Curated AI Content from Around the Web

Welcome to our first page of curated AI content from around the web. Here, you’ll find a collection of insightful articles and analyses carefully selected to provide you with the latest developments and trends in artificial intelligence. 

Curated AI Content -Black man relaxed reading Newspaper- Image generated by AI for The AI Track

This page features a variety of topics, including CSIRO study that shows more data isn’t always better for A, a study where OpenAI’s GPT-4 chatbot outperformed physicians in clinical reasoning, TCS CEO prediction that AI will handle most call center tasks within a year, librarian Andrew Gray’s study that flags a curious uptick in scientific jargon like “meticulously” & “intricate”, a discussion on AI leapfrogging, an article that explores the use of artificial intelligence (AI) in streamlining clinical trials, the Stanford’s 2024 AI Index that shows AI scoring over 90% in advanced math, etc.

Americans’ use of ChatGPT is ticking up, but few trust its election information

Pew Research Center

26/3/2024

Despite an increase in the use of ChatGPT among Americans, particularly among younger and more educated individuals, there remains significant skepticism regarding the trustworthiness of information provided by the chatbot, especially concerning the 2024 U.S. presidential election. Only a small fraction of Americans trust the election information from ChatGPT, with a considerable portion expressing distrust or uncertainty.

The City

29/3/2024

New York City has an LLM chatbot that can answer questions about local rules and laws. Unfortunately, as others have found out, LLMs are probabilistic, pattern-based systems that make things that look like a good answer – they are not databases, and at a minimum, they need a lot of careful productisation before you can use them for something like this. Hence, the NYC chatbot gives a lot of answers that sound right, but get the law wrong

KU News

4/2/2024

A study in Nature reveals that AI emits significantly less carbon than humans in tasks like writing and illustration. AI’s carbon footprint is 130-1,500 times smaller per text page and 310-2,900 times less per image than human counterparts. The study underscores AI’s efficiency but not as a total human replacement, focusing on collaboration for sustainable production. This research sheds light on AI’s environmental impact and its role in enhancing human work

TechCrunch

2/4/2024

The article from TechCrunch discusses a new vulnerability in large language models (LLMs) identified by Anthropic researchers. They found that LLMs could be manipulated to answer inappropriate or harmful questions through a technique termed “many-shot jailbreaking,” where a series of less harmful questions gradually guides the model towards the undesired answer.

Noema

17/2/2024

AI offers the opportunity to broaden the middle class by extending expertise to a larger set of workers, thereby reshaping the labor market and restoring the middle-skill, middle-class heart of the U.S. labor market that has been hollowed out by automation and globalization, according to MIT Economics Professor David Autor.

Nature

9/4/2024

AI, particularly through computational models, holds significant potential to transform biomedical and drug development research in Africa, provided that adequate infrastructure, trained staff, and secure databases are available.

The Verge

10/4/2024

Texas is implementing an artificial intelligence-powered scoring system to grade open-ended questions on state-mandated exams, aiming to replace a majority of human graders and save millions of dollars annually.

Time

15/4/2024

Jigsaw, a Google subsidiary, has developed AI tools that can score online posts based on their quality, aiming to foster healthier conversations by promoting nuanced, evidence-based, and compassionate content.

The Verge

5/4/2024

Google Books has reportedly begun indexing low-quality books, including those potentially written by AI, which could affect the accuracy of its language research tool, Ngram.

Healthcare in Europe

5/4/2024

Providing ChatGPT with more evidence when asked health-related questions can decrease its reliability significantly, reducing accuracy to as low as 28%.

MedPage Today

1/4/2024

In a cross-sectional study, OpenAI’s GPT-4 outperformed both attending physicians and internal medicine residents in clinical reasoning. Using the R-IDEA scoring system, GPT-4 scored higher, showing promise in assisting clinical decision-making. However, it also revealed limitations, particularly in diagnostic accuracy and critical diagnoses. The study, involving 20 clinical cases, emphasizes AI’s potential and its current constraints in healthcare

The Atlantic

12/4/2024

The dominance of English on the internet, exacerbated by generative AI technologies, poses significant challenges for the preservation and recognition of minority languages and cultures.

Hindustan Times

26/4/2024

A recent warning from TCS suggests AI could revolutionize customer service within a year. Chatbots are poised to handle most call center tasks, significantly reducing the need for human agents.

The Decoder

21/4/2024

A study highlights that Large Language Models (LLMs) significantly improve in performance when provided with hundreds or thousands of examples directly in the prompts, a method known as many-shot in-context learning (ICL). Researchers from Google and DeepMind have shown that this approach can outperform few-shot prompts across various tasks such as translation, summarization, and problem-solving. This advancement could potentially eliminate the need for specific, time-intensive training in future AI applications.

Axios

3/5/2024

China now leads over the U.S. in key AI research areas, producing significant scholarly output that impacts global technology standards. With advancements in computer vision and fundamental research, Chinese institutions are shaping future AI applications crucial for industries like autonomous vehicles and surveillance.

El Pais

25/4/2024

The sudden increase in the use of specific words like “meticulously,” “intricate,” and “commendable” in scientific studies published in 2023 indicates a growing reliance on AI language models like ChatGPT for writing and polishing research papers.

NfX

6/2023

𝗔𝗜 𝗟𝗲𝗮𝗽𝗳𝗿𝗼𝗴𝗴𝗶𝗻𝗴: AI could initially bypass outdated technologies where there’s no satisfactory alternative in place, similar to how African countries were quick to adopt mobile payments, surpassing the U.S. due to the significant improvement mobile offered over existing systems. AI leapfrogging could occur in industries like agriculture, hospitality, education, legal, construction, and manufacturing.

Nature

13/3/2024

The article explores the use of artificial intelligence (AI) in streamlining clinical trials, a process traditionally slow and costly. AI applications range from designing trials and optimizing patient recruitment to managing and analyzing data. Innovations like predictive algorithms, eligibility criteria optimization tools, and data management systems are making trials faster and more efficient. Notable technologies include Trial Pathfinder, which adjusts participation criteria to expand patient eligibility without compromising safety, and digital twins that simulate control patients to reduce trial sizes. The article also addresses potential challenges like bias and transparency in AI tools.

PsyPost

25/3/2024

The PsyPost article investigates a study linking the use of ChatGPT with declining academic performance and memory loss. It discusses the implications of overreliance on AI tools for educational purposes.

Sherwood

17/4/2024

AI technology is increasingly applied in various fields, significantly outperforming humans in tasks like visual recognition and complex math, according to the Stanford University’s 2024 AI Index. While AI’s capabilities have surged, concerns are growing about the future availability of high-quality training data, with predictions of a potential shortage by 2026. This shortage may lead to reliance on synthetic data for training AI models. Companies like Adobe are innovating by compensating individuals for contributing data, further fueling AI development.

⬇ Curated AI Content ⬇

The most important AI News, Trends and Predictions curated by The AI Track team, offering you a comprehensive view of the artificial intelligence landscape.

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