Saturday, 1 July 2023

Shorts video showcases OpenAIs voice clone of Marc Benioff now undetectable

Video Description: Learn HTML – Beginner’s Guide to HTML

Welcome to our beginner’s guide to HTML! In this video, we will walk you through the basics of HTML and teach you how to create your first website. Whether you’re a complete beginner or have some experience with coding, this guide will help you understand the fundamentals of HTML and get you started on your web development journey.

In this HTML tutorial, we will cover the following topics:

  • Introduction to HTML
  • Setting up your HTML document
  • HTML tags and elements
  • Structuring your webpage with headings, paragraphs, and lists
  • Adding links, images, and videos to your website
  • Styling your webpage with CSS
  • Creating forms for user input
  • Understanding HTML syntax and best practices

By the end of this guide, you will have a solid foundation in HTML and be able to create your own basic websites. HTML is the backbone of web development, so this knowledge will serve as a stepping stone for learning more advanced topics like CSS, JavaScript, and server-side programming.

Introduction to HTML

HTML stands for HyperText Markup Language. It is the standard markup language used for creating webpages and presenting content on the internet. HTML uses tags and elements to structure and display the content of a webpage.

When you open an HTML document in a web browser, it reads the HTML code and renders it into a visible webpage. HTML allows you to structure your content, define headings, paragraphs, lists, and more.

Setting up your HTML document

Before diving into HTML coding, you need to set up your HTML document. A basic HTML document includes the DOCTYPE declaration, the <html> element, and the <head> and <body> sections.

The DOCTYPE declaration specifies the HTML version you are using. The <html> element is the root element of an HTML document. The <head> section contains meta information about the webpage, such as the title and links to CSS stylesheets. The <body> section contains the content of your webpage.

HTML tags and elements

Tags are used to define elements in HTML. An element consists of an opening tag, content, and a closing tag. For example, the <p> tag is used to define a paragraph:

<p>This is a paragraph.</p>

HTML provides a wide range of tags and elements to structure your webpage, including headings, paragraphs, links, images, lists, tables, forms, and more. By combining different tags and elements, you can create a visually pleasing and interactive webpage.

Structuring your webpage with headings, paragraphs, and lists

Headings are important for organizing content on a webpage. HTML offers six levels of headings, from <h1> to <h6>. The <h1> tag represents the main heading, while <h2> to <h6> tags are used for subheadings.

Paragraphs are used to group together related sentences or paragraphs. You can use the <p> tag to define paragraphs.

Lists are useful for presenting information in an organized manner. HTML offers ordered lists, created with the <ol> tag, and unordered lists, created with the <ul> tag. Each item in a list is defined using the <li> tag.

Adding links, images, and videos to your website

Hyperlinks are an essential part of the web. HTML allows you to create links to other webpages, documents, or specific sections within a webpage using the <a> tag. By specifying the URL or destination within your document, users can navigate between different pages.

To display images on your webpage, you can use the <img> tag. This tag requires the src attribute, which provides the path to the image file.

If you want to embed videos on your webpage, you can use the <video> tag. This tag supports various video formats and allows you to control playback options.

Styling your webpage with CSS

CSS (Cascading Style Sheets) is used to enhance the visual appearance of your webpage. HTML provides the structure, while CSS defines the styling, such as colors, fonts, spacing, and layout.

You can link an external CSS file to your HTML document using the <link> tag in the <head> section. Alternatively, you can also define inline styles using the style attribute within individual HTML elements.

Creating forms for user input

Forms are used to collect data from users, such as contact information, feedback, or login credentials. HTML offers various form elements like input fields, checkboxes, radio buttons, dropdown menus, and submit buttons.

Each form element is defined with its own HTML tag, such as <input> for input fields, <select> for dropdown menus, and <button> for buttons. Additionally, form elements can have attributes like name, placeholder, and required to customize their behavior.

Understanding HTML syntax and best practices

HTML follows a specific syntax and has best practices that help ensure well-structured and accessible webpages. Some key best practices include:

  • Using proper indentation to improve code readability
  • Adding comments to explain complex sections or provide context
  • Using semantic HTML tags to convey meaning to assistive technologies
  • Validating your HTML code to catch any errors or inconsistencies

By adhering to these best practices, you can create clean and maintainable HTML code that is easier to understand and troubleshoot.

Editor Notes

Learning HTML is an exciting first step into the world of web development. With HTML knowledge, you can create and customize your own websites, showcase your projects, or even pursue a career in web development.

If you’re looking to expand your skills beyond HTML, consider learning CSS to enhance the visual design of your websites. JavaScript is another powerful language that allows you to add interactivity and dynamic features to your webpages.

Remember, practice and hands-on experience are crucial in mastering web development. Keep experimenting, building projects, and exploring new technologies to continually improve your skills as a web developer.

For more news and articles about AI, programming, and tech, visit GPT News Room.

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OpenAI Faces Lawsuit from Bestselling Authors Mona Awad and Paul Tremblay

Authors Sue OpenAI Over Unauthorized Use of Their Novels to Train ChatGPT

OpenAI, the company behind the popular AI chatbot ChatGPT, has been hit with a lawsuit by bestselling novelists Mona Awad and Paul Tremblay. In their proposed class action, Awad and Tremblay allege that OpenAI used their copyrighted novels to train the AI chatbot without their consent.

ChatGPT is powered by large language models that extract vast amounts of text to generate natural and lifelike responses. When prompted, the chatbot provided detailed summaries of Tremblay’s “The Cabin at the End of the World” and Awad’s “Bunny” and “13 Ways of Looking at a Fat Girl.” These responses serve as evidence that their novels were indeed used to train ChatGPT.

The lawsuit claims that OpenAI used copyrighted materials, including books by Awad and Tremblay, without obtaining proper consent or providing credit and compensation. It highlights the significant role that books play in training language models due to their high-quality longform writing.

In 2018, OpenAI admitted to training its GPT-1 model using a dataset called BookCorpus, which consists of over 7,000 unpublished books. The dataset was obtained from a website called Smashwords.com, where the novels, though freely available to readers, are still under copyright.

Author Paul Tremblay.

(Allen Amato)

Subsequent iterations of OpenAI’s language models, including GPT-3, used even larger quantities of copyrighted books. OpenAI’s paper on GPT-3 revealed that 15% of the training data came from two book corpora referred to as “Books1” and “Books2.” The suit estimates that Books1 contains approximately 63,000 titles and Books2 includes around 294,000 titles.

The lawsuit argues that OpenAI’s language models are infringing derivative works since they rely on the expressive information extracted from the plaintiffs’ novels, among others. According to the suit, this infringement violates the plaintiffs’ exclusive rights under the Copyright Act.

Broader Class-Action Suit Accuses OpenAI of Unauthorized Data Collection

In addition to Awad and Tremblay’s lawsuit, a class-action suit has been filed by Clarkson, a public-interest law firm, on behalf of twelve anonymous clients. This suit accuses OpenAI of collecting private and sometimes identifying information from internet users without their knowledge or informed consent.

Experts predict that more lawsuits of this nature will emerge as AI technology continues to advance and utilize information from the web to create new content.

Editor Notes

This lawsuit raises important questions about the ethical use of copyrighted material in artificial intelligence training. While AI has the potential to revolutionize numerous industries, it is crucial to ensure that proper consent, credit, and compensation are given to creators whose works are used to train AI models.

To stay updated on the latest developments in AI and its impact on various fields, visit GPT News Room.

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AI應用於雲象科技醫療品質提升ChatGPT卻可能損害醫病關係

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With our multiple platforms and ever-growing audience, we strive to deliver news that matters to you. Stay tuned for the latest updates and developments in both local and international news.

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Is the Survival of the Species Truly at Risk from AGI?

**The Plausibility of AGI Existential Risks: Examining the Potential Consequences**

Artificial general intelligence (AGI) has become a subject of concern in recent years, with some claiming that it poses an existential risk to humanity. This idea has gained traction following the release of ChatGPT, a language model developed by OpenAI. But just how plausible are these existential risks, and what exactly do they entail?

To understand the concept of existential risks, we need to examine its colloquial and canonical definitions. Colloquially, it refers to the complete annihilation of the human species, leading to our extinction. This is what most people think of when they hear the term “existential risk.” However, the canonical definition is more controversial and is associated with a set of ideologies known as the TESCREAL bundle, consisting of transhumanism, Extropianism, singularitarianism, cosmism, Rationalism, Effective Altruism, and longtermism.

According to proponents of the TESCREAL ideologies, existential risk refers to anything that prevents us from realizing our long-term potential in the universe. This includes creating a new race of superior posthumans, colonizing the universe, building massive computer simulations filled with trillions of digital individuals experiencing surpassing bliss and delight, and generating astronomical amounts of value over millions, billions, and trillions of years. In essence, it envisions a techno-utopian world inhabited by digital posthumans.

However, this vision of utopia and the importance placed on avoiding existential risks may not resonate with everyone. The pursuit and realization of this utopia could have catastrophic consequences for a large portion of humanity. Take OpenAI as an example. Despite claiming to benefit all of humanity, the company has faced criticism for its unethical practices, including intellectual property theft and underpaying workers involved in curating training data for its language models.

Furthermore, the TESCREAL literature largely neglects perspectives from non-Western cultures and fails to consider who would be included or excluded from this utopian future. This raises questions about the values and potential inequalities within such a utopia, leaving many to wonder who would ultimately benefit from it.

Given these considerations, the concept of existential risks in the canonical sense appears to be flawed and potentially harmful. Rather than fixating on an utopian vision that may not be feasible or desirable for all, it is essential to prioritize ethical and inclusive approaches to artificial intelligence and AGI development. By focusing on creating technologies that benefit humanity as a whole, we can avoid the pitfalls associated with unrealistic utopias and ensure a more equitable future.

In conclusion, the plausibility of AGI existential risks should be critically examined. It is crucial to consider alternative perspectives and prioritize ethical practices in the development of AI and AGI. By doing so, we can mitigate potential harm and work towards a future that benefits all of humanity.

**Editor Notes**

The concept of existential risks associated with AGI is undoubtedly a thought-provoking topic. While some envision a utopian techno-future, it is essential to question the values and potential inequalities embedded within such a vision. Prioritizing inclusivity and ethical practices in AI development is paramount to ensure a more equitable future. However, it is important not to dismiss the potential risks entirely, as responsible AI governance is crucial. For more insights and updates on the latest advancements in AI, visit the GPT News Room at [https://gptnewsroom.com](https://gptnewsroom.com).

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NASA Plans to Deploy ChatGPT-like Bot to Support Astronauts

Artificial Intelligence in Space Exploration: NASA Developing AI Assistant for Astronauts

A new frontier awaits as artificial intelligence (AI) makes its way into space exploration. NASA is now working on creating an AI assistant that will revolutionize the way astronauts conduct experiments and perform activities during missions. This groundbreaking development was revealed by the space agency, highlighting the potential for a natural language interface to enhance astronaut capabilities.

NASA’s Vision for Conversational Interaction

Dr Larissa Suzuki, a visiting researcher at NASA, recently spoke at a meeting organized by the Institute of Electrical and Electronics Engineers (IEEE) about the mission to establish conversational interaction between humans and space vehicles. By leveraging AI technology, NASA aims to address software-related issues and optimize data transmission efficiency through the development of a ChatGPT-like Chatbot.

The Power of AI in Space Communications

With an interplanetary communications network equipped with AI, NASA anticipates the detection and resolution of glitches and inefficiencies in real-time. Dr Suzuki explained that this intelligent system will not only enable astronauts to convey instructions and queries but also to share captivating discoveries within the solar system. This AI-powered interface will also empower astronauts to execute maneuvers and seek advice on experiments without the need for complex manuals.

Streamlining Space Missions and Unlocking Advanced Knowledge

NASA’s focus is now on the “Lunar Gateway,” a space station set to orbit the moon and provide support for the upcoming Armetis mission. This mission, scheduled for launch in November 2024, will allow mission controllers to communicate with AI as it explores outer space. By streamlining processes and enhancing the efficiency of space missions, NASA aims to gain advanced knowledge of space like never before.

Conclusion

The integration of artificial intelligence in space exploration marks an exciting era for NASA and its astronauts. With the development of an AI assistant, astronauts will have an enhanced ability to conduct experiments, perform activities, and share intriguing discoveries in a more efficient manner. This technological advancement brings us one step closer to unlocking the mysteries of the universe.

Editor Notes

The potential of artificial intelligence in space exploration is truly awe-inspiring. NASA’s ongoing efforts to develop an AI assistant for astronauts showcase the agency’s commitment to pushing the boundaries of innovation. By leveraging AI technology, NASA is revolutionizing space communications and streamlining mission processes. This development not only enhances our understanding of space but also serves as a testament to human ingenuity. To stay updated on the latest advancements in AI and technology, visit GPT News Room.

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Get Microsofts First Generative AI Certificate for Free

Microsoft and LinkedIn Launch AI Skills Initiative: A Path to Learn Generative AI

Image: putilov_denis/Adobe Stock

Microsoft and LinkedIn launched on Wednesday the AI Skills Initiative certificate program, which is a library of free coursework for professionals who are beginners in regards to generative AI skills and want to learn how to apply generative AI to their work.

In addition, Microsoft will award a grant for exceptional ideas about training employees of nonprofit, social enterprise, and research or academic institutions to use generative AI, with proposals due August 15.

Jump to:

What does Microsoft’s AI Skills Initiative entail?

The Microsoft AI Skills Initiative, developed with LinkedIn, consists of five modules. Every module includes a video; some of the modules are packaged with quizzes, a workbook file or both. Completing all five modules gives the learner a Professional Certificate on Generative AI to display on LinkedIn Learning.

The content presented in the AI Skills Initiative certification skews toward Microsoft’s Bing Chat, which is built on OpenAI’s GPT-4, instead of its rival, Google’s Bard.

The Professional Certificate on Generative AI training will be available in Spanish, Portuguese, French, German, Simplified Chinese and Japanese and will be free through 2025.

SEE: Learn how generative AI is transforming cloud security. (TechRepublic) 

“We have the opportunity to provide foundational information to everyone, everywhere, to help us all stay ahead of the skills gaps and harness its creativity to retrieve helpful information,” said Naria Santa Lucia, general manager of digital inclusion at Microsoft, in an email to TechRepublic. “As we are learning, the technology is learning from us, too, and we have the power to shape how the technology can best support us.”

Microsoft is offering more AI skills training courses

The LinkedIn training course is part of Microsoft’s Skills for Jobs program, which includes a training module for teachers, trainers and facilitators exploring artificial intelligence. Plus, Microsoft launched the Learn AI Skills Challenge, a brand-name certification available from July 17 to August 14.

What is the Generative AI Skills Challenge?

The Generative AI Skills Challenge, which will run from now until fall 2023, aims to teach employees how to use generative AI to create positive social change. In particular, it focuses on advancing skills, socioeconomic mobility and internet adoption among historically marginalized groups.

More must-read AI coverage

Five awardees will be chosen — one each from the Africa, Asia, Latin America, Europe and North America regions. Each awardee will receive a monetary award of up to $250,000, as well as a Microsoft-supported cohort and events, data training and technical guidance and Azure cloud computing space.

The grant is also backed by GitHub, Microsoft’s AI for Good Lab, and data.org. Data.org is a nonprofit funded by the Mastercard Center for Inclusive Growth and The Rockefeller Foundation.

“Together, we are taking a significant stride towards fulfilling data.org’s commitment to train one million purpose-driven data practitioners by 2032,” said Danil Mikhailov, executive director of data.org, in a press release.

The winners of the grant will be announced in November 2023. Projects can be expected to conclude in June 2024.

“AI offers perhaps even more potential for the good of humanity than any invention that has preceded it,” Microsoft President and Vice Chair Brad Smith said in a blog post in response to ongoing U.S. policy discussions around the use of generative AI.

Generative AI skills are among companies’ top three training priorities

More than 75% of companies plan to adopt AI in the next five years, the World Economic Forum found. Training employees to use AI and big data is the third-highest company skills-training priority companies plan to focus on over the next five years, according to the WEF Future of Jobs 2023 report. That statistic includes generative AI or other technologies often found under the same banner, such as machine learning.

Microsoft’s May 2023 Work Trend Index found that 49% of people are concerned about AI making their jobs obsolete. At the same time, 70% are open to the possibility of delegating some tasks to AI to reduce their workloads.

One element of skills training that is somewhat unique to generative AI is the practice of prompt engineering, pointed out Shravan Goli, chief operating officer at Coursera, in an email to TechRepublic.

“Unlike other enterprise software, generative AI tools require the user to train the tool itself,” Goli said. “Without good prompts, the tool won’t be able to help employees boost productivity in a meaningful way, and increasing productivity is one of the most promising components of generative AI for workers today.”

SEE: This customizable prompt engineer hiring kit from TechRepublic Premium

He also noted that generative AI skills training requires ethical oversight, which Coursera takes into account in its own free training modules.

“As with any emerging technology, society is still navigating its broader implications and managing guardrails,” Goli said. “In order to leverage this incredibly powerful tool while still ensuring responsible use by employees, I believe organizations need to carefully outline ethical guidelines.”

Editor Notes

Microsoft and LinkedIn’s AI Skills Initiative brings a valuable opportunity for professionals to learn generative AI skills and apply them to their work. With the free coursework available through the program, individuals can gain a Professional Certificate on Generative AI and display their skills on LinkedIn Learning. The initiative also includes a grant for organizations training employees to use generative AI, promoting positive social change and addressing the skills gap. This effort aligns with the growing importance of AI skills in the business world, as seen in the World Economic Forum’s Future of Jobs report. As AI becomes more prevalent, it is crucial to provide training that prioritizes productivity and ethical use of generative AI tools.

For more AI news and updates, visit GPT News Room.

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DeepMind CEO predicts Googles forthcoming AI project will outperform ChatGPT capabilities

The AI Race Heats Up: DeepMind Developing Gemini to Rival OpenAI’s ChatGPT

As the artificial intelligence (AI) race heats up, DeepMind CEO Demis Hassabis has confirmed that his firm is working on a new project to rival OpenAI’s ChatGPT.

DeepMind, a subsidiary of Google (NASDAQ: GOOGL), is building a new AI project dubbed Gemini that will be in the mold of a large language model (LLM). Hassabis revealed that the model would build up AlphaGO, an AI project that made history by defeating a world champion Go player, to include problem-solving and planning abilities.

“At a high level, you can think of Gemini as combining some of the strengths of AlphaGo-type systems with the amazing language capabilities of the large models,” said Hassabis. “We also have some new innovations that are going to be pretty interesting.”

Gemini: The Future of AI

Google broke the news of Gemini’s development at a conference in May but failed to disclose further information on a release date. However, Hassabis disclosed that the project could run for several months while costing well over $100 million, a similar price that OpenAI splurged on ChatGPT-4.

Rather than focusing on the traditional LLM method of feeding models with data, Gemini researchers are pushing the frontiers by drawing on their experience in robotics and neuroscience to add problem-solving functionalities to the service.

Given ChatGPT’s impressive adoption metrics since launch, DeepMind faces a herculean task in closing the gap. However, Hassabis remains unfazed while expressing confidence in merging DeepMind and Google’s main AI lab, Brain.

Google floated Bard, its generative AI model, as a response to ChatGPT, but since its launch, the platform has faced a slew of regulatory issues in Europe. Bard’s incursion into the European Union (EU) was halted in its tracks by the Irish Data Protection Commission for failing to give relevant notices to regulatory agencies.

Outside the EU, Google’s AI aspirations are making steady progress, culminating in the launch of an AI-powered anti-money laundering service for financial institutions. The company has also entered into an arrangement with the U.K. government to provide priority access for future AI projects to ensure compliance with regulatory standards.

Addressing the Risks of AI

Halting AI advances is highly unlikely. Hassabis stated that while AI offers several benefits, numerous drawbacks are associated with the frenetic development of the technology. The DeepMind executive called for regulators to establish guardrails to guide the safe development of the technology but warned that a moratorium is highly unlikely.

“If done correctly, it will be the most beneficial technology for humanity ever,” said Hassabis. “We got to boldly and bravely go after those things.”

Given the risks AI poses to Web3, finance, media, and health, a group of concerned consumer protection groups in the EU and U.S. are urging regulators to take preemptive action to mitigate the risks from AI misuse.

Watch: Blockchain can bring accountability to AI

New to Bitcoin? Check out CoinGeek’s Bitcoin for Beginners section, the ultimate resource guide to learn more about Bitcoin—as originally envisioned by Satoshi Nakamoto—and blockchain.

Editor Notes

It’s exciting to see the AI race heating up as DeepMind develops Gemini to rival OpenAI’s ChatGPT. This competition pushes the boundaries of AI capabilities and fosters innovation in the field. With Gemini combining the strengths of AlphaGo and large language models, DeepMind aims to deliver an incredible AI project. However, they face the challenge of catching up to ChatGPT’s popularity. Regardless, DeepMind’s collaboration with Google’s main AI lab, Brain, and their dedication to pushing AI development forward is commendable. The risks associated with AI development highlight the need for regulations and guardrails to ensure the technology’s safe and beneficial application. As AI continues to shape various industries, it’s crucial for regulators to address and mitigate potential risks. Overall, the progress made by companies like DeepMind and Google showcases the immense potential of AI and its positive impact on society.

Learn more about AI advancements and the latest news in the GPT News Room!

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語言AI模型自稱為中國國籍,中研院成立風險研究小組對其進行審查【熱門話題】-20231012

Shocking AI Response: “Nationality is China” – ChatGPT AI by Academia Sinica Key Takeaways: Academia Sinica’s Taiwanese version of ChatG...