machine-learning.
73 writings found
Page 3
SilverTorch and the Death of the Recommendation Microservice
Meta's new Index-as-Model paradigm replaces microservice retrieval with a single PyTorch neural network, and the implications for AI developers are massive.
SilverTorch: How Meta Rewrote the Rules of Recommendation Systems
Meta's radical shift from microservices to a unified neural network transforms retrieval at scale.
The Uncomfortable Truth About Training Physical AI: Free Cleaning in Exchange for Robot Training Data
Startups are paying people for home cleaning footage to train robots, creating a new data economy around domestic labor.
The AI-Powered Developer Revolution: What It Really Means for Your Career
Exploring how AI code generation and RAG are reshaping development workflows and what it means for developers.
Why Google's AI Still Can't Spell 'Strawberry' Right
The search giant's latest AI errors expose a fundamental flaw in how LLMs process text
The Hidden Complexity Behind Meta's Friend Bubbles
A deeper look at why seemingly simple features demand the deepest engineering work
When Simple Features Hide Complex Engineering: Lessons from Meta's Friend Bubbles
Exploring the hidden complexity behind Meta's Friend Bubbles feature and what it reveals about modern social platform engineering.
Why Simple Features Break Engineering: Lessons from Meta's Friend Bubbles
Friend Bubbles seemed straightforward, but required deep ML work. What this teaches us about 'simple' features in production systems.
Facebook's Search Problem: Why Keywords Can't Find Cupcakes
Meta rebuilt Facebook Groups search from scratch, blending dense embeddings with inverted indices. Here's why that matters for community search.
Google Photos' AI Wardrobe: Why Your Closet Doesn't Need Machine Learning
Google's new AI-powered digital closet feature sounds impressive, but the technical reality reveals deeper questions about consumer AI applications.
Project Maven: How AI Turned War Into a Database Query
The military's AI targeting system can now hit 5,000 targets daily. We should talk about what happens when warfare moves at database speed.
Facebook's Hybrid Search: When Keywords Meet Neural Embeddings
Meta rebuilt Facebook Groups search by merging traditional keyword matching with dense vector embeddings, then used Llama 3 to validate the results at scale.
Facebook's Hybrid Search: When Keyword Matching Isn't Enough Anymore
Meta's Groups search now blends lexical precision with semantic understanding. Here's why traditional keyword matching is dying and what comes next.
Facebook's Hybrid Search: When Keyword Matching Meets Neural Understanding
Meta rebuilt Facebook Groups search by blending traditional inverted indices with dense embeddings, then used Llama 3 to grade results at scale.
Sony's Ace Robot Is Beating Professional Table Tennis Players, and That's Actually Harder Than Beating Humans at Chess
Sony's AI-powered Ace robot defeats pro table tennis players using 12 cameras and 8 joints. Why physical games are harder for AI than Chess or Go.