Releases

Mistral AI released Mistral 7B, its first open-weight language model, under the Apache 2.0 license.

Meta and EssilorLuxottica launched the second-generation Ray-Ban Meta smart glasses with voice and AI capabilities.

Meta introduced Emu as the image-generation technology powering new generative AI experiences.

Meta introduced Meta AI, a conversational assistant for WhatsApp, Messenger and Instagram.

Microsoft begins rolling out Copilot in Windows as part of a Windows 11 feature update.

Amazon agreed to invest up to $4 billion in Anthropic, with AWS becoming Anthropic's primary cloud provider and Trainium and Inferentia used for model development.

Amazon made an initial $1.25 billion investment in Anthropic under its broader commitment of up to $4 billion.

Amazon agreed to invest up to $4 billion and make AWS Anthropic's primary cloud provider for mission-critical workloads.

Microsoft announces a unified Microsoft Copilot experience across Windows, web, Edge and Microsoft 365.

Oracle began embedding generative-AI capabilities into Fusion Cloud application workflows.

Oracle introduced large RDMA-connected NVIDIA GPU clusters for distributed model training.

Google DeepMind publishes AlphaMissense predictions for the effects of millions of human missense variants.

Anthropic disclosed its Long-Term Benefit Trust governance structure, designed to protect the public-benefit mission as the company scales.

Anthropic published its first Responsible Scaling Policy, introducing AI Safety Levels and deployment safeguards tied to model capability.

Oracle announced a voice-first generative-AI assistant for clinical documentation and workflows.

Databricks raised more than $500 million in Series I financing at a $43 billion valuation.

Anthropic and Boston Consulting Group partnered to help enterprise clients deploy Claude responsibly.

Microsoft Research releases Phi-1.5, a compact language model trained primarily on synthetic textbook-quality data.

Anthropic launched Claude Pro, a paid individual subscription with higher usage limits and priority access.

Baidu launched tools for fine-tuning and managing custom enterprise foundation models.

Baidu launched low-code tools for building enterprise generative-AI applications.

Baidu opened ERNIE Bot broadly after completing required generative-AI filings.

Google DeepMind and Google Cloud introduce SynthID for imperceptibly watermarking and identifying AI-generated images.

OpenAI launched ChatGPT Enterprise with enterprise security, privacy, administration, and higher-capacity access.

OpenAI named Scale a preferred partner for enterprise fine-tuning of GPT-3.5, combining Scale’s data engine with OpenAI models.

Hugging Face released Candle, a minimalist Rust framework for fast and portable machine learning.

Hugging Face raised $235 million in a Series D led by Salesforce Ventures at a $4.5 billion post-money valuation, with participation from major cloud and semiconductor companies.

Meta released code-specialized Llama models for generation, completion and instruction following.

ElevenLabs released Multilingual v2 for nearly 30 languages and moved its platform out of beta.

Hugging Face released IDEFICS, an 80B open-access visual-language model supporting sequences of images and text.

Meta released SeamlessM4T for multilingual speech-to-speech, speech-to-text, text-to-speech and text translation.

xAI completed Grok-0, a 33-billion-parameter research prototype that preceded the first public Grok model.

SK Telecom invested an additional $100 million in Anthropic and formed a partnership to build a multilingual model for telecommunications.

Scale provided evaluation infrastructure for the White House-supported Generative Red Team Challenge at DEF CON 31, testing frontier models with thousands of participants.

Hugging Face launched managed training and deployment offerings in AWS Marketplace, simplifying enterprise procurement and use on AWS.

Anthropic released Claude Instant 1.2 through its API with gains in reasoning, coding, multilingual performance, and safety.

NVIDIA and Hugging Face announced a partnership to connect Hub developers with NVIDIA DGX Cloud for training and tuning generative AI models.

NVIDIA expanded Omniverse with generative AI tools and deeper OpenUSD workflows for industrial digitalization.

NVIDIA introduced the L40S data-center GPU for generative AI, inference, training and graphics workloads.

NVIDIA introduced AI Workbench for creating and moving generative AI projects across local, data-center and cloud systems.

CoreWeave closed a $2.3 billion debt financing led by Magnetar and Blackstone to purchase hardware for contracted AI workloads.

Meta released AudioCraft with MusicGen, AudioGen and EnCodec components for generative audio research.

Midjourney expanded community exploration and discovery of generated images.

Scale introduced an expert-driven testing and evaluation platform for measuring frontier-model capability, safety, bias, and robustness.

Hugging Face introduced Collections for curating and sharing related models, datasets, Spaces, and papers.

AWS introduced managed agents that orchestrate foundation models, enterprise data and API actions.

AWS introduced a generative-AI service for transcribing clinical conversations and drafting preliminary clinical notes.

Microsoft, Anthropic, Google and OpenAI establish the Frontier Model Forum to advance frontier-AI safety research, standards and responsible development.

Anthropic, Google, Microsoft, and OpenAI founded the Frontier Model Forum to advance frontier AI safety research and standards.

Databricks completed its acquisition of MosaicML, adding foundation-model training, inference, research and open models to its AI platform.