Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog – Page 864

While generative AI tools have been heralded as the future of education, more than 40 years of academic research suggests that it could also harm learning in realms from online tutoring to employee training for three reasons. First, the best student-teacher relationships are empathetic ones but it is biologically impossible for humans and AI to develop mutual empathy. Second, AI might help us bypass the boring task of knowledge accumulation but it is only through that process that we develop higher order thinking skills. Finally, digital tools are notoriously distracting and multitasking diminishes learning. As we think about the benefits of new technology, we must also consider the risks.

Page-utils class= article-utils—vertical hide-for-print data-js-target= page-utils data-id= tag: blogs.harvardbusiness.org, 2007/03/31:999.387329 data-title= The Limits of GenAI Educators data-url=/2024/07/the-limits-of-genai-educators data-topic= AI and machine learning data-authors= Jared Cooney Horvath data-content-type= Digital Article data-content-image=/resources/images/article_assets/2024/07/Jul24_17_545985287-383x215.jpg data-summary=

Three fundamental problems with using LLMs as teachers, tutors, and trainers.

Read more | >

👉 Researchers have developed an AI system called “The AI Scientist” that can perform scientific research on its own, from brainstorming and experimenting to writing full papers.

A new AI system called “The AI Scientist” can perform scientific research completely autonomously, from brainstorming and experimenting to writing complete papers.

Ad.

Researchers from the University of British Columbia, University of Oxford, and AI startup Sakana AI have developed an AI system capable of conducting scientific research independently. Named “The AI Scientist,” the system can generate new research ideas, write code, perform experiments, visualize results, and even compose complete scientific papers.

Continue reading “Automated research: The AI Scientist generates papers for 15 dollars each” | >

Almost 2.7 billion records of personal information for people in the United States were leaked on a hacking forum, exposing names, social security numbers, all known physical addresses, and possible aliases.

The data allegedly comes from National Public Data, a company that collects and sells access to personal data for use in background checks, to obtain criminal records, and for private investigators.

National Public Data is believed to scrape this information from public sources to compile individual user profiles for people in the US and other countries.

Read more | >

The striking object appeared as bright as Saturn in the vicinity of the constellation Cassiopeia, and historical chronicles from China and Japan recorded it as a “guest star.”

Chinese astronomers used this term to signify a temporary object in the sky, often a comet or, as in this case, a supernova — a cataclysmic explosion of a star at the end of its life.

The object, now known as SN 1,181, is one of a handful of supernovas documented before the invention of telescopes, and it has puzzled astronomers for centuries.

Read more | >

Intuitive Machines reported revenue of $41.4 million in the second quarter, more than double the $18 million the company reported in the same quarter of 2023. It had an operating loss of $28.2 million in the quarter, also more than double the $13.2 million operating loss it reported in the same quarter a year ago.

The company attributed the increase in revenue to new work, such as a NASA engineering services contract that started late last year as well as initial work on a Lunar Terrain Vehicle Services contract the company received in April.

The increased losses came from what Steve Vontur, chief financial officer, described as “non-cash impacts” to modifications to its next two lunar lander missions, IM-2 and IM-3, both flying payloads for NASA’s Commercial Lunar Payload Services (CLPS) program.

Read more | >