I've surely forgotten the names of the graph search algorithms I learned in my AI class, but there are some insights I gained that I believe I either wouldn't have learned or would've taken me much longer to learn if it wasn't for that class. Here are some of those insights:
1. Judge decisions by the information available at the time, not in hindsight
When evaluating past decisions, you can only fairly assess whether you made the best choice given the information you had at that moment. Hindsight criticism using knowledge you gained later is invalid. The real questions to ask are: "Did I make the best decision with what I knew then?" and "Did I fail to gather information that was actually available to me at the time?"
2. Optimizing for immediate wins can lead to worse long-term outcomes
Always choosing the option that looks best right now: "winning" at every decision point, doesn't guarantee the best overall result. Sometimes the optimal path requires accepting short-term setbacks, costs, or seemingly worse positions in order to reach a better destination. Greedily maximizing at every step can trap you in local optima and prevent you from finding the global optimum.
1. Judge decisions by the information available at the time, not in hindsight
When evaluating past decisions, you can only fairly assess whether you made the best choice given the information you had at that moment. Hindsight criticism using knowledge you gained later is invalid. The real questions to ask are: "Did I make the best decision with what I knew then?" and "Did I fail to gather information that was actually available to me at the time?"
2. Optimizing for immediate wins can lead to worse long-term outcomes
Always choosing the option that looks best right now: "winning" at every decision point, doesn't guarantee the best overall result. Sometimes the optimal path requires accepting short-term setbacks, costs, or seemingly worse positions in order to reach a better destination. Greedily maximizing at every step can trap you in local optima and prevent you from finding the global optimum.
I pretty much arrived at the same conclusion he did at some point in my life, but I didn't take it this far lol.
What I learned from 100 days of rejection
What I learned from 100 days of rejection
YouTube
What I learned from 100 days of rejection | Jia Jiang | TED
Jia Jiang adventures boldly into a territory so many of us fear: rejection. By seeking out rejection for 100 days -- from asking a stranger to borrow $100 to requesting a "burger refill" at a restaurant -- Jiang desensitized himself to the pain and shameβ¦
π2
mogn
The CEOβs Wife Is In Your Marketing Meeting
An interesting read. I wouldn't say engineering fields are totally immune to the problem marketing faces.
There are often numerous situations were there are multiple approaches to solving a problem. And more often than not, we (without being fully aware) fight/argue for the approach we come up with regardless of what is best for the product being built.
There are often numerous situations were there are multiple approaches to solving a problem. And more often than not, we (without being fully aware) fight/argue for the approach we come up with regardless of what is best for the product being built.
Forwarded from LinkUp Premium
Voice assistants, which can be woven into everyday tasks, are increasingly common in places. Yet, remain largely inaccessible because they support only a limited number of languages.
Eyobβs observation of this gap led him to create Rewina, an Amharic voice assistant that listens, understands, and acts. Can Rewinaβs early stages grow to Ethiopians using their phones with ease?
Read more: https://linkupaddis.com/app/articles/388
@linkupbusiness
Eyobβs observation of this gap led him to create Rewina, an Amharic voice assistant that listens, understands, and acts. Can Rewinaβs early stages grow to Ethiopians using their phones with ease?
Read more: https://linkupaddis.com/app/articles/388
@linkupbusiness
β€2
Ever wondered about how Nano Banana Pro is so damn good?
It was trained on Google Photos ππ
π3
Just do projects for yourself for fun. You'll get better and better. If you try to make such projects, unseen by others, as perfect as any human could, you'll develop skills that other professionals don't have.
β Steve Wozniak
π₯4
mogn
If you try to make such projects, unseen by others, as perfect as any human could, you'll develop skills that other professionals don't have.
This is a great advice if you're building for the sake of learning, but the worst advice if you're building to ship. The perfect product never gets released.
Perfectionsim is a bug not a feature.
Perfectionsim is a bug not a feature.
mogn
This is a great advice if you're building for the sake of learning, but the worst advice if you're building to ship. The perfect product never gets released. Perfectionsim is a bug not a feature.
Tech debt isn't real π
YouTube
Tech debt isn't real.
Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.
Developing for/with apple products is the most frustrating experience ever. It's like they go out of their way to make the developer experience/life miserable.
π3