Artículo

Slack AI: The Path to Multi-Cloud

In early 2023, Slack faced a foundational challenge: serving Large Language Models (LLMs) at enterprise scale with the security, reliability, and performance our customers expect. Over three years, we evolved from basic infrastructure to orchestrating a sophisticated multi-cloud architecture. We didn’t just want shiny new models; we needed a system resilient to regional outages and…

Slack Engineering · EN

Agentic Testing: Where Agents Fit in the E2E Testing Stack

Abstract Agent-driven end-to-end (E2E) tests add a new exploratory layer to testing, but should they replace traditional deterministic tests? We ran more than 200 agentic E2E workflows using the Playwright MCP, Playwright CLI, and agent-generated Playwright tests in test workspaces using non-production data to find out how agentic testing could fit into both our and…

Slack Engineering · EN

Shipyard: How We Built Slack’s Next-Generation EC2 Platform

Over the past few years, we’ve been on a journey to modernise how we run Amazon Elastic Compute Cloud (EC2) instances at Slack. In our first post, Advancing Our Chef Infrastructure, we shared how we moved from a single Chef stack to a resilient, multi-stack setup with versioned cookbook deployments and safer promotion workflows. This…

Slack Engineering · EN

May 15, 2026

In this issue: Defense in Depth, Medieval Style Human Trust of AI Agents Mythos and Cybersecurity Is "Satoshi Nakamoto" Really Adam Back? Mexican Surveillance Company ICE Uses Graphite Spyware FBI Extracts Deleted Signal Messages from iPhone Notification Database Hiding Bluetooth Trackers in Mail Medieval Encrypted Letter Decoded What Anthropic’s Mythos Means for the Future of Cybersecurity Claude Mythos Has Found 271 Zero-Days in Firefox Fast16 Malware A Ransomware Negotiator Was Working for a Ransomware Gang Hacking Polymarket DarkSword Malware Rowhammer Attack Against NVIDIA Chips Smart Gla

Bruce Schneier Crypto-Gram · EN

June 15, 2026

In this issue: Bypassing On-Camera Age-Verification Checks Zero-Day Exploit Against Windows BitLocker Laurie Anderson Is Quoting Me On AI Security macOS Kernel Memory Corruption Exploit CISA Security Leak Identifying People Using Wi-Fi Routers FBI’s 2025 Internet Crime Report Chilling Effects Vulnerability Disclosure in the Age of AI Microsoft Threatening Security Researcher The Intersection of Encryption and AI AI Used to Decrypt Medieval Ciphers Hacking Meta’s AI Chatbot AI Worm Anthropic’s Project Glasswing Update Critical Zcash Vulnerability Found and Fixed GPS As a Key Distribution Platfo

Bruce Schneier Crypto-Gram · EN

July 15, 2026

In this issue: The FCC Wants to Eliminate Burner Phones Flock Cameras Are Being Used for Stalking AI Use by the US Government Embedding Forbidden Text in Spyware to Discourage AI Analysis Anthropic’s Fable and the State of AI Professional Athletes and Wearables Anthropic’s Fable 5 Model Jailbroken Within Days Interesting Paper Exploring Prompt Injection AI and Liability One Million Passports Leaked Online Meta Is Testing Facial Recognition for Police and Military Robot Police Officers Factoring RSA Keys with Many Zeros The Realities of AI Video Surveillance Papa Johns Surveillance-Based Advert

Bruce Schneier Crypto-Gram · EN

August 15, 2026

In this issue: A Video Screen That Is Also a Camera Protecting Privacy in an AI Era Details of Alan Turing’s Voice Encryption System On Flock License Plate Tracking Cameras MIT to Become Hotbed of AI Video Surveillance First-Person Identity Theft Story End-to-End Encryption and "Going Dark" Why AI Needs a “Genie Coefficient” Cognyte Sells a Mobile Cell Surveillance Van Axon Is Another License Plate Surveillance Company Measuring LLMs' Ability to Perform Cryptanalysis Long-Lived Vulnerability in Microsoft Secure Boot Measuring the Tendency of AI Agents to Go Rogue Should You Use AI for a Task?

Bruce Schneier Crypto-Gram · EN

September 15, 2026

In this issue: Hacking Public Wi-Fi DNS to Steal Credentials LLMs and Contextual Integrity ICE Collecting DNA Samples Police Are Hiding Their Use of Flock Surveillance Cameras Detailed Timeline of OpenAI’s Cyberattack on Hugging Face More Incidents of AIs Going Rogue in Cybersecurity Challenges AI Is Learning to Write Genetic Code Criminal Deception in Silicon Valley Black Hat State of Security Vendors Spyware for Babies LLM-Based Social Engineering Scams AI Doesn’t Mean the End of Mathematics—at Least Not Yet Hiding Prompt Injection in Legal Filing Is Someone Hacking DoD Refrigerators? Rewiri

Bruce Schneier Crypto-Gram · EN

October 15, 2026

In this issue: Fake CAPTCHA Scams How Candidates Could Use AI for Good Are AIs Still Struggling with CAPTCHAs? Reverse-Engineering Flock Cameras GPT-6 Astra Breaks an Old Enigma Message Research on Models Engaging in Genie-Like Behavior Malicious npm Packages That Evade Defenses On Anthropic’s AI Misuse Report New Attack Against RSA Using Device Linking to Eavesdrop on WhatsApp and Signal I Want Better Reporting on AI Genie Behavior Connected Cars Are a Surveillance Platform How American Political Campaigns Are Using AI—and What They’re Spending on the Tools Unidentified Flock Cameras in Flori

Bruce Schneier Crypto-Gram · EN

How we detect frontier model misalignment

OpenAI uses layered monitoring to detect frontier model misalignment and unauthorized agent behavior so responders can intervene before incidents escalate.

OpenAI Blog · EN

An updated Model Spec for more capable and beneficial AI

OpenAI’s updated Model Spec outlines five core values to guide more capable AI toward sound judgment, human agency, and faithfulness to human intent.

OpenAI Blog · EN

Fair use benefits everyone

OpenAI shares excerpts from court briefs by creators, academics, accessibility advocates, and legal experts, among others, on how fair use supports AI training and innovation.

OpenAI Blog · EN

Community safety report and new protections for teens

OpenAI is strengthening violence prevention in ChatGPT with expanded safeguards, earlier interventions, and a new commitment to public safety reporting.

OpenAI Blog · EN

Making it easier for websites to express AI training preferences

OpenAI will honor a shared robots.txt signal to help website operators communicate their AI training preferences to participating providers.

OpenAI Blog · EN

Qodo builds context into AI code review with Codex

Qodo brings company knowledge and coding standards into Codex, helping developers catch P0 issues across repositories before opening a pull request.

OpenAI Blog · EN

LifeVal

Introducing LifeVal, a benchmark measuring how well AI helps people complete everyday tasks, from finding childcare to managing finances and government paperwork.

OpenAI Blog · EN

Introducing the Grid Protectors Program

OpenAI’s Grid Protectors Program will work with utilities to help future compute campuses support grid reliability and protect consumer electricity costs.

OpenAI Blog · EN

Inside Prometheus: Meta’s Journey to a Gigawatt-Scale Supercluster

With the recent release of the Muse family of foundational models, we want to take you inside the infrastructure that has made it all possible. The first phase of Prometheus, our gigawatt-scale supercluster, is already complete and we’re working toward scaling it to comprise ~1 million GPUs. Prometheus also features technologies like closed-loop liquid cooling [...] Read More... The post Inside Prometheus: Meta’s Journey to a Gigawatt-Scale Supercluster appeared first on Engineering at Meta .

Meta Engineering · EN

The Thin Orchestrator: How We Made Our AI Agents More Reliable by Giving the Router Less to Do

Sometimes, giving an AI agent all of the knowledge it needs is the wrong approach. At Meta, we’ve seen notable improvements in efficiency and accuracy by keeping the orchestration layer of our data pipeline agents deliberately thin: It routes work and enforces reliability checks, while specialized agents do the domain reasoning. We’re sharing our own [...] Read More... The post The Thin Orchestrator: How We Made Our AI Agents More Reliable by Giving the Router Less to Do appeared first on Engineering at Meta .

Meta Engineering · EN

GenRecs Tokenization: Transforming Ads Recommendation at Meta with Stable Model Vocabulary

Generative Recommenders (GenRecs) represent a paradigm shift from scoring every ad to reasoning about ad content and user preferences together in order to predict the best outcome for advertisers. Leveraging the world knowledge built into LLMs makes ad matching more intelligent and precise, compounding gains for advertisers. GenRecs Tokenization is the foundational data representation that [...] Read More... The post GenRecs Tokenization: Transforming Ads Recommendation at Meta with Stable Model Vocabulary appeared first on Engineering at Meta .

Meta Engineering · EN

Meta Networking at the 2026 OCP Global Summit: Open Innovation for Scale-Up, Scale-Out, and Scale-Across AI Networks

At the 2026 Open Compute Project (OCP) Global Summit, Meta shared the networking innovations that are directly supporting our latest AI models, including Muse Wonder and Muse Spark, and our gigawatt-scale Prometheus cluster. Highlights IcePack & IceCube: Meta’s first liquid-cooled network rack with 102.4T switch blades (128×800G, Broadcom Tomahawk 6C and NVIDIA Spectrum-6 variants), running [...] Read More... The post Meta Networking at the 2026 OCP Global Summit: Open Innovation for Scale-Up, Scale-Out, and Scale-Across AI Networks appeared first on Engineering at Meta .

Meta Engineering · EN

Python Typing Survey 2026: AI Tools and the Shifting Checker Landscape

The 2026 Python Typing Survey received 1,794 responses. Type hint use changed little across three years, but checker selection changed sharply. Among respondents who reported which checkers they use, half selected more than one, and missing library type information was the most common difficulty. For the third consecutive year, we asked Python developers how they [...] Read More... The post Python Typing Survey 2026: AI Tools and the Shifting Checker Landscape appeared first on Engineering at Meta .

Meta Engineering · EN

PrivacyLib: Privacy Controls at the Data Access Boundary

This latest deep dive into Meta’s Privacy Aware Infrastructure (PAI) takes a look at PrivacyLib. A privacy requirement must hold as data moves through Meta’s diverse data and processing systems. Historically, supporting a new requirement meant implementing the same enforcement logic separately in each system. PrivacyLib replaces this with a common library that runs inside [...] Read More... The post PrivacyLib: Privacy Controls at the Data Access Boundary appeared first on Engineering at Meta .

Meta Engineering · EN

Meta Andromeda: Powering the Next Generation of Ads Retrieval Through Model-System Co-Design

This post describes the next generation of Meta Andromeda, Meta’s personalized ads retrieval engine, and how co-designing the model, system, and GPU hardware unlocks a new efficiency frontier for ads retrieval. In production, the system scores every eligible ad with near ranking-level model performance at retrieval scale and surfaces the top candidates at over one [...] Read More... The post Meta Andromeda: Powering the Next Generation of Ads Retrieval Through Model-System Co-Design appeared first on Engineering at Meta .

Meta Engineering · EN