@10xmylife: Tried it out today, and it really works, so we'll go with this plan.
Summary
A user tested the Jev model's performance in the game 'Slay the Spire 2', where its decision-making speed was extremely fast, taking only 0.7 seconds, far surpassing humans and GPT-6 Astra, which is astonishing.
View Cached Full Text
Cached at: 09/19/26, 07:08 PM
Tried it out today, and it really works, so we’ll go with this plan.
paulwei (@coolish): Yesterday’s release https://t.co/6eiMFaJTrj
The Jev model is designed for high-frequency decision-making — does that mean it’s perfect for gaming too?Previously used GPT-6 Astra to play Slay the Spire 2
Capable but slow.Just tested Jev in action: decision and execution took only 0.7 seconds.
I could barely see the screen before it had already made its move.
This superhuman game speed truly left me jaw-dropped again 😅Hard to put into words — watch the video below ⬇️
#AIinGaming #JevModel
Similar Articles
@10xmylife: cool 啊
An AI system named 'jev' is showcased playing Super Smash Bros. against itself, controlling multiple characters and making rapid decisions within fractions of a second, using over 22 million tokens.
@RookieRicardoR: Domestic models break through again, matching top models like Claude 4.6 and Gemini 3.1 Pro. Just tested Qwen3.7-Max, sharing some real thoughts. Last night I topped up as soon as the API went live and chose three tasks (see video) to test Qwen3.7-Max's frontend capabilities…
The user tested Qwen3.7-Max and believes it matches top models like Claude 4.6 and Gemini 3.1 Pro in frontend, computing power, and Agent capabilities. Its reasoning ability has significantly improved, and with monthly iteration speed, it has become a first-tier domestic model.
@xueyu1125: Running local large models requires at least 50 tokens/s for usability. Here are API output speeds for top models (Gemini Flash 300+) DeepSeek V4 Flash: 99.5 tokens/s GPT-5.6 Sol: 68.1 to…
Discusses the token speed requirements for running local large models and compares API output speeds of multiple top AI models.
@zhixianio: After receiving the new machine, I began an 'ascetic' practice of forcing myself to use local models for common tasks. I thought it would be painful, but both speed and quality greatly exceeded my expectations: Model: Qwen3.6-35B-A3B-oQ6-fp16-mtp, Running: oMLX, with N…
The author uses the Qwen3.6-35B-A3B model and oMLX tool on the new local machine for daily tasks, finding that both speed and quality far exceed expectations, even outperforming remote LLMs in PA and coding scenarios, demonstrating a significant improvement in on-device AI capabilities.
@corbin_braun: GPT-6 Astra just casually one shoting @tldraw gotta love it
A tweet showcases GPT-6 Astra's capability to one-shot a task involving tldraw, highlighting its advanced AI performance.