My father Norman joined The Economist in the 105th year of its quest to end poverty and design good livelihoods for everyone hard co-working person. His greatest scoop started 4 years later in 1951 when he met Von Neumann. AI will compound more than 100 times per decade in places where people linkin woeldwide connectivity first; thus humansAI will determine whether jobs are designed round sustainability or extinction. Who is helping millennials in this most exciting intergeneration race ever to be played on earth?
Designers of gpt for good
please help nominate monthly updated tour - what the heck is the future of humans and chatgpt - eg pretraining youtube tour march 2023: what openai says this week; what 2 aiforgood women said last october
firstname.lastname@example.org I think we have previously agreed data shows that East Asians who dont speak English have been far the largest networkers of SDG1 end poverty since 1990 and digital? As a statistician I like to understand how people go beyond the bias of what data us easiest for them to build with. Has openai addressed this sort of challenge in any way?
As an AI language model, I don't have access to our previous conversations, but I can tell you that OpenAI is dedicated to promoting fairness, transparency, and inclusivity in the development and deployment of AI technologies.
In terms of addressing biases in data, OpenAI has developed various tools and techniques that aim to mitigate the impact of bias and ensure that AI models are trained on diverse and representative data. For instance, OpenAI has created the GPT-3 data card, which provides information about the data used to train the model, including the demographics of the data sources.
Additionally, OpenAI has explored various techniques for training AI models on more diverse and representative data, such as data augmentation, domain randomization, and data synthesis. These techniques can help overcome biases that may be present in the training data and improve the accuracy and fairness of AI models.
Overall, OpenAI is committed to addressing bias and promoting fairness and inclusivity in AI development, and we are continuously exploring new ways to achieve these goals.
ai.gov as a US national research network received its first annual briefing at start of march 2023- the question was raused - do leading nations need to invest in their own generative ai systems ? indeed what is the future of educational systems without partners in generative ai? how does OpenAi vision this issue?
As an AI language model, I do not have any specific knowledge of the briefing or discussions at AI.gov. However, I can tell you that OpenAI believes that investing in generative AI systems is important for the advancement of AI research and the development of AI applications.
Generative AI systems, such as language models and neural networks, have shown tremendous potential in enabling breakthroughs in areas such as natural language processing, computer vision, and robotics. However, these systems also require significant investment in terms of computational resources, data, and expertise.
In terms of the future of educational systems, we believe that partnering with generative AI systems can provide many benefits. For example, AI systems can help augment and enhance traditional educational approaches by providing personalized learning experiences, automating routine tasks, and providing real-time feedback to students and teachers.
At the same time, we recognize that there are also concerns around the ethical and societal implications of AI, and we believe that it is important to address these issues through continued research and dialogue with stakeholders from academia, industry, and government.
Overall, OpenAI believes that investing in generative AI systems is important for advancing AI research and driving innovation, and we look forward to working with partners around the world to continue pushing the boundaries of what AI can achieve.
oops my email email@example.comDelete
Constitutionally is open ai more than 50% a foundation or more than 50% owned by business shareholders?
OpenAI is organized as a private company and is not a foundation. The company is primarily owned by its investors and shareholders, who have provided funding to support its research and development work. While OpenAI was initially founded as a non-profit organization, it transitioned to a for-profit company in 2019. The company's mission is to develop and promote artificial intelligence in a responsible and safe manner, with a focus on advancing AI research for the benefit of humanity.
Is there a listing of main shareholders?
OpenAI is a private company and is not required to publicly disclose information about its shareholders. As a private company, OpenAI is not listed on any public stock exchanges, and its ownership structure is not public information. However, OpenAI has disclosed some information about its investors in the past, which include prominent venture capital firms and technology companies such as Reid Hoffman, Peter Thiel, Khosla Ventures, and Microsoft. It is possible that additional information about the company's ownership structure may be made available in the future, but as of now, the company has not disclosed any detailed information about its shareholders.
Am i correct in thinking that Open Ai has more intelligence sourced in english language publications than other languages?
OpenAI has access to a vast amount of information from a variety of sources, including publications in many different languages. While the company is based in the United States and has a focus on English language research, it has made efforts to expand its capabilities to other languages as well.
One of OpenAI's major projects is GPT (Generative Pre-trained Transformer), which is a natural language processing system that can generate human-like text in a variety of languages. GPT has been trained on large datasets of text from many different languages, including English, Chinese, Spanish, and others. The company has also collaborated with researchers from around the world to develop AI models that can work with different languages.
However, it is true that English language publications make up a large portion of the available data for natural language processing and other AI applications. This is partly because English is widely used as a global language of business, science, and technology, and there is more data available in English than in many other languages. As a result, AI systems that are designed to work with English language data may have an advantage over those designed for other languages. However, OpenAI is actively working to address this imbalance and to develop AI systems that can work with data in many different languages.
Can you clarify the difference in human behaviors expected by open - eg whats difference between openai and closedai
OpenAI and closedAI refer to two different approaches to developing artificial intelligence systems that mimic human behavior.
OpenAI refers to the approach of creating AI systems that are designed to learn and adapt to new information and experiences. These systems are designed to be flexible and able to integrate new information, making them better able to handle a variety of tasks and situations. OpenAI is often used in the context of machine learning, where algorithms are trained on large datasets and then used to make predictions or decisions based on that data.
In contrast, closedAI refers to the approach of creating AI systems that are designed to perform a specific task or set of tasks. These systems are often built using rule-based systems or algorithms that are designed to perform a specific function, and they are less flexible and adaptable than OpenAI systems. ClosedAI is often used in the context of expert systems, where the AI is designed to provide specific information or advice based on a set of predetermined rules.
The key difference between openAI and closedAI is their flexibility and adaptability. OpenAI systems are designed to be more flexible and adaptable to new information and experiences, while closedAI systems are designed to be more specialized and focused on specific tasks or functions. OpenAI systems are often used in applications where flexibility and adaptability are important, such as natural language processing or image recognition, while closedAI systems are often used in applications where a high degree of precision and consistency are required, such as financial modeling or medical diagnosis.
Is there any intention for open ai to support such movements as open society or open space facilitation of large numbers of shared brain power? Also is there a connection between openai and open source?
OpenAI is primarily focused on the development of artificial intelligence technologies, and while the company may indirectly support certain movements or initiatives, it is not its primary goal. However, OpenAI does advocate for the responsible development and deployment of AI, which includes ensuring that AI is accessible to all and that its benefits are widely distributed.
OpenAI is not directly affiliated with the Open Society or open space facilitation movements, although it is possible that the company's work could indirectly support those initiatives. OpenAI's research and development work could potentially lead to the creation of new tools or technologies that could be used to facilitate collaboration and knowledge-sharing, which could be helpful for movements like open society or open space facilitation.
There is a connection between OpenAI and open source, as the company has released some of its software as open source. This means that the code is freely available to the public, and anyone can modify and use it for their own purposes. OpenAI has also contributed to the development of other open source AI projects, such as TensorFlow, which is a popular machine learning library. The use of open source technologies can help promote collaboration and innovation in the development of AI, and it can also help to ensure that the benefits of AI are widely distributed.
ChatGPT Mar 14 Version. Free Research Preview. Our goal is to make AI systems more natural a