SpaceXAI launches Grok 4.5, its first model with Cursor



SpaceXAI has launched Grok 4.5, its most capable model yet. It is the company’s first release since going public and buying the AI coding startup Cursor. This is the joint model the two firms had raced to ship. Elon Musk aimed it squarely at coding and agentic work, not casual chat.

“It is an Opus-class model, but faster, more token-efficient and lower cost,” Musk wrote on X. The line name-checks Anthropic’s top Opus family. A chart with the announcement claims Grok 4.5 beats Opus 4.8 on several benchmarks, Axios first reported.

Built for coders, and for Wall Street

Grok 4.5 was trained alongside Cursor, which SpaceX agreed to buy in a deal valuing the startup at $60bn. The model is built to “handle difficult, long-running tasks,” according to the company’s blog post, including software engineering. Unlike Cursor’s earlier models, it also targets legal and financial work, and adds cybersecurity features, Bloomberg reported.

The finance push is deliberate. Musk said this year that his AI unit, known as xAI before it merged with SpaceX, had fallen behind on coding. The company has since rebuilt the team and chased Wall Street clients for its Grok chatbot. Grok 4.5 is the clearest sign yet of that pivot towards paying business customers.

The price play

Cost is the pitch. SpaceXAI priced Grok 4.5 at $2 per million input tokens and $6 per million output tokens. Anthropic’s Opus 4.8 runs at $5 and $25, while OpenAI’s GPT-5.6 Luna sits at $1 and $6. That undercuts the priciest rivals as companies watch their token spend more closely.

The company concedes limits. It says Grok 4.5 beats some OpenAI and Anthropic models on speed, price and performance. It does not beat their largest and latest. Musk expects to close that gap soon. The model is live now in Grok Build, in Cursor on all plans, and via the SpaceXAI console. A wider public release is due Thursday. It is not yet available in the EU.

Why it matters

The release lands on a crowded day. OpenAI is rolling out GPT-5.6 widely on Thursday, alongside a new set of voice models. That comes after the Trump administration asked it to stagger the launch. Government scrutiny hangs over all of it, with regulators watching new models for cybersecurity risk. Cursor said it has taken steps to “detect and block bad actors” while preserving legitimate security research.

There is a twist in how Grok 4.5 was built. SpaceXAI trained it on the same compute it leases to rivals Anthropic and Google. As its own models grow hungrier, it will have to choose. It can feed them, or rent that capacity out for cash. For now, Musk is betting a cheaper, coder-friendly Grok can win business, even while it trails the best models on raw power.



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YouTube has an AI slop problem, and its crackdown is catching legitimate creators in the crossfire. Faceless channels, where no human host ever appears on screen, have existed for years and are not inherently AI-generated.

Many are run by solo creators who simply prefer to stay anonymous. The problem is that AI tools made it easy to flood the platform with low-effort faceless content at scale, and YouTube’s algorithm is now penalizing the format as a whole.

How bad is the AI slop problem on YouTube?

A Kapwing study found that roughly 21% of the first 500 videos recommended to a new YouTube account were classified as AI slop, while 33% fell into a broader brainrot category. The problem extends to children, too, as more than 40% of YouTube Shorts recommended to kids in a 15-minute session contained low-quality AI content.

YouTube’s response has been to tweak its algorithm to favor videos with real human faces on camera, which is hitting faceless creators even when their content is entirely human-made.

How is YouTube tackling its AI slop problem?

YouTube is now testing a new pop-up on mobile that asks viewers to rate whether a video feels like AI slop, on a scale from “not at all” to “extremely.” The idea sounds reasonable, but crowdsourcing AI detection has real problems. People are bad at spotting AI content, and they are getting worse at it as AI capabilities continue to improve.

There are also legitimate concerns that YouTube could use this viewer feedback as training data for its own AI models, potentially making future AI-generated content even harder to spot.

🚨 Did you just see what YouTube did?

YouTube isn’t banning AI slop.. They’re making you label it so they can train their next model to not look like slop.

Read that again…

You flag the bad AI content. YouTube collects it. Google feeds it into Veo 4… Then next year their… https://t.co/8UC2J3mjjv pic.twitter.com/mIrTChqC1b

— Tuki (@TukiFromKL) March 17, 2026

Meanwhile, faceless creators are scrambling to adapt. According to The Hollywood Reporter, some are hiring cheap on-camera hosts through platforms like Fiverr and Upwork. Others are doubling down on niche educational content, which has held up better than broad content farms.

The AI text-to-video space is still valued at enormous sums, with Higgsfield AI alone sitting at $1 billion, but on YouTube, the math for faceless creators is getting harder to work out every month.



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