When Nandakishore Leburu was building LLM applications at LinkedIn, he learned that the models weren't the problem. The ...

An unpatched vulnerability in Anthropic's Model Context Protocol creates a channel for attackers, forcing banks to manage the ...

Opus 4.7 utilizes an updated tokenizer that improves text processing efficiency, though it can increase the token count of ...

A practical guide to Perplexity Computer: multi-model orchestration, setup and credits, prompting for outcomes, workflows, ...

The path traversal flaw, allowing access to arbitrary files, adds to a growing set of input validation issues in AI pipelines. Security researchers are warning that applications using AI frameworks ...

Every secure API draws a line between code and data. HTTP separates headers from bodies. SQL has prepared statements. Even email distinguishes the envelope from the message. The Model Context Protocol ...

Complex forms are often difficult to reason about because we treat them as event pipelines. A state-first perspective reveals a simpler architectural model. Forms remain one of the most important ...

A single unauthenticated connection gives attackers a full shell; credential theft observed in under three minutes on honeypot servers.

This important paper substantially advances our understanding of how Molidustat may work, beyond its canonical role, by identifying its therapeutic targets in cancer. This study presents a compelling ...

While there’s been plenty of debate about the tendency of AI chatbots to flatter users and confirm their existing beliefs — also known as AI sycophancy — a new study by Stanford computer scientists ...

Deciphering cellular microenvironments at atlas scale remains challenging. Here, authors present a scalable contrastive learning framework using cell-centric subgraphs to map niches across platforms.

Companies and researchers can use aggregated, anonymized LinkedIn data to spot trends in the job market. This means looking ...