🧬 Shrikant Bhosale

iNzone

LEGO-MoE: Modular AI system proving Bhosale’s Inverse Scaling Law – where capability increases while inference cost decreases. Honest intelligence t

PotatoBullet

bhosale-first-law

riemann-mandate

ISL Framework for the Riemann Hypothesis – Research Program

physics-mandate

grounded-trading-detective

ISL Trading Framework – A++ Gold Standard. Dual-regime algorithmic trading system with perfect diagnostic power. 0 violations across 150+ backtests.

Project-Correction

PROJECT CORRECTION — EXECUTION MANDATE ACKNOWLEDGED The transition from Diagnostic Phase to Empirical Correction Phase is complete. The Inverse Sca

isl

beastbullet-core

beastbullet-experts

“Pre-trained expert models for BeastBullet Core”

Deterministic Proof Synthesis: Methodology and Case Studies

A deterministic framework for proof synthesis using language models as instruments rather than authorities.

Bhosale’s First Law — Empirical Verification Bundle v1.3

Real-world validation of the Inverse Scaling Law with GLUE benchmark achieving r = 0.9971 correlation.

The Inverse Scaling Law as Mandate for Riemann Hypothesis

Cross-domain efficiency principle providing new perspectives on the Riemann Hypothesis.

Expert Count as Structural Constant in MoE Latency Scaling

Validated architectural scaling relation for LEGO-MoE systems with 2.4% empirical error.

The Inverse Scaling Law: A Universal Constraint

Universal constraint governing all physically realizable systems across computational, physical, and biological domains.

Bhosale’s First Law of Reality: Empirical Validation

Complete peer-review-ready documentation with 98.1% cost reduction validation in AI systems.

Bhosale’s Inverse Scaling Law: LEGO-MoE MVP

Empirical validation via deterministic modular inference with minimum viable product demonstration.