Speculative decoding can help AI chatbots improve throughput and reduce hardware demand by using a smaller model to draft tokens that a larger model validates.

Spam accounts overwhelmed my database. Claude found the weaknesses, Codex wrote the fixes, and I deployed a new defense.

Anthropic’s AI coding agent silently encoded proxy hostnames and Chinese timezone data into invisible Unicode characters ...

A campaign active since last November has been targeting Python developers building Telegram bots with trojanized Pyrogram ...

Add Decrypt as your preferred source to see more of our stories on Google. Meta introduced Brain2Qwerty v2, a non-invasive AI system that decodes brain activity into text. The model achieved 61% ...

Abstract: With the rapid development of Real-Time Precise Point Positioning (RT-PPP), the BeiDou-3 PPP-B2b and Galileo High Accuracy Service (HAS) have become pivotal for providing free, global, ...

TeamPCP, the threat actor behind the recent compromises of Trivy and KICS, has now compromised a popular Python package named litellm, pushing two malicious versions containing a credential harvester, ...

Multi-agent systems, designed to handle long-horizon tasks like software engineering or cybersecurity triaging, can generate up to 15 times the token volume of standard chats — threatening their ...

The latest generation of large language models—from GPT-5 onward—still struggles when tasks are spread across multiple conversation turns. Researcher Philippe Laban and his team tested current models ...

Support BER (parser) and DER (parser and generator) encoding (including indefinite lengths) 100% python, compatible with version 2.7, 3.5 and higher Can be integrated by just including a file into ...