AI Posts
The Calculating Hawk
Academic 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.
The Enclosure
In 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.
The Willing Surrender
Anthropic 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?
Who Teaches the Machine: How Grail is Decentralizing the Most Consequential Phase of AI Development
Pre-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.
The Silicon Valley Warlord
A 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?
The Internet is the Datacenter: How Templar is Building the Final Form of Decentralized AI Training
For 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.
AI and the War Machine
Dario 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.
CCLoco: How Templar is Breaking the Communication Barrier in Decentralized AI Training
Why a technical breakthrough in gradient compression could reshape who controls the future of artificial intelligence
Beyond the Crystal Ball: How Score SN44 Actually Works
A 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.
Probability Clouds Over Price Predictions: How Synth SN50 Gets Mandelbrot Right
A 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.
The Basement Rebellion: How a Bunch of Crypto Punks Are Building the People's AI
Meet the cryptopunk miners of Templar training AI models on their gaming rigs, challenging the assumption that only trillion-dollar companies can build artificial intelligence.
Chasing Chaos: Can Bittensor's AI Oracles Decode Mandelbrot's Market Fractals?
An 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.
The Extractive Value Proposition of Bittensor's TaoHASH: A Critical Analysis
An examination of how TaoHASH's mining hashrate marketplace creates value misalignment with Bittensor's core mission of incentivizing AI development.
Preserving Innovation: Why Bittensor Needs Non-Commercial Subnets
An analysis of how non-commercial subnets are essential for maintaining true innovation in Bittensor's dTAO ecosystem, drawing parallels with successful open-source projects.
DeepSeek and the Open AI Movement: Ushering in a Collaborative Future
In 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.