Setting boundaries for these tools, then, could be crucial, some researchers say. Edwards suggests that existing laws on discrimination and bias (as well as planned regulation of dangerous uses of AI) will help to keep the use of LLMs honest, transparent and fair. “There’s loads of law out there,” she says, “and it’s just a matter of applying it or tweaking it very slightly.”
At the same time, there is a push for LLM use to be transparently disclosed. Scholarly publishers (including the publisher of Nature) have said that scientists should disclose the use of LLMs in research papers (see also Nature 613, 612; 2023); and teachers have said they expect similar behaviour from their students. The journal Science has gone further, saying that no text generated by ChatGPT or any other AI tool can be used in a paper5.
One key technical question is whether AI-generated content can be spotted easily. Many researchers are working on this, with the central idea to use LLMs themselves to spot the output of AI-created text.
Monica P. Medina (https://www.state.gov/biographies/monica-p-medina/) is Assistant Secretary for the Bureau of Oceans and International Environmental and Scientific Affairs at the U.S. Department of State. She was also recently appointed as United States Special Envoy for Biodiversity and Water Resources.
Previously, Secretary Medina was an adjunct professor at Georgetown University’s School of Foreign Service. She was also a Senior Associate on the Stephenson Ocean Security Project at the Center for Strategic and International Studies, and Co-Founder and Publisher of Our Daily Planet, an e-newsletter on conservation and the environment.
A former Principal Deputy Under Secretary of Commerce for Oceans and Atmosphere, Secretary Medina served as General Counsel of the National Oceanic and Atmospheric Administration (NOAA), and Special Assistant to the Secretary of Defense. Earlier in her career, Secretary Medina served as the Senior Counsel to former Senator Max Baucus on the Senate Environment and Public Works Committee, as the Senior Director for Ocean Policy at the National Geographic Society, as the ocean lead at the Walton Family Foundation, and in senior roles in other environmental organizations.
Secretary Medina attended college on an Army R.O.T.C. scholarship and began her career on active duty in the Army General Counsel’s Office. She received the Department of Defense Medal for Distinguished Public Service and the Army Meritorious Service Medal. She has a Bachelor’s degree in history from Georgetown University and a J.D. from Columbia Law School.
A jury found Elon Musk not liable for costing investors when he issued a series of tweets saying he had “secured” funding to take the electric car maker private.
The Friday verdict, issued by a nine-person Northern California jury, represents a legal victory for the 51-year-old billionaire, who has seen the value of his Tesla holdings decline some 44% over the past year.
During the trial, Musk personally took the witness stand to defend the tweets, testifying he believed he had a handshake agreement in 2018 with Saudi Arabia’s Public Investment Fund to convert Tesla, which is a publicly traded company, into a private one. It was the Saudis, he said, who subsequently reneged on the deal.
…however I found that the trial brings up the practice of short selling, which is why since the 2007 financial crisis has been made illegal everywhere but the USA. For shot sellers to actually try to sue someone is bizarre.
Welcome Back To Future Fuse Technology today is evolving at a rapid pace, enabling faster change and progress, causing an acceleration of the rate of change. However, it is not only technology trends and emerging technologies that are evolving, a lot more has changed this year due to the outbreak of COVID-19 making IT professionals realize that their role will not stay the same in the contactless world tomorrow. And an IT professional in 2023–24 will constantly be learning, unlearning, and relearning (out of necessity if not desire).Artificial intelligence will become more prevalent in 2023 with natural language processing and machine learning advancement. Artificial intelligence can better understand us and perform more complex tasks using this technology. It is estimated that 5G will revolutionize the way we live and work in the future. From the evolution of Artificial Intelligence (AI), the internet of things (IoT), and 5G network to cloud computing, big data, and analytics, technology has the capacity or potential to transform everything, revolutionizing the future of the world. Already, we see the rapid roll-out of autonomous vehicles (self-driving cars) currently in trial phases for all car companies, and Elon Musk’s Tesla is improving the technology by making it more secure and redefined. Forward-thinking and innovative companies seem not to miss any chance to bring breakthrough innovation to the world…in this video, we are looking into The World Will Be REVOLUTIONIZED by These 18 Rapidly Developing Technologies.
TAGS: #ai #technologygyan #futureTechnology.
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My last article focused on the recent announcement of Google’s MusicLM, although not accessible to the public, due to copyright issues, it does give one new insights that AI is disrupting the value of human talent in the musical field.
Music has been core to humankind for centuries with the first piece of music, a Hurrian Hymn, discovered in the 1950s on a clay tablet inscribed in Cuneiform text. It’s the oldest surviving melody and is over 3,400 years old. Songs are human’s way of communicating stories and encompassing everything we know of as humans.
This article continues to explore the impact of AI on the music industry and looks at some of the pros and the cons, reinforcing the need for increased legal frameworks and copyright protections for musicians.
As neural networks become more powerful, algorithms have become capable of turning ordinary text into images, animations and even short videos. These algorithms have generated significant controversy. An AI-generated image recently won first prize in an annual art competition while the Getty Images stock photo library is currently taking legal action against the developers of an AI art algorithm that it believes was unlawfully trained using Getty’s images.
So the music equivalent of these systems shouldn’t come as much surprise. And yet the implications are extraordinary.
A group of researchers at Google have unveiled an AI system capable of turning ordinary text descriptions into rich, varied and relevant music. The company has showcased these capabilities using descriptions of famous artworks to generate music.
A double-whammy for systematic education since the need for knowledge-workers will decrease at the same time as AI fundamentally questions the need for / uses of “Knowledge Gatekeepers” — establishment academia, lawyers, even actors — the chatterbot classes.
When high school English teacher Kelly Gibson first encountered ChatGPT in December, the existential anxiety kicked in fast. While the internet delighted in the chatbot’s superficially sophisticated answers to users’ prompts, many educators were less amused. If anyone could ask ChatGPT to “write 300 words on what the green light symbolizes in The Great Gatsby,” what would stop students from feeding their homework to the bot? Speculation swirled about a new era of rampant cheating and even a death knell for essays, or education itself. “I thought, ‘Oh my god, this is literally what I teach,’” Gibson says.
But amid the panic, some enterprising teachers see ChatGPT as an opportunity to redesign what learning looks like—and what they invent could shape the future of the classroom. Gibson is one of them. After her initial alarm subsided, she spent her winter vacation tinkering with ChatGPT and figuring out ways to incorporate it into her lessons. She might ask kids to generate text using the bot and then edit it themselves to find the chatbot’s errors or improve upon its writing style. Gibson, who has been teaching for 25 years, likened it to more familiar tech tools that enhance, not replace, learning and critical thinking. “I don’t know how to do it well yet, but I want AI chatbots to become like calculators for writing,” she says.
Gibson’s view of ChatGPT as a teaching tool, not the perfect cheat, brings up a crucial point: ChatGPT is not intelligent in the way people are, despite its ability to spew humanlike text. It is a statistical machine that can sometimes regurgitate or create falsehoods and often needs guidance and further edits to get things right.
To be fair, it seems JP Morgan was only able to check the emails after they acquired the platform since they were concerned about breaching data privacy prior to becoming its new legal caretakers.
Then again, it might be because “old companies” are having difficulty identifying new scams.
Uplevel your news reading experience with Ground News using our link: https://ground.news/wsm.
In 2021 JP Morgan acquired a student aid website called withfrank.org for $175 million. Now the bank is accusing Frank of being a massive fraud. So what is going on?
Meanwhile, your precious data has become part of the collective, as it were.
I’m referring to an aspect that might be quite surprising to those of you that are eagerly and earnestly making use of the latest in Artificial Intelligence (AI). The data that you enter into an AI app is potentially not at all entirely private to you and you alone. It could be that your data is going to be utilized by the AI maker to presumably seek to improve their AI services or might be used by them and/or even their allied partners for a variety of purposes.
You have now been forewarned.
All those people eagerly using generative AI ChatGPT are potentially falling into an insidious trap, namely entering confidential info that they assume will be ironclad confidential. Here’s what they and everyone needs to know.
The second law of thermodynamics is often considered to be one of only a few physical laws that is absolutely and unquestionably true. The law states that the amount of ‘entropy’—a physical property—of any closed system can never decrease. It adds an ‘arrow of time’ to everyday occurrences, determining which processes are reversible and which are not. It explains why an ice cube placed on a hot stove will always melt, and why compressed gas will always fly out of its container (and never back in) when a valve is opened to the atmosphere.
Only states of equal entropy and energy can be reversibly converted from one to the other. This reversibility condition led to the discovery of thermodynamic processes such as the (idealized) Carnot cycle, which poses an upper limit to how efficiently one can convert heat into work, or the other way around, by cycling a closed system through different temperatures and pressures. Our understanding of this process underpinned the rapid economic development during the Western Industrial Revolution.
The beauty of the second law of thermodynamics is its applicability to any macroscopic system, regardless of the microscopic details. In quantum systems, one of these details may be entanglement: a quantum connection that makes separated components of the system share properties. Intriguingly, quantum entanglement shares many profound similarities with thermodynamics, even though quantum systems are mostly studied in the microscopic regime.
