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xAI and Grok: Everything You Need to Know About Elon Musk’s AI

xAI is one of the youngest major players in artificial intelligence, yet within just a few years it has managed to establish itself as a competitor to OpenAI, Google and Anthropic. The company was founded by Elon Musk, and its best-known product is Grok, an AI assistant originally created as an alternative to ChatGPT.

Grok, however, has long since grown beyond being just a chatbot integrated into the X social network. It has gradually evolved into a broader ecosystem that includes advanced language models, image and video generation, voice AI, coding tools, enterprise services and increasingly autonomous AI agents.

The company itself has changed just as quickly. xAI first merged with the social network X, and in 2026 it was subsequently acquired by SpaceX. What began as a standalone AI startup therefore became part of Elon Musk’s broader technology empire.

What Is xAI?

Elon Musk announced the launch of xAI in July 2023. According to the company, its long-term goal is not merely to build chatbots, but to develop advanced artificial intelligence that can help people better understand the world.

xAI summarizes its mission with the phrase “Understand the Universe.”

The company entered the market at a time when OpenAI and ChatGPT already dominated public attention around generative AI, while Google, Meta and Anthropic were also developing their own advanced models at a rapid pace.

Musk himself was one of the co-founders of OpenAI in 2015, but later left the organization and gradually became one of its most prominent critics.

xAI launched its first major product only a few months after the company was founded.

Grok Emerges as an Alternative to ChatGPT

In November 2023, xAI introduced Grok, together with its first large language model, Grok-1.

The word “grok” comes from science-fiction literature and refers to understanding something deeply and intuitively.

From the beginning, xAI positioned the assistant somewhat differently from its competitors. Grok was intended to be less formal, use humor and, according to the company, have something of a “rebellious” personality.

One of its biggest advantages was its integration with the X social network.

This gave Grok access to current information and user posts at a time when many competing chatbots still relied primarily on information contained in their training data.

The first version of Grok was also built extremely quickly.

When unveiling it, xAI said the initial system had been developed in roughly four months, while the model itself underwent around two months of intensive training.

Grok-1 was built as a large Mixture-of-Experts model.

In March 2024, xAI released its weights and architecture under the Apache 2.0 license. The model contained a total of 314 billion parameters, although only a subset of them was activated when processing each token.

From Grok-1 to Grok-2

Development continued at a rapid pace.

In March 2024, xAI introduced Grok-1.5, which delivered significantly stronger performance in mathematics and programming while expanding the context window to 128,000 tokens.

Shortly afterward, the company unveiled Grok-1.5V, which could also work with images, documents, diagrams and charts.

The next major step was Grok-2, introduced in August 2024.

Alongside the main model, xAI also released a smaller Grok-2 mini and began preparing Grok more seriously for developers through an API.

Grok-2 combined text and image capabilities and could also make use of information from X.

By the end of 2024, access to Grok had expanded considerably.

xAI made the assistant available to all X users, added web search and citations, and introduced its own image-generation capabilities through the Aurora model.

Grok 3 Put a Greater Focus on Reasoning

In February 2025, xAI introduced Grok 3.

Like competing systems from OpenAI and Google, the company began placing much greater emphasis on so-called reasoning — allowing the model to devote additional computing time to complex problems and work through solutions step by step.

According to xAI, Grok 3 was trained on the Colossus supercomputer using roughly ten times more computing resources than the company’s previous generation of models.

A smaller Grok 3 mini was also introduced, focusing on more affordable reasoning.

At the same time, xAI added DeepSearch, a feature that allowed Grok to search for information, analyze multiple sources and then generate more comprehensive answers.

Grok’s development was increasingly following a broader trend across the AI industry.

The goal was no longer simply to build a chatbot that could answer questions.

AI systems were increasingly expected to search for information, use tools, write code and complete multi-step tasks.

Grok 4 and the Shift Toward AI Agents

The next major generation arrived in July 2025.

Grok 4 introduced native tool use and integrated real-time search. xAI also launched a more powerful version called Grok 4 Heavy.

For its training, the company used the Colossus cluster with roughly 200,000 GPUs and significantly increased the amount of compute used during reinforcement learning.

The model family then quickly expanded through Grok 4.1, 4.3, 4.5 and Grok 4.6.

xAI’s model lineup as of September 2026. Source: x.ai

As of September 2026, Grok 4.6 is one of the company’s main models.

xAI introduced it on August 12, 2026, with a stronger focus on long-running agentic tasks, programming, working with large projects and building interactive applications.

The model also moved beyond Musk’s own products.

Grok 4.6 is available through platforms including Amazon Bedrock, Microsoft Foundry and GitHub Copilot.

This shows that xAI is no longer trying to position Grok purely as a consumer rival to ChatGPT, but also as technological infrastructure for businesses and developers.

What Can Grok Do Today?

The Grok brand now covers much more than traditional text-based chat.

At its core remains the AI assistant available through Grok.com, X and mobile applications.

Users can use it for searching for information, analyzing data, working with documents, writing text, programming and solving more complex problems.

Access to information from X remains one of Grok’s defining features.

This can be particularly useful for following events as they unfold in real time.

At the same time, users must take into account that social-media content may contain inaccurate information and that AI models themselves can still generate factual errors, commonly referred to as hallucinations.

xAI has therefore gradually expanded Grok to include conventional web search and source citations as well.

The Massive Colossus Supercomputer

Modern AI models require enormous amounts of computing power.

xAI has therefore invested billions of USD into its own infrastructure.

Its key project is Colossus, a supercomputer that the company began building in Memphis, Tennessee.

Grok 4 already relied on infrastructure containing roughly 200,000 GPUs for reinforcement learning.

By the end of 2025, according to xAI, the combined Colossus I and II infrastructure had reached computing capacity equivalent to more than one million Nvidia H100 GPUs.

Computing infrastructure has therefore become one of xAI’s main competitive advantages.

At the beginning of 2026, the company raised another USD 20 billion in a Series E funding round.

Investors included financial institutions as well as Nvidia and Cisco Investments.

The capital was intended primarily to fund further expansion of data centers, model development and new products.

xAI Acquired X, Then SpaceX Acquired xAI

The corporate structure surrounding Grok has changed dramatically in just a few years.

In March 2025, Elon Musk announced the combination of xAI and the social network X through an all-stock transaction.

At the time, X was valued at USD 33 billion excluding debt, while xAI was valued at USD 80 billion.

The strategic logic was clear.

Grok gained direct access to one of the world’s largest social platforms and, at the same time, an enormous distribution channel for its AI products.

But the consolidation of Musk’s companies did not stop there.

In February 2026, SpaceX announced the acquisition of xAI.

xAI therefore ceased to operate as a standalone top-level company and became part of the broader SpaceX structure.

The official website now uses the name SpaceXAI.

According to Reuters, the deal was structured so that xAI remained a separate subsidiary, helping isolate some of its liabilities from SpaceX.

The transaction was valued at approximately USD 250 billion.

The result was an unusual technology group combining SpaceX’s space infrastructure, the X social network, Grok AI models and other companies connected to Elon Musk.

How Is Grok Different From ChatGPT, Claude and Gemini?

Grok competes primarily with OpenAI’s ChatGPT, Google’s Gemini and Anthropic’s Claude.

Technologically, the differences between leading AI systems are gradually becoming smaller.

All major platforms can now work with text, write code, analyze images and documents, search the internet and use external tools.

Grok, however, has several distinctive advantages.

The first is its deep integration with X.

This allows it to work quickly with breaking events and public conversations taking place on the platform.

The second is Colossus and Musk’s willingness to invest enormous amounts of money into computing infrastructure.

A third advantage is integration with other products and companies.

Grok has already been introduced into Tesla vehicles, while its models are also available through major cloud and developer platforms.

At the same time, Grok faces many of the same challenges as other generative AI systems.

Its models can hallucinate, misinterpret sources or produce information that sounds convincing but is inaccurate.

Controversies Surrounding Grok

From the beginning, Grok was positioned as a less restrictive alternative to some competing chatbots.

That strategy has repeatedly sparked debate over where the boundaries of generative AI should be drawn.

As Grok’s image- and video-generation capabilities expanded, questions around deepfakes, sexually explicit content and personality rights became increasingly prominent.

In 2026, for example, xAI launched a legal challenge against a Minnesota law targeting AI systems capable of creating manipulated intimate images.

The company argued, among other things, that the law raised questions related to free speech and constitutional protections.

These issues are not unique to Grok.

Image and video generators across the AI industry are forcing companies, lawmakers and society to consider how creative freedom, user safety and provider responsibility should be balanced.

The Future of xAI and Grok

In less than three years, Grok has evolved from an experimental chatbot into a broad AI platform.

The direction of development is relatively clear.

The models are no longer being built solely to provide better answers inside a chat window.

xAI is developing systems capable of independently interacting with computers, writing software, using business applications, generating multimedia content and completing long-running tasks.

In January 2026, xAI said that Grok 5 was in training.

As of September 2026, however, the company’s official list of product announcements still presents the Grok 4.x family as its latest main generation, with Grok 4.6 having been introduced in August.

Grok Build and Grok Bot are also becoming increasingly important.

They illustrate the broader shift taking place across the industry from chatbots toward more autonomous AI agents.

Competition, however, remains intense.

OpenAI, Google and Anthropic are investing tens of billions of USD into their own models and infrastructure, while Microsoft, Meta and Amazon are pursuing similar technologies.

One potential advantage for Musk’s AI platform is its connection to X’s enormous user base, xAI’s dedicated computing infrastructure and the wider ecosystem of companies linked to Musk.

Whether Grok becomes one of the dominant AI systems over the long term will therefore depend on far more than benchmark performance alone.

Cost, reliability, distribution, agent capabilities and the depth of AI integration into everyday computing, enterprise software and other digital services are likely to matter just as much.

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About the author

Ondřej Kadlec

I got into crypto in late 2020 and quickly became a Bitcoin maximalist. I follow developments in the financial markets and enjoy travelling around Southeast Asia in my spare time. At Kryptomagazin, I’m responsible for news and video content.

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