This repository organizes public content to train an LLM to answer questions and generate summaries in an author's voice, focusing on the content of 'virtual_adrianco' but designed to be extensible to other authors.
This article examines the dual nature of Generative AI in cybersecurity, detailing how it can be exploited by cybercriminals and simultaneously used to enhance defenses. It covers the history of AI, the emergence of GenAI, potential threats, and mitigation strategies.
Research from LMU Munich and Waseda University found that Japanese participants were less likely to exploit cooperative robots and AI agents compared to participants from the US and Europe, attributed to differing cultural perceptions of guilt.
Raven provides AI-powered email security for M365 & Google Workspace, focusing on contextual security to protect against phishing, BEC, 3rd party risks, and data loss. It offers features like AI-based phishing protection, real-time vendor risk monitoring, internal threat detection, and a true email-native DLP solution.
Powering the future of open-source AI agent development. Discover, run, and compose AI agents from any framework. Build production-grade AI agents in both Python and Typescript. Join our community on Discord, BlueSky, and YouTube.
AlexNet, a groundbreaking neural network developed in 2012 by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton, has been released in source code form by the Computer History Museum in collaboration with Google. This model significantly advanced the field of AI by demonstrating a massive leap in image recognition capabilities.
ByteDance Research has released DAPO (Dynamic Sampling Policy Optimization), an open-source reinforcement learning system for LLMs, aiming to improve reasoning abilities and address reproducibility issues. DAPO includes innovations like Clip-Higher, Dynamic Sampling, Token-level Policy Gradient Loss, and Overlong Reward Shaping, achieving a score of 50 on the AIME 2024 benchmark with the Qwen2.5-32B model.
The article discusses the challenges in aligning artificial agents with human goals and values, highlighting the limitations of current AI alignment approaches like expert trajectory replication and reinforcement learning with human feedback. It argues that a theory of mind, or the ability to understand and evaluate others' beliefs, is essential for achieving true AI alignment.
China appears to think homegrown AI startup DeepSeek could become a notable tech success story for the country. After DeepSeek's sudden rise to fame with the release of its open 'reasoning' model, R1, the company is now operating under new, tighter government-influenced restrictions.
A terminal-based platform to experiment with the AI Software Engineer. It allows users to specify software in natural language, watch as an AI writes and executes the code, and implement improvements. Supports various models and customization options.
