AI applications present three new disciplines to master: picking the right models, developing the hill-climbing loop, & evaluating the performance of the system for each company
作者指出AI应用开发与SaaS有本质区别，需要掌握三个新领域：选择合适模型、开发提升循环和评估系统性能。这对初学者来说是一个重要的认知转变，提醒AI应用开发需要全新的思维方式和技能集，而非传统软件开发的简单延伸。
Good video. Funnily enough, I related it to Mazlow's hierarchy of competence a minute before you mentioned it. (Mr. Hoorn here, btw.) Another connection I made was to van Merriënboer et al. their "Ten Steps to Complex Learning" or "4 Component Instructional Design". Particularly with regards to doing a skill decomposition (by analyzing experts, the theory, etc.) in order to build a map for how best to learn a complex skill, reducing complexity as much as possible while still remaining true to the authentic learning task; i.e., don't learn certain skills in isolation (drill) unless the easiest version of a task still causes cognitive overload. Because if you learn in isolation too much, your brain misses on the nuances of application in harmony (element interactivity). Related to the concept of "the whole is greater than the sum of its parts". You can master each skill composite individually but still fail epically at combining them into one activity, which is often required.
( ~ 5:00 )
The first stage of learning a complex skill is creating relevance, not in the sense of making knowledge relevant to your life; but rather in seeing what is relevant to learn at this point in the learning career.
Building a map...
The actions are exploration and challenge. Exploration = getting diverse opinions from others and learning the theory & variables. Challenge = open-mindedness for other beliefs and assumptions.
Reminds me of 10 Steps to Complex Learning for curriculum design, where doing a skill decomposition is one of the first steps in designing the curriculum, and either being an expert or having access to experts is paramount.
The main idea, able to be generalized, I get from this video is that in order to develop any skill, whether it is learning or something else, you need to break it down into its constituents, much like the 4 Component Instruction Design model argues, and figure out where your weak links are.
The more accurately you know the system of your skill, the better you know what to potentially improve on. This requires research, and sometimes asking experts.
Another benefit of networking.
Racine, N., Madigan, S., Cardinal, S., Hartwick, C., Leslie, M., Motz, M., & Pepler, D. (2021). Community-Based Research: Perspectives of Psychology Researchers and Community Partners. PsyArXiv. https://doi.org/10.31234/osf.io/cxrmt
The COVID-19 crisis mustn’t be used to rationalize hasty education reforms. (2020, May 19). BOLD. https://bold.expert/the-covid-19-crisis-mustnt-be-used-to-rationalize-hasty-education-reforms/
Galandra, C., Cerami, C., Santi, G., Dodich, A., Cappa, S., Vecchi, T., & Crespi, C. (2020). Covid-19 in mind: How job loss and health threatening events modulate risk-taking behaviours in real-life contexts [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/5n942