Articles Posted in Artificial Intelligence

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Inspired by Axios’s “Behind the Curtain: A White-Collar Bloodbath” (May 28, 2025)

Dario Amodei, cofounder and CEO of Anthropic, is issuing an urgent warning: advanced artificial intelligence may soon pose a serious threat to millions of white-collar jobs. While today’s AI systems, like Anthropic’s own Claude and OpenAI’s ChatGPT, are currently seen as productivity boosters, Amodei cautions that this could quickly change as models become dramatically more powerful.

In internal presentations recently shared with government officials, Amodei projected that future AI models, potentially arriving in the early 2030s, could be capable of performing 80 to 90% of tasks typically handled by college educated professionals. These include jobs in legal research, finance, marketing, and customer service. For example, AI tools are already being deployed to automate paralegal tasks and financial analysis; and some early adopter companies are replacing portions of their human customer support teams with large language model (LLM) chatbots.

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From article by Chris Smith, published in BGR on May 22, 2025.

In this post, we are sharing insights from the Chris Smith article referenced below, as it highlights what is widely recognized as the next critical trend in real world AI applications, including AI wearables.

ABSTRACT:

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These News Briefs and Decision Summaries are from  the  the New Jersey State Bar Association. They are an exclusive benefit of the Association in partnership with the New Jersey Law Journal. A subscription may be necessary to access the full text of some of the items listed:

NEWS BRIEFS:

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Artificial Intelligence: Legal Issues, Policy, and Practical Strategies, Edited by Cynthia H Cwik, Christopher A Suarez, and Lucy L Thomson.

A publication by the American Bar Association.

“This book covers a wide range of important topics concerning AI and the law, and provides practical advice to attorneys on how to navigate these complex and rapidly evolving issues.”
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These News Briefs and Decision Summaries are from  the  the New Jersey State Bar Association. They are an exclusive benefit of the Association in partnership with the New Jersey Law Journal. A subscription may be necessary to access the full text of some of the items listed

NEWS BRIEFS:

Unprecedented Mobilization:’ Tidal Wave of Threats Gives Legal Departments Their Biggest Test Since COVID

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In his essay, Do State Legislatures Have to Obey U.S. Supreme Court Decisions?  Amherst professor Austin Sarat discusses how several state legislatures, particularly Alabama, are passing laws allowing the death penalty for child rape despite a 2008 Supreme Court ruling, Kennedy v. Louisiana, that declared such punishment unconstitutional. Professor Sarat argues that this strategic legislative defiance represents a dangerous trend that threatens constitutional order, as lawmakers are deliberately passing unconstitutional laws hoping the current conservative-majority Supreme Court will overturn precedent, similar to the strategy that led to Roe v. Wade being overturned.

Reflecting on the urgency expressed by professor Sarat regarding this question, we have prepared our own report, titled Do State Legislatures Have to Obey U.S. Supreme Court Decisions?, An Overview, to provide an added frame of reference for considering the implications of professor Sarat’s posting. Our Report, which follows, is based on our search of related sources, including Deep Research, the advanced AI research application recently introduced by Open AI.

DO STATE LEGISLATURES HAVE TO OBEY U.S. SUPREME COURT DECISIONS?, An Oveerview

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Introduction:

Law libraries are undergoing a transformation fueled by artificial intelligence (AI). While AI isn’t replacing law librarians, it has become a powerful tool that is changing how legal research is conducted and how libraries serve their patrons​

Modern law librarians leverage AI in various domains – from advanced legal research platforms to automated document handling and chat-based reference assistance – all with the goal of improving efficiency and service quality. By offloading routine or labor-intensive tasks to AI, librarians can focus on higher-level work such as complex research consultations, teaching, and strategic planning​. The following overview highlights key AI applications in legal research tools, document automation, and chatbots, explaining how each contributes to enhanced library services.

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Introduction

Materials consulted in preparing this posting were curated from various sources including the recently introduced Deep Research by OpenAI.

With Elon Musk at the helm of the Department of Government Efficiency,   various agencies within the U.S. government may experience restructuring aimed at streamlining operations, reducing costs, and integrating advanced technologies. One area likely to be affected is government agency libraries—institutions that provide critical research, archival, and information services to federal employees, policymakers, and researchers. These libraries, usually housed within agencies such as the Library of Congress, the National Archives, and the Department of Defense (DoD), play an essential role in supporting government functions. This essay explores how Musk’s efficiency-driven policies might reshape these libraries, with potential consequences for automation, digitization, data management, funding, privacy and information security. Although the focus of this posting is U.S. government libraries, its implications are far reaching.

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This compilation is part of an experiment, marking the initial use of Microsoft Copilot as a question-and-answer application.

My QUESTION:

“Can you give me a list of the most popular programming languages for beginners, including those with features incorporating artificial intelligence(AI).”

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Theo AI, a cutting-edge generative AI (genAI) startup based in the United States, has positioned itself as the first predictive AI platform designed specifically for litigation. Backed by an impressive $2.2 million in pre-seed funding, the company aims to achieve what no other legal tech firm has successfully accomplished: accurately predicting the outcomes of legal disputes well before their resolution.

The concept of AI-driven litigation prediction is not entirely new—Artificial Lawyer has been reporting on similar applications since 2016. However, Theo AI’s innovative use of genAI technology marks a significant departure from earlier approaches, potentially setting a new benchmark in the field of legal technology.

From Artificial  Lawyer  November 2024:

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