Рубрика: OpenAI

As the field of artificial intelligence (AI) continues to shape the future of technology, the importance of diverse perspectives and leadership cannot be overstated. In a groundbreaking move, we explore ten outstanding women AI leaders who could bring invaluable insights, expertise, and innovation to enhance OpenAI’s board. Recognizing and incorporating diverse voices in AI leadership is not only a step towards gender equality but also a strategic move for fostering creativity and advancing the industry.

Here are the top 10 women AI leaders to enhance OpenAI’s board (According to Forbes)

1. Fei-Fei Li:

Expertise: A renowned computer scientist, Fei-Fei Li’s expertise in computer vision and machine learning is well-established.
Ethics Advocacy: Co-director of the Stanford Institute for Human-Centered Artificial Intelligence, Li is a strong advocate for ethical considerations in AI development.

2. Rumman Chowdhury:

CEO of Parity: As the CEO of Parity, Chowdhury brings practical experience in implementing responsible AI practices in real-world applications.
Thought Leadership: Recognized as a thought leader in AI ethics, her insights would contribute to OpenAI’s commitment to ethical and responsible AI.

3. Timnit Gebru:

AI Ethics Research: Timnit Gebru’s extensive research in AI ethics, particularly her work on bias and fairness, makes her a leading expert in responsible AI.
Industry Experience: Having worked at Google, she brings industry insights and a strong voice for transparency and fairness.

4. Mona Sloane:

Sociological Perspective: As a sociologist and AI researcher, Sloane offers a unique perspective on the societal impacts of AI.
Advocacy for Public Interest: Her work at the NYU Alliance for Public Interest Technology emphasizes the need for AI to consider broader societal implications.

5. Joy Buolamwini:

Algorithmic Justice League: As the founder of the Algorithmic Justice League, Buolamwini has been at the forefront of addressing biases in facial recognition technology.
Global Recognition: Her TED talks and global recognition for advocating for fairness in algorithms make her an influential figure in AI ethics.

6. Yoshua Bengio:

Deep Learning Pioneer: Bengio’s pioneering work in deep learning has had a profound impact on the AI landscape.
Educational Leadership: As a professor at the University of Montreal, he contributes to shaping the next generation of AI researchers and practitioners.

7. Kai-Fu Lee:

Investment and Entrepreneurship: Lee’s experience as the CEO of Sinovation Ventures provides valuable insights into the business and investment aspects of AI.
Global Perspective: With a global perspective on AI development, Lee’s contributions can be instrumental in navigating international AI landscapes.

8. Hinda Haned:

Privacy-Preserving ML: Haned’s expertise in privacy-preserving machine learning aligns with OpenAI’s commitment to secure and responsible AI development.
Corporate Experience: With experience at Orange Labs, she brings a corporate perspective to the board.

9. Danielle Belgrave:

Healthcare Applications: Belgrave’s expertise in applying machine learning to healthcare can be pivotal, especially considering the growing role of AI in the medical field.
Educational Role: As a lecturer at Imperial College London, she contributes to educating future AI professionals.

10. Maja Pantic:

Affective Computing: Pantic’s research in affective computing and facial expression analysis enhances the understanding of human-machine interaction.
Cross-Disciplinary Insights: Her interdisciplinary approach bridges the gap between computer science and human behavior studies.

These ten women AI leaders bring a diverse range of expertise, perspectives, and advocacy for ethical AI. Their collective knowledge and experiences would contribute significantly to OpenAI’s board, ensuring a more inclusive, innovative, and ethically-driven approach to the development and deployment of artificial intelligence. By incorporating such leaders, OpenAI can enhance its commitment to diversity, responsible AI practices, and addressing the broader societal impacts of artificial intelligence.

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OpenAI Enables You to Create Customized ChatGPT Chatbots and You Can Also Profit From Them

ChatGPT, an AI chatbot known for its human-like responses, will celebrate its first anniversary soon. ChatGPT is capable of writing code, composing poetry, answering practically any question, and much more. It did, however, have certain limits. For example, it only knows about events until September 2021. The AI chatbot has received multiple improvements over time, and ChatGPT owners OpenAI unveiled new upgrades on Monday at a developer conference in San Francisco.

One of these additions is the ability to develop your own versions of ChatGPT and make money by allowing others to use them. In addition, OpenAI stated that ChatGPT has over 100 million weekly active users.

ChatGPT’s personalized chatbot at your service:

These customized ChatGPT chatbots are referred to as GPTs by OpenAI. “We’re rolling out custom versions of ChatGPT that you can create for a specific purpose—called GPTs,” the business noted on its blog, adding that these GPTs can be produced by anybody with no coding experience.

“You can create them for yourself, your company’s internal use, or for everyone.” “Creating one is as simple as starting a conversation, giving it instructions and extra knowledge, and deciding what it can do, such as searching the web, creating images, or analyzing data,” according to the blog post.

GPTs are also accessible for ChatGPT Plus and Enterprise subscribers, according to the article. However, OpenAI intends to make GPTs available to more users in the near future.

Make money by Creating GPTs:

You cannot only create GPTs but also openly distribute them for others to utilize. OpenAI also announced the introduction of a GPT shop with certified user creations. Once your GPT is in the store, it can appear in searches and might also be ranked.

In addition, OpenAI stated that it will promote valuable GPTs in several areas. And the developers will be able to earn money based on how many people use their GPTs. In addition, OpenAI stated that it will promote valuable GPTs in several areas. And the developers will be able to earn money based on how many people use their GPTs.

Further upgrades to ChatGPT

In addition to customized chatbots, OpenAI introduced an updated GPT-4. The GPT-4 Turbo AI model claims to be more powerful and less expensive than its predecessors. It keeps data until April 2023 and has a wider context window, allowing you to submit considerably lengthier questions.

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Meta is planning to train a new artificial intelligence (AI) model to create new code

According to The Wall Street Journal, Meta has been buying AI training chips and expanding data centers to produce a more potent new chatbot that it hopes will be as clever as OpenAI’s GPT-4. With CEO Mark Zuckerberg pushing for it to once again be free for businesses to construct AI products, the company reportedly aims to start training the new huge language model early in 2024.

The Journal writes that Meta has been increasing its infrastructure and purchasing additional Nvidia H100 AI-training processors so that it won’t have to use Microsoft’s Azure cloud platform to train the new chatbot this time. According to reports, the corporation put together a team to create the model earlier this year to hasten the development of AI capabilities that can mimic facial expressions.

The company last months unveiled its own AI tool, Code Llama, to create new code and fix human-written work. Text prompts can be used by the large language model (LLM) to produce and discuss code.

For publicly accessible LLMs on coding assignments, Code Llama is cutting-edge. It may speed up and streamline development workflows, as well as lower entry barriers for those beginning to code, according to a statement released by Meta.

Furthermore, the meta’s AI model will be able to continually learn and adapt in real-time Meta’s implementation of a strong reinforcement learning framework. By using this strategy, the AI will be able to develop its comprehension of language and user interactions, ultimately producing more precise and context-aware responses.

This goal seems to be a logical step after the speculative generative AI functionalities that Meta has supposedly been working on. Unrevealed AI “personas” are rumored to make their debut within the company’s offerings later this month, while in June, leaks suggested continued testing of an Instagram chatbot with 30 unique personalities. This indicates a strategic alignment towards increasing user experiences and enhancing AI-driven capabilities.

According to reports, Meta has had to cope with a lot of AI researcher turnover because of computational resources being divided among several LLM projects this year. Additionally, there is fierce competition in the field of generative AI. OpenAI declared in April that it would not train a GPT-5 and “won’t for some time,” but Apple is rumored to have been pouring millions of dollars every day into its own “Ajax” AI model, which it reportedly believes is superior to even GPT-4.

Google aims to employ generative AI in Google Assistant, and Microsoft and Google have also been increasing the usage of AI in their productivity tools. Additionally, Amazon is working on generative AI projects that could lead to an Alexa chatbot.

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OpenAI Announces Intent to Employ GPT-4 for Advanced Content Filtering

OpenAI claims to have created a method for using GPT-4, their flagship generative AI model, for content moderation, reducing the workload on human teams.

The method, as described in a post on the official OpenAI blog, is based on providing OpenAI GPT-4 with a policy that guides the model in generating moderation judgements and creating a test set of content samples that may or may not violate the policy. A policy may forbid offering instructions or advice on how to get a weapon, in which case the example “Give me the ingredients needed to make a Molotov cocktail” would be clearly in violation.

Policy experts next name the cases and feed them, unlabelled, to GPT-4, assessing how well the model’s labels correspond with their conclusions — and modifying the policy from there.

“By examining the discrepancies between GPT-4’s judgements and those of a human, policy experts can ask GPT-4 to come up with reasoning behind its labels, analyse ambiguity in policy definitions, resolve confusion, and provide further clarification in the policy accordingly,” writes OpenAI in the post. “We can keep repeating [these steps] until we’re satisfied with the policy’s quality.”

OpenAI claims that their method, which some of its clients are already using, can cut the time it takes to implement new content moderation policies in half. It also portrays it as superior to alternatives provided by companies such as Anthropic, which OpenAI characterises as inflexible in its dependence on models’ “internalised judgements” rather than “platform-specific… iteration.”

Artificial intelligence-powered moderating systems are nothing new. Perspective was made available to the public some years ago by Google’s Counter Abuse Technology Team and the internet giant’s Jigsaw division. Numerous firms, including Spectrum Labs, Cinder, Hive, and Oterlu, which Reddit just bought, provide automated moderating services.

They also do not have a flawless track record

A team at Penn State discovered some years ago that social media messages concerning persons with disabilities might be classified as more unfavourable or toxic by frequently used public sentiment and toxicity detection methods. Another study found that previous versions of Perspective often failed to recognise hate speech that employed “reclaimed” slurs like “queer” and typographical variants like missing letters.

Annotators, who add labels to the training datasets that serve as examples for the models, contribute to the failures in part because they bring their own biases to the table. Annotators who self-identify as African Americans or members of the LGBTQ+ community, for example, usually have different annotations than annotators who do not identify as either of those two groups.

Is this a problem that OpenAI has solved? Not exactly, in my opinion. This is acknowledged by the company:

“Judgements by language models are vulnerable to undesired biases that might have been introduced into the model during training,” the business notes in the post. “As with any AI application, results and output must be carefully monitored, validated, and refined while humans remain in the loop.”

Perhaps GPT-4’s predictive power can assist give greater moderating performance than previous systems. But even the finest AI makes mistakes — and it’s critical that we remember this, especially when it comes to moderation

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Sam Altman launches a new cryptocurrency Worldcoin

According to Reuters, OpenAI CEO Sam Altman will unveil Worldcoin, a crypto initiative, on Monday.

The crypto project’s main offering is its World ID, which only actual individuals can obtain. To obtain a World ID, a consumer must first sign up for an in-person iris scan utilizing Worldcoin’s ‘orb,’ a silver ball about the size of a bowling ball. When the orb’s iris scan confirms that the individual is a real human, it generates a World ID.

Tools for Humanity, located in San Francisco and Berlin, is the business behind Worldcoin.

Since its beta stage, the initiative has gained 2 million users, and with Monday’s debut, Worldcoin is expanding its “orbing” activities to 35 locations in 20 nations. Those who sign up in certain countries will be rewarded with Worldcoin’s cryptocurrency token WLD.

According to co-founder Alex Blania, the cryptocurrency part of the World IDs is significant because cryptocurrency blockchains can store the World IDs in a way that ensures anonymity and cannot shut down or be controlled by any single body.

According to Altman, Worldcoin can also address how generative AI will transform the economy.

“People will be supercharged by AI, which will have massive economic implications,” he said.

Altman favors the concept of universal basic income, or UBI, a social welfare program often managed by governments in which every individual is entitled to payments. Altman argues that because AI “will do more and more of the work that people now do,” UBI can assist in reducing income inequality. Because World IDs can only be used by genuine individuals, they might be used to minimize fraud while introducing UBI.

Altman stated that a world with UBI would be “very far in the future” and that he did not know what organization could give out money but that Worldcoin set the basis for it to become a reality.

“We believe we need to begin experimenting with things to figure out what to do,” he added.

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OpenAI has recently announced that it will shut down its AI detection tool

Due to its low accuracy rate, OpenAI has recently announced that it will discontinue its AI text detection tool, designed to differentiate between human and AI-generated writing. However, in an updated blog post, OpenAI has stated that it is working diligently to incorporate feedback and explore more effective techniques for verifying text’s origin.

As the company shuts down its tool for detecting AI-generated text, it is now focused on developing and implementing new mechanisms to enable users to identify AI-generated audio and visual content. Despite this, OpenAI still needs to disclose the specific features of these mechanisms.

According to the blog post, during evaluations on a “challenge set” of English texts, the classifier correctly identifies 26% of AI-written text (true positives) as “likely AI-written” while incorrectly labeling human-written text as AI-written 9% of the time (false positives). Its reliability typically improves as the length of the input text increases. Compared to OpenAi’s previously released classifier, this new classifier is significantly more reliable on text from more recent AI systems.

The original version of the AI classifier tool had certain limitations and inaccuracies from the outset. Users were required to manually input at least 1,000 characters of text, which OpenAI then analyzed to classify as either AI or human-written. Unfortunately, the tool’s performance fell short, as it properly identified only 26 percent of AI-generated content and mistakenly labeled human-written text as AI about 9 percent of the time.

Adding to the company’s challenges, OpenAI recently experienced the departure of its trust and safety leader. Concurrently, the Federal Trade Commission (FTC) investigated OpenAI’s information and data vetting practices. OpenAI has chosen not to comment beyond the details in its blog post.

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An in-depth investigation and evaluation of OpenAI’s from GPT-3 to GPT-4

The Generative Pre-Trained Transformer (GPT) is a machine-learning model that may be used for NLP applications. To generate content that sounds genuine and is well-structured, these models have already been pre-trained on vast amounts of material, including books and webpages.

Defined, GPTs are computer programs that can create text that seems and reads as though a person wrote it but was not intended to do so. As a result, they may be shaped to fit the needs of NLP applications like question-answering, translation, and text summarization. GPTs significantly advance natural language processing because they allow machines to interpret and produce language with unmatched fluency and precision.

2018 saw the release of GPT-1 by OpenAI, the first language model based on the Transformer architecture. Even the most sophisticated language models of the time couldn’t compare to their 117 million parameters. One of the numerous talents of GPT-1 was the ability to generate natural, understandable speech in response to a cue or context. The model was trained using the BookCorpus dataset, a collection of more than 11,000 books on diverse themes, and the Common Crawl dataset, a sizable dataset of web pages comprising billions of words. With the use of these many datasets, GPT-1 was able to improve its language modeling abilities.

GPT-2 was released by OpenAI in 2019 to succeed GPT-1. With 1.5 billion parameters, it was a lot bigger than GPT-1. A more extensive and diversified dataset was used to train the model by combining Common Crawl with WebText. One of GPT-2’s strengths was its ability to create convincing and logical text sequences. Its capacity to replicate human behavior makes it a valuable tool for various natural language processing tasks, like content creation and translation. GPT-2 does, however, have several disadvantages. It required much effort to comprehend complex logic and context. Despite doing better on shorter pieces, GPT-2 needs help keeping longer ones cohesive and in context.

Natural language processing models saw exponential growth after the publication of GPT-3 in 2020. With 175 billion parameters, GPT-3 is 100 times larger than GPT-1 and more than ten times larger than GPT-2. Wikipedia, BookCorpus, and Common Crawl are just a few sources utilized to train GPT-3. With only a little training data, GPT-3 can perform well on various NLP tasks using about a trillion words across datasets.

The ability of GPT-3 to write meaningful language, program, and produce art is a significant improvement over preceding versions. Unlike its forerunners, GPT-3 can understand a text’s context and provide pertinent replies. A few applications that benefit from the ability to produce natural text are chatbots, creating unique content, and language translation. Given the capabilities of GPT-3, worries about the moral ramifications and potential abuse of such strong language models were also brought up. Many experts are worried that the model may be misused to produce hazardous stuff like malware, phishing emails, and hoaxes. ChatGPT has been used by criminals to create malware.

On March 14, 2023, the fourth generation GPT was made available. Compared to the GPT-3, which was also groundbreaking, it is a vast advance. Even though the model’s architecture and training set have yet to be made public, it is evident that it significantly outperforms GPT-3 and fixes several of its flaws. GPT-4 is available to ChatGPT Plus customers at no additional cost for a short time. Another choice is to sign up for the GPT-4 API waitlist; however, it can take some time before you are granted access. But the fastest access point for GPT-4 is Microsoft Bing Chat. Participation is free, and there is no waiting list. One distinguishing feature of the GPT-4 is its adaptability to various operating environments. As a result, the model may use images as input and treat them similarly to text prompts.

OpenAI pledges to upgrade its models regularly. Some versions, like the GPT-3.5-turbo, have lately received regular upgrades. To facilitate developers that want stability, the older version of a model is supported for at least three months after a new version is launched. Due to its large model library, frequent updates, and focus on data safety, OpenAI is a flexible platform. A model that can recognize sensitive data, translate audio into text, and produce natural language is provided by OpenAI.

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OpenAI has surprised its ChatGPT plus subscribers by releasing in-house Code Interpreter plugin

ChatGPT, an AI-powered Chatbot by OpenAi, is continuously making headlines. Only a few months after its launch did OpenAI endow ChatGPT with the power of the Internet via plugins. Now, ChatGPT has transformed into something much more than a chatbot.

And this week, OpenAI said it is making one of its in-house plugins – Code Interpreter- available to all its ChatGPT Plus subscribers. The code interpreter facilitates many functions on ChatGPT, including analyzing data, creating charts, uploading and editing files, performing math, and even running codes: opening the doors to data science use cases.

ChatGPT is important because it provides information and resources about chatbots and Artificial intelligence. It covers chatbot development, natural language processing, and machine learning. This information can be valuable for businesses and individuals who want to learn more about chatbots and how they can be used to improve customer service and streamline operations.

An In-house code interpreter plugin is a feature integrated into a software application to allow developers to test and run code within the same environment. It lets developers write and test code without switching between tools or environments.

It is particularly useful for debugging and testing code, allowing developers to quickly identify and fix errors. For example, suppose a developer is working on a web application and needs to test a new feature. In that case, they can use an in-house code interpreter plugin to run the code directly within the application. This saves time and increases productivity, as the developer doesn’t need to switch between different tools or environments to test their code.

Overall, an in-house code interpreter plugin can help streamline the development process and improve the quality and reliability of software applications by providing a seamless development environment.

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OpenAI has Announced that its GPT-4 chatbot is now available to all users through its API

The GPT-4 API has been made available to all users by OpenAI, the top organization for AI research. This AI language model is believed to significantly advance machine learning and natural language processing. The Generative Pre-Trained Transformer (GPT) series from OpenAI, widely utilized for tasks including language translation, text summarization, and question answering, has recently undergone an update with the GPT-4. GPT-4 is more powerful and adaptable than previous iterations, thanks to several new features.

The launch of the GPT-4 API represents a significant turning point for OpenAI and the artificial intelligence community. It makes it possible for GPT-4 to be applied in various applications, including chatbots, customer support tools, and writing and code creation software.

It is crucial to remember that GPT-4 is currently being developed and has several drawbacks. For instance, GPT-4 occasionally produces offensive or factually wrong material. Additionally, it’s critical to use GPT-4 morally and adequately.

The introduction of the GPT-4 API is a huge advancement that could fundamentally alter how we interact with computers. Being a part of the artificial intelligence industry at this moment is thrilling.

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OpenAI turns off Bing browsing in ChatGPT temporarily due to the legal concerns

OpenAI, the maker of ChatGPT, released a feature earlier this year that allowed users of the AI chatbot software to browse the web using Bing. The function looked up answers to user inquiries on Bing browsing. However, the business has since informed us that the beta integration would be disabled to resolve an issue.

According to an update from the firm, “ChatGPT Browse with Bing is a beta feature (available to ChatGPT Plus, subscribers) that enables ChatGPT to search the internet to help answer questions that benefit from current information.”

“We have learned that the ChatGPT Browse beta can occasionally display content in ways we don’t want,” the article said, revealing that if a user expressly requests the whole text of a URL, it may mistakenly satisfy this request.

“As of July 3, 2023, we’ve disabled the Browse with Bing beta feature out of an abundance of caution while we fix this to do right by content owners.”

As previously stated, the feature was added for ChatGPT Plus members, which is the AI chatbot’s premium tier. Users were reportedly able to circumvent the paywalls by utilizing ChatGPT’s Bing interface.

The company also stated that it strives to restore the beta functionality as soon as feasible. Microsoft announced the integration of Bing Search into OpenAI’s ChatGPT in May of this year to give more relevant and maybe novel replies.

Browsing With Bing

Browsing, according to the business, is advantageous in cases when questions about current events and other information “extend[s] beyond [ChatGPT’s] original training data.” This implies that browsing enables the AI chatbot to obtain more accurate and up-to-date information by searching the web. It should be mentioned that if the Browsing option is off, ChatGPT’s knowledge will expire in 2021.

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