Why can some messages be compressed while others cannot? This video explores Huffman coding and Shannon’s concept of entropy, showing how probability and information theory determine the ultimate ...

Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...

The leak, triggered by a human error, exposed 500,000 lines of source code of Anthropic’s star product Claude Code.

Within days of each other, Anthropic first leaked the source code to Claude Code, and then a critical vulnerability was found ...

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...

Anthropic Accidentally Exposes Source Code for Claude Code ...

After details of a yet-to-be-announced model were revealed due to the company leaving unpublished drafts of documents and ...

A simple mistake revealed the inner workings of Claude Code, handing competitors a rare roadmap to one of the fastest‑growing ...

Authentication Failures (A07) show the largest gap in the dataset: a 48-percentage-point difference between leaders and the field. Leaders fix at nearly 60%, while the field sits at roughly 12%.

The biggest memory burden for LLMs is the key-value cache, which stores conversational context as users interact with AI ...