155 stories tagged Models · page 4 of 7
Anthropic has formally accused Alibaba of unauthorized access to its proprietary AI models. The allegation, reported by Bloomberg, raises new questions about intellectual property theft and competitive espionage in the fast-moving AI industry.
Sakana AI released Fugu Ultra, a new AI model that matches the capabilities of leading frontier models like Google's Gemini and OpenAI's GPT. The model is designed to be more accessible and cost-effective, with fewer restrictions.
Researchers found that selecting the most informative comparison pairs during AI training can improve results. This approach could make AI models more efficient to train without extra cost.
DeepSeek has released a preview of its V4 models, which can process up to 1 million tokens in context and introduce a new hybrid attention architecture. This breakthrough could make AI assistants much more useful for long documents and complex tasks. The models use new techniques to handle large amounts of text efficiently, making them faster and more capable than previous versions.
GLM-5.2 is a new open-source AI model designed to handle long-horizon tasks better than most. It's now available for anyone to use and build upon.
A Hacker News thread reveals how developers choose AI models for daily features like content generation and recommendations. Many focus on cost, speed, and ease of use over cutting-edge performance.
Researchers introduced Nemotron 3 Ultra, a massive AI model with 550 billion total parameters and 55 billion active parameters. It uses advanced techniques like a hybrid Mamba-Transformer architecture, Mixture-of-Experts, and Multi Token Prediction to handle long texts and complex reasoning tasks more efficiently than ever before.
Researchers have developed new AI models that respond instantly while maintaining strong reasoning. These models could make AI tools faster and more capable for everyday users. The models, Ling-2.6 and Ring-2.6, are designed to be efficient and practical to use, potentially improving AI assistants and other tools we interact with daily.
Anthropic is facing a government order to block foreign access to its new AI models, Fable 5 and Mythos 5. This comes amid an ongoing dispute with the Pentagon, highlighting growing tensions between AI companies and regulators. The order arrived just three days after the models' launch.
Researchers found that selecting training data can accidentally bias AI models, making them less accurate. This happens when the data used to verify the model is itself incomplete or skewed, leading to a breakdown in performance. This affects how AI systems learn and could impact everything from chatbots to medical diagnostics.
Researchers found that AI models can identify each other even when their outputs are anonymized. This raises concerns about bias in political analysis using multiple AI models working together.
Anthropic has released Claude Fable 5, its most advanced AI model to date. This model excels in software engineering, knowledge work, and vision tasks, especially for complex, long-form projects.
A new position paper argues that AI models should be studied as evolving processes, not just fixed products. The paper calls for a science of AI that focuses on training dynamics to better understand why model behaviors emerge, rather than relying on post-hoc fixes.
Scientists have discovered a new way to fine-tune AI models by separating the direction and strength of their internal signals. This could lead to more precise and reliable AI behavior. The research challenges the common assumption that only the direction of these signals matters, not their intensity.
Hugging Face has released a new command-line interface (CLI) designed to streamline interactions with their AI model Hub. This tool makes it easier for developers and AI enthusiasts to manage models and datasets directly from their terminal.
NVIDIA's Nemotron 3.5 ASR model can now be fine-tuned for specific languages, accents, or domains. This makes it more accurate for specialized applications like medical or legal transcription.
Researchers have extended Direct Preference Optimization (DPO) to improve AI models beyond just chatbots. This could make AI assistants more helpful and safer across various applications. Researchers open-sourced the code, making it accessible to developers and researchers worldwide.
Microsoft introduced MAI-Thinking-1, its first in-house AI model designed for advanced reasoning. This marks a significant step as Microsoft moves away from relying solely on OpenAI's technology.
A new study reveals that AI models can sometimes hurt their own performance by overthinking. Researchers from ArXiv cs.AI found that once a large reasoning model (LRM) reaches the correct answer, additional reasoning does not improve the response and can lead to new errors. This challenges the common assumption that longer reasoning always yields better results.
Researchers created a system where AI models argue like a panel of specialists, turning disagreements into better answers. This could make AI more reliable for complex questions.
JetBrains has released Mellum2, a 12-billion-parameter AI model designed to be more efficient and capable. This open-source tool is aimed at developers and researchers looking for advanced AI capabilities.
WindBorne uses AI and weather balloons to gather data, improving forecasts. Its unique approach is now more accurate than traditional government systems.
OpenAI has launched Rosalind Biodefense, a specialized AI tool for biodefense and public health. It's designed to help vetted developers and U.S. government partners prepare for and respond to biological threats.
Researchers have introduced two advanced AI models designed for long-term coding tasks. These models, Laguna M.1 and XS.2, represent a significant leap in AI capabilities for software development.