i don’t understand why people say we’ve used up the internet for pretraining. we’re making exponentially more internet every day now

Introducing Brand Kits. Whether it be an indie content creator or a creative director at a Fortune 500, staying on brand is crucial to creating visual content. Type in your website or upload guidelines, and the agent will handle the rest. In partnership with @tastelabs

Introducing Brand Kits. Whether it be an indie content creator or a creative director at a Fortune 500, staying on brand is crucial to creating visual content. Type in your website or upload guidelines, and the agent will handle the rest. In partnership with @tastelabs

officially a @TechCrunch disruptor ;) oh and btw we're hiring tastelabs.com/

Who are the most tasteful companies in tech? Vote now: cosign.co/questions/highest-…

I no longer see any compelling reason to believe that taste is some permanent boundary LLMs won’t cross. It’s already happening.

Over the last few days we shipped some new cool stuff to the Taste Engine. One of my new fav features is that now brand extractions includes extracted assets from ads, social channels, and more! Really useful to give your agents more visual references 🧙‍♂️

People are laughing at data companies making $1B a year and call it NGMI. Entirely wrong. As RSI becomes more accessible, the bottleneck shifts from "a smart math genius knowing training recipes" to "access to high-quality data". Data companies create the most value in this new world. AI is the biggest math genius. We don't need more math geniuses. We need the most unique, best curated data with a strong point of view. Whoever owns this can either sell to labs, or train their own model that beat the labs. Just accept the new reality, guys.

A brand's homepage is usually polished. The rest of the site, not so much. So I built a little tool with @tastelabs that checks every page of a site and shows which ones drift from the brand. Paste a domain, pick the sections you care about, and Taste pulls the design system from the homepage (colors, type, spacing, components). Then it scores every page against it. You get a score per page, concrete fixes, and the issues that repeat across the site grouped together, so you fix them once.

1 year tasteversary!

convergence to the mean when everyone looks at everyone else to decide what to make, we eventually stop making anything of our own. we copy what works. borrow the language, the aesthetic, the features. we call it learning from the market, following best practices, staying competitive. together, everything starts to feel familiar. polished, interchangeable. nothing wrong. nothing alive. the mean isn’t necessarily bad. it’s where everything lands when we remove the reasons for it to be different. numbers are easier to compare than feelings, so we make things that produce numbers. we study what gets attention, then shape ourselves around it. eventually the feedback stops informing the work and starts authoring it. we’re no longer asking what we want to say. we’re asking what will be rewarded for saying. ai makes this loop frictionless. it can draw from more references than we could see in a lifetime. but access to every perspective isn’t the same as having one. it hasn’t lived a particular life that makes one detail unbearable and another beautiful. when we ask it to choose for us without bringing any intention of our own, we get something plausible, easy to approve. then we ship it, measure it, copy it, and feed it back into the next round. a tidal wave of mid. this changes not just the work, but the people making it. we describe ourselves in categories platforms can distribute and markets understand. designer. founder. creator. pick a niche. build a brand. be consistent. the parts that don’t fit become inconvenient, even when those contradictions might produce our most interesting work. we become easier to classify and harder to tell apart. i think we need to approach making things more like artists. an artist develops a perspective through the work. making, noticing, choosing, failing, returning. learning what matters even when nobody else cares. craft gives that perspective a form precise enough for someone else to experience. the life outside the work matters too. the places you’ve lived, the people you’ve loved, the things you’re embarrassed to care about. these aren’t distractions from having something to say. they’re how you come to have something to say. we understand this with music, paintings, photographs, movies. we expect a person to be present in the choices. we want to experience something we wouldn’t have encountered without them. software can do this too. a piece of software expresses beliefs about how life should feel. what deserves your attention. what you should be free to change. whether a task should feel like paperwork or play. even a small interaction can carry someone’s care, humor, or curiosity. but we rarely talk about software as a medium. we talk about it as an industry. markets to capture, workflows to optimize, competitors to catch up with. we add a feature because someone else has it, without asking whether it belongs. products accumulate the same parts and lose what made them worth choosing. underneath the branding, it’s all the same thing. artists learn from others too. the question is whether you’re absorbing those influences into a point of view, or using them to avoid developing one. what are you trying to let someone feel, understand, or do? why this particular shape? what have you noticed that the existing tools don’t seem to notice? those questions don’t have answers you can borrow from a competitor’s roadmap. if we can make almost anything, deciding what deserves to exist becomes more important, not less. speed gives us more chances to exercise judgment. it doesn’t remove the responsibility. i don’t want a world where every person becomes a more efficient distributor of the same ideas. i want people to use these tools to go further into what they actually care about. to make things specific enough that we can feel someone behind them. what is the point of everyone being able to make something, if we all end up making the same thing?

made a @github action that uses the @tastelabs API to score your PRs' @vercel previews against your brand's design guidelines and give your agent the fixes. here's the demo 🤖

We are approaching cyber-superintelligence. But our systems aren't ready. We must secure our model weights and infrastructure against three new threats: sabotage, escape, and theft. There is a way forward. Secure Acceleration: A Cyberdefense Strategy for Superintelligence

Working on AI VidGen with @droid and @tastelabs Tastelabs builds the design files and brand guide - not much shown here, but there are signs Droid orchestrates from a prompt, skills, and MCP