Why AI Stops at the Door of Senior Hiring in Indian IT

As artificial intelligence (AI) continues to evolve, the risks associated with misconfigured permissions in enterprise systems have become increasingly significant. AI agents can perform tasks at speeds far exceeding human capabilities, which raises concerns about the rapid propagation of errors, particularly in sensitive areas such as data access and compliance.

A recent study indicates that AI-generated wildlife videos, such as the viral clip of bunnies on a trampoline, may create a disconnect between people and real animals, potentially undermining wildlife conservation efforts. The study highlights concerns over the impact of artificial representations on public perception of wildlife.

Recent studies reveal that while AI, particularly generative AI, has improved in accuracy, its flawed reasoning processes pose significant risks in critical sectors such as healthcare, law, and education. These findings highlight the need for a deeper understanding of AI's decision-making mechanisms.

Adaptive manufacturing is leveraging artificial intelligence (AI) and automation to enhance the resilience of global supply chains, allowing for a more balanced approach between local and global production needs. This innovative strategy aims to address vulnerabilities exposed by recent disruptions in supply chains.

Researchers have discovered that certain sentence structures can bypass AI safety rules, shedding light on the mechanics behind successful prompt injection attacks. This finding raises concerns about the robustness of current AI safety protocols and the potential for misuse in various applications.

LTIMindtree and Armada have announced a collaboration aimed at scaling edge and sovereign AI deployments, focusing on helping enterprises maintain data sovereignty, privacy, and operational continuity while implementing AI technologies at scale.

Big Tech's longstanding strategy of minimizing spending while maximizing earnings is facing significant challenges due to the rapid advancements in artificial intelligence (AI). This shift threatens the traditional business models that have driven growth for two decades, as companies are now compelled to invest heavily in AI technologies to remain competitive.

NVIDIA has announced the open-sourcing of its reasoning model for autonomous driving, named AR1, at the NeurIPS 2025 conference. This model is designed to break down scenes step by step, evaluating possible trajectories and uncertainties to enhance decision-making in self-driving vehicles.