All posts by igorperic

The Model Context Protocol (MCP): Navigating the Risks of a Rapidly Evolving AI Ecosystem

The landscape of artificial intelligence is constantly shifting, with new protocols and frameworks emerging to enhance the capabilities of large language models (LLMs). Among these advancements, the Model Context Protocol (MCP) has garnered significant attention, promising a standardized approach to connecting AI assistants with the vast amounts of data and tools that exist across various…

Read More

Why Does Reinforcement Learning Outperforms Offline Fine-Tuning? Generation-Verification Gap Explained

In the ever-evolving world of artificial intelligence, fine-tuning models to achieve optimal performance is a critical endeavor. We often find ourselves choosing between different methodologies, particularly when it comes to refining large language models (LLMs) or complex AI systems. Two primary approaches stand out: reinforcement learning (RL) and offline fine-tuning methods like Direct Preference Optimization…

Read More

Cryptography tech fuelled by blockchain – ZKP, FHE, MPC, TEE

One key aspect of blockchain privacy is the trade-off between transparency and confidentiality. While transparency is a hallmark of blockchain, offering accountability and trust, it can compromise privacy in use cases like enterprise transactions and proprietary trading. This led me to explore and learn about technologies like Zero-Knowledge Proofs (ZKPs), Fully Homomorphic Encryption (FHE), Multi-party…

Read More

Leetcode 2429 – Minimize XOR

Source: https://leetcode.com/problems/minimize-xor/ Problem statement Given two positive integers num1 and num2, find the integer x such that: x has the same number of set bits as num2, and The value x XOR num1 is minimal. Note that XOR is the bitwise XOR operation. Return the integer x. The test cases are generated such that x…

Read More