https://ninadnaik.com/posts/Recent content in Posts on Ninad NaikHugo -- 0.139.0en-usWed, 17 Jun 2026 00:00:00 +0000https://ninadnaik.com/posts/trust-regimes-and-how-to-position/Wed, 17 Jun 2026 00:00:00 +0000https://ninadnaik.com/posts/trust-regimes-and-how-to-position/Trust is the substrate of growth, and it may be degrading – but probably less than it feels. A framework for reading which regime you're in, how a two-phase devolution would unfold if the substrate breaks, and why the honest posture is to compound through the muddling and merely insure the collapse.https://ninadnaik.com/posts/where-do-abstractions-come-from/Fri, 29 May 2026 00:00:00 +0000https://ninadnaik.com/posts/where-do-abstractions-come-from/Abstractions don't emerge from data alone – they emerge from prediction meeting consequence, structured by the body's built-in priors. An LLM trained on text is studying reality's shadow projected onto language. And you cannot reconstruct reality from its shadow.https://ninadnaik.com/posts/llms-are-an-io-layer/Sat, 16 May 2026 00:00:00 +0000https://ninadnaik.com/posts/llms-are-an-io-layer/Production LLM systems that work reliably converge on the same pattern: LLMs for parsing input and writing output, deterministic code for everything between. Six patterns for building systems that don't hallucinate numbers.https://ninadnaik.com/posts/intelligence-is-compression/Mon, 11 May 2026 00:00:00 +0000https://ninadnaik.com/posts/intelligence-is-compression/Experience alone does not produce intelligence – compression does. Intelligence advances in discontinuous jumps, when many experiences collapse into reusable abstractions. The bottleneck isn't compute or data – it's the ability to decide what to keep, what to discard, and how to reorganize what remains.https://ninadnaik.com/posts/intelligence-as-tree-search/Thu, 04 Sep 2025 00:00:00 +0000https://ninadnaik.com/posts/intelligence-as-tree-search/Intelligence is massively parallel tree search guided by memory and logic. From evolution's glacial updates to humanity's network-speed learning, we trace how the speed of belief updates determines intelligence levels — and why AGI will emerge from millions of specialized agents, not a single superintelligence.https://ninadnaik.com/posts/what-is-intelligence/Sun, 01 Jun 2025 00:00:00 +0000https://ninadnaik.com/posts/what-is-intelligence/A philosophical exploration of what intelligence truly is—across humans, animals, and machines—arguing that our failure to understand intelligence means we're building powerful AI systems without knowing what we're actually creating.