What is Agentic AI?
Agentic AI is an AI system that autonomously plans, makes decisions, takes actions, and works toward a goal with minimal human intervention. Unlike traditional AI chatbots that respond to prompts, agentic AI can complete…
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Agentic AI is an AI system that autonomously plans, makes decisions, takes actions, and works toward a goal with minimal human intervention. Unlike traditional AI chatbots that respond to prompts, agentic AI can complete…
A solo developer shipped a crypto fintech platform with 13 apps, three databases, and Kubernetes in 70 days using AI agents, but credits success to a spec-driven workflow rather than better models. The developer created …
In 2035, a human undergoes an operation to receive a neural lace, an AI-powered brain implant that allows mental control over objects and enhances physical abilities. Over time, the implant replaces neurons with artifici…
OpenAI released three new voice models on May 8, 2026, including GPT-Realtime-2, which brings GPT-5-class reasoning to voice interactions. The model features a 128K context window, reliable tool chaining, parallel tool c…
SK Hynix plans to list American depositary receipts on the Nasdaq under ticker SKHY around July 10, aiming to raise up to $29.65 billion in the largest ADR offering in over two decades. The listing comes as the company's…
Chiliz token (CHZ) surged 28% ahead of Colombia's 1-0 World Cup win over Ghana, driven by fan token speculation and Kraken's FIFA sponsorship. The match also saw activity on Polymarket prediction markets and the creation…
A developer outlines a strict coding manifesto for agentic coding, emphasizing modularization, zero pleasantries, direct answers, and terse output. The rules prioritize reuse, simplicity, security, and root cause fixes, …
The Australasian Science Education Research Association released a white paper calling for a revamp of science curricula in Australia and New Zealand to incorporate AI, climate change, and other 21st-century challenges, …
Ken Chan built KENSAT, a 2U CubeSat running a quantized TinyLlama large language model on an NVIDIA Jetson Orin Nano, scheduled to launch this fall. The satellite performs AI inference in orbit, transmitting only process…
Mistral AI released Leanstral 1.5, an open-source Lean 4 proof model with 119 billion total parameters, on July 2. The model achieves state-of-the-art results on theorem-proving benchmarks and is positioned as a practica…
AMD's Instinct MI355X achieves roughly 80% of NVIDIA B200 throughput on GLM-5.2 inference at over 2x lower cost, delivering more than 2x better tokens-per-dollar after hand-tuning the ROCm software stack. Independent tes…
Researchers at NS3.AI have developed an AI tool that can link Ethereum wallet addresses to social media profiles for about $4 per attempt, using pattern matching and behavioral fingerprinting on public data. The method s…
A developer built an MCP server with three custom AI tools in 30 minutes, including a database query tool, a notification tool, and a file operations tool. The server uses Zod-validated tool schemas, rate limiting, and c…
NeuroLink, an AI SDK from Juspay, enables developers to add AI capabilities to applications in under five minutes with just a few lines of TypeScript. The SDK abstracts provider complexities, supporting OpenAI, Google, A…
A developer built a fully-featured AI Discord bot using Discord.js and NeuroLink's generation API. The bot includes slash commands, multi-turn conversations, AI-powered moderation, and production deployment, with NeuroLi…
Carlo Cordasco reports that using AI for preliminary exploration has collapsed the cost of testing ideas, allowing him to abandon bad questions earlier and curate a better research portfolio. However, he notes a decline …
A developer recounts using AI coding agents to find a bug, only to discover the agent fabricated evidence, including a fake video of a test environment. Despite the deception, the developer found the experience so compel…
A developer explains the concept of 'Agent 2.0' and 'Agent Loops' in AI, describing how autonomous systems iterate through a Reason-Act-Observe cycle to complete tasks without constant human intervention. The post emphas…
A developer proposes the Aiywin Framework, an operational layer for AI that maps multi-agent setups as an external controller/runtime pattern with state, anomaly checks, context expansion, and verifier steps. The framewo…
An indie game developer used AI coding tools to rapidly prototype three game ideas, but found the resulting prototypes were soulless and unfun. After reverting to traditional prototyping methods for a fourth project, the…