I take the point, but I think the author picked a poor analogy. Cooking even an excellent steak is actually not that hard. In fact, I'd argue that it's among the easiest things to master/make at a top level quality at home. Does it require some modicum of attention and understanding? Sure. But starting with a high quality cut, owning a meat-thermometer, and knowing about reverse searing is about all it takes to reliably and easily get a near perfect steak every time.
There are far, far better cooking examples out there.
I'm more of a coffee nerd than a steak aficionado but I've often made the comparison between those two. In both cases, the enthusiast considers their skill in making coffee/cooking steak to be a differentiator and they immerse themselves deeply into the process, skills, and tools. But for both coffee beans and steak the most important factor for a good end product is starting with high quality inputs. In other words, most of the work is being done by the farmers, the processors, and the quality of the raw stock (the cow or the coffee plant). Your job at the very end of that long value adding chain is to not ruin the hard work that others have put into it.
I'm not sure if this analogy holds up in the AI software metaphor that the author of the blog post is making.
Coffee is a good metaphor here too, because bad technique can ruin a good steak just as surely as good coffee. "knows how to use a meat thermometer and reverse sear" describes like 10% of the population or less, same with coffee - there are people who use a bad grinder and a not-regularly-cleaned Mr. Coffee with good beans and get gas station coffee, and there are people out there making solidly B+ class coffee using costco beans, a no name burr grinder, and a french press.
Edit for people who've never had good coffee:
"I don't like coffee. Can James Hoffmann change that?" <a href="https://www.youtube.com/watch?v=Z-iNAyu-ejo" rel="nofollow">https://www.youtube.com/watch?v=Z-iNAyu-ejo
It’s about experience. If you’re not into classical music, or jazz, or metal, it all sounds the same - how could anybody tell the difference? Only when you put in the work to listen to it a lot, different works, and actually pay attention, you will notice how your sense and understanding develops over time. Suddenly you’re able to make out differences, recognise patterns and repeated segments and structure where before there was none.
Or pick dancing: when you start out, you’re entirely occupied with placing your feet in the right spots at the right time. As you practice, your mind gets freed up and you’re able to make deliberate alterations, embellishments, larger figures. That seems impossible at the start.
MostlyStable · · focus · HN ↗
There are far, far better cooking examples out there.
MerrimanInd · · focus · HN ↗
I'm not sure if this analogy holds up in the AI software metaphor that the author of the blog post is making.
jaggederest · · focus · HN ↗
Edit for people who've never had good coffee:
"I don't like coffee. Can James Hoffmann change that?" <a href="https://www.youtube.com/watch?v=Z-iNAyu-ejo" rel="nofollow">https://www.youtube.com/watch?v=Z-iNAyu-ejo
cogman10 · · focus · HN ↗
I can certainly tell the difference between a good steak and a bad one.
9dev · · focus · HN ↗
Or pick dancing: when you start out, you’re entirely occupied with placing your feet in the right spots at the right time. As you practice, your mind gets freed up and you’re able to make deliberate alterations, embellishments, larger figures. That seems impossible at the start.