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1 Details for Dataset Partitioning Here we provide the dataset partitioning results for ImageNet [

Neural Information Processing Systems

Novel categories names:['High_Jump', 'Front_Crawl', 'Pole_V ault', 'Hammer_Throw', All experiments are conducted under the 16-shot setting. An incremental bayesian approach tested on 101 object categories. Conditional prompt learning for vision-language models.


Creating Multi-Level Skill Hierarchies in Reinforcement Learning S

Neural Information Processing Systems

They had four primitive actions: north, south, east, and west. Multi-Floor Office is an extension of Office to multiple floors. Pick-up and put-down have the intended effect when appropriate; otherwise they do not change the state. T owers of Hanoi contains four discs of different sizes, placed on three poles. Options generated using alternative methods called primitive actions directly.


Hasan Piker Will Never Run for Office

WIRED

The Twitch streamer could pivot from influencer to candidate. But he tells WIRED's podcast he'd rather use his platform to tell Dems "you can't podcast your way out of this problem." Hasan Piker is many things to many people. They don't all feel the same way about Piker or his politics, but most presumably agree on one thing: He is a relentless human being. Most days a week, you can find the 34-year-old Twitch streamer talking to his audience, often for six to nine hours at a stretch. And during President Trump's second term, there's plenty of that to go around. He has nearly 3 million followers on Twitch and has hosted conversations with Senator Bernie Sanders and US representative Alexandria Ocasio-Cortez. He claims his election night stream in 2024 reached a staggering 7.5 million viewers. On this episode of, I talked to Piker about his looks, his love of Italian sandwiches, and any future political aspirations he might (or might not) want to tease. It's great to be here. I heard you were just at the gym. Yeah, I was at the park. Some days I take my dog and I play a little bit of basketball and get to hang out with some people.


Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset Peter Henderson

Neural Information Processing Systems

Emerging ethical approaches have attempted to filter pretraining material, but such approaches have been ad hoc and failed to take context into account. We offer an approach to filtering grounded in law, which has directly addressed the tradeoffs in filtering material.


Using tech and AI could make government more efficient, says Starmer

BBC News

The PM was asked by the BBC if he would consider changing the government's fiscal rules and responded: "No, because we had to stabilise the economy, which is what we did with the Budget." He added: "The difference is that the global situation has changed - I think most people would understand that in the last few weeks and months the international insecurity has got very real - that does impact domestically." The chancellor's rules, which she has argued will bring stability to the UK economy, are that day-to-day government costs will be paid for by tax income, rather than borrowing; and to get debt falling as a share of national income by the end of this parliament in 2029/30. Sir Keir said the government was "looking across the board" at spending, when asked by BBC 5 Live whether cuts would be announced for departments whose spending is not protected, such as the Ministry of Justice. "At the budget last year we made some record investments, and we're not going to undo that," he added, pointing to increased NHS spending.


Generative Artificial Intelligence for Academic Research: Evidence from Guidance Issued for Researchers by Higher Education Institutions in the United States

Ganguly, Amrita, Johri, Aditya, Ali, Areej, McDonald, Nora

arXiv.org Artificial Intelligence

To address these concerns, many Higher Education Institutions ( HEI s) have released institutional gui dance for researchers . To better understand the guidance that is being provided we report findings from a thematic analysis of guidelines from thirty HEIs in the United States that are classified as R1 or "very high research activity. " We found that guidance provided to researchers: 1) asks them to refer to external sources of information such as funding agencies and publishers to keep updated and use institutional resources for training and education; 2) asks them to understand and learn about specific GenAI attributes that shape research such as predictive modeling, knowledge cutoff date, data provenance, and model limitations, and about ethical concerns such as authorship, attribution, privacy, and intellectual property issues; 3) incl udes instructions on how to acknowledge sources and disclose the use of GenAI, and how to communicate effectively about their GenAI use, and alerts researchers to long term implications such as over reliance on GenAI, legal consequences, and risks to their institutions from GenAI use. Overall, g uidance places the onus of compliance on individual researchers making them accountable for any lapses, thereby increasing their responsibility. Keywords: Generative Artificial Intelligence; Academic Research, Thematic Analysis, Policy and Guidance, Qualitative Data Analysis, Framework 1 Introduction As the use of generative artificial intelligence (GenAI) increases across all facets of society, one area of significant impact is higher education institutions (HEIs). Although the initial scholarship on the use of GenAI within HEIs has focused on teaching and learning (McDonald et al., 202 5; Ali et al., 2025) increasingly, studies are starting to examine how academic research is being impacted by GenAI ( Abernethy, 2024; Lehr, et al., 2024; Lin, 2024; Liu and Jagadish, 2024; Godwin et al., 2024) This shift is in keeping with increased uptake of the use of GenAI for research. GenAI has many potential benefits for researchers across different stages of the research process such as data analysis, creation of content for research dissemination, and as a tool to brainstorm new ideas (Joosten et al., 2024) For instance, Delios et al. (2024) report that almost 30% of scientists are using GenAI as partners in their tasks related to research such as summarizing l iterature review, data analysis, grant writing and assisting with other aspects of manuscript preparation (Morocco - Clarke et al., 2024; Xames and Shefa, 2023). In a 2023 Nature survey of 1600 scientists, 30% acknowledged that they used GenAI to write acade mic papers, conduct literature reviews, and/or develop grant applications (Chawla, 2024).


Microsoft、主要なAI倫理チームを解雇

#artificialintelligence

Platformerの報道によると、Microsoftは、1月に発表した1万人の従業員解雇計画の一環として、人工知能(AI)部門内の倫理・社会チーム全員を解雇したとのことだ。


Indiana man allegedly kills, dismembers father after believing him to be robot: 'Had to shoot at it'

FOX News

Fox News contributor Leo Terrell joined'America's Newsroom' to discuss why crime is surging nationwide and how'parental involvement' can reverse the dangerous trend. An Indiana man was slapped with 10 charges after he allegedly fatally shot his father and dismembered his corpse after believing him to be a robot. Shawn Hays, 53, of Lawrence County, Indiana, was arrested Dec. 20 after deputies responded to a welfare check call on his 73-year-old father Rodney Hays, according to a probable cause affidavit cited by local Fox affiliate WXIN. The person who called the police informed them that Hays told them that he had shot and mutilated his father because he had been turned into a robot. Shawn Hays, 53, was slapped with 10 charges after he allegedly fatally shot his father and dismembered his corpse after believing him to be a robot.


Who Ultimately Owns Content Generated By ChatGPT And Other AI Platforms?

#artificialintelligence

Before we all get too deep into using ChatGPT or other AI tools to create things for us, we need to address some of the questions raised around content custody, ownership, and attribution. Some have breathlessly proclaimed ChatGPT to be the most important development since the invention of the printing press or the splitting of the atom. But there are issues with the accuracy, truthfulness, and inherent bias of the materials that AI platforms such as ChatGPT generate. In another matter, since there is speculation that ChatGPT or other AI platforms could take over at least some of the work of writers, analysts, and other content creators, we need to also understand its legal ramifications. And the rules around using ChatGPT to generate term papers seem pretty clear (don't even think about it). But when it comes to applying AI-generated prose in content intended for wider distribution -- say marketing materials, white papers, or even articles -- the legalities get a little murky.