Author: Advanced AI Editor

Artificial intelligence is rapidly reshaping the landscape of customer service, offering businesses new ways to engage with consumers and streamline operations. From chatbots to predictive analytics, AI-driven solutions are now at the forefront of digital transformation, enabling organisations to deliver faster, more personalised support. As industries adapt, the implications for business models and consumer expectations are profound and far-reaching.The Expanding Role of AI in Customer EngagementThe integration of AI into customer service has moved well beyond simple automation. Today, intelligent systems can interpret natural language, understand context, and even anticipate customer needs before they arise. This shift allows companies to…

We are in an era of booming large models, with various industries eager to leverage their powerful capabilities. However, how to free these models from the constraints of ‘static’ learning and achieve lifelong learninghas become a necessary path toward achieving true AGI. Recently, researchers from the Massachusetts Institute of Technology (MIT) Improbable AILab published a research paper on arXivfocusing on the issue of catastrophic forgettingin post-training of large models, proposing a thought-provoking viewpoint: the Occam’s razor principlemay be key to solving this problem. SFT vs. RL: Who is Better at Knowledge Retention? The core of the research lies in comparing…

On the night of September 9, Tencent released and open-sourced the latest image model “Hunyuan Image 2.1”. This model boasts industry-leading capabilities and supports native 2K high-definition images.After being open-sourced, the Hunyuan Image 2.1 model quickly climbed the Hugging Face model popularity chart, becoming the third most popular model globally. Among the top eight models on the list, Tencent’s Hunyuan model family occupies three positions.At the same time, the Tencent Hunyuan team revealed that they will soon release a native multimodal image generation model.Hunyuan Image 2.1 is a comprehensive upgrade from the 2.0 architecture, placing greater emphasis on balancing generation…

Shutterstock Inc. SSTK, a well-known platform for images and videos, has entered into a partnership with Reka AI, a startup specializing in large language models. The financial terms were not disclosed.As part of this partnership, Reka will license Shutterstock’s extensive library of digital visual assets to assist in developing frontier-class multimodal language AI models.In addition to continued investment in human-created metadata, Shutterstock expects to leverage Reka’s multimodal models to augment details and improve the metadata attached to its library of digital assets.The licensing business with AI firms generated $104 million in revenue last year, CEO Paul J. Hennessy said in…

Deep research systems, agentic AI that solve complex, multi-step tasks by coordinating reasoning, search across the open web and user files, and tool use, are moving toward hierarchical deployments with a Planner, Coordinator, and Executors. In practice, training entire stacks end-to-end remains impractical, so most work trains a single planner connected to core tools such as search, browsing, and code. While SFT imparts protocol fidelity, it suffers from imitation and exposure biases and underuses environment feedback. Preference alignment methods such as DPO are schema and proxy-dependent, off-policy, and weak for long-horizon credit assignment and multi-objective trade-offs. A further limitation of…

AI disruption has sent shockwaves through the software sector this year. On Tuesday, a top OpenAI executive hammered home the potential threat to this lucrative industry.During a talk at a Goldman Sachs tech conference in San Francisco, OpenAI CFO Sarah Friar was asked about recent comments her boss made about the SaaS business.OpenAI CEO Sam Altman recently tweeted, “entering the fast fashion era of SaaS very soon.”Friar explained that the fast fashion phenomenon radically changed the apparel retail industry, and now the software-as-a-service business may be about to experience a similar disruption.”The whole value chain is getting disrupted. The people…

Mercor, a startup that connects companies like OpenAI and Meta with domain experts needed to train and refine their foundational AI models, is in discussions with investors for a Series C round, according to a marketing document viewed by TechCrunch and two sources familiar with the deal talks. Felicis, a returning investor, is considering doubling down on the company for the Series C, according to two sources. Felicis declined to comment.  The company is currently targeting a valuation of $10 billion or more, one person said. That’s up from an $8 billion target valuation that the company discussed a couple…

ALGORITHMThis week, we have a conversation about two separate instances of the mess that AI chatbots tend to be beyond their shiny interface (and loud promises), as well as Apple’s vision language models meant for real-world visual understanding. MetaAI Chatbots Chatbots, vulnerable, not surprisingIf the news of AI faltering surprises you, that itself would be a revelation. Researchers from the University of Pennsylvania reveal in a new study that chatbots, including GPT-4o, can be tricked into breaking their own safety rules using classic persuasion tactics to complete requests that the guidelines would otherwise not allow. The trick? Researchers used tactics…

Paris-based Mistral AI has achieved Europe’s largest fundraising round in artificial intelligence to date, securing €1.7 billion and bringing Dutch semiconductor giant ASML on board as a strategic partner in a deal seen as bolstering Europe’s drive for technological sovereignty.France’s homegrown artificial intelligence champion Mistral has cemented its place among Europe’s tech leaders, announcing on Tuesday that it has raised €1.7 billion in fresh capital – a record for a French start-up.The fundraising drive has brought the value of the company to €11.7 billion, almost double its worth just over a year ago.The deal also brings in a heavyweight new…

Text-to-image (T2I) generation aims to synthesize images from textual prompts, which jointly specify what must be shown and imply what can be inferred, thereby corresponding to two core capabilities: composition and reasoning. However, with the emerging advances of T2I models in reasoning beyond composition, existing benchmarks reveal clear limitations in providing comprehensive evaluations across and within these capabilities. Meanwhile, these advances also enable models to handle more complex prompts, whereas current benchmarks remain limited to low scene density and simplified one-to-one reasoning. To address these limitations, we propose T2I-CoReBench, a comprehensive and complex benchmark that evaluates both composition and reasoning…