Darren LI
@darrenli
Creator Economy, AI & retail-tech investor | J.D. & J.M. | PNG collector | Musical lover | Happy to chat, using Cal.com link below to book calls (https://cal.com/darrenli)
twitter.comDarren LI
Unity和Unreal两款游戏引擎都有超过二十年的发展历程,都包含了各种复杂的工具和功能。渲染,动画工具,脚本,profilers,DCC导入工具,地形,物理,网络,音频,VR,过场动画,版本控制集成等。就功能规格而言,Unity和Unreal无疑是目前功能最丰富和第二丰富的游戏引擎。
Link
These conversations identified 4 key innovations on the horizon: steering, memory, “arms and legs,” and multimodality.
Sarah Wang • The Next Token of Progress: 4 Unlocks on the Generative AI Horizon
The main differences between the AutoGPT project and traditional LangChain agents can be attributed to different objectives. In AutoGPT, the goals are often more open ended and long running. This means that AutoGPT has a different AgentExecutor and different way of doing memory (both of which are more optimized for long running tasks).
Autonomous Agents & Agent Simulations
10. A lot of founders are too addicted to operation numbers. The number of followers on Discord, the number of Twitter followers. These are the worst vanity tricks, and I ask founders to ignore these numbers because often quality is more important than quantity.
Qiao Wang • The Web3 Founder’s Playbook | Imran Khan, Qiao Wang, AllianceDAO
Embra was one of the first AI Agents startups. Today, we are renaming AI Agents to AI Commands, and narrowing our focus away from autonomous agents.
While autonomous agents took off in popularity, we found they were often unreliable for work, inefficient, and unsafe.
🧵
Zach Tratartwitter.comFinding the right balance between autonomy and control depends on the specific application space. Park says one of the main challenges with generative agents is that they need a very clear objective function.