From ‘Hallucinate’ To ‘Better Than Humans’: Nithin Kamath Impressed With Rapid Advance Of LLMs

Nithin Kamath highlights how LLMs evolved from hallucinations to Linus Torvalds-approved code, democratizing tech and transforming software development.

'Coding is becoming plain English': Nithin Kamath builds personal AI agent to tackle spam

Earlier, Kamath highlighted a massive shift in the tech landscape: Large Language Models (LLMs) have evolved from “hallucinating" random text in 2023 to gaining the approval of Linus Torvalds in 2026.
Security Boulevard

Zero-Knowledge Proofs for Verifiable MCP Tool Execution

Learn how Zero-Knowledge Proofs (ZKP) provide verifiable tool execution for Model Context Protocol (MCP) in a post-quantum world. Secure your AI infrastructure today.
Investopedia

Understanding Simple Random Sampling: Key Advantages & Limitations

Melissa Horton is a financial literacy professional. She has 10+ years of experience in the financial services and planning industry. NicoElNino Simple random sampling gives each member of a ...