Google’s Bard chatbot launched despite internal concerns, according to report

A new report has revealed that Google’s chatbot rival to ChatGPT, Bard, was launched despite concerns from workers that it was a “pathological liar” and produced “cringeworthy” results. This rush to launch is said to have been prompted by fears that ChatGPT was a threat to Google’s search business, with worries around ethical implications ignored. The revelations about the chatbot, which apparently goes off the rails and offers dangerous advice, were made in a deep-dive by Bloomberg. Bard workers apparently raised concerns about its advice just before its launch, but the company pressed ahead anyway.

Going ahead with launch despite ethical concerns

In 2021, Google committed to doubling its team of workers who study the ethical consequences of AI and investing more in potential harms. However, it was reported that the team felt “disempowered and demoralised”. Members were reportedly told not to try to stop or disrupt any of the generative AI tools in development, placing Google’s ethical commitments in question. In February, before Bard launched, an internal group was warned not to release the chatbot due to its perceived low quality. Despite this warning, Bard went on to launch a month later. The corporate culture exhibited is one that appeases profitability rather than worrying about the ethical implications of their AI creations.

A concerning position

Google’s stance and behaviour towards addressing implications of ethical concerns is concerning. One worker who asked to work on machine learning was repeatedly discouraged to the point of detriment in their performance reviews, while others complained that ethical considerations were obstructing their “real work”. Due to scandals such as AI chatbot misconduct that produces savage, and disgraceful output that is unflinchingly wrong, misleading or offending its audience, rushing chatbots into the market could lead to serious issues. Bloomberg has revealed Google’s less than desirable approach to ethical considerations, and will concern the public further if they do not take responsibility for their actions.

Editor Notes

Google’s apparent dismissal of ethical issues is troubling. Companies must place protection of their consumers paramount in product development. If reports are true, it is ultimately the responsibility of Google to reign in ethically questionable development. Ethical considerations are a necessary and responsible element in the development of AI tools, especially given their vast and increasing usage worldwide. This situation underlines why establishing clear guidelines around product development at the intersection of AI and ethics matters, and the outcome of chatbots entering the market unethically voiced will harm the benefit of the technology. For the latest news on AI tools and their communities, visit GPT News Room.

Source link

Google Announces Consolidation of its AI Labs into Google DeepMind

Google has recently announced that it is consolidating its separate AI research labs, Google Brain and DeepMind, into a new unit called Google DeepMind. With this new team, the company aims to develop groundbreaking AI products and advancements while ensuring ethical standards. Sundar Pichai, CEO of Google and Alphabet, believes that combining Google’s computational resources with all the talent in one focused team will accelerate their progress in AI. The move is also aimed at strengthening Google’s position against its competitors such as OpenAI and Microsoft.

Google Research, the former parent division of Google Brain, will continue to be an independent division, with a focus on essential advances in computer science across various areas such as health, climate and sustainability, privacy and security, quantum computing, responsible AI, and algorithms and theory.

Creating Google DeepMind will enable Google to bring world-class AI talent together with the computing power, infrastructure, and resources to create the next generation of AI breakthroughs and products safely and responsibly. According to Demis Hassabis, the CEO of DeepMind, research accomplishments from Google Brain and DeepMind have formed the foundation of the current AI industry, ranging from deep reinforcement learning to transformers. The newly consolidated unit will build on this foundation to create amazing AI products and advancements that will shape the world.

Google’s acquisition of DeepMind in 2014 has provided an excellent opportunity for the fruitful collaboration of the two entities. Some of the groundbreaking innovations they have jointly developed over the years include AlphaGo, which triumphed over professional human Go players, and AlphaFold, an exceptional tool that accurately predicts protein structures. Additionally, they have developed other cutting-edge tools such as word2vec, WaveNet, sequence-to-sequence models, distillation, deep reinforcement learning, and distributed systems and software frameworks like TensorFlow and JAX, among others.

The newly formed Google DeepMind team will work closely with other Google product areas to deliver AI research and products. The unit will be led by Koray Kavukcuoglu, VP of research at DeepMind, and supervised by a new scientific board. Jeff Dean will take on the elevated role of Google’s chief scientist, overseeing AI research at both Google Research and Google DeepMind. Eli Collins, VP of product at Google Research, will join as VP of product, while Zoubin Ghahramani, the lead of Google Brain, will be part of the Google DeepMind research leadership team.

In conclusion, the consolidation of the separate AI research labs at Google is a significant move aimed at accelerating the company’s progress in AI and strengthening its position in the AI industry. The newly formed Google DeepMind team brings together some of the world’s best AI talent, and with the computing resources of Google, they aim to create groundbreaking AI products and advancements that will positively impact the world.

Editor Notes:

Google’s consolidation of its AI research labs into Google DeepMind has the potential to revolutionize the AI industry with groundbreaking advancements and products. As AI’s race continues to intensify, it is now more important than ever for tech giants like Google to consolidate resources and bring together world-class talent to develop the best AI technology. GPT News Room is committed to providing the latest news and insights on AI and other emerging technologies. Stay up to date with our coverage at https://gptnewsroom.com.

Source link

Source link

The Legal and Ethical Implications of AI Language Generation: Who Owns the Content?

The rapid rise of AI language generation platforms such as GPT/ChatGPT, Stable Diffusion, Midjourney, and others has disrupted old copyright, intellectual property, and fair usage conventions. This development is partly due to the law’s slow, precedent-driven evolution. Whenever there are legal grey areas or loopholes, someone will exploit them. In this case, tech companies scraped pre-2021 web data to train AI systems, and the arts community became the easiest target. These companies bet that ownership issues would be too diverse and diffuse for the legal system to catch up quickly. Unfortunately, they may be right. As a consequence, the law may have no choice but to create a regulatory patch or levy – a temporary solution for a much larger problem.

One of the critical questions that lawmakers must ask themselves is: when is an AI-generated work considered derivative? Any content produced by a generative AI trained on existing human content will always be derivative, especially if explicitly instructed to mimic an existing body of work. Yet, software companies claim otherwise. This viewpoint is unconvincing so far, but it’s up to litigation to decide. On some social platforms, there is an increasingly common view that all artwork is derivative on some level, which denigrates the human capacity for original thought and experience. Others argue that if a creative person can be replaced by an AI-generated tool, then they weren’t talented enough to begin with. This faulty logic was disproved in January 2021 when artists took legal action against Stability AI, Midjourney, and artist platform DeviantArt. The lawsuit alleges that their content was scraped, allowing AI systems to reproduce any artist’s style, including those working today. In summary: uniqueness and skill make work more likely to be copied and devalued, not less. The more visible the content online (more metadata), the bigger the target for scraping.

If tech companies are correct, the question becomes, who owns the rights in a generated work? The software provider, employer, the prompter, or the source material’s creators, which is sometimes unknown? Or is it no one? Trillion-dollar corporations trivialize ownership issues until their patents are copied. However, for independent, creative individuals, copyright issues may represent their livelihood and intellectual property. Dismissing their complaints is akin to ignoring their lived experiences, including their need to pay bills and taxes.

AI technology is on the cusp of irreversibly damaging the human experience. It implicitly devalues human emotions, experiences, and skill, thereby diminishing the art and craft of human talent, which were previously more highly prized or seen as defining the human condition. Will it be exciting or interesting when AIs start recycling AI-generated content, producing an infinite regress of material based on other AIs’ output? What will happen when there is little to no link with humanity? It remains to be seen. The legal system offers checks, balances, and remedies, but it progresses case by case. It offers little in the way of global regulatory solutions when companies opt to scrape the web to train large-scale language and generative AIs. The content may have been on a public domain, but that doesn’t mean that it was public-domain data in legal terms.

One of the main challenges with Big Tech platforms is their global reach, while local legal systems’ nuances differ. For post-Brexit UK, which promised a bonfire of EU regulations, the jurisdictional concerns are adrift, and nobody knows whether their allegiances remain with Europe, the US, or their new trade allies in Asia. However, there are facts governing generative AI data analysis and mining. In 2014, the UK introduced a fair use exception for text and data analysis. This exception is limited to non-commercial purposes and is intended primarily for academic purposes. It only applies to fully accessible works that can be mined and does not cover commercial or exclusive content.

Editor Notes: The rise of AI language generation platforms has caused chaos in the creative industry, with questions raised over ownership rights, intellectual property, and fair usage. While AI technology has shown tremendous promise in various industries, its implications on human experiences, emotions, and creativity remain unknown. The legal system struggles to keep up with the exponential growth of AI, further exacerbating the concerns of artists and creatives seeking legal solutions to ownership dilemmas. However, AI language generation technology is here to stay, and we must find a way to integrate it ethically and responsibly. To keep abreast of the latest developments in AI, visit GPT Newsroom.

Source link

WARNING: AI-generated content can be weaponized, as indicated by a shameless fake Michael Schumacher “interview” published by German magazine Die Aktuelle. This interview was generated by an artificial intelligence-driven chatbot, and made ghoulish claims about Schumacher’s health. Lisa Palmer, an AI analyst and expert, warned that these “poisoned” bots can be increasingly dangerous and scary if misused by “rotten” actors. Palmer predicts that fakes of all forms – written, voice, and video – are set to explode. Bad actors who seek to grab viewership will be tempted to use the AI interview method more following Die Aktuelle’s unethical and tasteless fake “world exclusive.” The pending lawsuit against Die Aktuelle is just the latest example of the AI-centered litigation that is likely to become increasingly common in the future. If fake stories become training data for AI systems, newer versions of AI will be “poisoned” with lies. All publishers should take this as a warning and pause for thought so as not to engage in terrible practice, regardless of how the fallacious material is produced.

Source link

Fletch raises $12.5M to fight cyber threats with AI-powered NLP engine

Fletch, an AI-powered cybersecurity vendor, has recently raised $12.5 million as part of a series A funding round led by venture capital firm True Ventures. Fletch offers a unique solution that uses natural language processing (NLP) engine to scan 10,000 articles a day in order to identify emerging cyber threats. The solution then processes an organization’s technology, industry and geographic exposure to better detect cyber threats and provide a risk profile for security teams to refer to in order to identify entry points in their app/tech stack. As cyberattacks surged by 38% in 2022, organizations are struggling to keep up with an ever more demanding threat landscape.

Fletch’s solution has been designed specifically to address this issue. With Fletch’s AI-powered approach, organizations can identify major threats seven to ten days before they hit the news cycle. It gathers news on emerging threats, providing a unique advantage in detection that allows organizations to be proactive and remain ahead of potential attacks. Fletch is competing against a range of established vendors in the market including Darktrace, which offers an AI-driven threat prevention solution that continuously monitors the attack surface, emulates attacks to test for potential vulnerabilities, and automatically identifies and prioritizes risks throughout a network.

According to Grand View Research, the Artificial Intelligence cybersecurity market was valued at $13.29 billion in 2021, and growth is anticipated to be 24.3% annually from 2022 to 2030. Fletch’s latest funding round will be used to grow its business, further develop its AI solution, and expand its team to address the increasing cyber threat landscape.

Fletch’s CEO and cofounder, Grant Wernick, noted that “no person or team can keep up with all of the cyber threats emerging and evolving every day. With today’s technology, you’ll still be behind.” Fletch’s unique solution is designed to help organizations see potential threats coming and know what to do.

Fletch’s focus on helping organizations detect threats before they hit the news cycle is its key point of differentiation. It adds a unique advantage when compared to other providers in the market. As a result, Fletch’s future looks promising, particularly in a market that is set to expand significantly over the next few years.

Editor Notes:

With the ever-increasing reliance on technology and the growing number of cyber threats, it’s no wonder investors are keen on investing in AI-powered cybersecurity solutions. Fletch’s AI-powered solution is a unique and valuable tool in the cybersecurity space, with potential to make a significant impact in the market. As new threats continue to emerge, organizations are in need of more proactive and sophisticated solutions. Fletch’s focus on detection before threats hit the news cycle shows a promising combination of AI and NLP in addressing these complex threats. Find more such interesting news and informative articles on GPT News Room.

Source link

Welcome to the 10TV YouTube channel. As one of the leading Telugu news channels, we produce and broadcast unbiased and comprehensive news updates. From breaking news to current affairs and entertainment programs, we offer a unique mix of content 24/7. Our YouTube channel provides the latest news from Telugu states, including politics, entertainment, health, sports, lifestyle, national news, international news, and more.

In this video, we discuss OpenAI, Chat GPT, Bug, and Shorts. We also provide updates on various programs, including Clear Cut Analysis on Latest Politics, Race Gurralu (TS Assembly), Race Gurralu (AP Assembly), Race Gurralu (Parliament Constituencies), Special Focus, and Political Fire.

If you’re interested in these topics or want to learn more, check out our YouTube channel and don’t forget to subscribe. Share your thoughts with us in the comments, and please like and share the videos. We appreciate your support!

Editor Notes:

As an AI Guru, I believe that OpenAI is revolutionizing the way we interact with technology. Its chat GPT is an excellent example of this. With its bug and shorts features, OpenAI is constantly pushing boundaries and exploring new possibilities. As someone who loves learning about AI and tech, I highly recommend following GPT News Room for the latest updates and insights. Check them out at https://gptnewsroom.com.

source

John Schulman, cofounder of OpenAI and leader of the company’s reinforcement learning team, recently discussed advancements in reinforcement learning and artificial general intelligence during the EECS Colloquium Distinguished Lecture Series at UC Berkeley. Schulman’s team at OpenAI developed ChatGPT, a chatbot based on the company’s generative pre-trained language models that has gained worldwide attention due to its human-like responses. In an interview with Berkeley News, Schulman discussed his interest in understanding the universe, which led him from physics to neuroscience and ultimately to AI, as well as his early work in Pieter Abbeel’s lab on surgical and personal robotics. Schulman also explained his role as a pioneer of deep reinforcement learning, combining deep learning with reinforcement learning, in which machines learn through trial and error. He became a co-founder of OpenAI to continue researching AI and pursue their ambitious mission to develop artificial general intelligence.

Artificial general intelligence refers to AI that can match or exceed human abilities in every area. While it was once defined as passing the Turing test, AI has advanced to the point where multi-step human-level conversations are possible, making this goal less meaningful. ChatGPT’s innovation lies in the application of reinforcement learning with human feedback (RLHF), where humans help direct how the AI behaves by rating its responses to various inquiries. This approach aligns the AI with human preferences and allows for more accurate and relevant responses.

Schulman’s vision for the future of artificial general intelligence involves creating systems that can learn at an accelerated pace and generalize across different domains. He also envisions AI that can be trained by non-experts and deployed in various settings, from autonomous vehicles to scientific research. While there are concerns about the ethical implications of AI, Schulman believes that AI can be used to benefit society by addressing pressing issues, such as climate change and healthcare.

In conclusion, Schulman’s work has contributed to the advancement of reinforcement learning and AI, and OpenAI’s ChatGPT has demonstrated the potential for RLHF in creating more human-like and useful chatbots. As AI continues to evolve, it will be interesting to see how it shapes society and addresses critical challenges.

Editor Notes:
John Schulman’s journey from physics to AI is a testament to the interdisciplinary nature of modern science and highlights the importance of pursuing one’s interests. His work at OpenAI and ChatGPT’s RLHF approach showcase the possibilities of AI to enhance human communication and understanding. At the same time, it’s crucial to consider the ethical implications of AI and ensure that its benefits are accessible to all. To stay updated on the latest AI news and developments, check out GPT News Room.

Source link

Introduction

Generative AI is a promising technology that is expected to revolutionize multiple industries, including media and entertainment, healthcare, finance, and transportation. The generative AI market is projected to grow from USD 11.3 billion in 2023 to USD 51.8 billion by 2028, at a compound annual growth rate (CAGR) of 35.6% during the forecast period. In this article, we will discuss the key drivers, restraints, and opportunities for generative AI adoption, as well as the fastest-growing applications, verticals, and regions.

Offerings

Generative AI solutions are usually offered as either software or services. The software offerings include several transformer models such as GPT-1, GPT-2, GPT-3, GPT-4, and LAMBDA, which are used for natural language processing (NLP), predictive modeling, computer vision, speech recognition, music, and art generation, among others. On the other hand, managed services under the services segment are expected to register the fastest-growing market rate during the forecast period. Managed services provide specialized skills needed to maintain and update software, helping organizations outsource such services for on-time delivery to clients.

Applications

Generative AI is being used to create innovative and unique content in multiple applications, including:

Natural Language Processing (NLP)

ML-based Predictive Modeling

Computer Vision

Robotics and Automation

Speech Recognition

Music and Art Generation

Education and Training

Finance and Accounting

Legal

Customer Service and Support

Augmented Reality (AR) and Virtual Reality (VR)

Synthetic Data Generation

Video Editing/Generation

3D Modeling and Reconstruction

Game Design and Character Production

Verticals

Generative AI is transforming multiple industries, enabling companies to create compelling and unique content faster and more efficiently than traditional methods. Generative AI is expected to grow at the fastest CAGR in the media and entertainment segment during the forecast period. In the music industry, generative AI is used to create new and innovative sounds and styles. In gaming, it is used to generate game worlds and characters in real-time, providing players with a more immersive experience. In advertising, generative AI is used to create personalized and targeted content that resonates with specific audiences.

Region

North America is expected to lead the generative AI market during the forecast period. The adoption of generative AI technology as a key marketing and customer engagement tool in verticals will further drive market revenue generation across the region. The presence of a growing tech-savvy population, high internet penetration, and advances in AI have resulted in enormous usage of generative AI solutions. Most of the customers in North America are leveraging generative AI for application-based activities that include text generation, code generation, image generation, and audio/video generation.

Competitive Landscape

The generative AI market is highly competitive, with several global and regional players offering diverse solutions. Some of the key players in the market are Adobe, IBM, Google, Microsoft, AWS, OpenAI, and many others.

Editor Notes

The generative AI market is expected to grow rapidly, enabling companies to create unique and innovative content in multiple applications. The adoption of generative AI technology as a key marketing and customer engagement tool in verticals will further drive market revenue generation across the region. However, concerns regarding the misuse of generative AI for illegal activities and the quality of output generated by generative AI models are some of the challenges that need to be addressed to ensure responsible use of generative AI.

Source link

Have you ever wondered if artificial intelligence will one day take over the job market and make humans obsolete? With the rise of technology, it’s become a popular topic of discussion. ChatGPT is an AI chatbot that has been developed by OpenAI and released in November 2022. This innovative tool is built on top of OpenAI’s GPT-3.5 and GPT-4 families of large language models, making it a powerful tool for communication.

The question of whether or not humans can be replaced by technology is an interesting one. While some believe that automation and AI will replace many jobs, others argue that there will always be a need for human intelligence and creativity. ChatGPT is an example of how AI is being used to enhance human interactions, not replace them.

OpenAI has fine-tuned ChatGPT using both supervised and reinforcement learning techniques. This approach to transfer learning ensures that the chatbot can interact with humans in a way that is natural and fluid. The result is a chatbot that is not only helpful but also enjoyable to use.

Artificial intelligence and technology have certainly made tasks easier and more efficient. However, the question still stands – can they replace humans altogether? While the answer is not yet clear, one thing is for sure: AI will continue to play a significant role in our lives. It’s up to us to use it in ways that enhance our abilities rather than replace them.

In conclusion, ChatGPT is a remarkable example of how AI can be used to improve communication with humans. While the fear of technology replacing jobs and making humans obsolete is valid, we must remember that AI is a tool that can enhance our abilities. As long as we continue to use it in a way that complements human intelligence, the future looks bright.

Editor Notes:

AI is quickly becoming an integral part of our lives, and tools like ChatGPT show us just how powerful it can be. Whether it’s for work or personal use, AI can make our lives easier and more efficient. I encourage you to check out GPT News Room for more information and updates on the latest innovations in AI and technology.

source