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

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.

See how we created a form of invisible surveillance, who gets left out at the gate, and how we’re inadvertently teaching the machine to see, think like us.

Its use results in faster development, cleaner testbenches, and a modern software-oriented approach to validating FPGA and ASIC designs without replacing your existing simulator.

AI, or Artificial Intelligence, was a creation of the tech community. Imagine the same community now getting worried about its own creation. It is exactly what’s happening today at various levels. But ...

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.

It turns out that some participants post .blend files, which are used by the popular Blender open-source 3D modeling system.

Getting LeetCode onto your PC can make practicing coding problems a lot smoother. While there isn’t an official LeetCode app ...

A REST API (short for Representational State Transfer Application Programming Interface) is a way two separate pieces of software can talk over the internet using standard rules. At its core, it lets ...

A new variation of the fake recruiter campaign from North Korean threat actors is targeting JavaScript and Python developers ...

It’s a breakthrough in the field of random walks.

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...