Personalizing Airbnb search by learning from the guest journey
Transformer-based sequence model encodes years of guest behavior into long- and short-term histories to surface more relevant Airbnb listings with an efficient, setwise ranking approach.
Personalizing Airbnb search by learning from the guest journey
Transformer-based sequence modeling encodes years of guest history and recent views into unified embeddings to personalize Airbnb search, enabling efficient two-stage inference with a setwise ranker that improves bookings and views.
Google DeepMindIntroducing Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber
Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber advance scalable AI agents with improved token efficiency, lower latency, and enhanced multimodal and cybersecurity capabilities, enabling cost-effective, safe agentic workflows.
OpenAISafety and alignment in an era of long-horizon models
A practical examination of safety and alignment for long-horizon models, showing how limited, iterative deployment and trajectory-level monitoring uncover hidden failure modes and drive stronger safeguards.
OpenAISafety and alignment in an era of long-horizon models
Explores how long-horizon models require defense-in-depth safeguards, trajectory-level monitoring, and iterative deployment to balance autonomy with safety and alignment.
OpenAISafety and alignment in an era of long-horizon models
Iterative deployment combined with trajectory-level monitoring demonstrates how to improve safety and alignment for long-horizon models by pausing, refining evaluations and safeguards, and increasing user visibility before expanding access.
SpotifyContent Ingestion & Podcast Video Incident Report
An in-depth technical exploration of Spotify's Content Ingestion and Podcast Video Incident, detailing root causes, fixes, and reliability improvements to prevent publication delays and scale for burst traffic.
SpotifyContent Ingestion & Podcast Video Incident Report
Technical post analyzing Spotify's podcast video incident on June 24, detailing transcoding capacity constraints, backlog management, and reliability improvements to the publishing pipeline.
Lambda LabsOne photo in. A full 3D scene out.
PixARMesh delivers a tokenized, autoregressive, mesh-native solution for single-image 3D scene reconstruction, producing editable, artist-ready meshes directly from a single photograph without relying on implicit fields or multi-stage pipelines.
Lambda LabsOne photo in. A full 3D scene out.
PixARMesh introduces autoregressive, mesh-native single-image 3D scene reconstruction that tokenizes the image, pose, and mesh into a single sequence to directly output editable meshes from one photo, avoiding implicit representations and multi-stage pipelines.
DropboxHow our universal content processing platform Riviera evolved for AI and beyond
Riviera evolved from a single-preview service into a scalable, plugin-driven content transformation platform that powers Dropbox products and enables external developers to build AI-enabled workflows via APIs and Model Context Protocol.
OpenAIA scorecard for the AI age
Practical framework for CFOs to measure AI value by translating completed work into Useful Intelligence per Dollar, balancing cost per task, dependability, and scale across tiered models.