Hey everyone, Dana Kim here, back on agntapi.com! It’s March 2026, and I’ve been deep in the trenches with a particularly prickly client project this past month. You know the drill – grand promises, legacy systems, and the ever-present demand for… well, magic. This time, the magic wand they were waving at me was an
Computer vision is one of the most critical technologies enabling autonomous vehicles. Self-driving cars need to see and understand the world around them in real-time, and computer vision provides the eyes.
How Autonomous Vehicles See
Autonomous vehicles use multiple sensor types, and computer vision processes the visual data:
Cameras. The primary visual sensors. Modern autonomous vehicles use
Vector databases have become one of the hottest infrastructure categories in tech, driven by the explosion of AI applications that need to store and search through embeddings. Here’s what’s happening in the vector database space.
Why Vector Databases Matter
Traditional databases store structured data — numbers, strings, dates. Vector databases store embeddings — high-dimensional numerical representations
The AI chip market is one of the most consequential technology battles happening right now. Who makes the chips that power AI determines who controls the future of artificial intelligence — and the competition is heating up.
NVIDIA’s Dominance
NVIDIA controls roughly 80-90% of the AI training chip market. Its GPUs — particularly the H100 and
AI is changing music in ways that are both exciting and unsettling. From AI-generated songs that go viral to AI tools that help producers work faster, the intersection of artificial intelligence and music is one of the most dynamic stories in both tech and entertainment.
The Big Stories
AI-generated music goes mainstream. Songs created with tools
Hey everyone, Dana here from agntapi.com! Happy Friday the 13th – hope your APIs aren’t feeling too spooky today. Mine are humming along, thankfully. You know, I’ve been thinking a lot lately about how we talk about certain tech concepts. It feels like some terms get thrown around so much they start to lose their
AI safety went from a niche academic concern to front-page news in about two years. Now every major AI company has a safety team, governments are creating AI safety institutes, and the debate about existential risk has gone mainstream. Here’s what’s actually happening behind the headlines.
What AI Safety Means in 2026
AI safety covers a
The NIST AI Risk Management Framework (AI RMF 1.0) is one of those documents that everyone in AI governance references but few people have actually read. That’s a problem, because it’s genuinely useful — and increasingly relevant as AI regulation tightens globally.
What It Is
The AI RMF is a voluntary framework published by the National
Here’s the thing about Apple and AI: they’re the richest tech company on the planet, and they’re somehow still playing catch-up. In March 2026, that gap is more visible than ever.
The Siri Situation Is Getting Embarrassing
Apple announced its big AI push — Apple Intelligence — back at WWDC 2024. The centerpiece was supposed to
Learn to seamlessly integrate AI into your REST API. This practical guide covers selecting AI models, designing endpoints, implementing code, and ensuring optimal performance and security.