CASE FILE / Robotics
Woke up with early access to @typesafeai and was super excited to try
Woke up with early access to @typesafeai and was super excited to try. Got a demo cooking before work this morning where typesafe drives an AI co-op partner in my @threejs action game. Can see the log on the right tracking the AI decision making in realtime. Typesafe is reading game state and choosing intent for the bot: When to engage, regroup, survive, or escape. Obviously a bit primitive right now but this is like ~1hr worth of work. I need to run to work, but holy shit super excited to build on this 😄 The total spend for about 10mins play testing this morning was about $0.02. Let's fucking go 😂
Original post
Woke up with early access to @typesafeai and was super excited to try. Got a demo cooking before work this morning where typesafe drives an AI co-op partner in my @threejs action game. Can see the log on the right tracking the AI decision making in realtime. Typesafe is reading game state and choosing intent for the bot: When to engage, regroup, survive, or escape. Obviously a bit primitive right now but this is like ~1hr worth of work. I need to run to work, but holy shit super excited to build on this 😄 The total spend for about 10mins play testing this morning was about $0.02. Let's fucking go 😂
Chinese translation
早上醒来时，很早就可以访问@typesafeai，并且非常兴奋地尝试一下。今天早上上班前做了一个烹饪演示，其中typesafe在我的@threejs动作游戏中驱动了一位AI合作伙伴。可以看到右侧的日志实时跟踪人工智能决策。 Typesafe正在读取游戏状态并选择机器人的意图：何时参与、重组、生存或逃跑。 显然现在有点原始，但这就像是大约1小时的工作。我需要跑去上班，但天哪，我超级兴奋地在这个收件箱上再接再厉😄 今天早上大约10分钟的游戏测试总花费约为0.02美元。我们他妈的走吧😂
What this case shows
- Use JEV for fast discrete calls on robot state
- Threshold probability to act or halt
- See the original post for the sim or hardware demo