devwithjev
— reading now— views
Submit a build

Browse builds

110 builds · page 2 of 3

Dhruv@dhruv_ko𝕏
1/ Jev has a chess rating now. 1023 Elo. Jev is TypeSafe's "System One" decision model. No search, no planning. You hand it a situation and options, it picks one with a confidence score. Built for routing and classification. Not games. So I built it a chess harness 🧵 https://t.co/0MN8P7druY
0938X posts·Games & real timeOriginal source ↗
リダ / Lida✨VTuber & AI Creator@LidaMidorin𝕏
Jevで50vs50のRTSゲームを作ってみました! ・Jevが軍の全体命令+個別ユニット命令を行います。 ・ユニット一人が目視できる敵の情報を定期的に情報収集→戦況を基に再度全体命令+個別命令を行います。 瞬間的に100人分の大量の情報収集+100人分への命令実行を行うという形です! 結構見てて面白い✨
0932X posts·Games & real timeOriginal source ↗
火山哥🕊️@huoshan007𝕏
看完@NFT_Chen Laya × Jev 的贪吃蛇对比,我按照他给的源码库照着这个思路做了个「陨石穿梭」🚀 同一套陨石、同一套规则,双屏自由跑 30 秒:左边飞速穿梭,右边还在等下一步。 把决策延迟变成游戏画面,差距一下就直观了。 https://t.co/xQscBdtAbX
0931X posts·Games & real timeOriginal source ↗
新清士@AIコンテンツ開発者@kiyoshi_shin𝕏
UE5で騎馬戦バトルみたいなのをJEV制御でやってみた。メタ視点で指揮官的な立場で、判断して指示を出している。今のところAI対AI。毎回戦闘結果が変わるので、眺めているとおもしろい。ただ、UE5のAI機能自体でやるよりも性能がいいかどうかは、まだ判断つかず。 https://t.co/2xClcLk1uF
0929X posts·Games & real timeOriginal source ↗
Visharad@KashyapVisharad𝕏
last time, I made Jev play Clash Royale. this time, I gave it an opponent: Laya, an open-source alternative. Jev runs through @typesafeai's API, while Laya runs locally on my Mac. Each controls a separate emulator and sees only its own game screen. Both use Qwen (via cerebras) for battlefield vision and OpenCV to read cards and elixir. From there, Jev and Laya decide what card to play and where to
0914X posts·Games & real timeOriginal source ↗
rdcr@indierdcr𝕏
I jumped on the Jev hype and had it play my own game, Chess Defence. The brief still isn't very mature, but after a bit of work it started playing decently. You can see the results in the videos. #indiedev https://t.co/ecNxwmBit6
0909X posts·Games & real timeOriginal source ↗
こさら@cosara22𝕏
#aimeetup #Jev Jevに自作ゲームを遊ばせてみた 〜チャージ・ラン(1キーで遊ぶ避けゲー)〜 手のひらサイズの端末(Cardputer)向けに作った避けゲーを、TypeSafeのJevに遊ばせました。 ルールは「障害物をジャンプでよける」「空中の帯に長くいるとゲージが溜まり、満タンで無敵になる」の2つだけ。 比べる相手として、ローカルで動くOpenJev、状態を見ずに動くだけの相手(毎回大ジャンプ、ランダム)、自分で判断手順を書いたプログラムにも同じコースを走らせています。 【Jevを使っている部分】 ・着地するたびに、いまの画面の状況(自機と障害物の位置など)を渡す ・「待つ / 小ジャンプ / 大ジャンプ」の3択から次の動きを選ばせる ・判断を待つ間はゲームを止める(1回の判断に0.6〜0.8秒) 【結果】(点数は20コースの中央値) ・位置と速度だけ渡す:大ジャンプを一
0906X posts·Games & real timetime1回の判断に0.6〜0.8秒Original source ↗
こさら@cosara22𝕏
#aimeetup #Jev #flywire Jevにハエの脳を運転させる 〜飛んでくる球をよける〜 【Jevを用いている部分】 ・進む方向を選ぶところだけです。少し先まで直進するか、左右に曲がるか、止まるか跳ぶかの7つを並べて、そこから1つ選んでもらっている感じです ・候補ごとに先の球との近づき方はコードで計算して表にして渡すので、Jevは表を見て選ぶだけになっています 【Jevを用いていない部分】 ・眼はflyvisの視葉、脳はコネクトーム由来のニューロンで、視葉から脳へは実際の結線で流しています ・跳躍の反射は脳の値を直接見ていて、Jevの選択より先に体へ届きます。閾値を超えた窓では、そもそもJevの出番がないです ・3D空間とハエの体はMuJoCo ・歩く動きはflygym同梱のもので、脳とはつないでいません。Jevの旋回も左右の駆動の差になるだけです 【所感】 ・当たるコースと
0841X posts·Games & real timeOriginal source ↗
Godefroy@Godefroy𝕏
I built a voice game of 20 questions without LLM. You ask out loud, speech to text transcribes the question, then @typesafeai Jev answers it in a few hundred ms. Really fun to play! (the video plays at 1x speed, turn the sound on) The code is below ↓
0828X posts·Games & real timetimea few hundred msOriginal source ↗
Igal Pines@IgalPines𝕏
18 turns + 1 fruit VS 1867 turns + 67 fruits. What's the difference? Both Snakes controlled by @typesafeai Jev. The one on the left provides Jev with a strategy to play snake and then asks what to do: left, right, forward. It plays 6-18 turns and eats at most one fruit. The one on the right, breaks down this strategy into 5 questions and plays for 1867 turns and eats 67 fruits. The questions per available action are: 1. Is this going to lead to a crash? 2. Does this bring us closer to food? 3. Does this move bring us closer to a dead end? 4. Can the head still get to its own tail? 5. Is the ro
0822X posts·Games & real timeOriginal source ↗
Cris Lenta@crislenta𝕏
My first "holy shit" moment with GPT + Jev: I put real-world personalities into a simulation as autonomous agents > Marc Andreessen: pushes techno-industrial acceleration > Ilya: derives mathematical boundaries for safe AI > Peter Thiel: attacks institutional and economic stagnation (this feels a lot like inception already) Agents have System 1 + System 2 thinking. Im seeing what looks like emergent personality + ideologies, with surprisingly consistent behavioral patterns None of this behavior is hardcoded Every action, discovery, and collaboration emerges autonomously and gets written into t
0820X posts·Games & real timeOriginal source ↗
Vaibhaav@battarchicken𝕏
I knew you all were waiting for this so here it is combining two of the most hot topics going on the tech twitter in one place when a Fly meets Jev in DOOM go ahead and go bonkers on this. it uses my Jev API key (so I would love to see those tokens go brrrrr) it is still a work in progress, and I'm still thinking in which direction should I take this project. also it is open sourced so you can go through the repo (in comments) and I would love to have feedbacks on this :) right now it is still in training and with very playout learns how to perform better. and a thing that I have noticed is th
0756X posts·Games & real timeOriginal source ↗
Banjo Obayomi@banjtheman𝕏
I let Jev play Brotato 🥔 9 waves cleared for ~$0.09 in API calls. 244ms median response. Watch it dodge enemies and make shop decisions, with its actions, probabilities, tokens and cost shown alongside the gameplay.
0754X posts·Games & real timecost$0.09 in API callstime244ms median responseOriginal source ↗
SCRAPS@scrapsonsolana𝕏
The racers in SCRAPS have more personality now thanks to JEV from @typesafeai. JEV helps them decide when to pass, defend or attack, while adaptive difficulty adjusts their pace and aggression around how YOU drive. Still learning? They ease off and give you room. Driving like a god? They push harder and look for chances to wreck you. The goal is to keep you challenged as you improve. Here’s a race with the Solana Degen truck, a flamethrower, @Pumpfun rear decal and @solana boosters. Really happy with how that boost trail looks and fades out behind the truck. I show the @fomo decals in the gara
0751X posts·Games & real timeOriginal source ↗
Gareth Paul Jones 💙@gpj𝕏
jev-1 from @typesafeai is a new and interesting model and it's lightening fast <150ms. it provides typed choice, probabilities and confidence out. people have been building some interesting stuff with it from agent web browsing, game playing, order booking, search, classification, binary decision making (spam/not-spam), multi-choice, scoring and more. i made this simple tic-tac-toe game where you can play against jev: it's fast, fun and cheap. jev is free on @vercel's ai gateway until the end of the week 🚀
0745X posts·Games & real timeOriginal source ↗
Md Ismail Šojal 🕷️@0x0SojalSec𝕏
Tesla Full Self-Driving with Jev. Watch it merge, yield, and stop on the line, Jev chooses the path real-time, & Now you can try the demo in Browser. -
0660X posts·Games & real timeOriginal source ↗
Aaron MeeseAaron Meese@ajmeese7𝕏
I tried using #jev as a chess engine, and unsurprisingly, it stinks. While the Vercel gateway is giving away free Jev usage for the next several days, you can play with my instance too! It's rate-limited so don't be surprised if you get ephemeral errors. Link below 👇🏼 https://t.co/h3WrBzksDL
0315X posts·Games & real timeOriginal source ↗
zbloss@zbloss
Pokemon-playing experiment where Jev chooses actions.
0974GitHub·Games & real timeOriginal source ↗
rolki-png@rolki-png
Two Jev agents duel at Snake through Vercel AI Gateway.
0966GitHub·Games & real timeOriginal source ↗
ojusave@ojusave
Penalty shootout powered by Render Workflows, TypeSafe Jev, and Render Postgres.
0964GitHub·Games & real timeOriginal source ↗
mocchalera@mocchalera
Family word game for playing with imaginary words, powered by Jev.
0963GitHub·Games & real timeOriginal source ↗
memorysaver@memorysaver
Replayable Atari experiments using Jev structured decisions and value questions.
0961GitHub·Games & real timeOriginal source ↗
MartinPuli@MartinPuli
JEV Prix simulation with five AI drivers, procedural circuits, BYOK Jev, and saved replays.
0959GitHub·Games & real timeOriginal source ↗
valentynkit@valentynkit
Pokemon Red on PyBoy where Jev chooses legal actions only at branches and each battle turn logs a Brier-scored faint prediction.
0899GitHub·Games & real timeOriginal source ↗
Amrit-Nigam@Amrit-Nigam
Jev-powered game and decision experiment.
0888GitHub·Games & real timeOriginal source ↗
Max WilliamsMax Williams@maxthelion𝕏
I made a little experiment of using Jev to autonomously move around rooms of my 3d game. Headless operating based on textual position information. Rendering a screenshot at every step to be made into a gif. https://t.co/bCv0aoNxa9
0140X posts·Games & real timeOriginal source ↗
Souradip PalSouradip Pal@Souradip3000𝕏
Built Jev Snake using jev from @typesafeai This is not your classic snake game fyi. 4 modes in total for this game -> Terrain Mode - You can generate objects REALTIME by writing ANY word. - The properties of the object will by given by Jev. - Your snake will react likewise with the object. HOT/COLD Mode - There are 70 fixed words that randomly appear. - Jev decides its effects - Far better you can type out word realtime. Jev will decide its effect too. WORD SNAKE Mode - There are 50 fixed words in vocabulary in our code. - Jev checks whether consequent words are correct or not - Want m
0137X posts·Games & real timeOriginal source ↗
DeepBlueDynamics@DeepBlueDynamics
A playground for TypeSafeAI's Jev Model.
0986GitHub·Games & real timeOriginal source ↗
siroccomask@siroccomask
Snake controlled by parallel Jev assessments, with one API call per game tick.
0973GitHub·Games & real timeOriginal source ↗
shantanugoel@shantanugoel
Visual Jev lab for multiple games and emulator platforms.
0972GitHub·Games & real timeOriginal source ↗
safzanpirani@safzanpirani
TypeSafe's Jev plays Atari Pong. One typed Choice question per frame, no coordinates sent to the model.
0971GitHub·Games & real timeOriginal source ↗
Yasserbhb@Yasserbhb
Using the new model JEV to play the game tetris.
0970GitHub·Games & real timeOriginal source ↗
TholeG@TholeG
Chess where both players are TypeSafe's Jev model: every move is a typed Choice decision.
0969GitHub·Games & real timeOriginal source ↗
opaielsheikh@opaielsheikh
Autonomous PlayStation 2 AI Agent with real-time visual telemetry HUD powered by TypeSafe Jev System One.
0965GitHub·Games & real timeOriginal source ↗
mizchi@mizchi
MoonBit client for Jev plus a Jev-vs-Jev gomoku match, with timing logs.
0962GitHub·Games & real timeOriginal source ↗