23.01.2026 19:12Author: Viacheslav Vasipenok

xAI Engineer Ousted After Spilling Secrets on Secretive Macrohard Project

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In a dramatic turn of events that underscores the high-stakes secrecy surrounding Elon Musk's AI ventures, Suleiman Ghori, a former member of technical staff at xAI, announced his departure from the company just days after a candid podcast appearance.

Ghori's exit, shared via a brief post on X on January 19, 2026, has fueled widespread speculation that he was fired for revealing sensitive details about xAI's ambitious Macrohard initiative and internal operations.

The podcast, aired on January 15, 2026, on the Relentless channel, saw Ghori delve into topics ranging from AI human emulators to unconventional data center hacks, painting a vivid picture of xAI's aggressive push into frontier AI.

Ghori, who joined xAI in March 2025, expressed "nothing but love" for his former colleagues in his farewell message, but offered no further explanation for his sudden departure.

Industry observers, including high-profile figures like MrBeast, quickly linked the timing to the podcast, where Ghori was described as "too candid" and potentially crossing boundaries on confidentiality.

xAI and Musk have not commented publicly on the matter, but the episode highlights Musk's well-known emphasis on controlling narratives around his companies — often reserving major revelations for himself.


Unveiling Macrohard: AI's Bid to Simulate Human Workforces

At the core of Ghori's disclosures was Project Macrohard, xAI's audacious effort to build a "purely AI software company" capable of simulating entire organizations like Microsoft. First teased by Musk in August 2025 as a "tongue-in-cheek" nod to his rival, the project has evolved into a serious endeavor aimed at creating AI agents that replicate human digital tasks without relying on APIs or structured data.

Ghori described Macrohard's "human emulators" as systems trained on raw inputs like mouse movements, keystrokes, and screen interactions via computer vision, allowing them to handle any software interface as a person would. These emulators prioritize speed —operating 1.5x to 8x faster than humans — over raw intelligence, enabling rapid scaling for tasks like form-filling, coding, and decision-making.

Musk has positioned Macrohard as a direct challenge to software giants, noting that since companies like Microsoft produce no physical hardware, AI could theoretically simulate their entire operations. By October 2025, the name was literally painted on the roof of xAI's Colossus II supercluster in Memphis, visible from space, signaling its integration with massive compute resources.

The project's scope extends beyond software: Musk envisions Macrohard influencing hardware indirectly, akin to how Apple outsources manufacturing, potentially disrupting industries by automating white-collar roles at scale.

A key innovation Ghori highlighted is leveraging idle Tesla Hardware 4 (HW4) computers for distributed computing. With millions of Tesla vehicles spending 50-80% of their time idle while charging, xAI plans to compensate owners for leasing this power, creating a massive, cost-effective supercomputer network capable of running up to 1 million human emulators. This approach bypasses traditional cloud providers like AWS, slashing costs and enabling unprecedented scale.


Behind the Curtain: xAI's Intense Culture and Regulatory Gambits

Ghori's interview also peeled back layers on xAI's internal dynamics, revealing a "no due dates" ethos where ideas are implemented the same day and talent density is "incredible."

He quantified engineer impact starkly: each commit to xAI's repository boosts the company's valuation by approximately $2.5 million, with Ghori claiming his five commits added $12.5 million in value.

The company operates with flat hierarchies — individual contributors, co-founders/managers, and Musk — fostering rapid experimentation but demanding "war room" surges, including months-long stints in a converted gym with sleeping pods and bunk beds.

On infrastructure, Ghori admitted xAI exploited regulatory loopholes, registering as a "carnival" entity to secure temporary land and power permits faster than standard processes allow.

The Colossus data center in Memphis, built in a record 122 days, relies on 80+ mobile generators during peak loads to avoid straining the local grid, supplemented by batteries for millisecond-level balancing.

By December 2025, xAI acquired a third building dubbed "MACROHARDRR," pushing training compute toward 2 gigawatts — enough to power a small city — and integrating over 1 million GPUs by year's end. Recent EPA rulings have tightened scrutiny, rejecting xAI's off-grid turbine exemptions and mandating Clean Air Act compliance, amid local concerns over pollution in Memphis communities.


Musk's Vendetta: Aiming at Microsoft and Gates

Macrohard's origins trace back to Musk's longstanding feud with Bill Gates, exacerbated by Gates' $500 million short position on Tesla stock in 2022, which Musk views as hypocritical given Gates' climate advocacy. By November 2025, Gates' bet had ballooned to $1.5 billion in losses as Tesla's shares surged.

Musk has repeatedly urged Gates to close the position, framing Macrohard as a means to "undercut" Microsoft by replicating its products with AI agents — potentially dumping them at lower prices to capture market share.


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Broader Implications: AI's Disruptive Horizon

Ghori's revelations, while leading to his ouster, offer a rare glimpse into xAI's blueprint for AI dominance: harnessing underutilized Tesla resources, skirting regulations for speed, and automating human roles to challenge incumbents.

As xAI scales Colossus toward gigawatt levels and explores international sites like a 500MW facility in Saudi Arabia, the project raises ethical questions about job displacement and environmental impact.

Musk predicts xAI will outpace global AI compute within five years, but regulatory hurdles, like the recent EPA clampdown, could temper that ambition. For now, Macrohard remains a provocative vision — one that could redefine work, but at the cost of human oversight and traditional corporate structures.


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