Releases

OpenAI launched ChatGPT as a conversational research preview.

Harvey raised a $5 million seed round led by the OpenAI Startup Fund.

Meta withdrew the public Galactica demo after criticism over unreliable and misleading generated scientific content.

Meta AI released a research demo of Galactica, a large language model trained on scientific knowledge.

Amazon introduced an AI and computer-vision system able to identify and handle individual products.

BigScience released BLOOMZ and mT0, instruction-finetuned multilingual models derived from BLOOM and the xP3 task collection.

Midjourney released V4 with major improvements in realism, artistic coherence, and detail.

Harvey launched its conversational legal assistant for research, drafting, and analysis.

Cohere released its second-generation multilingual embedding model for semantic search across more than 100 languages.

The BigCode project released The Stack, a large permissively licensed source-code dataset with tools for governance and opt-out.

Meta AI published hundreds of millions of predicted metagenomic protein structures with ESMFold.

Replit launched Ghostwriter with AI completion, generation, transformation, and explanation tools.

Cohere established its Rerank family of cross-encoder relevance models for search pipelines.

Cohere made relevance reranking available through a dedicated API endpoint requiring only a small search-stack integration.

Cohere introduced a multilingual cross-encoder Rerank endpoint for improving keyword and semantic search results.

Meta released EnCodec, a neural audio codec for high-fidelity compression.

IBM Research disclosed an AI accelerator built for efficient enterprise inference.

MLflow 2.0 expanded evaluation, pipelines and deployment workflows for production machine learning.

Microsoft announces Designer, an AI-powered graphic-design application using generative image technology.

AWS launched Trainium-powered EC2 instances for high-performance deep-learning training.

Google Research introduces AudioLM for generating long-term coherent, high-fidelity audio from discrete representations.

Hugging Face launched managed, autoscaling dedicated endpoints for deploying models from the Hub.

Meta open-sourced AITemplate, a Python framework that transforms neural networks into optimized GPU code.

Hugging Face released Text Generation Inference, a production server optimized for large-language-model generation.

Meta presented Make-A-Video, a system for generating short videos from text prompts.

OpenAI removed the DALL-E beta waitlist and expanded access to new users.

OpenAI released Whisper, a multilingual speech-recognition model, together with model weights and inference code.

NVIDIA introduced BioNeMo, a generative AI service for chemistry and biomolecular research.

Meta moved PyTorch into an independent foundation hosted by the Linux Foundation.

Perplexity raised approximately $3.1 million in seed financing from Elad Gil and a group of prominent AI and technology investors.

Diffusers added first-class support for Stable Diffusion, enabling local and hosted generation workflows around the newly released open model.

Hugging Face launched its enterprise platform around Private Hub, secure collaboration, governance, deployment, and organizational support.

Hugging Face launched Private Hub as a secure and compliant platform for organizations to collaborate on models, datasets, and applications.

Amazon researchers published a 20-billion-parameter multilingual sequence-to-sequence teacher model.

Baidu launched an ERNIE-powered AI art and creative-generation service.

Hugging Face released Transformer Reinforcement Learning tooling for post-training language models with supervised, preference, and reinforcement-learning methods.

Aravind Srinivas, Denis Yarats, Johnny Ho and Andy Konwinski founded Perplexity in San Francisco.

The AlphaFold database expands to predicted structures for nearly every catalogued protein known to science.

Midjourney released V3 as the default image model.

Baidu unveiled its sixth-generation purpose-built autonomous vehicle.

Hugging Face launched Diffusers, an open-source library providing modular pipelines for diffusion-based generative models.

Meta introduced Make-A-Scene, a multimodal generative method that gives creators scene-level control over images.

Midjourney opened its image-generation service to the public through its Discord bot.

The BigScience workshop released BLOOM, a 176-billion-parameter multilingual language model trained on the Jean Zay supercomputer.

Meta released NLLB-200, a machine-translation model covering 200 languages.

AWS introduced its generative-AI coding companion in preview.

Amazon unveiled its first fully autonomous mobile robot for safely operating around employees.

Microsoft publishes the second version of its Responsible AI Standard and supporting transparency materials.

GitHub Copilot becomes generally available to individual developers as a subscription product.

The Cerner acquisition became the foundation for Oracle Health's clinical and data-intelligence AI portfolio.

Oracle completed its acquisition of Cerner to create a major health technology and clinical-data business.

Hugging Face launched Evaluate as a unified framework for model and dataset evaluation.

Microsoft releases the Responsible AI Dashboard, combining fairness, interpretability, error analysis and causal tools in one interface.

Google Research introduces Imagen, a text-to-image diffusion model emphasizing photorealism and language understanding.

Hugging Face raised $100 million in Series C funding led by Lux Capital at a reported $2 billion post-money valuation.

Meta released the Open Pretrained Transformer family and provided OPT-175B access to researchers.

Baidu released an inference and deployment toolkit for AI models.

Anthropic raised $580 million to build steerable, interpretable, and robust AI systems and expand its research infrastructure.

Modal raised $7 million in seed financing to build its serverless cloud platform.

OpenAI introduced DALL-E 2 with higher-resolution image generation and editing capabilities.

IBM introduced z16 with Telum-powered real-time AI inference for mission-critical transactions.

Google Research introduces the 540-billion-parameter Pathways Language Model and reports strong few-shot performance across hundreds of tasks.

Midjourney released its second-generation image model.

NVIDIA expanded TAO Toolkit integration for fine-tuning and optimizing pretrained production AI models.

NVIDIA made its end-to-end GPU-accelerated recommender AI framework generally available.

NVIDIA made its multilingual speech AI SDK generally available.

NVIDIA announced its fourth-generation DGX system powered by eight H100 GPUs.

NVIDIA launched Jetson AGX Orin for next-generation robotics and autonomous machines.

NVIDIA announced the Grace Hopper Superchip, pairing a Grace CPU with a Hopper GPU using coherent memory.

NVIDIA announced the Hopper architecture and H100 GPU with a Transformer Engine for large AI models.

Microsoft completes its acquisition of Nuance, adding clinical speech recognition, ambient intelligence and conversational AI to its portfolio.

Hugging Face introduced browser previews and automatic processing for datasets hosted on the Hub.

Hugging Face introduced SafeTensors as a fast tensor serialization format designed to avoid arbitrary-code execution.

Cohere raised $125 million in a Series B led by Tiger Global to expand its enterprise language-model platform.

Midjourney released its first public text-to-image model.

Scale expanded its data engine beyond perception data into expert demonstrations, preference feedback, red teaming, and reinforcement learning from human feedback for language models.

OpenAI introduced instruction-following models trained with human feedback.

Meta open-sourced TorchRec, a PyTorch library for large-scale recommendation systems.

OpenAI released a new endpoint and model families for text and code embeddings.

The U.S. government awarded Scale a contract vehicle worth up to $249 million to make its AI data and development capabilities available across federal agencies.

Meta announced the AI Research SuperCluster, a large AI supercomputer designed to train advanced models.

IBM agreed to sell healthcare data and analytics assets from Watson Health to Francisco Partners.

Suno was founded to make music creation accessible through generative AI.

Runway established its production initiative for films and creative projects using generative AI.

Hivemind autonomously piloted an F-16-class aircraft in testing.

Winston Weinberg and Gabriel Pereyra founded Harvey to build domain-specific generative AI for legal and professional services.

ElevenLabs' first financing valued the company at $9 million.

Mati Staniszewski and Piotr Dabkowski founded ElevenLabs to build human-like synthetic speech.

Michael Truell, Sualeh Asif, Arvid Lunnemark, and Aman Sanger founded Anysphere to build an AI-native programming environment.

Palantir introduced FedStart to help software vendors reach government customers through accredited infrastructure and deployment support.

Cohere began offering enterprise model deployment within customer-controlled cloud and on-premises environments.

Cohere introduced its Embed model family for semantic representation and retrieval.

Cohere launched a free educational curriculum covering large language models, embeddings and semantic search.

Cohere established its open-science research initiative, now known as Cohere Labs, to support collaborative machine-learning research.

Hugging Face acquired Gradio, bringing its open-source interface framework and team into the company while keeping the project open source.

Palantir unveiled MetaConstellation, a satellite-tasking and geospatial intelligence capability that coordinates space-based data with AI.

AWS introduced a no-code visual interface for generating machine-learning predictions.

Microsoft releases DeBERTa V3 with replaced-token detection and gradient-disentangled embedding sharing.

Oracle released managed time-series forecasting for business and operational signals.

Oracle released managed multivariate time-series anomaly detection.