What’s Cooking

DeepMindBlog1d

Developing Gemini 4 Argon responsibly and safely

AirbnbBlog1d

CASTLE: training natural language search before the first real query

MetaBlog1d

Meta’s Generative Ads Model (GEM): Scaling the Central Model and Compute Engine for Frontier Ads AI

DeepMindBlog1d

Gemini 4 Argon: Built to solve your hardest problems

NVIDIABlog1d

NVIDIA Run:ai Is Now Open Source as Part of NVIDIA DSX AI Factory Platform

UberBlog1d

Ensuring Similar Computational Resources to Stateful Workloads Running on a Diverse Server Fleet

GitLabBlog1d

Scaling Git for the agentic software factory

PlanetScaleBlog1d

PlanetScale is now available on Azure

GoogleBlog1d

Optimizing a 200,000-line Python codebase overnight with Gemini 4 Argon- Google Developers Blog

GoogleBlog1d

Gemini 4 Argon for Robotics- Google Developers Blog

GitLabBlog1d

Scaling Git for agentic software engineering

GitLabBlog1d

Make every AI credit count: See, cap, and reduce agent spend

GitLabBlog1d

Introducing GitLab's agent orchestration for software development

ModalBlog1d

Toward RL on mixed-precision, mixed-accelerator samplers

LambdaBlog1d

Lambda to integrate open-source NVIDIA Run:ai with its Managed Kubernetes Service

AnthropicBlog1d

Strengthening our defenses against distillation attacks

AnthropicBlog1d

Redesigning source control at Anthropic

QdrantBlog1d

Perplexity's New Visual Retriever Has a Size Problem. We Fixed It.

MeilisearchBlog1d

RAG vs. MCP: Differences, use cases, and when to use each

TemporalBlog1d

Temporal and AWS: A partnership built for production-grade AI

AppleBlog1d

Mix, Don’t Tune: Bilingual Pre-Training Outperforms Hyperparameter Search in Data-Constrained Settings

StripeBlog1d

Run recurring jobs on Stripe without a cron server

MetaBlog1d

OCP Summit 2026: Powering AI with Open Innovations in Scale-Up, Scale-Out, and Scale-Across Networks

AnthropicBlog2d

AI models may be capable of self-replicating without access to a datacenter

You’re caught up

That’s every post that day.