AI Psychosis
"Career coaches" are fear-farming the Stanford AI hiring study [debunk]
Computed goto for efficient dispatch tables
Better Graph Database Ball
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How I made HedgeDB faster than RocksDB: Memtable, WALs and flushes
Hello guys, A few days ago I shared my HedgeDB and I've been asked how come I measured it to go that faster (3-5x, but depending on the hardware can go quite further) than RocksDB To begin with, I spent some time preparing an article focusing on the synchronous section of the write path: Deep dive into the Write Path: from the Memtable to Level 0 In summary, the key take-aways are: Integrating a fast concurrent map implementation Using per-thread write-ahead-log files Fast synchronization an...
Bootimus – A Self-Contained PXE and HTTP Boot Server
Formal Methods
Human Judgment as a Specification
Memory and Hardware
16-year-old SATA II SSD survives 1 petabyte of writes, 25x the drive's rating
CSSQuake
Blockchain
UK's top data and AI regulator quits after 'inappropriate' humour
Functional Programming
Mental causation is not load-bearing
Amazon
Jeff Bezos says human water consumption is limiting AI's potential
Meet Alice. Alice is impatient
Meta AI
LLMs Are Complicated Now
AR and VR
Snap Smart Glasses
Space Tech
Satellite reveals immense scale of GPS signal tampering
Artificial Intelligence
The discovery that changed how scientists think about memory – IBM
Safe SIMD in Rust, even on the inside
Data Compression Explained
XLibre XServer 25.2.0 Released
Cirrus: ATProto Personal Data Server That Runs on Cloudflare Workers
LLM Evaluation
We built a lab to evaluate data agents – Hex
AGI and AI Safety
I solved my mystery fatigue with AI
AI Psychosis
A Love Story
PostgreSQL
Christophe Pettus: All Your GUCs in a Row: dynamic_shared_memory_type
Parallel queries in PostgreSQL need shared memory sized at runtime, not startup.
LLM Evaluation
I am dreading our LLM-written incident report future
Exploit Development
Aikido Code Audit
Robotics
He made your free video player run smoothly. Now he’s doing that for robots.
Software Engineering
Hey, N00B, We Didn't Hire You to Complete Tasks
GPT-5.5 hallucinates 3x more than MIT-licensed GLM-5.2
Computer Vision
VMAF v1: Good Is Not Good Enough
By Christos G. Bampis, Zhi Li, Kyle Swanson, Nil Fons Miret and Pavan MadhusudanaraoWill this encode look good to Netflix members? Does switching to a new codec improve quality at the same bitrate and by how much? What is the best way to encode a movie title given a target bitrate budget? For years, VMAF has reliably helped us answer those questions and deliver an optimized quality of experience to our members.But good is not good enough. If VMAF misjudges quality, that may lead to loss of d...
LLM Evaluation
A Human-Augmenting Agentic Workflow for Causal Inference
By Winston Chou, Adrien Alexandre, Lars Olds, Yi Zhang, Garrett Hagemann, and Nathan KallusIntroductionImagine asking a data agent to analyze the causal relationship between two variables, such as the effect of watching a popular Netflix show on long-term member retention. It queries your data, runs a regression, and confidently returns an answer. How much should you trust it? Can you be confident that the agent accounted for subtle biases — or does it treat passionate fans as if they ...
Artificial Intelligence
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 to more challenging mental activities requiring deliberate focus. This dual-process theory has profound implications not just for understanding human behavior, but for designing intelligent s...
Spark
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 organizations to fulfill their specific requirements. Over the last few years, the Data Movement team has started centralizing these offerings through an abstraction that provides a catalog of connect...
Netflix
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 presented at the Summit highlighting the breadth and impact of Analytics work across different areas of the business.Understanding Risk in Content LaunchesEvery title you see on Netflix goes throu...
Netflix
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 these assets sits an engineer, a team, or an initiative — and behind each of those sits a set of decisions about who can access what, and how those workloads execute day after day.For years,...
Netflix
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. This canary detects issues in under 10 minutes, and blocks bad data from reaching our members.IntroCatalog metadata is what makes Netflix functional. It defines what titles exist, where they’r...
Compilers
My 1992 view of the problems of computer programming in 1992
A Perceptron in Age of Empires II
X / Twitter
Americans express unease over SpaceX's influence on retirement savings
Defense Tech
Encryption, spyware, and now Mythos: History shows why cyber export control doesn’t work
Google workspace threatening to block Firefox access
Think of the Children: How to Force Real ID for All Internet Traffic (2023)
AURpocalypse now: a look at the recent AUR attacks
Hide Secrets from AI Agents and NPM install using Airgap
Surprising Economics of Load-Balanced Systems
LLM Evaluation
MiniMax M3 vs. GLM 5.2: Codegen comparison across autonomous coding tasks
Privacy
The UK's New Under-16 Social Media Ban Will Cause More Harm Than It Prevents
Zenzizenzizenzic
Uber
Go eyes robotaxis and acquisitions after Japan’s biggest IPO of 2026. Here’s why it matters
Exploit Development
APT28, an Evolution of Tradecraft
DNS
From a 7 KB file to a 13-year backdoor operation
Agentic Commerce and Payments
One AI, two AI, red AI, blue AI
Performance Engineering
Show HN: Continuous Nvidia CUDA PC Sampling Profiler
A Wake-Up Call for Kernel-Bypass on Modern Hardware
Amazon
'We created a monster': companies rein in AI usage as costs strain budgets
ClickHouse
Building high-performance full-text search for object storage
Google DeepMind
John Jumper leaves Google to join Anthropic
Anthropic
Is AI ruining our skills? Early results are in – and they're not good
Microsoft
Windows 11 update broke the Recycle Bin, OneDrive, and your PC's stability
Software Engineering
Agentic Coding Is a Trap
DuckDB
Better Graph Database Ball
Anthropic
Anthropic "pauses" token-based billing for its Claude Agent SDK
Mathematics
Mary Somerville: The Woman for Whom the Word "Scientist" Was Coined (2016)
Spotify
Spotify Killed the Thrill of the Hunt
Google DeepMind
John Jumper(AlphaFold Nobel Laureate) Joins Anthropic
Show HN: Pagecast – Publish Markdown/HTML Reports to Cloudflare Pages
Robotics
Hyundai buys Boston Dynamics, Atlas humanoid to be used at vehicle plant by 2028
There Are No Instances in ATProto
System Design
Why Do So Many Everyday Systems Feel Harder to Use Now?
Amazon
Behind the Blog: Landfillcore and Go Knicks
This week, we discuss questionable analysis, mysterious parcels, and the Knicks (sorta).
ztags: ctags but for zig
Authentication
The Future of the Con Is Here, It's Just Not Evenly Distributed
xAI
Billionaire Ambani wants AI in every call, app, and home
Ranja: Enabling Smart Caches for Distributed Database Serving Layers
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AI Psychosis
Tired of Performing Masculinity
Changes/UseKmsconVTConsole
AI Coding Tools
Linux Maintainer Greg Kroah-Hartman Says AI Tools Now Useful, Finding Real Bugs
AI Agents
Dispatches from O'Reilly: From capabilities to responsibilities
Designing contract-bound AI agents for high-stakes execution.�...
Cloudflare
Temporary Cloudflare Accounts for AI agents
The moment an agent needs to deploy something, it slams face-first into a wall built for humans. Today we're rolling out Temporary Accounts on Cloudflare Workers. Any agent can now run wrangler deploy — temporary and get a live Worker in seconds.