Your source for technology insights, tutorials, and guides.
Discover nine key insights into designing your own calculator CPU, from FPGA implementation and Harvard architecture to BCD optimization and physical build—inspired by HP classics and the Hackaday community.
Explore 7 key facts about the PinkPad V1, a VTech toy transformed into a DIY Linux laptop with a 5-inch touchscreen, pink keyboard, and Arch Linux ARM.
DIY Foucault pendulum guide: 10 steps to build, release, measure Earth's rotation at home with simple materials. Includes latitude calculation, error sources, and tips from RyanCreates.
Step-by-step guide to install and experience the revamped Candlekeep in the Baldur's Gate 3 mod campaign, including prerequisites, installation steps, and tips for optimal play.
Step-by-step guide to get Lenovo Legion Tower 7i Gen 10 with RTX 5090 at $4,657.49 using coupon GAMEON10, avoiding the 5% coupon trap, and comparing DIY costs.
Learn how to experience the 2.5D spectacle of Alabaster Dawn: from system setup and demo download to mastering combat and immersing yourself in its diorama-like world—all while appreciating why it challenges the need for 'true' 3D.
Q&A on how new research uses state-space models to overcome long-term memory limitations in video world models, enabling efficient extended temporal reasoning.
Researchers introduce automated failure attribution for LLM multi-agent systems with the Who&When dataset, addressing the challenge of pinpointing agent errors in complex interactions.
MIT's SEAL framework enables LLMs to self-improve via reinforcement learning, generating self-edits to update weights, marking progress towards self-evolving AI amid industry buzz.
ByteDance's Astra uses a dual-model architecture (Astra-Global and Astra-Local) to solve robot navigation in complex indoor spaces, replacing fragmented traditional systems with an integrated, multimodal approach.
Learn how automated failure attribution and the Who&When benchmark help developers quickly pinpoint which agent caused a task failure in LLM multi-agent systems, accelerating debugging.
Kubernetes v1.36 alpha feature filters watched events at API server, cutting per-replica CPU/memory costs for large clusters.
Kubernetes v1.36 stabilizes Prioritized List for DRA, adds beta features like Extended Resource Support, Partitionable Devices, and Device Taints, transforming hardware scheduling.
Kubernetes v1.36 makes Volume Group Snapshots GA, enabling crash-consistent snapshots across multiple volumes for production workloads.
Kubernetes v1.36 graduates PSI metrics to GA, offering stall-based monitoring that outperforms utilization metrics. Performance tests confirm negligible overhead.
Kubernetes v1.36 decouples Workload and PodGroup APIs, enabling atomic group scheduling, topology awareness, and DRA support for AI/ML workloads.
Spotify replaced its monolithic ad model with a multi-agent system: specialized AI agents for audience, inventory, bidding, and creative coordination, improving relevance and ROI.
Explore the engineering behind Spotify Wrapped 2025: data pipelines, machine learning, personalization, and scalable infrastructure that turn listening habits into a personalized story.
Agentic development uses autonomous AI agents to assist software engineering, transforming developer roles. Spotify and Anthropic's live event showcased real-world applications, safety practices, and the future of human-AI collaboration in coding.
Learn how Spotify leveraged Honk, Backstage, and Fleet Management to automate large-scale dataset migrations, reducing manual effort and improving reliability.