Can frontier open-weight language models be served on workstation-class NVIDIA Blackwell GPUs interconnected by commodity RDMA Ethernet, without NVLink or InfiniBand? Part 1 of an ongoing PureTensor research programme brings up the cluster, characterises the fabric, verifies GPUDirect RDMA, and demonstrates first cross-node inference of Llama 3.1 405B.
ReadThe third paper in the CMAS research series, and the artefact the methodology was built to produce. Cosmology is the conduit; the question is whether structured adversarial interaction between frontier AI models can produce research-grade technical output on an open problem where no ground truth exists. The paper below is what came out.
ReadCan a vague metaphysical idea, lacking any mathematical grounding, be refined into a falsifiable research programme through structured adversarial interaction between frontier AI models? A case study in speculative cosmology.
ReadCan structured adversarial interaction between independently trained LLMs produce insights that exceed any single model's capability? We present a theoretical framework and initial case study in black hole information theory.
ReadAn analysis of how autonomous code-generation agents are compressing multi-month development cycles into days, and what the structural implications are for the software engineering profession.
ReadOver 80% of enterprise AI initiatives fail before reaching production. The bottleneck is not model capability but context architecture. A technical analysis of the emerging discipline of context engineering.
ReadAdversaries are stockpiling encrypted data today, betting that quantum computers will break current encryption within a decade. What this means for organizations running sensitive AI workloads.
ReadThe global chip supply chain depends on a handful of irreplaceable facilities, materials, and monopolies. A technical assessment of concentration risk and its implications for AI compute sovereignty.
ReadAI progress is increasingly constrained not by algorithms but by the physical infrastructure required to run them. An analysis of power, cooling, chip lifespan, and supply chain fragility.
ReadAI agents are not improving enterprise SaaS. They are replacing it. An analysis of the structural threat to per-seat licensing models and the emerging 'service-as-software' paradigm.
ReadAI automation increases corporate efficiency but simultaneously reduces consumer purchasing power. An examination of the macroeconomic feedback loop that could constrain AI adoption.
ReadGoogle's Willow processor demonstrated a 13,000x speedup over classical computation. What this actually means for AI infrastructure, and what it does not mean for encryption.
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