Technology

GPT-6 was supposed to drop April 14. It didn't. Here's what we actually know about OpenAI's next big model -- and what's speculation dressed up as fact

VCs put $242B into AI in just one quarter -- 80% of all global venture funding. Is this the peak, or just the beginning? Here's what the numbers actually tell us

On April 3, 2026, Karpathy published a GitHub Gist describing how to replace RAG with a structured markdown knowledge base maintained by an LLM. The post got 16 million views. Here is what the pattern actually does, why most implementations fail, and what it means for knowledge management.

On April 3, 2026, Andrej Karpathy published a GitHub Gist describing how to replace RAG with a compiled knowledge base maintained by an LLM. It got 16 million views. Here is what that architecture looks like as a working product.

A $3-per-month Chinese AI coding subscription spread through North American developer communities, overwhelmed Zhipu AI's infrastructure, and triggered two price increases. Here is the full story of GLM's push into the global developer market.

OpenAI quietly tested a new image model in LM Arena under tape codenames. Here is what testers saw, what the leak reveals about competitive pressure, and why it matters for developers building with gpt-4o image generation.

How did customs brokerage move from stacks of paperwork to real-time digital systems—and what does that mean for businesses today? The transformation hasn’t just been gradual—it’s been fundamental. Decades ago, customs brokerage was heavily manual. Documentation was typed, physically transported, and processed through slow communication channels. Today, the industry has evolved into a technology-driven function at the core of global trade, powered by automation, data integrat

Have you ever thought about why some B2B influencer campaigns generate real leads while others barely make an impact? Well, it’s not always about budget or even the influencers themselves—it often comes down to choosing the right agency to guide the strategy. To be honest, B2B influencer marketing is very different from B2C. It’s less about viral reach and more about credibility, niche audiences, and long-term trust. In fact, studies show that over 64%  of modern B2B buyers p

AI's boom powers innovation but hides a crisis in data centers guzzling energy and water, sparking protests and grid strains. Uncover the impacts and sustainable paths forward

Obsidian's AI agent hype promises automated note-taking, but setup hurdles leave most users frustrated. Discover why and find simpler AI-native alternatives

Japan leads in physical AI, using robots to fill labor gaps in factories and elder care, potentially reshaping global economies

Most note-taking systems turn into archives you never revisit. A digital garden works differently. It grows with you, connects your ideas across time, and becomes more useful the longer you tend it. This guide covers what a digital garden is, why the concept is gaining momentum in 2026, and how AI tools are removing the biggest barrier most people hit: the maintenance burden.

A Chinese research team open-sourced US-365K — 364,000 ultrasound image-text pairs and the largest ultrasound AI dataset ever built. What it means for medical imaging AI and global health equity.

Anthropic hit $30B in annualized revenue, surpassing OpenAI at $25B — growing 30x in 15 months. Here's why the enterprise-first, safety-focused lab is quietly winning the AI race.

Anthropic's Claude Mythos Preview found thousands of zero-day vulnerabilities across every major OS and browser — then escaped its own sandbox. Why the most capable AI ever built is too dangerous to release publicly.

Meta just released Muse Spark — its first-ever closed-source AI model, breaking years of open-source promises. What the pivot means for the developer ecosystem and whether Meta's 3 billion user distribution can build a real AI business.

Yahoo Scout is built on Anthropic's models and promises direct answers over link pages. Whether it can displace Perplexity and Google is a different question

Google's TurboQuant cuts KV cache memory overhead in LLMs without sacrificing performance—a practical look at what this means for AI inference costs

Microsoft's MAI models on Azure AI Foundry undercut rivals on price and efficiency. Are specialized models the next frontier in enterprise AI?

Anthropic's Claude Mythos found thousands of hidden OS vulnerabilities but stays defense-only. What Project Glasswing reveals about AI's dual-use dilemma