All 2,608 AI stories, newest first · page 13 of 109
Bilibili has released a series of open small language models called Index-1.9B, trained on a massive dataset of Chinese and English tokens. These models are designed for various applications, from general use to specialized tasks like chat and character interaction.
Apple has filed a high-profile lawsuit against OpenAI, alleging the AI company misused its trade secrets. The case threatens OpenAI's expensive hardware investments and could complicate its path to an IPO.
Apple has filed a blockbuster lawsuit against OpenAI, accusing the company of stealing confidential documents, spying on hardware prototypes, and tricking one of its employees into joining the startup. The lawsuit includes several wild claims about OpenAI's alleged misconduct.
A new AI tool called Avatarify can generate personalized 3D avatars from a few photos. This could change how we create digital identities for gaming, social media, and virtual meetings.
New research proposes a system where small, rule-aligned language models and multi-agent self-correction generate and reconfigure industrial control policies from natural-language requirements. A digital twin validates actions before execution, addressing latency and compute constraints of large cloud models.
PlanWright is a new tool that helps manage AI coding agents, making it easier to plan, implement, and review code changes. It logs all decisions and actions, providing full documentation for better collaboration and oversight.
Researchers have created OpenProver, an open-source AI system for automated theorem proving that integrates with Lean 4, a formal verification tool used by mathematicians. It uses a Planner-Worker-Verifier architecture to decompose complex problems and verify solutions.
A growing collection of open-source AI apps now run entirely on your device, keeping your data private. These tools work offline, making advanced AI accessible without an internet connection.
A new research paper challenges the idea that AI models can easily become misaligned and then realigned. The study finds these behaviors are highly sensitive to fine-tuning details, suggesting they may not be as robust as previously thought.
Researchers created a new test called Long-Horizon-Terminal-Bench to evaluate AI agents on complex, time-consuming tasks. Unlike previous tests, it measures progress over time, not just final results.
Researchers proposed a system to make AI's scientific reasoning transparent. This could help scientists audit AI-generated ideas like they would their own notes. The tool creates a structured record of AI hypotheses and experiments, making it easier to follow the AI's thought process.
Researchers have developed a way to catch AI chatbots when they make up false information. This is especially important for systems that need to provide accurate details, like recommending restaurants or booking appointments.
Researchers have developed a neuro-agentic control framework that combines AI planning with traditional security systems. This could make industrial IoT environments safer by reducing the risk of costly downtime and physical damage from cyberattacks.
Researchers created MedRealMM, a real-world benchmark for medical AI that includes real patient-doctor conversations and medical images. This could lead to more accurate and reliable AI tools for online healthcare consultations.
Researchers created a new test to measure AI's ability to connect clues scattered across long documents. This could improve how AI understands complex real-world information.
Microsoft's CEO has issued a stark warning about the risks of frontier AI labs accessing corporate intellectual property. Companies are being urged to take proactive measures to safeguard their sensitive data.
In a surprising blog post, Microsoft CEO Satya Nadella warned enterprises about the dangers of relying on proprietary AI models from companies like Anthropic and OpenAI, urging businesses to maintain control over their AI systems to avoid vendor lock-in and unforeseen risks.
Researchers created LongMedBench, a new benchmark for AI medical assistants that simulates real-world patient care over time. Built from real EHR data (MIMIC-IV), it evaluates how well AI can handle ongoing treatments, repeated visits, and evolving health conditions.
Researchers have developed a new method called KV-PRM that makes multi-agent AI systems more efficient. This could lead to faster, more capable AI collaborations in complex scenarios. The technique reduces the computational cost of evaluating long interactions, making it practical for real-world applications.
Instagram head Adam Mosseri says AI-generated content should not be filtered out of the platform, but users who dislike it can choose to avoid it. He emphasizes transparency through labeling rather than removal.
Researchers introduced HALO, a method to enhance existing AI language models with minimal extra computation. It selectively refines responses, improving accuracy without wasting resources.
Researchers developed a new AI planning method called GATS that reduces computational costs and improves reliability by eliminating LLM calls during inference. It could make AI assistants more efficient at complex tasks.
Security experts are now using prompt injection techniques to stop AI-powered hacking tools. This method tricks malicious agents into shutting down before they can cause harm. It's a creative twist on a common attack strategy.
Local governments and residents are increasingly opposing the construction of AI data centers due to their massive energy demands and environmental impact. These protests are growing as tech companies expand their AI infrastructure.