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I turned Jev into an image model…? Presenting Jevinci! 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)

Anshu

16,170 subscribers

75,445 просмотров • 2 дней назад •via X (Twitter)

Наука и технологии

Anya Rossi• Live Now

Private livecam show

Комментарии: 12

Фото профиля qray

qray2 дней назад

@typesafeai Now this is one impressive usecase that ive seen for Jev. nice work!

Фото профиля Alps

Alps1 день назад

@typesafeai @whatRanjuSaid @distributedkv 😭wth

Фото профиля Tak 🦞

Tak 🦞2 дней назад

@typesafeai How

Фото профиля Anshu

Anshu2 дней назад

@typesafeai You can read the code! I basically told Astra what I wanted and kept having it adjust the art style till I liked it, but the actual “art” is all coming from Jev You can think of it like a very weird visualization of a grid of probability distributions

Фото профиля AI Mastery Guide

AI Mastery Guide1 день назад

@typesafeai predicting pixels to paint is such a wild idea

Фото профиля Phanindra Reddy

Phanindra Reddy1 день назад

@typesafeai so damm good, love it this is curation of jev use cases (opensource), love to have your one here

Фото профиля Doug

Doug1 день назад

@typesafeai This is not the way. Let art belong to the artists.

Фото профиля designer

designer1 день назад

@typesafeai Whoa… you invented generative art that’s crazy

Фото профиля Sacha Sayan

Sacha Sayan1 день назад

@typesafeai That paint texture is a beauty. ❤️

Фото профиля Manas Vaze

Manas Vaze1 день назад

@typesafeai 🔥 🔥

Фото профиля afedb

afedb1 день назад

@typesafeai cool project 👏

Фото профиля Shubhu

Shubhu2 дней назад

@typesafeai thanks for sharing! can you check dm once?

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18,828 просмотров • 1 день назад

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175,262 просмотров • 2 дней назад

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Konrad Reczko

86,950 просмотров • 3 дней назад

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AI/ML API

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Dmitriy Kovalenko

159,191 просмотров • 1 день назад

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CJ (Coding Garden)

110,921 просмотров • 3 дней назад

Also have been playing with TypeSafe AI Jev, insane! So many immediate use cases and new apps are possible. What a time to be a builder! Sharing some experiments here starting with: Keystroke oracle / predictive launcher: Your launcher ranks by aliases, fuzzy match, and habit. Jev reads intent: type "the pdf I just downloaded" and the newest PDF is already the top hit with a full confidence on every keystroke, in ~100 ms

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nader dabit

418,779 просмотров • 2 дней назад

GPT 6 Astra × GPT Image 2.5 is a killer combination. I used @/sketch to draw a fighter jet. GPT Image 2.5 turned the sketch into a realistic image. Then GPT 6 Astra turned that image into a 3D model in Blender.

GPT 6 Astra × GPT Image 2.5 is a killer combination. I used @/sketch to draw a fighter jet. GPT Image 2.5 turned the sketch into a realistic image. Then GPT 6 Astra turned that image into a 3D model in Blender.

Karan

10,243 просмотров • 12 дней назад

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borja

728,475 просмотров • 2 дней назад

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David R. Liu

85,057 просмотров • 2 лет назад

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Cris Lenta

58,675 просмотров • 3 дней назад

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Jon Taylor

43,880 просмотров • 2 дней назад

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 TypeSafe AI is building something really interesting

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Milind S

226,953 просмотров • 3 дней назад

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Daniel Heinen

146,195 просмотров • 4 месяцев назад

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