NEC will establish a Center of Excellence to develop a highly skilled, AI-enabled engineering organization
大多数人认为AI会使专业知识和技能贬值,但作者认为AI实际上需要更高水平的工程专业知识,因为企业正在建立专门的卓越中心来培养AI技能,这表明AI工具正在提升而非降低工程工作的专业门槛。
NEC will establish a Center of Excellence to develop a highly skilled, AI-enabled engineering organization
大多数人认为AI会使专业知识和技能贬值,但作者认为AI实际上需要更高水平的工程专业知识,因为企业正在建立专门的卓越中心来培养AI技能,这表明AI工具正在提升而非降低工程工作的专业门槛。
I have baked Karl Popper in the main company AI skill: everything we create (human or AI) should be challenged.
[[Paolo Valdemarin p]] says he uses Karl Popper as a perspective in his main company AI skill, to challenge every output. Not sure what that means per se, but interesting phrasing. What would the 'main company AI skill' for TGL/me look like?
Android skills cover some of the most common workflows that some Android developers and LLMs may struggle with—they help models better understand and execute specific patterns that follow our best practices and guidance on Android development.
大多数人认为AI模型应该能够自主学习和理解最佳实践,不需要特定的技能集。但作者暗示AI模型在Android开发中存在'常见工作流程'方面的困难,需要专门的技能集来弥补,这与主流认知相悖。这种观点挑战了'AI应该能够自主学习'的行业共识。
page describing skills wrt claude code
Most skills require you to install a dedicated CLI. But what if you aren't in a local terminal? ChatGPT can't run CLIs. Neither can Perplexity or the standard web version of Claude.
令人惊讶的是:许多基于技能的AI工具依赖本地CLI,但主流AI平台如ChatGPT和Perplexity实际上无法执行CLI命令。这一限制意味着许多技能在非终端环境中完全失效,造成了AI工具功能的严重碎片化。
There's a fundamental problem with these tools beyond the capacity of any deployment strategy to solve: the tool requires expertise to validate, but its use diminishes expertise and stunts its growth
the paradox here is that using algogens erodes the skills to be able to judge its output. I think we already see that in the code leak from Anthropic.
the skill.md for Moltbook.