Articles for category: AI News

Meta Tries to Stop Sarah Wynn-Williams From Further Selling Scathing Memoir

Meta won a legal victory on Wednesday against a former employee who published an explosive, tell-all memoir, as an arbitrator temporarily prohibited the author from promoting or further distributing copies. Sarah Wynn-Williams last week released “Careless People: A Cautionary Tale of Power, Greed, and Lost Idealism,” a book that describes a series of incendiary allegations of sexual harassment and other inappropriate behavior by senior executives during her tenure at the company. Meta pursued arbitration, arguing that the book is prohibited under a nondisparagement contract she signed as a global affairs employee. During an emergency hearing on Wednesday, the arbitrator, Nicholas

Pressure grows to hold secret Apple privacy hearing in public

Tom Singleton Technology reporter Getty Images US politicians, civil rights campaigners and the BBC are all calling for a High Court hearing about a data privacy row between Apple and the UK government to be held in public. The tech giant is taking legal action after the Home Office demanded the right to access customer data protected by its Advanced Data Protection (ADP) programme. Apple cannot access data stored in this way currently – but the UK government says it needs to be able to see it if there is a national security risk. The BBC understands the matter will

Nvidia’s GTC keynote will emphasize AI over gaming

Nvidia’s GPU Technology Conference (GTC) takes place in San Jose next week, not terribly far from San Franciso concurrently hosting the Game Developer’s Conference in the heart of the city. Despite geographic proximity, the subject matter of both conferences will likely be a world apart, as Nvidia CEO Jen Huang seems to be aiming for less of a talk about what Nvidia will do for gaming and more what it will do for AI. In Nvidia’s GTC session catalog, the keynote is described succinctly: “Don’t miss this keynote from NVIDIA founder and CEO Jensen Huang. He’ll share how NVIDIA’s accelerated

10 Best AI Avatar Generators (March 2025)

AI avatar generators have become useful tools for streaming and other forms of AI content creation, such as enhancing presentations, automating video production, or establishing a unique on-screen persona. These platforms enable creators to generate high-quality virtual presenters, complete with realistic facial expressions, synchronized voiceovers, and multilingual capabilities. Whether you are a live streamer, a content creator on YouTube, or a brand looking to engage audiences through interactive video content, the right AI avatar generator can significantly elevate your production quality and storytelling. Synthesys is an AI-powered media studio that lets you create videos with lifelike digital avatars. It offers

The Sequence Opinion #509: Is RAG Dying?

Created Using Midjourney Retrieval-Augmented Generation (RAG) is a technique that enhances generative models by integrating a retrieval mechanism, allowing them to access relevant external information. In a RAG pipeline, a query first triggers a search for pertinent documents, often using a vector database or search index. The retrieved text is then fed into the language model to guide its final response. This approach was pioneered around 2020 and quickly became significant for knowledge-intensive AI tasks. It allowed smaller or general-purpose models to achieve state-of-the-art results by incorporating external facts, addressing issues like hallucinations and outdated knowledge. RAG gained widespread adoption,

Google’s ultra-efficient Gemma 3

PLUS: Sakana’s peer-reviewed AI-authored paper Good morning, AI enthusiasts. The era of massive compute requirements for cutting-edge AI may be coming to an end, with Google’s latest open-source release outperforming giants at just a fraction of the size. With Gemma 3’s high-level performance, multimodal capabilities, and on-device operation on just a single GPU, the AI efficiency barrier is quickly getting destroyed. Google’s Gemma 3 for single-GPU deployment Gemini Flash with new image capabilities Create your AI-powered Telegram assistant Sakana’s peer-reviewed AI-authored paper 4 new AI tools & 4 job opportunities GOOGLE The Rundown: Google just unveiled Gemma 3, a new

Anna Karenina, a Book Like Any Other

Just some randomly-arranged pixels I opened my brand-new edition of Anna Karenina yesterday. To my dismay, I could only find some ink-scribbled symbols on the page. I turned a few more to see if this was a bad-taste joke or a serious mistake. Nothing. More weird symbols imprinted on the paper. I furiously closed the book and wrote the most damning review ever on Amazon: “Anna Karenina, a book like any other.” When I told people the story today they somehow kept insisting Anna Karenina is a masterpiece. Tolstoy is a genius, the characters are complex, Anna’s arc is tragic,

Last Week in AI #302 – QwQ 32B, OpenAI injunction refused, Alexa Plus

Top News Alibaba’s New QwQ 32B Model is as Good as DeepSeek-R1 ; Outperforms OpenAI’s o1-mini Alibaba has announced a new AI model, QwQ 32B, under its Qwen umbrella, which contains 32 billion parameters and is said to perform comparably to DeepSeek-R1, a model with 671 billion parameters. The success of the QwQ 32B model is attributed to the application of reinforcement learning (RL) to foundational models on a large knowledge corpus, and its agentic capabilities that allow for critical thinking based on external feedback. The model, which is available on Hugging Face and ModelScope, outperforms OpenAI’s o1-mini in several

Predictive Maintenance Proving Out as Successful AI Use Case 

By John P. Desmond, AI Trends Editor   More companies are successfully exploiting predictive maintenance systems that combine AI and IoT sensors to collect data that anticipates breakdowns and recommends preventive action before break or machines fail, in a demonstration of an AI use case with proven value.   This growth is reflected in optimistic market forecasts. The predictive maintenance market is sized at $6.9 billion today and is projected to grow to $28.2 billion by 2026, according to a report from IoT Analytics of Hamburg, Germany. The firm counts over 280 vendors offering solutions in the market today, projected to grow to over 500

AI expert Andrej Karpathy envisions a web where 99.9% of content is optimized for AI, not humans

Summary Former OpenAI researcher Andrej Karpathy envisions a future where large language models (LLMs) become the primary interface for content. In a recent post on X, he suggests that while most content will still be written for humans, 99.9 percent of optimization efforts will focus on making content digestible for LLMs rather than human readers. This shift could fundamentally change how documentation and other content is structured. Karpathy points to current documentation practices as an example: “99% of libraries still have docs that basically render to some pretty .html static pages assuming a human will click through them.” By 2025,