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After pitching orbital data centers, Musk went further: a lunar city, launching AI satellites into deep space via maglev. This isn’t a whim—it echoes SpaceX’s Mars narrative, now fading in favor of the Kardashev Scale: harnessing a star’s energy to train intelligence beyond imagination.

The catch? No one paid for Mars. Starship’s mission has shrunk from colonization to Starlink launches and NASA lunar contracts. The Moon base, too, is far from reality. But it was never a business plan—it’s a recruitment pitch. As one departing xAI exec put it: “Every AI lab is building the same thing. It’s boring.”

A solar-system-scale supercomputer on the Moon? Call it what you want. But it’s not boring.

Roger Luo said:As AI labs converge on sameness, Musk deploys space colonization as both talent magnet and strategic rhetoric. Vision becomes differentiation.

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(Musk photo)

The new structure splits xAI into four teams: Grok chatbot, coding system, Imagine video generator, and Macrohard. Imagine now generates 50 million videos daily and over 6 billion images monthly—but those figures overlap with a surge in deepfake porn on X, including an estimated 1.8 million sexualized images in just nine days.

Musk doubled down on space-based data centers, envisioning a lunar factory with an electromagnetic mass driver to launch AI satellites. Such infrastructure, he said, could eventually support AI clusters capable of harnessing solar energy or expanding to other galaxies. “It’s hard to imagine what intelligence at that scale would think about,” Musk said, “but it’ll be incredibly exciting to see it happen.”

Toby Pohlen, head of Macrohard, added: “Anything a computer can do, Macrohard can do. Soon, rocket engines will be fully designed by AI.”

Roger Luo said:Grand visions of intergalactic intelligence collide with platform-wide deepfake chaos. xAI’s technical ambition is unmistakable, but so is its ethical blind spot. A moon base may be decades away—moderating explicit content is not.

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(Andrey Rudakov/Bloomberg / Getty Images)

XAI launched Grokipedia in October last year, after Musk repeatedly criticized Wikipedia for bias against conservatives. The media then found that although many entries seemed to be copied directly from Wikipedia, Grokimedia also claimed that pornographic content aggravated the AIDS crisis, provided an “ideological defense” for slavery, and used derogatory expressions against cross gender groups.

For an encyclopedia derived from a chatbot that once claimed to be a “mechanical Hitler” and was used to spread deepfake pornographic content on the X platform, these contents may not be surprising. However, its information seems to be gradually spreading beyond Musk’s ecosystem – The Guardian reported that GPT-5.2 cited content from Grokipedia nine times in response to over ten different questions.

The Guardian pointed out that ChatGPT did not cite the source when asked about topics on which the false information of Grokimedia has been widely reported, such as the riots on Capitol Hill on January 6 or the AIDS epidemic. On the contrary, citations appear on more obscure topics, including statements about historian Richard Evans that The Guardian has previously clarified. Anthropic’s Claude model also referenced Grokipedia when answering certain questions. ）

A spokesperson for OpenAI told The Guardian that the company is committed to obtaining information from a wide range of publicly available sources and diverse perspectives.

Roger Luo said:This incident exposes a critical flaw in generative AI’s cross-system information integration: the absence of an effective fact-prioritization mechanism and a traceability verification framework. When algorithms indiscriminately absorb ideologically biased data sources, they not only distort the neutrality of knowledge dissemination but also risk systematically polluting the foundation of public understanding.

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(Elon Musk’s Twitter: A Platform for Ideas)

X faces new business challenges too. Big advertisers reduced spending. They worry about content next to their ads. Musk is trying new ways to make money. He introduced paid verification. This lets users get a blue checkmark for a fee. He also talks about turning X into an “everything app”. This means adding payments and banking features later. The company cut many staff members. Musk says this makes X faster and more efficient. Users report mixed experiences with the platform now. Some notice more technical problems. Others see faster updates and new features.

(Elon Musk’s Twitter: A Platform for Ideas)

The debate about X is loud. Supporters say it fights online censorship. Critics argue it allows dangerous misinformation. Governments in some countries watch X closely. They question if it follows local laws. Musk insists X follows the law. He says it removes illegal content. Musk uses X himself constantly. He posts his thoughts and company news there. His personal posts often make headlines. He interacts directly with users frequently. This direct access is unusual for a major CEO. The future of X under Musk remains uncertain. Its role as a global town square is being tested. Its financial health is also still a big question. The world watches how this social media experiment develops.

(Musk announces Twitter neural project)

The project aims to build a direct link between the human brain and computers. Musk called it a critical step forward. He believes this technology is essential for humanity’s future. Twitter will lead the research and development efforts.

Musk stated the initial focus is medical. The neural interfaces could help people with paralysis or brain injuries. They might restore movement or communication abilities. This is a key goal for the team.

The technology also has broader potential. Musk suggested it could eventually let people communicate thoughts directly. He described it as thinking at each other without speaking. Twitter sees this as a natural extension of its communication platform.

Development work starts immediately. Twitter has formed a dedicated team. They will work on both hardware and software. Musk expects the first prototypes within a few years. Safety is a top priority, he stressed.

Regulatory approvals will be needed. Musk acknowledged this challenge. He expressed confidence in navigating the process. Twitter will collaborate with medical experts and researchers.

(Musk announces Twitter neural project)

The announcement surprised many industry observers. Details about funding or specific timelines were limited. Musk emphasized the project’s long-term importance. He called it vital for keeping pace with advanced artificial intelligence. Twitter intends to be a leader in this emerging field.

(Musk showcases new interface for X platform AI chatbot)

The old interface sometimes confused users. The new design aims to fix that problem. It features a cleaner, single chat window. Users type questions directly into this space. The AI answers appear clearly below. This mirrors familiar messaging apps people already know.

Musk stressed the importance of natural conversation. He wants talking to the AI to feel easy. The bot should understand complex requests better now. It also works faster. Responses appear almost instantly as the AI thinks. This provides a more fluid experience.

The update also improves understanding context. Users can ask follow-up questions easily. The AI remembers the previous chat points. This helps keep conversations logical and on track. No extra buttons complicate the process.

(Musk showcases new interface for X platform AI chatbot)

Musk confirmed the new interface is rolling out globally. All X users will see it soon. He said this is just the start. His team will keep refining the AI based on feedback. The mission remains making powerful AI tools accessible. Musk believes this simpler design is a big step forward. He expects users will find the chatbot more helpful daily.