Releases

Google releases Gemma 2, led by a 27B model with improved performance and efficiency.

Oracle expanded HeatWave from analytics and AutoML into an integrated generative-AI platform.

Oracle released automated in-database vector creation, storage and retrieval for HeatWave.

Oracle released in-database LLMs, automated vector storage and natural-language chat in HeatWave.

Hugging Face refreshed the Open LLM Leaderboard with a harder, contamination-resistant suite and new scoring methodology.

Anthropic expanded Claude availability for US government and intelligence-community customers through AWS.

EvolutionaryScale, founded by former Meta researchers, released ESM-3, a generative protein model originating from Meta's ESM program.

Anthropic launched Projects for organizing chats, knowledge, and collaboration around sustained work.

Major record labels filed copyright litigation concerning Suno's training practices.

Investigations alleged that Perplexity accessed publisher content despite robots.txt restrictions; Perplexity disputed aspects of the reporting.

Anthropic introduced Artifacts, a side-by-side workspace for creating and iterating on Claude-generated content.

Anthropic released Claude 3.5 Sonnet with stronger reasoning, coding, writing, and vision performance.

Midjourney expanded shared creation rooms and room visibility on the web.

The first Copilot+ PCs become generally available from Microsoft and hardware partners.

Runway released Gen-3 Alpha with improved fidelity, motion, consistency, and controls.

DeepSeek released 16B and 236B mixture-of-experts coding models with 128K context.

DeepSeek upgraded its coding API to the Coder V2 generation.

Microsoft releases Florence-2, a unified prompt-based vision model for captioning, grounding, detection and segmentation.

Hugging Face acquired Argilla, an open-source platform for human and synthetic data curation and model feedback.

Microsoft changes Recall from broad Copilot+ PC availability to a Windows Insider preview while strengthening security and privacy protections.

Databricks introduced Apps for building and deploying secure data and AI applications directly on the platform.

Databricks introduced AI/BI, pairing AI-assisted dashboards with Genie conversational analytics built on a compound AI system.

Databricks introduced MLflow Tracing for end-to-end observability and debugging of generative-AI applications and agents.

Databricks launched a framework for authoring, evaluating, deploying and monitoring production-quality compound AI systems.

Oracle and Google Cloud announced Database@Google Cloud and integration paths to Vertex AI and Gemini.