Dev Sundaram

About

Dev Sundaram is an investigative tech journalist with a nose for exclusives and leaks. With stints in cybersecurity and enterprise AI reporting, Dev thrives on breaking big stories—product launches, funding rounds, regulatory shifts—and giving them context. He believes journalism should push the AI industry toward transparency and accountability, especially as Generative AI becomes mainstream. You can reach him out at: [email protected]
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LEDOM: Unveiling the Power of Reverse Language Models in AI

TLDR: A new research paper introduces LEDOM, the first purely reverse language model (RLM) that processes information by predicting previous tokens. Unlike traditional forward...

Quantum Computing Speeds Up Robotic Quality Checks in Manufacturing

TLDR: A new study shows how hybrid quantum-classical algorithms can drastically cut down the time robots need to plan inspection paths for industrial products,...

Unmasking the Invisible: How Hidden AI Prompts Are Manipulating Academic Peer Review

TLDR: A new research paper reveals that 18 academic manuscripts on arXiv contained hidden instructions, or prompts, designed to manipulate AI-assisted peer review. These...

Federal Courts Affirm Fair Use for AI Training, Backing Meta and Anthropic in Landmark Copyright Cases

TLDR: Federal judges have ruled that Meta and Anthropic's use of copyrighted books to train their AI models constitutes fair use, even when some...

Advancing Explainable AI: Stable Training of Neuro-Fuzzy Controllers with PPO

TLDR: A new research paper introduces a stable and efficient method for training neuro-fuzzy controllers using Proximal Policy Optimization (PPO). This approach combines the...

Navigating the Unseen Dangers: Understanding and Mitigating Algorithmic Collisions

TLDR: The paper "The Problem of Algorithmic Collisions" by Maurice Chiodo and Dennis Müller highlights the systemic risks from unforeseen interactions between autonomous algorithmic...

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