Your source for technology insights, tutorials, and guides.
If you've ever written SQL queries in Python, you've likely faced the classic dilemma: should you use positional placeholders like ? or named placeholders like
Discover 8 key improvements in the April update: faster startup via lazy manager discovery, better reliability with crash recovery, and smarter terminal management for Python in VS Code.
mssql-python now supports Apache Arrow for zero-copy, columnar fetching from SQL Server, boosting speed and cutting memory—ideal for Polars, Pandas, DuckDB, and more.
Learn how to upload custom artwork directly from the Plex mobile app with this step-by-step guide. Includes tips for best results.
Learn how Unihertz turned the Titan 2's biggest complaints (size, ugliness, jank) into a successful redesign for the Titan 2 Elite, with a step-by-step feedback-driven product improvement process.
Learn how to use Alexa’s new price tracking capability on Amazon's app and website to set alerts, get notified of drops, and make smarter purchases without browser extensions.
Thinking Machines Lab introduces interaction models that make real-time collaboration native to AI, overcoming turn-based limitations with multi-stream architecture.
GLiGuard is a 300M parameter open-source safety model that uses encoder-based classification to outperform models 23–90x larger while running 16x faster.
Enterprise AI governance in 2026 is struggling as shadow AI becomes the norm, with 40-65% of employees using unapproved tools. This Q&A explores the scale, employee awareness, data risks, the Samsung incident, governance shortcomings, and solutions.
Learn to simulate a zero-trust network using graph-based micro-segmentation, an adaptive policy engine, and insider threat detection with Flask.
Nous Research's Token Superposition Training speeds up LLM pre-training by up to 2.5x by grouping tokens during a superposition phase, then recovering with standard next-token prediction, without architectural changes.
New LSSVWM architecture from Stanford, Princeton, and Adobe uses state-space models to give AI video world models long-term memory without computational explosion.
PSU and Duke researchers introduce automated failure attribution for LLM multi-agent systems, releasing Who&When benchmark at ICML 2025.
MIT's SEAL framework lets AI rewrite its own weights using self-generated training data and reinforcement learning, marking a key step toward self-evolving artificial intelligence.
ByteDance's Astra AI architecture uses a dual-model system to solve robot navigation in complex indoor environments, overcoming traditional limitations with hierarchical multimodal learning.
Researchers unveil first automated failure attribution for LLM multi-agent systems, identifying which agent caused failures and when. Open-source dataset Who&When accepted at ICML 2025.
A practical guide for developers on building effective AI agent systems. Covers prerequisites, LLM basics, agent structure, a decision algorithm from Google/MIT research, and code examples.
Learn to build a privacy-focused, client-side PDF to image converter using JavaScript and PDF.js. Covers upload, rendering, format selection, and downloads—all in the browser.
Learn how to build production-ready AI features in Flutter, moving beyond simple demos to handle errors, costs, trust, and store policies with Gemini and Firebase.
How to use synthetic control in Python for causal inference on global LLM rollouts when no holdout group exists, with validation steps.