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Category Archives: Knowledge Management

From Burnout to Balance: AI-Enhanced Work Models

Pluralistic: “A new research report from the Upwork Research Institute offers a look into the bizarre situation unfolding in workplaces where bosses have been conned into buying AI and now face the challenge of getting it to work as advertised:”

  • Research by The Upwork Research Institute reveals that 71% of full-time employees are burned out and 65% report struggling with employer demands on their productivity. Meanwhile, 81% of global C-suite leaders acknowledge they have increased demands on workers in the past year.
  • Leaders have high hopes that generative AI will help boost productivity, as 96% of C-suite leaders say they expect the use of AI tools to increase their company’s overall productivity levels. Already, 39% of companies in our study are mandating the use of AI tools, with an additional 46% encouraging their use.
  • However, this new technology has not yet fully delivered on this productivity promise: Nearly half (47%) of employees using AI say they have no idea how to achieve the productivity gains their employers expect, and 77% say these tools have actually decreased their productivity and added to their workload.
  • By introducing new technology into outdated models and systems, organizations are failing to unlock the full productivity value of generative AI across their workforce. Business leaders need to shift how they organize talent and work by balancing traditional and nontraditional approaches. This includes leveraging alternative talent pools, co-creating measures of productivity with their people, and becoming fluent in the language of skills rather than job descriptions.”

When scientific citations go rogue: Uncovering ‘sneaked references’

Via LLRX – When scientific citations go rogue: Uncovering ‘sneaked references’ – Reading and writing articles published in academic journals and presented at conferences is a central part of being a researcher. When researchers write a scholarly article, they must cite the work of peers to provide context, detail sources of inspiration and explain differences in… Continue Reading

Microsoft researchers are teaching AI to read spreadsheets

Spreadsheet LLM – Encoding Spreadsheets for Large Language Models: “Spreadsheets are characterized by their extensive two-dimensional grids, flexible layouts, and varied formatting options, which pose significant challenges for large language models (LLMs). In response, we introduce SpreadsheetLLM, pioneering an efficient encoding method designed to unleash and optimize LLMs’ powerful understanding and reasoning capability on spreadsheets.… Continue Reading

News homepages, archived

Data is Plural: “Since launching in March 2022, homepages.news has archived millions of screenshots, performance audits, robots.txt files, accessibility trees, and hyperlink lists from the homepages of 1,100+ news sites. The open-source project, run by journalist Ben Welsh, provides bulk data for each of those assets. The screenshots themselves are stored on the Internet Archive;… Continue Reading

Woefully Insufficient Publisher Policies on Author AI Use Put Research Integrity at Risk

The Scholarly Kitchen: “There is broad consensus in scholarly publishing that AI tools will make the task of ensuring the integrity of the scientific record a Herculean task. However, it seems that many publishers are still struggling to figure out how to address the new issues and challenges that these AI tools present. Current publisher… Continue Reading

webXray

Wired [unpaywalled]- This Machine Exposes Privacy Violations. A former Google engineer has built a search engine, WebXray, that aims to find illicit online data collection and tracking—with the goal of becoming “the Henry Ford of tech lawsuits.”…It’s a search engine for rooting out specific privacy violations anywhere on the web. By searching for a specific… Continue Reading

How good is your metadata?

Via Mastodon – Ludo Waltman@[email protected] Scientific Director and Professor of Quantitative Science Studies @cwts, @universiteitleiden; Open Science Ambassador @universiteitleiden; Co-chair @RoRInstitute; President @ASAPbio; Editor-in-Chief MetaROR (MetaResearch Open Review); Former Editor-in-Chief @QSS_ISSI University libraries now have easy access to the information they need to include openness of publication metadata in their negotiations with publishers. Try it… Continue Reading

Introducing Llama 3.1: Our most capable models to date

Meta: “Llama 3.1 405B is the first openly available model that rivals the top AI models when it comes to state-of-the-art capabilities in general knowledge, steerability, math, tool use, and multilingual translation. With the release of the 405B model, we’re poised to supercharge innovation—with unprecedented opportunities for growth and exploration. We believe the latest generation… Continue Reading

Meta releases its biggest ‘open’ AI model yet

TechCrunch: “Meta’s latest open source AI model is its biggest yet. Today, Meta said it is releasing Llama 3.1 405B, a model containing 405 billion parameters. Parameters roughly correspond to a model’s problem-solving skills, and models with more parameters generally perform better than those with fewer parameters. At 405 billion parameters, Llama 3.1 405B isn’t… Continue Reading