OpenAI

OpenAI is officially introduced to the public on December 11, 2015. The news articles from this period suggest that the organization was launched sometime after this date.

The DQN implementation and its variations in OpenAI Baselines achieve performance levels comparable to those reported in published papers. They are intended to serve as a foundation for incorporating novel approaches and as a means of comparing new methods against established ones.

OpenAI releases a blog post highlighting the advantages of incorporating adaptive noise into reinforcement learning algorithms through parameter noise. This technique enhances exploration efficiency by introducing randomness directly into the agent's neural network policy, leading to improved algorithm performance and more effective exploration.

Microsoft and OpenAI collaboration announced to protect humanity's best interests.

OpenAI releases a paper introducing Sparse Transformers, a deep neural network designed for processing sequences of data like text, sound, and images. It features an enhanced algorithm based on the attention mechanism, enabling the extraction of patterns from sequences significantly longer than before.

OpenAI reveals MuseNet, a deep neural network capable of composing 4-minute musical pieces using 10 different instruments. The network can blend various music styles ranging from country to classical, leveraging unsupervised technology.

OpenAI introduced a cutting-edge system that enables robots to exhibit humanlike dexterity, enhancing their capabilities in performing intricate tasks.

OpenAI participates in a Congressional hearing focusing on the potential consequences of synthetic media, particularly synthetic text. The House Permanent Select Committee on Intelligence examines the national security challenges posed by artificial intelligence, manipulated media, and deepfake technology.

OpenAI developed a robotic hand that can learn human behaviors without direct human intervention, showcasing advancements in AI technology.

OpenAI introduces Sparse Transformers, a new approach to deep learning that enhances the ability to process longer sequences efficiently.

OpenAI and DeepMind collaborate to achieve superhuman performance in reinforcement learning.

OpenAI has successfully trained a pair of neural networks to solve the Rubik's Cube using a human-like robotic hand. The networks were trained in simulation with a new technique called Automatic Domain Randomization (ADR), allowing for the transfer of learning to real-world scenarios.

OpenAI has recently unveiled a more advanced fake news-writing algorithm, raising concerns about the spread of misinformation.

OpenAI releases the natural language model GPT-3 on GitHub and publishes a paper on ArXiV explaining how GPT-3 was trained and its performance. Games, websites, and chatbots based on GPT-3 are created by various individuals, showcasing its superiority over previous models.

Microsoft collaborates with OpenAI to exclusively license the GPT-3 language model, enabling the development of advanced AI solutions and new products leveraging natural language generation. This partnership aims to democratize AI technology and expand Microsoft's Azure-powered AI platform.

On January 5, ex-Y Combinator president Sam Altman was fired as CEO of AI startup OpenAI, leading to the resignation of the company's longtime president and co-founder, Greg Brockman, as well as three senior OpenAI researchers.

OpenAI introduces CLIP, a neural network that learns visual concepts from natural language supervision and can be applied to any visual classification benchmark. It is trained on various images with natural language supervision available on the internet, improving model's robustness and achieving competitive zero-shot performance on image classification datasets.

OpenAI's GPT-3 algorithm is now generating billions of words daily, showcasing the rapid advancement in AI language models.

OpenAI introduces the capability for customers to fine-tune their GPT-3 language model, enabling customization for specific content needs. This feature enhances output quality for tasks like content generation and text summarization, catering to developers without machine learning expertise.

OpenAI introduces embeddings in their API, allowing users to utilize semantic search, clustering, topic modeling, and classification. These embeddings outperform other models, especially in code search, by indicating semantic similarity through numerically similar embeddings.

OpenAI introduces InstructGPT as an enhanced version of GPT-3, focusing on addressing concerns related to toxic language and misinformation by improving instruction-following and alignment with human intention. It utilizes reinforcement learning from human feedback (RLHF) for fine-tuning.

OpenAI introduces new versions of GPT-3 and Codex that allow users to edit and insert content into existing text. This update enables users to modify and enhance text by editing existing content or adding new text in the middle, with a focus on software development and maintaining context in code files.

OpenAI introduces a new technique called Video PreTraining (VPT), which is a novel semi-supervised imitation learning technique.

OpenAI introduces Video PreTraining (VPT), a semi-supervised imitation learning technique that utilizes unlabeled video data from the internet. By training an inverse dynamics model (IDM) to predict actions in videos, VPT enables the labeling of larger datasets through behavioral cloning. The researchers validate VPT using Minecraft, where the trained model successfully completed challenging tasks and even crafted a diamond pickaxe, typically a time-consuming activity for human players. Compared to traditional reinforcement learning, VPT shows promise in simulating human behavior and learning complex tasks. This approach has the potential to enable agents to learn from online videos and acquire behavioral priors beyond just language.

OpenAI implements a new technique to reduce bias in its DALL-E image generator, particularly for generating images of people that accurately represent the diversity of the world's population. The technique is applied at the system level when prompts do not specify race or gender, based on early user feedback and safety system enhancements.

OpenAI introduces a new content moderation tool called the Moderation endpoint, which utilizes GPT-based classifiers to identify prohibited content like self-harm, hate speech, violence, and sexual content. The tool aims to provide accurate and efficient moderation across various applications, enabling developers to access classifiers through a single API call.

OpenAI removes the waitlist for its DALL-E beta, enabling new users to start creating immediately. The tool has gained popularity with over 1.5 million active users generating over 2 million images daily, fostering a vibrant community on Discord.

The planned sale of OpenAI employee shares, valuing the startup at about $86 billion, could be in jeopardy due to recent events. The sale may not happen or may occur at a lesser valuation, according to sources formerly with the company.

OpenAI introduces the Text-Embedding-Ada-002 model, which consolidates five separate models for text search, text similarity, and code search. It surpasses the capabilities of their previous model, Davinci, in various tasks, while being significantly more cost-effective.

On January 23, 2023, Microsoft revealed a significant investment of $10 billion in OpenAI over multiple years. There were speculations that Microsoft might receive 75% of OpenAI's profits until the investment is recovered, along with a 49% ownership in the company.

A look into the history of OpenAI and its impact on the world, including the development of ChatGPT.

On March 14, 2023, OpenAI announced the release of Generative Pre-trained Transformer 4 (GPT-4), capable of accepting text or image inputs. It showcased improved capabilities over GPT-3.5, including passing a simulated law school bar exam.

OpenAI launches DALL·E 2, an extension aimed at enhancing creativity.

Consensus, a Boston-based AI-powered search engine specializing in scientific research, collaborates with OpenAI to improve the quality of scientific web searches. By leveraging generative AI technology to analyze over 200 million research papers, Consensus aims to provide unbiased and accurate search results. The partnership with OpenAI signifies a significant step towards revolutionizing scientific web search and transforming the research industry.

OpenAI stresses the significance of regulating superintelligence, AI systems that exceed artificial general intelligence (AGI) in capabilities. They advocate for coordination among AI development efforts, the establishment of an international authority, and technical safety measures to manage risks.

OpenAI introduced generative models, a significant advancement in AI technology, allowing for the creation of realistic data.

OpenAI acquires the New York-based startup Global Illumination, known for its work with major tech companies and the creation of the game Biomes. The acquisition is aimed at enhancing OpenAI's products like ChatGPT.

Sam Altman reached an agreement in principle to return as CEO of OpenAI, involving the reconfiguration of the board of directors. This agreement was supported by Microsoft's investment in OpenAI and involved the determination of the exact terms of Altman's reinstatement.

An overview of OpenAI and its revolutionary ChatGPT technology, showcasing its impact on various industries.

Elon Musk sued OpenAI and its CEO, accusing them of prioritizing profits over the original mission of developing AI for humanity's benefit, following their partnership with Microsoft.

OpenAI releases an analysis indicating the exponential increase in compute used for AI training runs since 2012, surpassing Moore's Law growth rate. The rise in compute is crucial for enhancing AI capabilities, driven by hardware advancements and algorithmic innovations.