SpaceX is seeking $40 billion in debt financing led by Apollo Global Management to buy Nvidia AI chips, with talks still early and a possible 2027 close. The move highlights the scale of capital required for AI infrastructure expansion across Musk's companies.

xAI plans to use Nvidia hardware exclusively for its data centers.
https://x.com/FT/status/2107604925937037530
In August Nvidia joined Apollo and other firms on platforms intended to mobilize more than $500 billion for AI infrastructure projects.
Tap a lens to see what this story means for you.
Liked this? The Brief brings you the whole day in tech, verified, every morning.
Two minutes, free forever. What's in The Brief →
See what’s happening right now
The Feed runs all day — short, verified briefs the moment they break.
Open the FeedFollow @thecircuitry_
Every story we publish, as it happens. No noise between.
Reader-supported
The Circuitry is a passion project I've always wanted to build, and I love the work behind it.
Running it costs real money. APIs, hosting, time. To keep improving the site and growing this into something useful for everyone, those costs have to be covered.
Any contribution is appreciated. If not, no pressure. Thanks for reading.
At its Windows and Surface event, Microsoft opened preorders for the $2,599 Surface Laptop Ultra and the $5,999 Surface RTX Spark Dev Box, and said Copilot will be able to use files and act across Windows in the coming months.
Elon Musk said on October 4 that SpaceXAI will be renamed SpaceXSI, adopting "SI" for super intelligence after President Trump's push to drop "AI."
The first laptops built on Nvidia's RTX Spark chip, from Microsoft, Asus, Dell, HP, Lenovo and MSI, start at $2,599 and climb to $6,999.99 for a maxed-out Asus ProArt P16 with 128GB of unified memory, The Verge reports. The first models ship as early as October 16.
Anthropic released Claude Haiku 5.5, its cheapest and fastest small model, at $0.10 per million input tokens and $0.50 per million output tokens for prompts up to 100,000 tokens. Anthropic says it costs around 75% less to run than Haiku 4.5 on average and scores far higher on its benchmarks.
OpenAI released 722 mathematical manuscripts, grouped into 372 result families, produced by an unreleased internal model. The papers are on GitHub, with Lean formalizations for many but not all of them, and OpenAI warns some unformalized results could have issues.