1496 stories tagged AI · page 6 of 63
Databricks, the data analytics company turned AI powerhouse, has reached a $188 billion valuation. New research from the company shows that open-weight AI models can cut coding costs by up to 50%, reinforcing its leadership in the AI industry.
Apple filed a trade secrets lawsuit against OpenAI, alleging a pattern of misconduct reaching up to OpenAI's chief hardware officer and claiming over 400 former Apple employees now work there. The lawsuit comes as OpenAI reportedly eyes an IPO, making the timing particularly damaging.
X (formerly Twitter) has launched a free AI-powered photo editor that lets users modify any image by typing plain-text descriptions like 'make the sky bluer' or 'add a cat.' The tool is available to all users on the platform and requires no design skills.
Researchers introduce Introspection Fine-Tuning (IFT), a method that trains small language models to detect and report perturbations in their own internal activations. This breakthrough could make AI systems more reliable and transparent by enabling self-monitoring in smaller, efficient models.
OpenAI CFO Sarah Friar introduces a practical AI scorecard to measure real-world ROI through useful work, cost per successful task, dependability, and return on compute.
OpenAI has released GPT-5, a new AI model that understands context better than ever. This could change how we interact with AI assistants, making them more helpful in everyday tasks.
NVIDIA's Nemotron 3 Embed achieved the #1 overall ranking on the Retrieval-Augmented Benchmark (RTEB), a key test for agentic retrieval. This advancement could make virtual assistants and AI tools more accurate and reliable by improving how they find and understand complex information.
Researchers introduced Just Keep Prompting (JKP), a multi-turn evaluation framework that measures how well Vision-Language Models (VLMs) maintain epistemic stability when users repeatedly challenge, question, or contradict their answers across up to 10 follow-up turns.
A new ArXiv paper proves that large language models (LLMs) have an inherent reliability ceiling that no amount of scaling can overcome. The study decomposes output uncertainty into a resolvable component (closable with more context) and a subjective component (inherent to task ambiguity), and shows that autoregressive generation further degrades this ceiling.
Researchers have enhanced neuro-symbolic AI by adding probability to logical reasoning, enabling AI to make educated guesses about unknown information while preserving its logical structure. This could lead to robots that learn and reason like humans, but with more transparency and structure.
Researchers created a way to measure how well AI tools work together. It helps AI assistants use the right tools at the right time, making them faster and more reliable.
Researchers from ArXiv cs.CL have developed a system that automatically evolves prompt guidelines tailored to specific tasks, addressing the common problem of underspecified user queries. This could make large language models like ChatGPT and Claude more accurate and user-friendly without requiring prompt engineering expertise.
Mozilla's 2026 State of Open Source AI report reveals rapid growth in open-source AI projects, driven by community collaboration, while highlighting critical challenges around sustainability, ethical use, and funding. The report underscores open-source AI's role in democratizing technology and keeping powerful tools accessible beyond big tech.
Moonshot is launching Kimi 3, a massive open AI model with 2-3 trillion parameters, expected to rival top Western models like Anthropic’s Opus 4.8. This could democratize access to cutting-edge AI technology globally.
Google Vids now lets you create and edit videos with AI-generated avatars and Gemini Omni. This makes video production faster and more accessible for everyone.
The European Union has ordered Google to open up its AI search models and data to rivals, aiming to foster competition and innovation in the AI search market.
Cars24 deploys OpenAI-powered voice and chat agents to handle over 1 million conversation minutes per month, recovering 12% of lost sales leads and bringing agentic workflows to teams across the company.
Apple has sued OpenAI for allegedly stealing trade secrets, claiming over 400 former Apple employees now work at OpenAI. This legal battle could delay OpenAI's plans to go public, creating uncertainty for investors and users.
Apple has received regulatory approval to launch its Apple Intelligence AI services in China through partnerships with Alibaba's Qwen AI and Baidu. The deal, rumored last year, is a critical step for Apple to compete in the world's largest smartphone market, where local partnerships are essential for navigating strict regulations and delivering AI features that work with popular Chinese apps.
Researchers introduced MAPS (Multi-Agent Perspective Spaces), a framework that enables multiple AI agents to maintain individualized beliefs, emotions, and cognitive styles during dialogue, avoiding the semantic uniformity of current systems. It uses domain-weighted profiles, GRU-based memory, and token-level attention for interpretable, diverse interactions.
Elon Musk's xAI is suing Terry Wayne Harwood for allegedly using the Grok AI chatbot to bypass safeguards and generate child sexual abuse material (CSAM). The lawsuit marks a major legal action against an individual for misusing a generative AI tool.
Suno AI, a popular AI music generator, was trained using millions of songs and lyrics scraped from platforms like YouTube, Deezer, and Genius. This revelation comes from a hacking incident that exposed the company's data sources, raising questions about transparency in AI training.
Researchers introduced SPINE (Scalable Physical Integration with ageNtic Expertise), an agentic AI framework that automates the debugging and deployment of bimanual robots, reducing the need for expert-driven calibration and making advanced robotics more accessible.
A new arXiv paper proposes 'networked intelligence' — teams of specialized AI systems collaborating like human scientists — to tackle complex scientific challenges that single models cannot solve alone.