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Last week, around 100 authors protested outside Meta's London headquarters, accusing the American tech giant of using their works without permission to train its AI models. Protesters chanted "Meta, Meta, book thieves," with some holding signs such as "I wanted to write a slogan, but you'll steal it" and "Give us back our books, Zuck," a clear jab at Meta CEO Mark Zuckerberg. Earlier reports suggested Zuckerberg approved the company's use of a dataset called

Amidst the growing prevalence of artificial intelligence, the collaboration between DeepSeek and Tsinghua University has garnered significant industry attention. DeepSeek, a Chinese startup, is renowned for its breakthroughs in low-cost inference models. This collaboration aims to further reduce the training costs of AI models, thereby enhancing operational efficiency. DeepSeek recently launched a new low-cost inference model that has generated considerable market excitement. To further optimize this model, DeepSeek's research team...

Amidst the rapid advancement of Artificial Intelligence (AI), Microsoft is actively promoting AI literacy with its 50-day AI Skills Festival. This event is open to everyone, from beginners to professionals, offering free registration and access to a wealth of AI learning resources. The initiative aims not only to enhance public AI capabilities but also to break a Guinness World Record, making it a fun and practical event. AI is transforming the way various industries operate, particularly in daily office work. Microsoft hopes to...

Microsoft recently unveiled a remarkable research project – WHAMM (World and Human Action MaskGIT Model). This innovative AI model can generate and run the classic game Quake II entirely within the AI model, producing a playable version in real-time. This research, part of Microsoft's Copilot Labs, explores the potential and boundaries of generative AI in interactive media. A revolutionary breakthrough.

A recent joint study by Google, Carnegie Mellon University, and MultiOn explores the application of synthetic data in training large language models. According to Epoch AI, a research institution focused on AI development, currently available high-quality text training data totals around 300 trillion tokens. However, with the rapid advancement of large models like ChatGPT, the demand for training data is growing exponentially, projected to exhaust existing resources by 2026. Therefore, synthetic data is becoming increasingly crucial.

Microsoft's Chief Technology Officer, Kevin Scott, highlighted the importance of product managers in training AI agents. According to him, product managers are not only central to product design and development, but also play a crucial role in creating 'feedback loops'. These feedback loops help AI agents continuously learn and improve their ability to perform tasks, better meeting user needs. Kevin Scott points out that the effectiveness of AI systems is heavily reliant on human feedback. Product managers are integral to this process.

A group of prominent authors, including Richard Osman, Kazuo Ishiguro, Kate Mosse, and Val McDermid, have signed an open letter calling on the UK government to hold Meta accountable for using copyrighted books in its AI training. The letter requests that the Secretary of State for Culture, Media and Sport, Lisa Nandy, summon Meta representatives to discuss the matter.

Bloomberg, citing sources, reports that Ant Group has made a significant breakthrough in AI, reducing AI model training costs by 20% using chips from Alibaba and Huawei. This injects new momentum into China's drive for technological self-reliance. The report further indicates that Ant Group's internal tests show these Chinese-made AI chips rival Nvidia's offerings in performance. Widespread validation and adoption of this could significantly alter the global AI landscape.

Researchers at the University of California, Berkeley have recently released their latest research achievement – the TULIP (Towards Unified Language-Image Pretraining) model. This model aims to enhance the performance of vision-language pre-training, particularly in visually-centric tasks requiring high-fidelity understanding, overcoming the limitations of existing contrastive learning models (such as CLIP). TULIP integrates innovative techniques such as generative data augmentation, enhanced contrastive learning, and reconstruction regularization.

Ant Group's Ling team recently published a preprint on arXiv titled "Every FLOP Matters: Scaling a 300-billion parameter Mixture-of-Experts LING model without high-end GPUs," detailing two novel large language models: Ling-Lite and Ling-Plus. These models incorporate several innovations enabling efficient training on low-performance hardware, significantly reducing training costs.

Alibaba Cloud has partnered with ten universities and government agencies, including the National University of Singapore and Thailand's Digital Economy Promotion Agency, to launch AI and cloud computing training programs. This collaboration spans seven major Asian countries and regions, including Thailand, Singapore, and Hong Kong, aiming to cultivate digital talent. Alibaba Cloud will jointly establish a Skills Center in Singapore with the National University of Singapore's Research & Analytics Institute and Macroview International Management Institute. This center will provide cutting-edge training in big data and AI for students and working professionals.

Hangzhou-based tech company, Qunhe Technology, has again garnered industry attention for its open-sourced spatial understanding model, SpatialLM, which was acknowledged by Google in a recent research paper. This model's innovation lies in its ability to enable robots to understand the geometrical relationships of the physical world through ordinary videos, marking a significant breakthrough in robot training. SpatialLM's core function is to convert videos captured by a phone into three-dimensional spatial layout information. Users simply need to record their home layout using their phone, and SpatialLM will...

Nvidia, the leading AI chipmaker, has reportedly acquired San Diego-based startup Gretel, a company specializing in a platform for generating synthetic AI training data. Wired reports the acquisition was a nine-figure deal, exceeding Gretel's recent $320 million valuation, though specific terms remain undisclosed. Founded in 2019 by Alex Watson and Laszl...

HPC-AI Tech recently announced Open-Sora 2.0, a groundbreaking video AI system achieving commercial-grade quality at approximately one-tenth the typical training cost. This represents a potential paradigm shift in the resource-intensive field of video AI, mirroring efficiency gains seen in language models. While existing high-quality video generation systems like Movie Gen and Step-Video-T2V can cost millions of dollars to train, Open-Sora 2.0 offers a significantly more affordable alternative.

The AI world is abuzz! William Fedus, OpenAI's former VP of Training, has unexpectedly announced his departure, sending shockwaves through the tech community. This key figure, once at the forefront of the AI wave, isn't retiring or taking a break; instead, he's ambitiously launching a new venture focused on AI-driven materials science. Materials science? It seems a departure from the familiar world of chatbots and image generation models. Indeed, Fedus...