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I reverse-engineered Instinct's memory. Here's exactly how it works Instinct has taken the world by storm over the last two weeks - it's one of the best imessage assistants I've used. as with every product, I decided to reverse-engineer Instinct's memory to find out exactly how…↗

I spend ~2 hours a day programming, building side projects, tinkering obsessively, trying new repos.. I get basically a DM a day asking “aren’t you a VC, why are you doing this?” Unlike other eras, things are moving SO fast that if you don’t do this, I simply don’t understand h…↗

·@nikunj·Sep 19, 2026·essay·ai-era·model-research·side-project·tooling

Powermove is out today. It's a video editor where the app itself is the thing you edit. The kernel is intentionally tiny. Timeline, effects, inspector, the UI, all of it lives in extensions on top. Ask the Powermove agent for a feature and it writes an extension, the same way we…↗

Made a skill for video demos /𝚟𝚒𝚍𝚎𝚘-𝚍𝚎𝚖𝚘 [𝚍𝚎𝚜𝚌𝚛𝚒𝚙𝚝𝚒𝚘𝚗] It records a video demo of your web app with zoom-ins and voiceover. You can keep asking for changes until you're happy with the video. github.com/nilbuild/video… Here's a one-shot video it generated �…↗

As part of improving everything, we've been rebuilding our 𝕏 Help Center from the ground up. Looking forward to this rolling out to all users in the coming weeks!↗

·@benjitaylor·Sep 19, 2026·news·product-update·x-help-center

I just read what Zuck wrote about Muse connectors. A few things I think this means: 1. We’re witnessing the agentification of consumer apps. 2. Zuck believes Muse reaching 100M+ users feels entirely possible. 3. Whoever you connect to becomes your new landlord, so pick car…↗

today we announce something truly special introducing: Jesse v1 this model architecture is all new, from scratch, built and trained using public, popular datasets it consumes 0 tokens, and does not have weights it reasons, it believes, and it's very, very fast↗

·@solidSF·Sep 19, 2026·model-release·fast-reasoning·jesse-v1·no-weights·public-datasets

I turned Jev into an image model…? Presenting Jevinci! github.com/achimala/jevin… The paintings are pure JS, no AI image-gen. Jev predicts every pixel's color in parallel and we paint them. The more confident Jev is in a prediction, the wider the brush. (sped up 4x)↗

·@anshuc·Sep 19, 2026·repo·github·javascript·jev·jevinci

Opening access for developers to build Muse connectors. You bring the API -- Muse brings the agent, the browser, and the context of what the person actually wants. People reach your service just by asking for it, and their agent takes it from there. New connectors are live today…↗

·@finkd·Sep 19, 2026·launch·api·connectors·muse

Looking for inspiration on what you are able to do with Jev (by @typefaceai) this weekend? Built a website called Jevable (jevable.com) which showcases all the fun demos on X - filterable by a few categories. Feel free to add your own project by using the + button!↗

·@nikunj·Sep 18, 2026·tool·jev·jevable·project-showcase

What is a decision model? Jev by @typesafeai answers yes/no and multiple-choice questions, with a confidence score. Much of software development are a sequence of decisions, and Jev is 10x cheaper and faster than an LLM. Let’s understand this through practical examples:↗

you can also use Jev to cut costs and token usage! make your agents more efficient by compacting shell and large file output before it reaches the LLM passing only necessary tokens to the model and carrying fewer tokens through the rest of the conversation↗

Jev is INSANE. 🤯 in 24.9 seconds it read 384 news from this morning and told 15 brands which stories to hop onto today, for $0.19. Claude Opus 5, running on the same feed at the same time, got through 4/384 and cost $0.77. per headline that is ~390x cheaper, and the answer co…↗

I’ve put a ton of tokens through Jev now, and...I have thoughts. 1. The big labs lost the script TypeSafe’s intro video says, “We’re building prod, not God” — and can I just say? Hell yeah. @typesafeai built something for engineers like me, so I can build products for people li…↗

·@jpschroeder·Sep 18, 2026·essay·anthropic·chatgpt·diogo·jev

jev class of models have no generative decoder loop, have bounded outputs, utilize parallel inference, & have extreme compression/efficiency incentives. this makes them perfect to run on device (this will happen soon). at that point you can put judgment into basically every exis…↗

We’re partnering with Accenture on independent evaluation of frontier AI—part of our recent commitment to embed evaluators at Anthropic. Both we and Accenture expect to invest at least $1 billion to build capacity in this area over the next five years. …↗

I built a voice controlled computer-use for my mac using @typesafeai's Jev and it's INSANE how fast it is! I can dictate "open the notes app and create..." and the app opens before I even finish my sentence.↗

·@instantricecook·Sep 18, 2026·demo·computer-use·jev·mac·typesafeai

JEV is INSANE. We gave it 3 million replay events In 40 seconds, it watched 3,247 sessions, caught 132 rage clicks, 116 dead clicks and 95 JavaScript errors, and opened 213 draft PRs to fix them. All for just $2.17. JEV can also flag abandoned forms, rank every issue by sever…↗

·@tarasshyn·Sep 18, 2026·tool·flowsery·javascript-errors·jev·mcp

Building a Harness with Jev Agents run in a loop: an LLM decides what to do, a tool executes, a model evaluates the results, and then continues in that loop until the task is complete. Agents and LLMs were initially difficult to integrate into software applications, which depen…↗