HydroX AI
Blogs
Research notes, company updates, partner announcements, and practical writing from the HydroX content archive.
Archive
Research notes, product thinking, and company updates from the HydroX AI content archive.
We’re excited to announce that HydroX AI is sponsoring and collaborating on new AI safety research. Our latest paper explores a key yet overlooked factor in LLMs: how output length affects model safety and reasoning.
DeepSeek, a Chinese AI company, has recently gained attention in the AI community. Known for its innovation, it has developed models that rival top systems — offering similar performance with lower cost and resource use.
Alongside major closed-source model announcements in late 2024, the open-source community also saw key releases. In this brief post, we explore Llama-3.3 and Tulu-3, evaluating their performance in terms of AI safety and security.
AI agents powered by advanced LLMs like GPT-4 and Llama are revolutionizing human-machine interaction, but they come with risks. This blog explores how a simple adversarial strategy can reveal vulnerabilities and leading to dangerous consequences.
AI-powered scrapers are not just faster—they're fundamentally more resilient and adaptive than their traditional counterparts.
Anthropic’s release of Claude 3.5 is a major step forward in LLM evolution. At HydroX AI, we're excited about its potential for AI-powered operations, while also prioritizing safety as AI takes on more complex roles.
In our previous Llama-generation report, we found that the larger Llama-3.1-70B model had lower safety than the smaller Llama-3.1-8B. This article explores the relationship between model size and safety, shedding light on why bigger models aren't always safer.
On September 12, 2024, OpenAI released its powerful new model, OpenAI o1, featuring advanced reasoning and enhanced safety against jailbreak attempts. This sets a new benchmark for secure AI, while the GPT-4o mini model is also praised for its strong safety features.
The Llama series, an open-source LLM developed by Meta, has gained recognition for its high performance and the emphasis placed on safety and security during its development.