73 karma · joined June 15, 2018
> That, collectively, we can begin to change our relationship with our bodies and start to ask questions like: if we can catch things early, can we change our lifestyles to correct them?
We can already ask this question...
> And seeing our bodies change over time, alongside our actions, how much can we improve our health, our minds, and our lives?
Again, we can already ask this question
> We think it's completely possible that with enough early imaging in the future, the world could avoid 30% of all deaths and 50% of all healthcare costs. The cultural, physical, and mental health benefits of all of this are hard to comprehend, but also hard to overstate.
What? I have no idea what is meant here by "hard to overstate".
> You want as much data as you can get about your health as quickly and as cheaply as possible. In other words, you want a technology optimized for getting as many “megabytes per second per dollar” of information about your body.
Thanks for including the "megabytes per second per dollar" unit breakdown, I didn't understand the first sentence at all without that!
> And we live longer, healthier lives, better lives.
More AI slop
> When you step into the water, you’re standing on top of a platform. The platform is connected to rails and begins to descend into the water - an elevator gently lowering you at around 2 inches, or 5 centimeters, per second.
More AI slop. You'd only be done in 60 seconds if you're exactly 5 feet tall
I understand the YouTube titles have to be kind of clickbaity but that to me doesn't indicate confidence that I'm going to be reading or watching something worthwhile. Just my two cents.
Isn't Apple infamous for siloing information amongst its departments such that almost nobody grasps the full extent of what is being built?
Source: sufficiently smart chemical engineer
My thoughts:
1. ChatGPT can do this trivially.
2. It’s a reasonable amount of things to read through and understand. Reminds me of a project from my CS masters program (Georgia Tech) where most of the difficulty is in parsing the instructions and figuring out what’s required (not that it’s a bad thing, just an observation).
3) I would maybe consider dropping the word “fun” from “we would like you to complete a fun coding exercise”. Job interviews are not fun in general and this exercise doesn’t seem that fun to me!
> lets talk in discord for a fun time ;) wink wink my tag is: Apostrasia#0878
The second question in particular drops the potential implicit assumption that only 100 people stand in line each day.
I face this issue in my CS masters program constantly, and would probably have failed this test much the same as GPT did.
Also even at the level of your local places, after eating the amount of pizza you do in New York you can tell small differences in quality such that you will seek out specific places in a certain radius.
But I also went right to Peep Show, which I thought would be interesting to see discussions of!
I thought this line from the article was interesting:
> Online sign-ups are especially challenging for older people, perhaps the worst group to beta-test a new system.
I think I understand the author's intent when saying "worst group", but in this case I can't imagine a better group. They're literally the first people who will need to be using this system! If you beta-test your product with the people who will be able to use it despite all of its flaws, is that really testing?
Anyway yeah, just upset at this comment given that I have family members struggling with all this vaccine appointment software.
Would be grateful if anyone could explain the significant differences between the two.
> It also encourages the developer to keep pull requests small, ensuring a feature is developed in many small pull requests (or at the very least comprising of many atomic commits).
I am of the opinion that pre-commit reviews also encourage small pull requests, if only to make it easier on reviewers -> easy review hopefully leads to fast approvals.
> It also allows the reviewer to batch reviews, so they are reviewing a number of changes in one fell swoop, as opposed to being constantly interrupted for code reviews.
This I can see being a potential benefit depending on the workflow. You could technically do the same pre-commit by working on a longer branch and putting that up for review as well.
> In my own experience, this reduces nitpicking on the reviewer’s part, and in the event the reviewer does nitpick, it allows the developer to address the minor concerns at their leisure.
Nitpicks are what they are, and shouldn't block a PR in the first place, so not sure how much benefit this would be.
> If a design document has been clearly fleshed out and agreed upon before the code is implemented, the implementation will not comprise of any major surprises to the reviewer.
That depends - the design may have been agreed upon by someone, but not necessarily by the reviewer. There may still be major surprises, which will be harder to fix post merge than pre merge.
> This means that the reviewer can have a fair degree of confidence that the change is functionally correct and has undergone extensive testing before they review it.
This seems brittle when there are lots of changes going on at once. It may be hard to narrow down if something works or not.
> Building trust and learning how to work well as a team takes time.
I think this line makes it clear to me where my difference in opinion is. I don't even necessarily trust my own code!
What are other similar games that have a higher level of variation? Go comes to mind. How about we increase the size of the chess board to 9x9, while keeping the same 8x8 setup? That sounds like a number of variations more than no castling, while still keeping the same feel.
How will this degree appear on my diploma and/or transcript? The name "Online Master of Science" is an informal designation to help both Georgia Tech and prospective students distinguish the delivery method of the OMS program from our on-campus degree. The degree name in both cases is Master of Science in Computer Science.
The point stands that it would be relatively easy to know which version someone completed (you worked in New York but got a masters at Georgia Tech?). I personally believe the value to be roughly equal to a "real" degree.