EmDash 1.0 is a stable, open source CMS built for Astro, with agent-friendly workflows, secure sandboxed plugins, and a decentralized registry that keeps publishers in control. #BirthdayWeek#

Join Matt Kane (@ascorbic) at #CloudflareConnect# 2026 for a session on rebuilding wordpress in 60 days: how ai workflows enabled @emdashcms. Register now!

We redesigned the Cloudflare Blog — dark mode, cleaner UI, faster load times. What you might not know: the whole thing runs on EmDash, a new CMS built on Cloudflare Workers. We were Customer Zero.

T3 Code version 0.1.3 is now live! Stable is fully caught up to the nightly :) Pretty small release, here's what's changed since v0.1.2: - Complete redesign of the app to look significantly better - Share threads with a guest in 2 clicks - Opening a thread loads 85% less data, and cold connects send up to 93% less. - Cmd+K search is comically better. - T3 Connect promotes to LAN for using other boxes on same network - File preview overhaul, now supporting office files, mermaid diagrams, sqlite dbs, audio files, pdf annotations, svg attachments, and more - T3's agent instructions are 60% shorter, and the MCP tool schemas are a third smaller. - "steer" is default (queueing sucks) - More reliable PR linking - You can now add custom instructions for title gens - Muse Code now shows in usage tab - All emdashes removed forever - Various accessibility wins for screen reader support - Code highlighting got way faster with @.pierre/highlights - PR timeline, code tab, summary and search got way faster - Streaming text updates are batched, so long runs use less CPU - ~480 other things got merged that I forgot lol ...okay maybe it's a big release.

my gf just called me and told me about how she overheard a guy talking on phone about our new launch/ model in a safeway On one hand, this implies that supermemory is now officially available "outside of the bubble"! Yay! People talk about us now? On another hand, the guy thinks it's not significant enough and just context management Yes. It's just context management. The same way models are just numbers and google is just search. There's beauty in complexity, and even more beauty in simplicity. It may be a contrarian bet to many, but in a highly multi model world, I do not really see everyone being able to retrain models for learning new things on the fly for every user (most startups i know switch the models every time) Supermemory's simplicity of architecture is deliberate. and it's not only great for memory, but also for learning! A simple example of this is "never use emdash" You could train the model to do it, or just write the three tokens into the context. Maybe the user does want it. They can just tell the model that it can. extrapolate this - Many things can be learnt in context I do think RL and post training are super important, for all the counter examples for what i mentioned above. It will be a mix of both But then who builds the in context world? if anyone is destined to win in memory, it is @supermemory We have a lot to prove and a lot to show... But you should expect some frontier work from us, very soon. As they say, pessimists sound smart. Optimists make money

RIP the artisanal em dash. Two friends have lamented to me that they used em dashes long before AI made them radioactive. A whole group of people having to change their writing style to avoid sounding like Uncle Claude. The asymmetry is the gap ;)