📰 Hackernoon

If you're building an AI product right now, the single most high-leverage thing you can do isn't to upgrade your model. It's to watch five users try to use your

The biggest obstacle to mastery isn't ignorance; it's Anti-Knowledge: the functional but suboptimal habits that create a performance ceiling. Because our brains

55% of engineers feel supported during incidents. Only 44% do after. The hidden cost of on-call is a systems problem, and it's measurable now.

On-chain RWA volume (ex-stables) grew 3.4x in 2025 — not despite macro uncertainty, but because of it. Capital is rotating from speculative crypto into tokenize

Adding AI to microservices breaks the assumption that same input produces same output, causing unpredictability, debugging headaches, and unreliable systems. To

Event-driven architecture enables scalable and resilient systems by decoupling services through asynchronous messaging. Using Azure Service Bus with .NET Core,

Most mergers fail not because of strategy, but due to poor technology integration. Without a structured integration layer, systems remain fragmented, data becom

Traditional demand planning struggles with dynamic markets, relying too heavily on historical data. AI changes this by enabling real-time demand sensing, probab

AI coding tools have transformed the creative process of writing code, enabling rapid prototyping and automation. Yet productivity gains remain elusive because

Omni-WorldBench reveals the blind spot in AI world modeling: systems can generate realistic video without understanding how actions cause change.

ReconMIL improves cancer slide analysis by combining global tissue context with local cellular detail to detect sparse diagnostic signals.

OpenClaw is a powerful open-source AI agent, but self-hosting it is a pain. KiloClaw is OpenClaw fully hosted and managed by Kilo — sign up, connect your chat a

The first workers displaced by generative AI weren't software engineers. They were translators and $1.32/hr data labelers. Philip K. Dick predicted why.

This tutorial shows you how to build a complete voice agent that can have natural conversations with users. You'll create an application that listens to speech,

OpenAI is deeply embedded in political and social discourse because AI itself is. A traditional way to shape public opinion, PR, is not effective enough to help

AI made building cheap and fast, so the real moat now is distribution, retention, trust, and learning faster than everyone else.

Split your AGENTS.md into layered files so your AI loads only the rules that matter for the code you touch.

The most cited figure in startup failure research comes from the U.S. Bureau of Labor Statistics: roughly 20% of businesses fail in their first year, and about

Judges said the series “brilliantly tackled misinformation on YouTube, hitting home for the Vietnamese and wider AAPI communities. By teaming up with Mai Bui, a

Orchestration (Request-Response) uses a central controller to manage logic, offering high visibility and easy debugging but creating a single point of failure a

Text-only LLMs may already know enough about sound to predict downstream audio model performance before an encoder is ever attached.

Hospital data is sparse, irregular, and time-sensitive. Here's why standard machine learning struggles and event stream models work better.

Shapley analysis reveals why AVSR models keep trusting corrupted audio, exposing a hidden bias in multimodal speech recognition.