1496 stories tagged AI · page 37 of 63
A tech hobbyist successfully ran a massive AI language model using 768GB of Intel Optane memory and a single graphics card. The setup, called Local Kimi K2.5, achieved roughly 4 tokens per second, showing how powerful consumer hardware can be for cutting-edge AI experiments.
Braintrust engineers use OpenAI's Codex with GPT-5.5 to quickly turn customer requests into working code. This speeds up development and reduces manual coding time.
Base AI has released an open-source AI model that can compete with OpenAI's offerings. The service is free to use, making advanced AI tools more accessible to everyone.
Researchers at UC San Diego have developed an AI model that can predict how tumors will respond to treatments by analyzing their genetic mutations. This could lead to more personalized and effective cancer treatments in the future.
South Korean chip startup XCENA has raised $135 million at a $570 million valuation to develop memory solutions for AI. They argue that memory, not processing power, is the real bottleneck in AI performance. This could revolutionize how AI systems are built and scaled.
Researchers have developed VFEAgent, an AI system that automates Finite Element Analysis (FEA) from images and text descriptions. This could make advanced engineering tools accessible to non-experts, speeding up design processes.
Students at the University of Waterloo are developing AI prototypes, including a sign language tutor, to revolutionize learning and professional skills. These tools aim to make education more accessible and adaptable to individual needs.
Sam Altman, CEO of OpenAI, now believes AI won't cause the massive job losses he once predicted. He says AI will create new opportunities instead. This shift in perspective is significant for workers and businesses alike.
Scientists have created StoryMI, a multi-AI system that can generate realistic therapeutic dialogues. This tool could help train therapists and provide new ways to practice motivational interviewing techniques.
Nvidia is pouring $150 billion into Taiwan to make it the global center of AI chip production. This move comes as the US struggles to meet its own AI hub ambitions, highlighting Taiwan's critical role in the tech supply chain.
Researchers found that different large language models (LLMs) often categorize the same public comments in conflicting ways. This can shape what policymakers see, potentially biasing decisions. The study proposes a new audit pipeline to flag disagreements for human review.
A new AI tool called Claw-Learn helps students understand math problems by showing step-by-step visual explanations. This could make learning math more intuitive for those who struggle with traditional methods.
Researchers created a new AI model called the Cognitive Categorical Transformer (CCT) that mimics how the human brain categorizes information. It outperforms a standard model by 12% on a language test, showing promise for smarter, more context-aware AI assistants.
Kog AI has developed a method to run large language models at 3,000 tokens per second on standard GPUs, making advanced AI faster and more accessible. This breakthrough could significantly reduce the cost and complexity of AI applications.
Researchers found that the tone of your questions can change how well AI models like ChatGPT answer. Polite or neutral tones often get better results than aggressive or overly casual ones. This matters because it shows how small changes in how we talk to AI can make a big difference in the answers we get.
Google unveiled Gemini Omni and Gemini 3.5 at I/O 2026, showcasing their advanced AI capabilities through nine impressive demos. These models push the boundaries of what AI can do, from creative tasks to complex problem-solving.
DeepSeek has made its advanced AI models dramatically cheaper to use. This could make powerful AI tools accessible to far more people and small businesses.
Major cloud providers are redesigning their infrastructure to handle AI-generated traffic, not just human users. This shift could make the internet faster and more efficient for everyone.
Anthropic just released Opus 4.8, a new AI model that can coordinate multiple AI assistants to work together. This could make complex tasks faster and easier for regular users.
Anthropic, a rival to OpenAI, has reached a staggering $965 billion valuation. This makes it the most valuable AI company in the world. The news highlights the intense competition in the AI sector.
A new study tested AI-generated reviews for academic papers and found they don't always match human opinions. The research also reveals that authors can "game" the system by using AI to revise their papers before submission, raising serious questions about fairness and reliability in scientific publishing.
The Austrian Academy of Sciences, in collaboration with Mistral AI and Reply, is developing an AI model called Apollo to read and translate ancient Greek papyri. This project could revolutionize how we study historical texts that were previously unreadable.
AI models can't reliably tell cause from effect, even with fine-tuning. Researchers prove this is a fundamental limitation and propose a new method to overcome it.
Warp, a developer tools company, is using OpenAI's GPT-5.5 to create intelligent coding agents that work across local, cloud, and open-source environments. This could make coding faster and more collaborative for everyone.