惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

M
MIT News - Artificial intelligence
有赞技术团队
有赞技术团队
S
Schneier on Security
aimingoo的专栏
aimingoo的专栏
T
Troy Hunt's Blog
U
Unit 42
Hacker News - Newest:
Hacker News - Newest: "LLM"
V2EX - 技术
V2EX - 技术
T
The Blog of Author Tim Ferriss
V
Visual Studio Blog
H
Heimdal Security Blog
H
Hacker News: Front Page
Blog — PlanetScale
Blog — PlanetScale
博客园 - 司徒正美
Cloudbric
Cloudbric
Google DeepMind News
Google DeepMind News
C
Cisco Blogs
The Cloudflare Blog
C
Cybersecurity and Infrastructure Security Agency CISA
Microsoft Security Blog
Microsoft Security Blog
MyScale Blog
MyScale Blog
F
Fortinet All Blogs
N
News | PayPal Newsroom
Attack and Defense Labs
Attack and Defense Labs
D
DataBreaches.Net
N
News and Events Feed by Topic
Security Archives - TechRepublic
Security Archives - TechRepublic
Forbes - Security
Forbes - Security
Simon Willison's Weblog
Simon Willison's Weblog
F
Full Disclosure
The Register - Security
The Register - Security
L
LINUX DO - 热门话题
Webroot Blog
Webroot Blog
Google Online Security Blog
Google Online Security Blog
AI
AI
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
I
Intezer
S
Security Affairs
阮一峰的网络日志
阮一峰的网络日志
K
Kaspersky official blog
云风的 BLOG
云风的 BLOG
博客园 - 叶小钗
T
Threatpost
Spread Privacy
Spread Privacy
小众软件
小众软件
AWS News Blog
AWS News Blog
S
Secure Thoughts
S
Security @ Cisco Blogs
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
J
Java Code Geeks

Hacker News

Introducing Claude Opus 4.7 Qwen Studio The Future of Everything is Lies, I Guess: Where Do We Go From Here? GitHub - SeanFDZ/macmind: Single-layer transformer in HyperTalk for the classic Macintosh Show HN: Agent-cache – Multi-tier LLM/tool/session caching for Valkey and Redis Moving a large-scale metrics pipeline from StatsD to OpenTelemetry / Prometheus GitHub - Nightmare-Eclipse/RedSun: The Red Sun vulnerability repository GitHub - SethPyle376/hiraeth: Local AWS emulator focused on fast integration testing, with SQS support, SQLite-backed state, and a debug-friendly web UI. GitHub - macOS26/Agent: Any AI, replaces Claude Code, Cursor, OpenClaw. Over 18 LLM providers (Claude, OpenAI, Gemini, Ollama, Zai, HF, Qwen) wired into a native Mac app that writes code, builds Xcode projects, bumps versions, manages git, automates Safari, use AppleScript, JS or Accessibility, extend Agent! w/ MCP Servers, run tasks from your iPhone via Messages. YouTube now lets you turn off Shorts I Made a Terminal Pager Burgers | マクドナルド公式 Commands — HackerNews CLI documentation ChatGPT for Excel PiCore - Raspberry Pi Port of Tiny Core Linux Live Nation illegally monopolized ticketing market, jury finds Google Broke Its Promise to Me. Now ICE Has My Data. Founding Engineer at Adaptional | Y Combinator CRISPR takes important step toward silencing Down syndrome’s extra chromosome GitHub - saffron-health/libretto: The AI toolkit for building reliable browser automations US v. Heppner (S.D.N.Y. 2026) no attorney-client privilege for AI chats [pdf] Unexpected €54k billing spike in 13 hours: Firebase browser key without API restrictions used for Gemini requests Retrofitting JIT Compilers into C Interpreters IPv6 – Google The Accursèd Alphabetical Clock Cybersecurity Looks Like Proof of Work Now Fragments: April 14 Cal.com Goes Closed Source: Why AI Security Is Forcing Our Decision | Cal.com - Scheduling Software for Online Bookings Laravel raised money and now injects ads directly into your agent When moving fast, talking is the first thing to break Too much Discussion of the XOR swap trick – Heather Cafe Introduction to Spherical Harmonics for Graphics Programmers The Grand Line Building a Z-Machine in the worst possible language High-Level Rust: Getting 80% of the Benefits with 20% of the Pain GitHub - duguyue100/midnight-captain: Inspired by Midnight Commander, tailored to my taste. How to build a `git diff` driver · Jamie Tanna | Software Engineer Center for Responsible, Decentralized Intelligence at Berkeley The Local Universe’s Expansion Rate Is Clearer Than Ever, but Still Doesn’t Add Up - A new synthesis of astronomical measurements confirms a persistent mismatch that could point to physics beyond current models The air throughout our homes is infused with microplastics. But there are things you can do to breathe less of them The disturbing white paper Red Hat is trying to erase from the internet – OSnews The Future of Everything is Lies, I Guess: Annoyances ‘Abhorrent’: the inside story of the Polymarket gamblers betting millions on war Productive procrastination — Max van IJsselmuiden maps, territory and LMs 447 Terabytes per Square Centimetre at Zero Retention Energy: Non-Volatile Memory at the Atomic Scale on Fluorographane Show HN: Pardonned.com – A searchable database of US Pardons 20 Years on AWS and Never Not My Job The Seasons are Wrong Artemis II crew splashes down near San Diego after historic moon mission We gave an AI a 3 year retail lease in SF and asked it to make a profit | Andon Labs How a dancer with ALS used brainwaves to perform live On filing the corners off my MacBooks Installing every* Firefox extension OpenClaw’s memory is unreliable, and you don’t know when it will break Steve Blank Nowhere Is Safe Chimpanzees in Uganda locked in vicious 'civil war', say researchers watgo - a WebAssembly Toolkit for Go linux/Documentation/process/coding-assistants.rst at master · torvalds/linux GitHub - callumlocke/json-formatter: Makes JSON easy to read. Founding Product Engineer at Bild AI | Y Combinator A compelling title that is cryptic enough to get you to take action on it GitHub - Keychron/Keychron-Keyboards-Hardware-Design: Industrial design files for Keychron keyboards and mice. 100+ models with CAD assets in STEP, DXF, DWG, and PDF. Source-available, with commercial use allowed for original compatible accessories within the license terms. [ANNOUNCE] WireGuardNT v0.11 and WireGuard for Windows v0.6 Released 1D-Chess Helium Is Hard to Replace Cooperative Vectors Introduction | Evolve Keeping a Postgres queue healthy — PlanetScale Our response to the Axios developer tool compromise Do Americans read print books, e-books or audiobooks more? The Zettelkasten Method in Obsidian: A Practical Setup Guide Artemis II Is Competency Porn and We Are Starving For It WeakC4 Flight Viz — Cockpit View A Mexican surveillance giant you’ve never heard of is now watching the U.S. border Surelock: Deadlock-Free Mutexes for Rust RISC-V 101 – what is it and what does it mean for Canonical? | Ubuntu The Problem That Built an Industry How Much Linear Memory Access Is Enough? | Solidean Investigating Split Locks on x86-64 Simplest hash functions Sybilproof reputation mechanisms (2005) [pdf] What is a property? How Complex is my Code? Static code analysis in Kotlin — tools overview Toffoli gates are all you need PGLite evangelism dcmake: a new CMake debugger UI Clojure on Fennel part one: Persistent Data Structures Fragments: April 2 Python Release Python install manager 26.1 The Life and Death of the Book Review - Liberties Introducing Database Traffic Control — PlanetScale Bitcoin miners are losing $19,000 on every BTC produced as difficulty drops 7.8% God sleeps in the minerals Building slogbox Apple Silicon and Virtual Machines: Beating the 2 VM Limit Who was “Not Even Wrong” first? Pokemon Evolution Vs Darwinian Evolution The APL Programming Language Source Code
Tesla (TSLA) quietly discloses $2 billion AI hardware company acquisition buried in filing
Bender · 2026-04-25 · via Hacker News
Tesla Optimus robot 4680 battery cell

Tesla agreed to acquire an unnamed AI hardware company for up to $2 billion in stock and equity awards, according to a single sentence buried in its Q1 2026 10-Q filing. The company never mentioned the deal in its shareholders’ letter or during last night’s earnings call.

The disclosure appeared in Note 14 — Subsequent Events, the very last note in the financial statements, in what may be the most expensive one-sentence disclosure Tesla has ever made.

What the filing says

The full disclosure, in its entirety, reads:

“In April 2026, the Company entered into an agreement to acquire an AI hardware company for up to $2.00 billion in Tesla common stock and equity awards, of which approximately $1.8 billion is subject to certain service conditions and/or performance milestones dependent on the successful deployment of the company’s technology.”

That’s it. No company name. No description of what the company does. No explanation of how it fits into Tesla’s existing AI hardware efforts. No detail on how many shares of Tesla stock would be issued to fund the acquisition. Just one sentence for a $2 billion deal.

What we know — and don’t know

The deal structure offers a few clues. Only $200 million of the up to $2 billion total is guaranteed — the remaining $1.8 billion is tied to service conditions and performance milestones. That heavily milestone-based structure suggests Tesla is acquiring a company with promising but unproven technology, and that the deal functions partly as a retention mechanism for the target company’s engineering team.

The fact that Tesla is paying in stock and equity awards rather than cash — despite sitting on $44.7 billion in cash and short-term investments — is also notable. Paying in stock avoids reducing Tesla’s cash reserves but dilutes existing shareholders if the milestones are met.

Tesla didn’t identify the company, and no other reporting has surfaced the name as of this writing. The timing — April 2026 — coincides with several of Tesla’s AI hardware initiatives: the AI5 chip tape-out on April 15, the Terafab semiconductor factory partnership with Intel, and Tesla’s plan to spend over $25 billion in capital expenditures this year on AI initiatives.

The target could be a chip design firm, a packaging/interconnect company, an AI accelerator startup, or a company with IP relevant to Tesla’s Terafab ambitions. The “successful deployment of the company’s technology” language in the milestone conditions suggests the technology hasn’t been deployed at scale yet.

Why didn’t Tesla mention this in the earnings call?

A $2 billion acquisition is not a footnote-worthy event. Tesla’s previous acquisitions have been far smaller — the company confirmed $96 million worth of acquisitions back in 2019, which included Grohmann Engineering and parts of Maxwell Technologies. A deal 20 times that size warrants more than a single sentence in the last note of a regulatory filing.

The fact that Tesla discussed the $2 billion SpaceX investment extensively in the shareholders’ letter but didn’t mention an equally-sized acquisition is a deliberate choice. Tesla may be waiting to announce the deal separately, or it may be trying to minimize attention on the dilutive impact of issuing up to $2 billion in new stock.

The growing AI spending spree

This acquisition adds to Tesla’s rapidly escalating AI expenditure. In Q1 2026 alone, Tesla:

  • Invested $2 billion in SpaceX common stock (formerly xAI)
  • Announced capital expenditures exceeding $25 billion for 2026, driven primarily by AI initiatives
  • Continued building out Terafab, the joint Tesla/SpaceX semiconductor factory
  • Completed the AI5 chip tape-out
  • And now, agreed to acquire an AI hardware company for up to $2 billion

That’s potentially $4 billion in AI-related investments and acquisitions in a single quarter, on top of $25 billion in planned capex — all while the core automotive business delivered just $477 million in GAAP net income.

Electrek’s Take

It’s remarkable that Tesla can quietly disclose a $2 billion acquisition in one sentence and have it generate virtually no discussion. The deal was buried in a 40-page regulatory filing, behind the financial statements, behind the management discussion, behind the legal proceedings. If you weren’t reading the 10-Q line by line, you’d miss it entirely.

There are legitimate reasons Tesla might keep this quiet — the deal may not be finalized, or there may be competitive reasons not to reveal the target. But investors have a right to know what they’re paying for. Tesla is essentially asking shareholders to approve up to $2 billion in stock dilution for an unnamed company doing unspecified work, with milestones Tesla hasn’t described.

The broader pattern is also worth noting: Tesla is spending aggressively on AI — the xAI now SpaceX investment, Terafab, AI5, this acquisition — at a time when its automotive business is barely growing. Tesla produced 50,000 more vehicles than it sold in Q1, deliveries missed expectations, and GAAP net margin was just 2.1%. The AI pivot may ultimately prove transformative, but right now, it looks like Tesla is spending faster than it’s earning, and not always telling investors about it.

Add Electrek as a preferred source on Google Add Electrek as a preferred source on Google

FTC: We use income earning auto affiliate links. More.