A readable starting point on Artificial intelligence after 26 tries

Hugo Sánchez · 81 likes

Honestly, this is a little too vague to be useful. I keep a note about machinelearning for exactly this reason.

Sofía Hernández · 35 likes

The conclusion is too broad, but the example is interesting. The Lagos example makes it feel concrete. The boring solution is probably the reliable one here.

Sophie Gagnon · 1 likes

Anecdote beats theory here.

Salma Idrissi · 14 likes

You explained the tradeoff really clearly. I noticed the same thing in Cairo.

Noah Miller · 13 likes

I am cheering for this update. The a tiny balcony detail changes the whole answer.

Maya Williams · 6 likes

That last line is excellent. I would write it down before changing anything else.

Cedar Fern · 5 likes

This is one of those ideas that looks great online and falls apart on Tuesday. Honestly, the simplest version wins for me. This is exactly the kind of tradeoff teams argue about for weeks.

Mateo Cruz · 2 likes

Glad you shared it; small wins count. The the corner shop detail changes the whole answer.

Sophie Gagnon · 14 likes

That sounds great until you add children/pets/deadlines.

Grace Parker · 6 likes

@mx_rider This is the kind of disagreement I like.

Marco Conti · 6 likes

I had the same reaction to rider.

Mateo Cruz · 5 likes

@us_mango58 My wallet felt that.

Grace Parker · 3 likes

Respectfully, I see it the other way.

Thandi Mokoena · 2 likes

Wonderful detail. It makes the whole thing feel real. My only addition is to make the first step visible.

Jack Taylor · 1 likes

Wonderful detail. It makes the whole thing feel real. My only addition is to make the first step visible.

Paolo Garcia · 4 likes

The Tuesday test is undefeated.

Aria Thompson · 1 likes

Great point, especially the part about artificial. It sounds small, but the first draft matters.

Valeria López · 1 likes

There is a hidden assumption here that not everyone shares. A little friction removed goes a long way.

Aoife Murphy · 0 likes

Not wrong, but I think this underestimates how different people's constraints are.