7 Crucial Barriers Between Data Teams and Self-Healing Data Architecture
What data teams need to build with AI to make self-healing data architecture a practical reality
The post 7 Crucial Barriers Between Data Teams and Self-Healing Data Architecture appeared first on Towards Data Science.
The Data Canary: How Netflix Validates Catalog Metadata
By Celina AmadosAt Netflix, our catalog metadata is crucial to our member experience, and a single corrupted data state can impact millions of viewers immediately. To protect streaming reliability, we built an automated data canary system that validates data transformations using production traffic....
Data Projects: Managing Data Assets at Netflix Scale
By Amer Hesson, Marcelo Mayworm, James Mulcahy, and Brittany TruongThe Problem: Managing Assets at Netflix ScaleNetflix’s Data Platform is vast. We have millions of tables in our data warehouse and tens of thousands of scheduled workloads running across our orchestration systems. Behind each of thes...
Predicting Risk in Content Launches: How Data-Driven Insights can Transform Launch Planning
by Emily GillEach year, we bring the Analytics Engineering community together for an Analytics Summit — a multi-day internal conference to share analytical deliverables across Netflix, discuss analytic practice, and build relationships within the community. This post is one of several topics present...
The Evolution of Cassandra Data Movement at Netflix
By Guil Pires, Jennifer Prince, Jose Camacho, Ken Kurzweil, Phanindra ChunduruBackgroundIn a previous post, we introduced Data Bridge, a unified management plane for batch Data Movement at Netflix. Historically, several bespoke Data Movement connectors were developed across different engineering org...
Thinking Fast & Slow for a Personalized Notification System
by Matthew Wood, Ishan Gupta, Kevin Mercurio, Devon Bryant, and Claire DormanIn his seminal book “Thinking, Fast and Slow,” Daniel Kahneman describes two systems that drive human cognition: System 1, which operates automatically and quickly with little effort, and System 2, which allocates attention...
NVIDIA AI Introduce SpatialClaw: A Training-Free Agent That Treats Code as the Action Interface for Spatial Reasoning
SpatialClaw is a training-free agent that writes Python in a persistent kernel, composing perception tools for 3D spatial reasoning
The post NVIDIA AI Introduce SpatialClaw: A Training-Free Agent That Treats Code as the Action Interface for Spatial Reasoning appeared first on MarkTechPost.
VibeThinker-3B: A 3B Dense Reasoning Model Built on Qwen2.5-Coder-3B With the Spectrum-to-Signal Post-Training Pipeline
VibeThinker-3B, a 3B MIT-licensed reasoning model matching DeepSeek V3.2 and Kimi K2.5 on verifiable benchmarks.
The post VibeThinker-3B: A 3B Dense Reasoning Model Built on Qwen2.5-Coder-3B With the Spectrum-to-Signal Post-Training Pipeline appeared first on MarkTechPost.
Is the US government’s Anthropic ban accidentally helping the brand?
Just as last week was ending, the US government forced Anthropic to pull its two newest models, Fable 5 and Mythos 5, citing national security concerns after Amazon researchers allegedly found a way to bypass Fable 5’s guardrails. Cybersecurity researchers have since signed an open letter calling t...
The US banned Anthropic’s Fable 5 release, but the numbers don’t seem to care
Just as last week was ending, the US government forced Anthropic to pull its two newest models, Fable 5 and Mythos 5, citing national security concerns after Amazon researchers allegedly found a way to bypass Fable 5’s guardrails. Cybersecurity researchers have since signed an open letter calling t...
From prediction to decision: Smaller models will reshape how we build AI
The bottleneck in AI systems isn't model intelligence anymore, but decision agility. Mallika Rao, engineering manager and former Netflix infrastructure lead, breaks down why smaller, task-specific models are outrunning foundational ones, and what that means for every team building at scale.
AI Quantum Intelligence - Pic of the week (2026-06-19)
An artistic, stylized scientific infographic depicting the first confirmed live observation of a colossal squid in the Southern Ocean. Features a mosaic and metallic textured squid surrounded by bioluminescent deep-sea life, nautical charts, and oceanographic diagrams in a vintage-modern fusion styl...
Parse Scanned PDFs for RAG with EasyOCR: Free OCR Gives You Words, Not a Document
Enterprise Document Intelligence [Vol.1 #5quinquies] - Same 1974 scanned PDF, two engines. EasyOCR recovers text. Docling recovers text + sections + figures. The structural gap makes one output usable downstream and the other one a flat string.
The post Parse Scanned PDFs for RAG with EasyOCR: Free ...
GPU-Resident Top-K for Agentic RAG: I Built a CUDA Kernel So My Retrieval Step Would Stop Bouncing Off the GPU
The PCIe transfer latency is silently bottlenecking your agentic inference. Here is how building a custom device-resident vector search kernel bypasses the CPU to unlock deterministic microsecond tail latencies.
The post GPU-Resident Top-K for Agentic RAG: I Built a CUDA Kernel So My Retrieval Step ...
A startup claims it broke through a bottleneck that’s holding back LLMs
Miami-based AI startup Subquadratic came out of stealth mode last month with a huge claim. It announced that it had solved a mathematical bottleneck that had been holding back large language models for almost a decade. The details were thin, and many people were unconvinced. But Subquadratic has sta...
Liquid AI Introduces LFM2.5-Embedding-350M and LFM2.5-ColBERT-350M: Dense Bi-Encoder and Late-Interaction Models for Fast Multilingual Search Across 11 Languages
Liquid AI's LFM2.5 Retrievers combine a dense bi-encoder and ColBERT late-interaction model for multilingual search on edge devices.
The post Liquid AI Introduces LFM2.5-Embedding-350M and LFM2.5-ColBERT-350M: Dense Bi-Encoder and Late-Interaction Models for Fast Multilingual Search Across 11 Langua...
Closing the Social-Semantic Gap: SPSD for Edge-Based Prompt Compression in Cloud LLM Inference
arXiv:2606.19364v1 Announce Type: new
Abstract: The prefill stage of Large Language Model (LLM) inference is a growing contributor to cloud-scale energy cost. Many consumer-support and conversational prompts contain social scaffolding: politeness markers, apologetic preamble, repetition, and rappor...
Performance Analysis and Optimization of 3D Generative Diffusion Models across GPU Architectures
arXiv:2606.19365v1 Announce Type: new
Abstract: Diffusion models have become essential for high-fidelity 3D MRI synthesis, yet their deployment remains constrained by substantial GPU resource demands arising from hundreds of U-Net evaluations per sample and a highly heterogeneous kernel behavior. T...
Information Lattice Learning as Probabilistic Graphical Model Structure Learning
arXiv:2606.19366v1 Announce Type: new
Abstract: Information lattice learning (ILL) learns interpretable rules of a signal by alternately projecting the signal onto a partition lattice that encodes a hierarchy of abstractions and lifting selected rules back to the signal domain. When the signal is a...