If you want a fun game with great story telling, BOTW wins for me, unlocking all of the story required exploration and learning the map in a way that TOTK ignored.
If you want more robust fighting mechanics and a world that 2x bigger and a sandbox creative mode for the last 1/3 of the game, TOTK wins.
That AI was trained on absolute mountains of data that wasn’t ethically gained, though.
Just because an emerald ring is assembled by a local jeweler doesn’t mean the diamond didn’t come from slave labor in South Africa.
We also have a chronic disposition toward optimism. You know “the American dream” and all that.
So a disease with a 10% mortality rate has a 90% survival rate. And 90% is bigger than 50%, so when you factor in chronic optimism it’s basically a 100% survival rate in our brains.
Yes, I do think people posting their “artwork” in ai subs are dumb. And I use AI all day where it excels at solving business problems, pattern recognition and outlier detection. But using gen AI to mask lack of creativity or talent is a scourge on humanity.
And subbed.
Personally, if I see AI content I block the user that posted it. If a community is all about AI, I block the community. I want to see content from people that have actual talent or something intelligent to contribute.
Also, managers generally don't like their people going to HR about things without already knowing the situation ahead of time.
Yep. This part. Even if you convince HR, your manager will be able to come over the top and say no. And if they feel like you are an HR risk, that’s exactly what will happen.
We had to write a classifier for web traffic at a prior employer using known scraper IPs as our training set, and Chrome on Linux got us over 70% of the way there. A sizable number of bots that are just a $5 a month Linux based VPS with selenium and chrome engine.
And scrapers/bots. These make up a staggering amount of web traffic and Linux dominates server land.
Yep. “What’s the most interesting project you’ve been a part of” is my favorite. Same vane, opened the door to so many follow ups.
So often it’s “how do you translate temporal data for a random forest model” and then see run headlights as I have to explain the word temporal and then how feature selection for machine learning actually works.
They are literally only taught the Python code now, with no explanation of why, how, or when certain tools are appropriate. Real “Bang on a nail with a screwdriver long enough” level education.
As an employer who hires folks in the data science field, I’ve become more disappointed in recent college graduate job-readiness every year for the last decade. At this point I’d prefer a resume to say “watched 100 hours of YouTube videos about data science” over a masters in the field.
And these poor people have 100k in student loan debt with no marketable job skills and are competing against 10s of thousands of other recent grads with no marketable job skills and college has created a lose-lose environment.
No wonder enrollment is dropping, the cost of the education is absolutely not worth it and people are starting to see it.
Whoosh
You