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Forgotten, priceless medieval book found in school library

Popular Science

The hermit and mystic Richard Rolles was basically a bestselling author in the Middle Ages. Richard Rolle (depicted in this medieval illustration c. 1400) was a famous hermit and Christian mystic. Breakthroughs, discoveries, and DIY tips sent six days a week. For generations, a misidentified medieval manuscript was hidden in a 474-year-old English boarding school's library. After a careful new analysis, a medieval literature researcher can confirm the manuscript is actually the oldest and only known edition of Richard Rolle's () written in its original Latin.


Slack's CEO is joining OpenAI to find the money to pay for all those data centers

Engadget

GPU prices could follow RAM's big rise Slack's CEO is joining OpenAI to find the money to pay for all those data centers Slack CEO Denise Dresser is OpenAI's new Chief Revenue Officer. OpenAI has announced that Denise Dresser, the current CEO of Slack, will be the company's new Chief Revenue Officer. Dresser will oversee the company's revenue strategy across enterprise and customer success, according to OpenAI's announcement, and will presumably play a key role in leading the company towards profitability now that it's reorganized as a public benefit corporation . We're on a path to put AI tools into the hands of millions of workers, across every industry, Fidji Simo, OpenAI's CEO of Products said in the announcement. Denise has led that kind of shift before, and her experience will help us make AI useful, reliable, and accessible for businesses everywhere.


UK lacks plan to defend itself from invasion, MPs warn

BBC News

The UK lacks a plan to defend itself from military attack, a committee of MPs has warned. In a highly critical report, the defence committee says the UK is over-reliant on US resources and that preparations to defend itself and overseas territories in the event of attack are nowhere near where they need to be. The committee's chair, Labour MP Tan Dhesi, said: Putin's brutal invasion of Ukraine, unrelenting disinformation campaigns, and repeated incursions into European airspace mean that we cannot afford to bury our heads in the sand. It comes as the Ministry of Defence (MoD) identified parts of the country where six or more new munitions factories could be built. In June, Defence Secretary John Healey announced plans to move the UK to war-fighting readiness, including £1.5bn to support the construction of new munitions factories, which will be built by private contractors.


Now THAT'S what you call a cold one! Rare bottle of Arctic beer will be opened after 150 years to revive the ancient brew

Daily Mail - Science & tech

Devastating impact of Mamdani's election will be FAR WORSE than first thought: Exclusive poll finds America's greatest city facing'historic' population wipeout Trump reveals devastating plan for NYC if'communist' Mamdani gets elected while rejecting comparisons: 'I'm a much better looking person' I won't ever forget what I saw at Andy Cohen's party. He may admit he's hooking up with guys on every dating app but this is the truth about men like him: KENNEDY So many single men are taking this new drug cocktail before dates. The results in the bedroom are startling... as I discovered during one marathon session: JANA HOCKING Putin unveils terrifying new nuclear submarine built to carry'doomsday' weapon capable of unleashing radioactive tidal wave'Trump has lost it with Steve Bannon': Insiders claim third term'plan' has sparked furious MAGA rift... and name group of'irritants' wreaking havoc How Jennifer Aniston found her happy ever after with Hollywood hypnotist and'love guru' Jim Curtis after string of failed romances, 'love triangle' scandal and IVF struggles Meghan Markle'wants to become a billionaire', says royal expert, after Duchess was seen cosying up to brains behind Kardashian brands amid speculation she'could launch a beauty empire' William and Kate throw party for builders and staff who helped them leave'cursed' cottage early Deborra-Lee Furness' bold move after split from Hugh Jackman - and why the actor is not happy about it Trump responds after Dilbert creator makes last-ditch plea to save his life as he'declines rapidly' from cancer Kimberly Guilfoyle's steamy Greek debut sparks envious whispers of a'storm' coming for Trump We've never been so sure of an imminent financial crash: Industry leaders across ALL sectors come together to say these signs of US economic meltdown are undeniable Now THAT'S what you call a cold one! A rare bottle of Arctic beer will be opened to revive the ancient ale, 150 years after it was bottled. Douglas Gunn Sharp, founder of Edinburgh's Innis & Gunn brewery, will open his precious bottle of Allsopp's Arctic Ale - after splashing out £3,000 for it.


AgentAda: Skill-Adaptive Data Analytics for Tailored Insight Discovery

Abaskohi, Amirhossein, Ramesh, Amrutha Varshini, Nanisetty, Shailesh, Goel, Chirag, Vazquez, David, Pal, Christopher, Gella, Spandana, Carenini, Giuseppe, Laradji, Issam H.

arXiv.org Artificial Intelligence

We introduce AgentAda, the first LLM-powered analytics agent that can learn and use new analytics skills to extract more specialized insights. Unlike existing methods that require users to manually decide which data analytics method to apply, AgentAda automatically identifies the skill needed from a library of analytical skills to perform the analysis. This also allows AgentAda to use skills that existing LLMs cannot perform out of the box. The library covers a range of methods, including clustering, predictive modeling, and NLP techniques like BERT, which allow AgentAda to handle complex analytics tasks based on what the user needs. AgentAda's dataset-to-insight extraction strategy consists of three key steps: (I) a question generator to generate queries relevant to the user's goal and persona, (II) a hybrid Retrieval-Augmented Generation (RAG)-based skill matcher to choose the best data analytics skill from the skill library, and (III) a code generator that produces executable code based on the retrieved skill's documentation to extract key patterns. We also introduce KaggleBench, a benchmark of curated notebooks across diverse domains, to evaluate AgentAda's performance. We conducted a human evaluation demonstrating that AgentAda provides more insightful analytics than existing tools, with 48.78% of evaluators preferring its analyses, compared to 27.67% for the unskilled agent. We also propose a novel LLM-as-a-judge approach that we show is aligned with human evaluation as a way to automate insight quality evaluation at larger scale.




LLM-Based Data Science Agents: A Survey of Capabilities, Challenges, and Future Directions

Rahman, Mizanur, Bhuiyan, Amran, Islam, Mohammed Saidul, Laskar, Md Tahmid Rahman, Mahbub, Ridwan, Masry, Ahmed, Joty, Shafiq, Hoque, Enamul

arXiv.org Artificial Intelligence

Recent advances in large language models (LLMs) have enabled a new class of AI agents that automate multiple stages of the data science workflow by integrating planning, tool use, and multimodal reasoning across text, code, tables, and visuals. This survey presents the first comprehensive, lifecycle-aligned taxonomy of data science agents, systematically analyzing and mapping forty-five systems onto the six stages of the end-to-end data science process: business understanding and data acquisition, exploratory analysis and visualization, feature engineering, model building and selection, interpretation and explanation, and deployment and monitoring. In addition to lifecycle coverage, we annotate each agent along five cross-cutting design dimensions: reasoning and planning style, modality integration, tool orchestration depth, learning and alignment methods, and trust, safety, and governance mechanisms. Beyond classification, we provide a critical synthesis of agent capabilities, highlight strengths and limitations at each stage, and review emerging benchmarks and evaluation practices. Our analysis identifies three key trends: most systems emphasize exploratory analysis, visualization, and modeling while neglecting business understanding, deployment, and monitoring; multimodal reasoning and tool orchestration remain unresolved challenges; and over 90% lack explicit trust and safety mechanisms. We conclude by outlining open challenges in alignment stability, explainability, governance, and robust evaluation frameworks, and propose future research directions to guide the development of robust, trustworthy, low-latency, transparent, and broadly accessible data science agents.