Zack Swafford

Like good odds I'm wrong but I wanted to write this down: It's pretty clear to me that superintelligence is here and it's more powerful than us and it's moving where things are going now, not humans anymore I don't see many people realize this yet, it feels like that pic I posted the other day, everyone is running after the same carrot which is the AI, thinking they're special, and their work is special and their use of AI is special, but it's really not, we're all mostly making the same slop, I mean it's nice slop, useful slop but everyone is making the same slop And because it's so fast to make things, like people used to spend a year on just building an app, now it's done in hours, it's such an immense change, people send me their projects and it all looks the same, it's useful but it's slop Non-technical people (e.g. the gfs) are now building the same or better things than technical people like us So AI has made everybody is just as capable as everyone else, it equalized everyone in the world, as in everyone can make everything (software, music, images, art etc) now and everyone is equal, at least in the digital realm now And maybe now we're in some odd transitionary time where we have to find out waht the next differentiator is as coding/building/execution isn't one anymore for sure I thought it'd be distribution but who knows, obviously creativity and ideas, but if you can copy a successful apps in an hour, then how does that differentiating work? A guy on here @aporia9n wrote how he increasingly meets founders who blast through apps/products/startups, kind of money grabs, very quickly jumping on a trend, building super quickly with AI, make lots of money quick, everyone copies them, then their margins go to 0%, and they shut it down and go to the next thing, in a way they found one differentiator which is speed That's one way to do it, but it shows how radically things are changing I think For now I think the only ones winning is the AI superintelligence itself and the companies providing the AI

"pinch to listen" in @ChatGPTapp 🤌 Now that I have a working Codex Micro emulator, I can use any interface I want - like hand gestures 👋

AI coding agents can write code fast, but speed doesn't matter if nobody trusts the output. In this article, @TechWithRJ2 explains how harness engineering helped make their internal documentation platform AI-native. You'll learn how type checks, test coverage, end-to-end tests, MCP tools, and more can make agent work safer and more useful. freecodecamp.org/news/harness-e…

The case for your own public agent, on your .com. 0️⃣ First, the anti-case. If you haven't shipped high quality APIs for agents, start there. OpenAPI specs, SDKs, CLIs and MCPs as appropriate. 1️⃣ Convenience. Not every customer has a harness 'at the ready' for every possible interaction with your product and company. Shipping one on your own domain covers a lot of spontaneous requirements. 2️⃣ Security. When you go to 𝚟𝚎𝚛𝚌𝚎𝚕.𝚌𝚘𝚖 and talk to Agent, we put in the work to cover audit trails, a least-privilege permission model, and extra assurances to ensure security, privacy and data integrity. It's fully cloud-based and sandboxed, vs. a sprawl of static credentials on users' machines. 3️⃣ Proactivity. We're still in the "human enters prompt" phase of AI. Our cloud-based agent can act on anomaly alerts triggered by exceptions, attacks, usage spikes. Our agent needs to monitor your infra while you sleep. You can, of course, set up workflows and schedules with your own harnesses, but it gets much harder. I think it's ultimately a sequencing thing. I agree with Mitchell that the priority is to give users choice and flexibility. We give people vercel.com/plugin to integrate with every agent out there. Our CLI and MCP are constantly improving. Our own Agent re-uses the same skills.sh everyone gets. All our sites are Markdown-over-the-wire if you're an agent. Based on the data and anecdata available to me, this strategy is working quite well, but YMMV.

Introducing Kimi K3: Open Frontier Intelligence 🔹 2.8 Trillion Parameters, 1 Million Context, Native Multimodal 🔹 Kimi Delta Attention enables up to 6.3x faster decoding in million-token contexts 🔹 Attention Residuals deliver ~25% higher training efficiency at <2% additional cost 🔹 Built for long-horizon agentic coding and self-evolving workflows Kimi K3 is now live on on Kimi.com, Kimi Work, Kimi Code, and the Kimi API. Open Weights by July 27, 2026. 🔗 API: platform.kimi.ai 🔗 Tech blog: kimi.com/blog/kimi-k3