plants

This is awesome! StreetEasy is how many New Yorkers find apartments. In the past few years, it has been flooded with AI-staged apartments. The AI stagings warp the room to fit furniture that would 100% certainly not fit there. It’s deceptive, and I’m glad it at least requires disclosure now (although I wish it were fully banned)

Those are incredible stats. As a vegan who uses LLMs at work frequently, I would love to have the source as well :)

This is really neat! I work in machine learning but still feel imposter syndrome with my foundations with math (specifically linear algebra and matrix/tensor operations). Does anyone have any more good resources for problem sets with an emphasis on deep learning foundational skills? I find I learn best if I do a bit of hands-on work every day (and if I can learn things from multiple teachers’ perspectives)

> Recommendation of profiles that you may like is a solved technical challenge at Tinder level and at mostly any dating app today.

It’s hard to take the rest of the article seriously after reading this!

I’m in the shortest-shorts camp too. Less about the UL-value of the shorts, more about the mobility to lift my leg as high as I can (specifically to reduce friction going uphill). When you take literally millions of steps on a thru-hike, even the smallest things start to add up.

This is great. Found myself on 5/30/22. Looking forward to catching up with photos of people I hiked with. Also love the pics from ‘79 - total time capsule! Short-shorts never went out of style in the hiking community.

I’ll bite. I worked at a very large Fortune 500 company for a few years. Through some twist of fate, I ended up on an overfunded ML organization that was under no pressure to produce anything of business value. The executive in charge of this operation let this fly for about a year before they realized they weren’t getting anything valuable out of it. They put pressure on the VP of the org to start producing business value or else.

Fast forward another month or so and there are six hastily thrown together initiatives in which our organization is contracted to other organizations to “help them out”. The team dynamics were atrocious - our team was met with skepticism as to why we were helping out (was the other team not doing their job well enough?), and people on our team were often clueless on the business subject matter that we were supposed to be consulting on.

I was assigned to one of these initiatives, and upon digging into the business problem, our team realized that the feature importance was completely contained within a single categorical feature in the model. All other features in the model were comparable to uniformly randomly generated features. In the selfish interest of being able to claim that they “solved their problem with ML”, it was clear that either the model developer or the team at large had obscured this fact.

In an effort to save face, the VP kept us on the project, despite the poor relations and lack of useful features to improve the model. We didn’t improve the model and eventually, the VP ended up being “pushed out”. Last I checked, this VP is currently the CEO of a startup that recently raised a $100M seed round.

I imagine that’s just about the starkest within-US move you could make with regard to bike friendliness. I once made the mistake of visiting Houston without a rental car, and it was bleak. Welcome to NYC!

This is such a good idea, I wish I’d thought of it. I have trouble maintaining consistency in journaling, but this makes it a heck of a lot easier. I just signed up - good luck!

This is great. I remember finding another really good resource on the Bernoulli bandit that was interactive. Putting feelers out there to see if anyone knows what I’m talking about off the top of their heads.

I’m in a bit of a privileged position, but I took a fair bit of time off to pursue personal goals. I got extremely burnt out after 6 years of full-time work at big corp (simultaneously being in part-time grad school for the final 3 years).

I found it took me 3-4 months of absolutely nothing to not feel burnt out. It took much longer than that to get to a point where I was able to pick up my computer and have fun programming again. I’m now working on a webapp that I intend to turn into a business. I have been pouring myself into it in a way that I haven’t done since I was a new hire.

Hang in there. Maybe ask your boss if you can take an unpaid sabbatical. You will ultimately be much more productive if you get a break, and the time off will give you a chance to clarify to yourself what it is that you want.

I’m unemployed in NYC right now - so, zero consistent income. I’m one of those people with the very worst marketplace health plans. Here’s what I get for $640/mo (with a $120 tax credit, oh boy!): - Visits to my general practitioner (but not so fast! no diagnostic tests or ANYTHING else - those are 100% out of pocket until my $9,000 deductible is met) - Pregnancy care (it’s currently a biological impossibility for me to give birth)

Everything else is entirely out of pocket until my $9,000 deductible is met. My coverage is basically a $6,000 guarantee that I won’t be completely bankrupted if I get run over by a garbage truck and live to tell the tale. Otherwise, it’s completely useless. Something’s gotta give.

This is what infuriates me the most about healthcare in the US. I give someone my card, they enter the numbers with no indication of whether or not everything will be covered by insurance (they assume you just know).

Then, a month later, I receive a bill indicating a routine procedure that I assumed out of ignorance was covered by insurance (since they took my card and entered the numbers without saying anything to the contrary) for $500 (or, god forbid, more).

If I knew a salad at a restaurant were $200, I probably wouldn’t order it. There is no basic transparency in medical billing, and that needs to change.