[MIXTAPE] 2026.04.01
A monthly stack of things worth your attention before the feed turns them into mush.
Not the biggest stories. Not the most viral. Just the links that made me stop, open a new tab, and feel the shape of the internet changing a little.
1. Pretext
A new text engine from Cheng Lou that makes web behaviors possible that used to be brittle, janky, or basically impossible: text wrapping around moving objects, reshaping itself live, reacting like a physical material, and turning typography into an interactive system instead of a dead block. One of those rare frontend releases that quietly expands the design space.
2. Parallax
A distributed inference stack for people who don’t want their AI future fully outsourced to hyperscalers. Stitch together spare machines, odd hardware, and local devices into something that feels less like running a model and more like building your own intelligence infrastructure.
Microsoft wants to do for agents what training infrastructure did for models: make them optimizable instead of mystical. The appeal is simple — keep the agent, improve the performance, skip the rebuild ritual.
4. 4DV
Animated Gaussian splats, spatial media, and a glimpse of video after the rectangle. The demos make a lot of current AI video look instantly old.
5. Particles
An AI-native particle simulator that lets you co-create huge 3D swarms with an LLM instead of spending six months becoming a full-time graphics goblin. Creative coding with the barrier to entry suddenly dropped through the floor.
A man used AI to help design a personalized cancer vaccine path for his dog. The real story isn’t just biotech drama — it’s that motivated outsiders can now push into domains that used to feel brutally expert-locked.
Less “here’s a flashy model,” more “here’s how to actually become dangerous with it.” A guide for using Seedance like an operator instead of a tourist.
8. Why the Harness Matters More Than the Model
A clean reminder that agents are not just models — they’re models plus harnesses, evals, traces, and execution logic. If you want to understand where agent quality actually comes from, start here.
9. projects.dev
Stripe is trying to become more than payments infrastructure — it wants to help provision the modern software stack itself, straight from the terminal. Quietly ambitious, which is Stripe at its most Stripe.
One of the few projects trying to map AI job displacement geographically instead of talking about it like vague future weather. Not just that disruption is coming — where it lands.
11. AVM
“V8 for agents” is a strong pitch because it points at a real missing layer. If agents are going to run real workflows, they need runtimes with security, limits, visibility, and control — not just vibes and wrappers.
A lot of these links rhyme with each other. New interface primitives. New creative tooling. New agent infrastructure. New maps of who gets hurt. Less “AI can do this now,” more “here’s the world that starts to form when the toys harden into systems.”
That’s what I want this mixtape to keep doing every month: not just showing you what’s new, but what’s starting to matter.