Raising a Good Junior: What AI Gets Wrong About Knowledge and What It Means for the Next Generation
The article discusses the limitations of AI in knowledge transfer, particularly in software development. It highlights the importance of tacit knowledge that cannot be easily documented or transferred through AI. The author argues that the real issue lies in the lack of mentorship for junior developers, rather than the capabilities of AI itself.
- ▪AI assistants often provide confident outputs without revealing the reasoning behind them.
- ▪The article emphasizes the importance of tacit knowledge that is gained through experience and cannot be easily transferred.
- ▪The author suggests that the failure of the apprenticeship model is due to a lack of teaching juniors how to learn, not solely because of AI.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 501623) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Andre Faria Posted on May 20 Raising a Good Junior: What AI Gets Wrong About Knowledge and What It Means for the Next Generation #ai #education #engineering #softskills A friend of mine, Jose, sent me a conversation he'd had with an AI assistant about an article he'd been reading. The article was The Tacit Dimension by Christian Ekrem.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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