Canonical faces sustained cyberattack taking down Ubuntu websites, Snap store, and Launchpad. APT repos mostly unaffected.

Meta launches Adaptive Ranking Model, enabling LLM-scale ad inference with sub-second latency. Early results show +3% conversion lift and +5% CTR on Instagram.

Meta's KernelEvolve AI agent automates chip kernel optimization, achieving up to 60% inference speedup across heterogeneous hardware, freeing engineers from weeks of manual work.

Meta's AI agent swarm mapped tribal knowledge in massive codebase, cutting agent errors 40%.

Meta’s configuration safety system uses canary rollouts and AI to reduce alert noise and catch regressions early, preventing outages at scale.

Meta escapes the WebRTC 'forking trap' by building a dual-stack architecture for A/B testing across 50+ use cases, enabling continuous upstream upgrades.

Meta publishes post-quantum cryptography migration blueprint after multi-year internal rollout, warns of 'store now, decrypt later' attacks and urges industry to act now.

Meta's new AI agent platform automates performance issue detection and fixes across hyperscale data centers, recovering hundreds of megawatts of power and compressing regression investigation from hours to minutes.

Facebook revolutionizes Groups Search with hybrid AI, tackling discovery, consumption, and validation friction via semantic matching and automated evaluation.

Meta announces over-the-air fleet key distribution for Messenger encrypted backups and commits to publishing HSM deployment evidence, enhancing transparency and security.

AI transforms chaos engineering by shifting from blast-radius control to intent-driven failure testing, enabling smarter, more efficient resilience validation.

An accessible guide to Apache Flink's stream processing architecture, fault tolerance, and event time handling, plus step-by-step instructions for building a real-time recommendation engine.

Discover why AI engineers are moving beyond LangChain to native agent architectures for production—trading abstraction for control, performance, and reliability.

Learn how to validate monotonicity and stability of variables in scoring models using Python, including PSI calculations and monotonicity tests with code examples.

A party-label bug in English local election data reversed a headline finding on churn vs. fragmentation. This article reveals how categorical normalization and metric validation prevent such errors.

A 2021 rotation-based vector quantization algorithm outperforms its 2026 successor due to a single learned scale parameter, highlighting that adaptability trumps automation in compression.

Learn how to choose between Ridge, Lasso, and ElasticNet regularization based on three easily computed quantities, with insights from over 134,000 simulations.

Reasoning models dramatically increase inference costs due to chain-of-thought, search processes, and higher token counts, impacting latency and infrastructure expenses. Learn mitigation strategies.

CSPNet improves CNN efficiency by splitting feature maps to reduce gradient redundancy, achieving higher accuracy with fewer computations and no tradeoffs.

V8's mutable heap numbers optimization yielded a 2.5x speedup in JetStream2's async-fs benchmark by eliminating costly HeapNumber allocations during frequent seed updates in a custom Math.random.