📰 Hackernoon

Outages are costly and rarely have one owner. Learn how chaos engineering helps teams build resilient systems before failure hits production.

BioLLM is a SmolLM2-360M distilled from co-training on live human neurons via Cortical Labs' CL1 biocomputer. The neurons modulate token selection through real-

LLMs fail on large normative documents not because they can't reason, but because they can't navigate. I built a compiler that produces 14 structured indices en

ResQMesh is an open-source Android platform that integrates on-device machine learning directly into the BLE mesh communication stack. The entire AI layer runs

The spotlight is almost exclusively on securing the latest GPUs, but access to chips is only one variable in building large-scale infrastructure. Success comes

The Problem: "App-Hopping" costs users 59 mins/day in search time and requires 9.5 mins to regain deep focus after every context switch. The Failure: The Micro-

Hypertext is a way of organising discourse. It begins precisely where technology ceases to be the main subject. Hypertext belongs to that category. The logic it

Every request has a visible marginal cost. A feature can be “working” and still be failing in production because it is quietly burning budget, retried into a sp

A deep technical look at building AI systems that can parse and modify any WordPress theme, from Elementor to Divi to custom builds.

Learn how to turn messy healthcare ops data into validated, explainable, and reproducible ML-ready features that hold up in production.

TL;DR: The GlassWorm campaign compromised 151+ GitHub repos and 72+ VS Code extensions in March 2026 using invisible Unicode payloads, AI-generated camouflage,

AI has become more capable, but without memory it still forgets users and context. Here’s why AI memory systems may be the next big breakthrough.

The CEO of OpenAI said businesses are using his technology as a scapegoat. A Harvard Business Review study found that 60 percent of executives who made headcoun

HackerNoon asked readers if AI agents will go mainstream. 35% said they will go mainstream, 23% said agents will win only in niche use cases, 17% said the hype

AI companies are paying platforms for training data, but the creators behind that data receive little to nothing, creating an extractive data economy that may h

Yaeum is an AI-powered language learning app that helps users learn Korean by analyzing real content like K-pop and K-dramas, generating personalized vocabulary

The current era of artificial intelligence stands before a silent crisis of scale and performance. We are attempting to achieve ‘Intelligence’ by pouring in bil

When a model generates a function, it's producing text. That text has to be parsed, validated, and executed before you know if it's correct. The model has no id

Metrify is a Spring Boot library that replaces Micrometer boilerplate with simple annotations, making metrics like gauges and counters easier to implement and m

A2A Protocol v1.0 enables autonomous AI agents to coordinate across teams, products, and organizations using standardized messages, Agent Cards, and task stream

As we move into more complex LLM-based conversations and autonomous multi-agent systems, your biggest risk factor for production is your "default" temperature.

This article breaks down Ethereum’s Beacon Chain as a state machine, explaining how its data structures and processes enable Proof-of-Stake consensus, validator

Liquid restaking promised higher yields but devolved into an incentive-driven system with unclear risk and no sustainable revenue, eroding trust and deterring i

Gcore data highlights a threat landscape defined by newfound automated attack capabilities, scale, and frequency. Technology remains the most targeted sector, a