The day's AI news, grouped by the companies behind it.

Aaaaaand this is now open-source here: A tiny AI pointer companion for your Mac driven by JEV or Gemini Live - Bring your own keys - Local OmniParser running on CoreML - Jev drives the pointer - Ctrl + K to type a task Voice mode next if people want it!

@milindlabs

Okay so Jev can actually do computer use really well > Without any screenshots, or LLMs and no Pixels leave my mac > I dont even read the Dom elements > A local CoreML model segments every button and UI element on screen. > On-device OCR reads the labels. That text is all Jev gets. > It returns a probability across those elements and tells me the best one to click. > Then it clicks, re-runs detection, and decides again. In a loop until the goal is done. > ~90ms per decision. Faster than any LLM computer use I've tried. > Blazing fast computer use, without any latency > @typesafeai is building something really interesting

• github.com

We believe voice-controlled computer use, browser and native app use, will improve with the recent launch of @typesafeai 's Jev. Here's @BhosalePratim moving around her machine and tasks using Gradium's voice AI APIs.

Working on exactly this! Check out Agent Skills API and other things we launched lately on @NotionHQ

@rileybrown

I need agent portability... > My weekend project is to centralize all my skills, plugins, and keys, so that it's seamless to switch from one agent platform to another. (Codex, GrokBot, Claude Code, Muse, and more). > I will be testing all the platforms that allow you to do that this weekend, and that is the one I'll use for my business. > Will make video on this next week.

here is why Jev is essential for any harness you might be using → three question types: choice, score, and a yes/no called noul → ModelRouterMiddleware: Jev picks the least costly model that can do the step → AutoModeMiddleware: Jev scores every bash call before it runs and blocks the risky ones → the same trick Claude Code and Codex run with private classifiers, now a pip install → 200x faster and 400x cheaper than an LLM on classification their own line: "Agents are still inherently untrustworthy." so they put a second model in the loop whose only job is to judge the first one, in milliseconds.if this scales, every harness ships with reflexes.

• langchain.com

i'd assume they're going to launch more models next week. which is: > gpt-6 sol > gpt-6 luna and save codex bot, and other fun stuff for devday

@thsottiaux

We were working on the keynote today with @romainhuet and @sama and most of the fun was trying to figure out how to explain it all to you because there is so much good stuff in there that it's a bit ridiculous all in quick succession. > We'll have some things next week already to not keep you waiting so long, but very excited to show you all new things we've been working on and how it will all come together in the coming months.

Working on exactly this! Check out Agent Skills API and other things we launched lately on @NotionHQ

@rileybrown

I need agent portability... > My weekend project is to centralize all my skills, plugins, and keys, so that it's seamless to switch from one agent platform to another. (Codex, GrokBot, Claude Code, Muse, and more). > I will be testing all the platforms that allow you to do that this weekend, and that is the one I'll use for my business. > Will make video on this next week.