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The article describes the rapid transformation of Kenya's once-thriving academic essay-writing industry for foreign students due to the advent of AI, specifically ChatGPT. At its peak, tens of thousands in Nairobi earned a living this way. The launch of ChatGPT in 2022 caused a near-collapse as students turned to the AI for drafts, drastically reducing demand and fees for human writers. In response, a new, narrower niche emerged: "humanizing" AI-generated text. Writers now edit AI drafts to remove machine-like patterns and evade university plagiarism detectors like Turnitin, rather than writing from scratch. While some freelancers continue in this role, their incomes have significantly dropped. The shift is part of a broader automation trend affecting other digital gig work in Kenya, such as transcription and content moderation. Experts note this labor market transformation is a global phenomenon. Ironically, the Kenyan government had previously promoted remote freelance work as a key employment strategy. A specialized index tracking AI's capability to perform paid freelance tasks shows rapid growth, suggesting the scope for human-only work is shrinking. The article concludes by questioning the sustainability of the "humanizing" niche itself, as improving AI and anti-plagiarism systems may eventually automate this task too.

Is Bitcoin history repeating? The article examines its shifting correlations with traditional assets like gold and tech stocks. Currently, Bitcoin's 90-day correlation with gold has surged to +0.56, its highest since 2020, while its link to the Nasdaq 100 and the US Dollar has faded. This suggests Bitcoin is behaving more as a scarce "digital gold" store of value, driven by macro concerns over currency debasement and sovereign debt, rather than as a high-beta risk asset. The analysis highlights two opposing macro forces: U.S. Treasury actions supporting long-term bonds (which weaken the dollar and benefit scarce assets) versus the Federal Reserve's ongoing inflation fight keeping real yields high (which pressures non-yielding assets like Bitcoin). The market remains highly sensitive to data like Non-Farm Payrolls and CPI, which rapidly shift Fed policy expectations and trigger significant Bitcoin volatility. While Bitcoin remains a core barometer for crypto market risk sentiment, the article concludes that the broader digital asset ecosystem—spanning decentralized exchanges, tokenization, and prediction markets—is developing independent growth drivers. This suggests the industry has the potential to evolve across various macro cycles, regardless of Bitcoin's short-term price movements influenced by interest rates and inflation data.

"The Three-Body Problem" proposes a stark concept: "just send the brain." This idea—in resource-starved scenarios, focusing only on the irreplaceable core and solving the rest later—is rewriting the rules of the AI era. Traditionally, "ready everything first" is the rule. But for near-impossible tasks, the principle becomes "just send the brain." For instance, making a film no longer requires massive crews and budgets; the irreplaceable parts are the creative idea, official approval, and distribution. AI compresses the heavy production work. This mindset isn't new to AI; it has driven business history. Nike was an early pioneer, focusing solely on design and marketing while outsourcing all manufacturing, proving a company doesn't need factories. ARM went further, designing only licensable processor IP instead of physical chips—sending not the brain, but just the "synapses." This is about doing more with less, becoming "lighter." IKEA exemplifies this. Faced with bulky furniture, it had customers assemble products themselves. This shifted from a cost to a selling point: lower prices and instant ownership. It redefined outsourcing: having the customer complete the task. VISA took it to another level. Instead of controlling banks, it created a shared network governed by its rules. VISA owns almost nothing—no customers, accounts, or money—just the essential standards and connections, controlling the most critical relationships. This evolved into the "chaordic" (chaos + order) organization, blending competition and cooperation within a stable framework. Now, AI Agents are making true "chaordic" organizations practical by turning execution into an on-demand capability. The leader's role shifts from organizing resources to designing rules and defining goals, principles, and boundaries—more like a constitution writer than a manager. AI becomes an "organizational coordination layer," redistributing decision-making and embedding governance. The ultimate implication is profound: "Just sending the brain" means the future commercial entity won't need a permanent, complete "body" (factories, employees, supply chains). It can temporarily assemble, borrow, or outsource its components. The most significant organizational revolution of AI may not be replacing employees, but reducing the necessity of the organization itself. Mastering this "just send the brain" mindset will be crucial for the next decade.

The Russian Telegram channel "МИГ России," with nearly half a million subscribers, recently proposed four strategies for navigating an uncertain AI future, endorsing "placing a bet on God" as the most reasonable approach. This stance, while presented as local commentary, aligns closely with positions held by major global religious institutions like the Vatican and the Church of Jesus Christ of Latter-day Saints over the past few years. These institutions warn that AI risks becoming a "speaking idol"—a seductive, god-like replacement that offers the illusion of presence without true divinity. They emphasize that technology must remain a tool subservient to humanity, which is itself accountable to God. In contrast, some tech industry leaders use similarly religious language but reverse the hierarchy, describing advanced AI development as an act akin to "creating God." The channel "Китайская угроза" dismissed the religious argument as obscurantism, responding with a rhetorical question: "what if there is no God?" This echoes Dostoevsky's insight that without God, "everything is permitted," highlighting the core debate: who or what will set the ethical boundaries for an era of transformative AI. One side points to a divine Creator; the other implicitly trusts that limits will emerge spontaneously, a notion the article critiques as naive. The article concludes by comparing these theological frameworks to secular regulatory attempts, such as a proposed U.S. bill to criminalize superintelligent AI development. It argues that bans rooted only in legal penalties are fragile compared to boundaries grounded in shared moral consensus, suggesting that purely human-made limits may simply become a tactical advantage for those who choose to ignore them first. Ultimately, the question remains: will the boundaries be set by God, by humanity, or by the alluring "speaking idol" of AI itself?

The Telegram channel "МИГ России" (approx. 490k subscribers) published a post advocating for a "bet on God" as the most reasonable strategy for humanity in the face of uncertain AI development. This stance, while framed as local religious commentary, mirrors the core positions of major global religious institutions like the Vatican and the Church of Jesus Christ of Latter-day Saints. These institutions warn that AI, especially as it becomes more advanced and conversational, risks becoming a modern idol—a "speaking idol" that offers a false substitute for the divine. Leaders in the AI industry themselves sometimes use quasi-religious language, describing their work as "creating God" or aligning with angels, further blurring the lines between technology and transcendence. Critics, like the channel "Китайская угроза," dismiss such religious arguments as obscurantism without offering an alternative ethical framework. The article posits that this debate ultimately centers on a single question: who or what will set the limits in the AI era. As Dostoevsky noted, the absence of a higher moral authority ("if there is no God, everything is permitted") leaves decisions solely to the will of those who control the technology. While religious answers propose God as the ultimate boundary, purely secular attempts to establish limits—like proposed legislation in the US to ban superintelligent AI—may prove fragile if they rely only on legal sanctions without a broader shared moral foundation. The choice, as framed, is between God, humanity, or the alluring "speaking idol" of AI itself.