Fail Fast, Learn Locally, Scale Globally. Explore our work across sovereign foundation models, sub-100ms inference pipelines, mechanistic interpretability, and the economics of agentic autonomy.
We are releasing our next-generation publishing platform, rebuilt from first principles using Astro SSG, Anthropic editorial aesthetics, and sub-100ms static performance.
An in-depth analysis of India's ₹10,371 crore IndiaAI Mission, its seven strategic pillars, twelve indigenous foundation models, and the 38,000+ GPU national compute infrastructure.
An analysis of the industry-wide sunset of early multimodal flagships as enterprise workloads migrate towards verifiable reasoning architectures.
A novel quantization-aware training methodology achieving up to 10x model compression while preserving 99% of original FP16 reasoning accuracy on consumer hardware.
Deconstructing model representations using Sparse Autoencoders to identify internal reasoning circuits and prevent deception.
Enforcing principled human-value alignment and automated self-critique without degrading model capability.
Architecting national compute ecosystems, open-weight Indic language models, and data sovereignty frameworks for 1.4B citizens.
Pioneering dynamic quantization and sub-100ms inference pipelines to run 70B+ parameter models on consumer hardware.
Proactively testing cyber resilience, prompt injection resistance, and lethal agentic privilege escalation.
Archive & Dispatches
