’re going to be doing that incrementally on top of what we normally invest in our product roadmap,” said Apple CFO Kevan Parekh during Apple’s latest fiscal call. (AI isn’t Apple’s only spending target, either.) While the billions Apple is investing are dwarfed by the huge infrastructure investments made by pure AI players, Apple’s infrastructure already exists — in the form
Companies like Lovable, Base44, Replit, and Netlify use AI to let anyone build a web app in seconds—and in thousands of cases, spill highly sensitive data onto the public internet.
PLUS: Use Claude Design’s slide decks feature like a pro
Writing code has always been the most time- and resource-intensive task in software development. AI is changing that, and faster than most engineering organizations are prepared for. Tools like Claude Code and Cursor are already handling significant parts of code construction, freeing developers to spend more time on requirements, architecture, and design. But that shift creates a new challenge nobody is talking about enough. As AI takes on the heavy lifting, the skills that matter most are moving upstream: how to provide the right context for a prompt, how to evaluate what the model produces, and how to understand a problem deeply enough that you can’t be fooled by a confident but wrong answer. This piece explores those three skills and why developers who master them will have a significant edge over those who don’t. Beyond coding: Mastering the art of the prompt Software translation tools such as compilers and assemblers map a high-level description of code to a lower-level represent
Elon Musk’s AI ambitions are converging on multiple fronts simultaneously. SpaceX is considering spending up to $119 billion on a semiconductor facility in Grimes County, Texas, dubbed “Terafab” — a vertically integrated chip manufacturing complex developed alongside Tesla and Intel. The facility is intended to produce chips for AI servers, satellites, autonomous vehicles, and SpaceX’s proposed orbital […]
Apple has agreed to pay $250 million to settle a class action lawsuit alleging it misled consumers about the AI capabilities of the iPhone 15 and 16. The complaint claimed Apple exaggerated the readiness and functionality of Apple Intelligence features, particularly an upgraded Siri, influencing purchase decisions with capabilities that were incomplete or delayed. Without […]
Deal follows others with Microsoft, Amazon, and more.