machine-learning.
78 writings found
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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.
Spotify's AI Playlist Generator Now Handles Podcasts, and It's Actually Useful
Spotify extends Prompted Playlists to podcasts. I tested the AI-powered discovery tool and found it surprisingly competent at solving podcast overload.
Meta's KernelEvolve: When AI Writes Its Own Performance Code
Meta's KernelEvolve system uses AI agents to automatically optimize low-level hardware kernels, achieving 60% performance gains in hours instead of weeks.
Meta's Adaptive Ranking Model: The Real Cost of Serving Trillion-Parameter Ads
Meta scaled ads recommendations to LLM complexity while keeping latency under a second. Here's why their inference trilemma solution matters beyond advertising.
Why Your AI Benchmark Is Probably Wrong: The N,K Trade-off
Google Research reveals why using 3-5 human raters per item isn't enough for reproducible AI evaluation. The depth vs breadth problem explained.
Meta's AI is Reshoring American Concrete, One Mix at a Time
How Bayesian optimization is helping U.S. concrete producers ditch imported cement and redesign mixes in days instead of months.
Suno v5.5: AI Music Generation Gets Personal with Voice Cloning and Custom Training
Suno's v5.5 update brings voice cloning, custom model training, and personalization. A look at what this means for creators and the music industry.
How Facebook Built Friend Bubbles: A Deep Dive into Social ML Architecture
Meta's friend bubbles system combines closeness prediction models, ranking optimization, and performance engineering to surface friend-driven content at scale.
GitHub's New Data Policy: Your Code Becomes Training Data
GitHub will train AI models on Copilot Free, Pro, and Pro+ user data starting April 24. Here's what developers need to know about this industry shift.
Facebook's Friend Bubbles: When Social Graphs Meet Recommendation Systems
Meta's friend bubbles on Reels reveal how social signals and ML models can coexist in video recommendations without destroying performance.
Facebook's Friend Bubbles: A Masterclass in Social Graph ML
How Meta blends closeness prediction models, multi-task ranking, and prefetch optimization to surface friend-driven content at scale on Reels