The Rundown AI / Articles / AI / Cursor officially joins the SpaceX AI machine

Cursor officially joins the SpaceX AI machine

PLUS: Conduct better stock research with Perplexity Finance

Zach Mink

June 17, 2026

Good morning, AI enthusiasts. SpaceX’s splashy IPO debut was less than a week ago, but the surging stock has already helped shore up another part of Elon Musk’s empire.

The $SPCX windfall just bankrolled a $60B takeover of Cursor, a deal Musk optioned back in April — and if CEO Michael Truell’s teasers on its next Opus-sized, “generally intelligent” model hold true, Musk may be fast-tracking his way near the frontier.

In today’s AI rundown:

SpaceX nabs Cursor in $60B all-stock deal
Z AI’s powerful open-weights model nears the frontier
Conduct better stock research with Perplexity Finance
Meta confronts its AI morale crisis
4 new AI tools, community workflows, and more

LATEST DEVELOPMENTS

SPACEX & CURSOR

💰 SpaceX nabs Cursor in $60B all-stock deal

Image source: Cursor

The Rundown: SpaceX just officially exercised its option to acquire AI coding startup Cursor in a $60B deal paid entirely in stock, coming on the heels of a post-IPO rally that has nearly doubled the company’s value and sent Elon Musk’s personal wealth surging above $1T.

The details:

Cursor and SpaceX announced an initial deal in April that provided an option to acquire the startup for $60B or pay $10B for the partnership alone.
Since listing Friday at $135 a share, SpaceX has rocketed past $200, piling nearly $1T onto its value in under a week of public trading.
Cursor CEO Michael Truell said its upcoming model will be “generally intelligent,” trained from scratch, and as big as Opus.
SpaceX said Cursor is already part of a model-training push for Grok Build and its own editor, giving Musk a developer platform for his AI stack.

Why it matters: Cursor was already intertwined with SpaceX from the April deal, but the company’s up-only IPO surge just made a stock-only deal even easier. While Grok hasn’t been up to par on coding, the combination of Cursor’s models and SpaceX’s compute could turn things around at the breakneck speeds Musk likes to move at.

TOGETHER WITH MICROSOFT

👀 The FOMO is real: Microsoft Build

The Rundown: Microsoft Build empowered developers to innovate with AI through scalable security and oversight.

Highlights include:

Microsoft IQ + Foundry, shared knowledge for faster software.
MAI models, in-house reasoning and coding models.
OpenClaw on Windows, locally automates developer tasks.

Learn more.

ZAI

🚀 Z AI’s powerful open-weights model nears the frontier

Image source: Z AI

The Rundown: Chinese AI lab Z AI just released GLM-5.2, a new open-weights model that is competitive with GPT 5.5 and Claude Opus 4.8 across a series of coding benchmarks, marking the closest an open model has come to the top closed systems.

The details:

5.2 gains a 1M token context window with strong long-horizon task capabilities, along with two effort modes (High, Max) for tougher jobs.
Z AI released the model with an MIT license, with its pricing staying the same as its predecessor at a fraction of the cost of frontier options.
The model surpasses GPT 5.5 on benchmarks including real-world coding, reasoning, and math, with scores coming in just below Opus 4.8.

Why it matters: This is one of the most impressive open-weights releases yet, and it comes right as two questions press on the AI market: pricing and access. GLM-5.2’s coding performance is strong on its own, but pairing it with free open weights and GLM-5.1-level pricing puts it exactly where the industry is heading.

AI TRAINING

💰 Conduct better stock research with Perplexity Finance

The Rundown: Learn how to use Perplexity Finance as a free AI stock research hub. You’ll discover how to quickly research any stock using AI without having to open multiple tabs or pay for a bunch of different tools.

Step-by-step:

Download the Comet desktop app. This is Perplexity’s web browser. Open a new tab and click ‘Finance’ at the top.
Click ‘Screener’ when you want ideas. Use plain English, but keep the first search broad because strict screens can fail. Try: “Find energy stocks with low PE ratios.”
Click a stock ticker. Use ‘Overview’ to quickly skim recent news and bull/bear context. Check ‘Financials’ for filing data, ‘Earnings’ for beats and call highlights, and ‘Analysis’ to see Wall Street’s price targets.
When you’re looking at a stock, ask follow-up questions with the Comet assistant button at the top right instead of using the chat box at the bottom. The latter hides all the stock information.
Use this prompt: “Explain the stock move today in plain English. What are the most likely drivers, and what sources support each one?” Click the sources and verify dates.

Going further: You can set price alerts and use the built-in watchlist to follow stocks more closely. You can also connect your brokerage account via Plaid to analyze your portfolio in Perplexity Finance.

PRESENTED BY GLEAN

📈 Get more work per token

The Rundown: Token costs scale with agents, and model pricing is only part of the equation. This whitepaper shows how enterprise AI architecture shapes cost and utility at scale, from context retrieval to model routing and multi-step execution.

In this whitepaper, you’ll learn:

How better context reduces unnecessary reasoning
How routing improves work per token
What to evaluate to scale sustainably

Get the whitepaper.

🧯 Meta confronts its AI morale crisis

Image source: Images 2.0 / The Rundown

The Rundown: Meta CTO Andrew Bosworth just pledged a culture reset in a memo posted by Wired, promising manager caps, internal job moves, and office perks after reports of forced Applied AI transfers, model-training grunt work, and sinking morale.

The details:

Bosworth said Meta “did an atrocious job explaining the vision” of its AI reorg, which forced thousands of employees into work supporting AI models in March.
He admitted the rollout damaged trust, promising new manager report caps, less shuffling, social events, and better snack kitchens to boost morale.
One worker branded the unit “the gulag,” and anger reportedly spilled out when someone hijacked a company livestream to trash a senior AI executive.
The news comes alongside recent internal backlash over the company’s use of mandatory employee computer mouse tracking to collect AI training data.

Why it matters: Meta’s most recent Muse Spark model was a win for the rebuilt AI lab, but under the hood of the broader sprawling tech giant, things don’t sound great for the employees deep in the shuffling. But better “microkitchens” and social events sound like the corporate concessions that only further alienate employees.

QUICK HITS

🛠️ Trending AI Tools

🚀 GLM 5.2 - Z AI’s powerful new open-weights model
🧠 Copilot Cowork - Microsoft’s AI for running multi-step tasks across M365 apps, now generally available
🤑 Mercury Command - Natural-language agent for banking tasks, with built-in approvals
🎨 Framer 3.0 - Canvas-native agents that build and run your whole site

📰 Everything else in AI today

Cube + Databricks Webinar, June 30 — meet Cube, the BI and Agentic Analytics platform — powering dashboards, embedded analytics, and AI agents on Databricks. Learn more and register for free.*

The Trump administration reportedly rejected UK PM Keir Starmer’s request to exempt G7 allies from the export ban on Anthropic’s top models.

China’s DeepSeek raised over $7.4B at a $50B+ valuation, making it the priciest AI startup in the country — with founder Liang Wenfeng personally contributing $3B.

Microsoft launched Copilot Cowork, its task-running AI agent, worldwide with usage-based pricing.

Cursor introduced Origin, the company’s new GitHub competitor, alongside a new iOS mobile app in beta for its AI coding platform.

*Sponsored Listing

COMMUNITY

🤝 Community AI workflows

Every newsletter, we showcase how a reader is using AI to work smarter, save time, or make life easier.

Today’s workflow comes from reader Leona B. in Burlington, Ontario:

“I'm in my 40s and wanted to run my first 10K last year, but wasn’t sure where to start. There are loads of running plans out there, but I had my own health and injury issues I needed to plan for and wanted something more personalized.

I used ChatGPT to build a Personalized Running Coach that specialized in women in their 40s. I shared my goals and designed a plan, and after each run I’d upload my Apple Watch data to get feedback.

I ran my first 10K last year and just completed my 2nd this year. What was fun was comparing my 2025 race data to this year’s, with ChatGPT helping me see where I’d made improvements and where I still need more work. I’ve signed up for the 2027 race with different goals, and have my next running plan already mapped out.”

How do you use AI? Tell us here.