FILE 00118KPope Leo XIV's Magnifica Humanitas declares the centuries-old doctrine of just war 'outdated,' and ties the declaration directly to autonomous weapons systems. He then coins a phrase for what should replace it: disarming AI. Not rejecting technology. Freeing it from the logic of armed competition that has already captured the labs, the budgets, and the language.
FILE 00218KOn May 15, 2026, Pope Leo XIV published Magnifica Humanitas, a 38,000-word encyclical on artificial intelligence. Buried inside the Catholic Social Doctrine is a framework for decentralization that predates Bitcoin by 130 years, arrives at the same structural conclusions, and goes further than most crypto whitepapers in diagnosing what concentrated digital power actually does to people.
FILE 00319KIn the same month, Jack Clark and Chamath Palihapitiya independently flagged the same thing: a 72-billion-parameter model trained across 160 GPUs by anonymous participants coordinating through a blockchain. Neither is a Bittensor insider. Both recognized what it means when the ability to create foundation models stops being a privilege of five organizations.
FILE 00417KSomeone on X pointed out that Covenant-72b can't count the R's in strawberry. They're right. But so were the people who laughed at GPT-4 for the same mistake two years before it started passing the bar exam. The interesting question was never whether the model fails. It's why, what that reveals about intelligence, and what happens next.
FILE 00521KTony Hawk spent thirteen years trying to land a trick the world said was impossible. Within a decade, teenagers were doing it on YouTube. Steven Kotler calls this the 'seeing it done' effect. Covenant72B, the largest model ever trained on a fully decentralized network, is that same moment for AI. The impossible just became the starting line.
FILE 00620KAcademic research reveals Claude recommends nuclear strikes in 86% of simulated wargames and never once chose surrender. The Pentagon's response: designate the only company willing to say so a threat to national security.
FILE 00744KIn September 2025, Anthropic settled a $1.5 billion lawsuit for pirating seven million books. In January 2026, music publishers sued them for $3 billion over 20,000 torrented songs. In February, Anthropic accused DeepSeek of 'industrial-scale distillation.' The pattern is older than the internet. It is older than copyright itself.
FILE 00822KAnthropic analyzed 1.5 million conversations and found that users give higher approval ratings to the AI interactions that disempower them most. The lead researcher, having quantified this, resigned and left to become a poet. What does it mean when we prefer the thing that diminishes us?
FILE 00929KPre-training gives AI knowledge. Post-training teaches it judgment: what to refuse, how to reason, what to value. This is the phase where alignment happens, and while decentralized efforts existed, weight sync over public internet made them impractically slow. This week, a research paper from Grail demonstrated that the bandwidth barrier keeping RL post-training centralized was 99% redundant, an artifact of how we were moving data rather than a physical constraint. The implications extend far beyond compression ratios.
FILE 01034KA former Uber executive now controls DARPA, the Pentagon's AI office, and $200 billion in defense lending authority. In a revealing podcast, Emil Michael laid out the timeline: 20-30% of defense spending on autonomous weapons within a decade, robots as 'the new front line,' and an open door for startups who want to build the machines that kill. What remains for those of us who refuse to accept this direction?
FILE 01129KFor eighty years, the most powerful technologies have required concentration: co-located machines in fortress datacenters, tightly controlled by those who could afford the infrastructure. This week's research breakthrough from Templar marks something different, a technical path toward intelligence as genuinely distributed public infrastructure, where your home GPU can train frontier models alongside Google's datacenters.
FILE 01238KDario Amodei's October 2025 statement on 'American AI Leadership' strips away any remaining pretense that centralized AI development serves universal human welfare. Instead, it reveals the naked truth: AI monopolies are aligning with military-industrial interests and nationalist agendas.
FILE 01310KWhy a technical breakthrough in gradient compression could reshape who controls the future of artificial intelligence
FILE 01412KA correction to my March 2024 fractal markets analysis, acknowledging how Score SN44's computer vision infrastructure approach was unfairly characterized as a prediction service—and what this means for applying Mandelbrot's framework.
FILE 01514KA deep dive into Synth SN50's methodology reveals how one Bittensor subnet is successfully implementing Benoit Mandelbrot's fractal market insights through probabilistic forecasting rather than traditional price prediction.
FILE 0167KMeet the cryptopunk miners of Templar training AI models on their gaming rigs, challenging the assumption that only trillion-dollar companies can build artificial intelligence.
FILE 01711KAn analysis of Bittensor's prediction subnets through the lens of Benoit Mandelbrot's fractal market theory, examining the fundamental challenges and opportunities in AI-powered market forecasting.
FILE 0184KAn examination of how TaoHASH's mining hashrate marketplace creates value misalignment with Bittensor's core mission of incentivizing AI development.
FILE 0197KAn analysis of how non-commercial subnets are essential for maintaining true innovation in Bittensor's dTAO ecosystem, drawing parallels with successful open-source projects.
FILE 0205KIn an era defined by technological rivalries and corporate secrecy, a disruptive force is reshaping artificial intelligence. Last week's emergence of DeepSeek—a Chinese AI model matching the capabilities of leading proprietary systems—represents more than just another milestone in AI development. It heralds a renaissance in open-source collaboration that could fundamentally transform how humanity approaches technological innovation.
