@ishuagra02

I used Jev to flag AI replies on X. I defined common AI-writing signals as the positive criteria for a Noul question that returns the probability of whether a reply is machine-generated. Things like…

Jev VS Fable 5.1 VS GPT-6 Astra: chess typesafe's new Jev V13 isn't an LLM. it doesn't chat, doesn't explain, doesn't write code — it only makes decisions. so we made it play blitz against frontier…

Jev can generate game levels in real time. Faster and cheaper structured output could be a big deal for game dev!

got Jev to review my PRs. ~200x cheaper than Claude and it answers in half a second 6 real PRs in the video. $0.00007 each. 1,000 PRs = 7 cents vs ~$14.50 on Opus 5 paste a diff → ONE call to…

jev is insane 🤯 Here is Jev playing subway surfers at super human speed, and also playing 50 games at once. cost less than a cent to do this run. Jev does not replace llms like astra or fable, but…

jev is insane 🤯 here is jev playing smash bros against itself he is controlling all 4 different characters. and literally deciding whats the best move to play against itself all within a fraction of…

jev decided to sacrifice a human to save robots when solving trolley problems

I built a trading bot with Jev! Jev decides if it should "buy" or "sell", given the price feed of an asset pair, and executes real trades. It uses Monad to place the orders on Kuru's on-chain order…

I gave Jev $10,000 and let it trade

卧槽，JEV 的出现很可能就是自动智能交易的起点。 昨天JEV在AI 圈刷屏，今天 Monad 工程师就用JEV做了一个自动交易机器人。 实时读取 MON/USDC 价格，JEV 不负责写分析报告，也不跟你解释一堆逻辑，它只做最核心的事，判断 Buy 还是 Sell，再给出置信度，然后直接把交易发到 Kuru 的链上订单簿执行。

昨天出的 Jev 模型 适合高频决策，那岂不又是适合打游戏？ 之前用 GPT-6 Astra 代打杀戮尖塔2 能力强但速度慢。 我刚实测用 Jev 打，行动思考只需 0.7秒， 画面我都没看清它就操作完了。 这超人类游戏速度， 着实又让我震惊瘫坐了😅 语言很难描述这感觉，看视频⬇️

Built Jev Search -- free and open source, powered by @typesafeai Jev and @search1api_dev search API. Ask in plain language. Jev picks where to search and ranks what comes back. Try it now:

Jev trading the danish stock market for all of 2025(239 trading days). Sentiment-based on market data, news articles, wikipedia & google trends. 8.1 million tokens for $0.32 🤯