GAP Locations

I (43 m) I’m dating a 37-year-old woman from Venezuela. Because of the distance she comes to my house for the weekend about twice a month. We have been dating for about three months so to me the relationship still feels pretty fresh. Long story short when I was at work she was cooking and I told her to organize the cabinets if she wanted because she was bored. This turned into her organizing my entire closet. She went through all of my drawers and folded all of my clothes. At first, I thought it was pretty cool, but the more I thought about it, it seemed kind of weird to me. If it was me, I would never go through her personal things without asking. Just wondering if people think this i...

I’m glad I looked inside this dusty old travel case at the thrift store! Inside was this lovely Madame Alexander Cissette ballerina, and this Vogue Ginny bent-knee walker doll, along with a wardrobe full of original and handmade clothes. I love the poodle skirt in particular!

What is the best thrift store to donate to in Seattle? Bonus points if it’s in Ballard. Is there a thrift store with convenient donations or a place that supports a good cause? I have a bunch of women’s and boys clothes to donate but really don’t love Goodwill. I also have some household items.

Here's something most people don't realize: reading something once creates the illusion of learning. You finish a chapter, watch a video, take notes, and it feels like it stuck. But when you try to recall it a week later? Gone. This isn't a memory failure. It's a learning design failure. ## The Problem: Passive Input vs. Active Retrieval Your brain doesn't care how information enters. It cares about whether you can pull it back out under pressure. Cognitive science calls this "retrieval practice," and it's the single most effective learning technique we have. When you passively consume (reading, watching, listening), your brain tags it as "in...

During my last trip to Peru, I had this exact conversation with other travelers about [good souvenirs from Peru](https://www.quechuasexpeditions.com/good-souvenirs-from-peru/) and what souvenirs are actually worth buying here. Not the random airport gifts or the mass-produced keychains. Personally, I prefer souvenirs that I can use in my daily life. Something practical, something with real value, not just something that ends up stored in a drawer. Based on that, here’s what I think are genuinely good souvenirs in Peru. Alpaca wool clothing is probably one of the best purchases if you choose carefully. A good alpaca sweater or scarf is warm, durable, and something you will actually wear. ...

[Previous](https://www.reddit.com/r/HFY/comments/1ocr0mb/longest_detour_chapter_7/) [First](https://www.reddit.com/r/HFY/comments/1fyf7ir/longest_detour_chapter_1/) CW: Depictions of Slavery The door opened slowly. It was old. It opened with hinges and not with electricity or hydraulics, that the previous doors had. It opened with a terrible screech that clawed at their \[ears\]. It opened in a fashion that made Aiolic regret all the horror holoplays she'd been dared into watching as a youth. They were precisely in such a moment where something awful would be standing behind the door. An enclosed passage with nowhere to fly, it was almost silly how well it fit.   There was ...

tl:dr: We're facing problems with implementing some human nuances to our chatbot. Need guidance. We’re stuck on these problems: 1. Conversation Starter / Reset If you text someone after a day, you don’t jump straight back into yesterday’s topic. You usually start soft. If it’s been a week, the tone shifts even more. It depends on multiple factors like intensity of last chat, time passed, and more, right? Our bot sometimes: dives straight into old context, sounds robotic acknowledging time gaps, continues mid thread unnaturally. How do you model this properly? Rules? Classifier? Any ML, NLP Model? 2. Intent vs Expectation Intent detection is not enough. User says: “I’m ti...

tl:dr: We're facing problems with implementing some human nuances to our chatbot. Need guidance. We’re stuck on these problems: 1. Conversation Starter / Reset If you text someone after a day, you don’t jump straight back into yesterday’s topic. You usually start soft. If it’s been a week, the tone shifts even more. It depends on multiple factors like intensity of last chat, time passed, and more, right? Our bot sometimes: dives straight into old context, sounds robotic acknowledging time gaps, continues mid thread unnaturally. How do you model this properly? Rules? Classifier? Any ML, NLP Model? 2. Intent vs Expectation Intent detection is not enough. User says: “I’m ti...

tl:dr: We're facing problems with implementing some human nuances to our chatbot. Need guidance. We’re stuck on these problems: 1. Conversation Starter / Reset If you text someone after a day, you don’t jump straight back into yesterday’s topic. You usually start soft. If it’s been a week, the tone shifts even more. It depends on multiple factors like intensity of last chat, time passed, and more, right? Our bot sometimes: dives straight into old context, sounds robotic acknowledging time gaps, continues mid thread unnaturally. How do you model this properly? Rules? Classifier? Any ML, NLP Model? 2. Intent vs Expectation Intent detection is not enough. User says: “I’m ti...

tl:dr: We're facing problems with implementing some human nuances to our chatbot. Need guidance. We’re stuck on these problems: 1. Conversation Starter / Reset If you text someone after a day, you don’t jump straight back into yesterday’s topic. You usually start soft. If it’s been a week, the tone shifts even more. It depends on multiple factors like intensity of last chat, time passed, and more, right? Our bot sometimes: dives straight into old context, sounds robotic acknowledging time gaps, continues mid thread unnaturally. How do you model this properly? Rules? Classifier? Any ML, NLP Model? 2. Intent vs Expectation Intent detection is not enough. User says: “I’m ti...

1.6 million drivers. Five manufacturers. £6 billion potentially at stake. Closing submissions began today in the High Court. A verdict is expected this summer. Here is everything you need to know. Ten years after a Volkswagen engineer walked into the US Environmental Protection Agency's offices and admitted the company had been cheating emissions tests on a global scale, the British legal system is attempting to answer a question the original Dieselgate scandal left hanging: was it just VW? Closing submissions in the Pan-NOx group litigation, officially the largest consumer group action in English and Welsh legal history, began in the High Court today before Lady Justice Cockeril...

tl:dr: We're facing problems with implementing some human nuances to our chatbot. Need guidance. We’re stuck on these problems: 1. Conversation Starter / Reset If you text someone after a day, you don’t jump straight back into yesterday’s topic. You usually start soft. If it’s been a week, the tone shifts even more. It depends on multiple factors like intensity of last chat, time passed, and more, right? Our bot sometimes: dives straight into old context, sounds robotic acknowledging time gaps, continues mid thread unnaturally. How do you model this properly? Rules? Classifier? Any ML, NLP Model? 2. Intent vs Expectation Intent detection is not enough. User says: “I’m ti...

tl:dr: We're facing problems with implementing some human nuances to our chatbot. Need guidance. We’re stuck on these problems: 1. Conversation Starter / Reset If you text someone after a day, you don’t jump straight back into yesterday’s topic. You usually start soft. If it’s been a week, the tone shifts even more. It depends on multiple factors like intensity of last chat, time passed, and more, right? Our bot sometimes: dives straight into old context, sounds robotic acknowledging time gaps, continues mid thread unnaturally. How do you model this properly? Rules? Classifier? Any ML, NLP Model? 2. Intent vs Expectation Intent detection is not enough. User says: “I’m ti...

I have read the instructions, i have watched the tutorials, i’ve tried with or without a cloth; i’ve tried pulling on them straight (from the base of course!) or wiggling them around, i’ve tried with barely any force and with literally all the strength i’ve got in my fingers but i can not for the life of me remove this foam tip (at least not without breaking it) as you can see it’s now starting to rip, does that mean it’s already beyond saving or do you have any more ideas I managed to remove the tip on the other airpod and although I did need much more force than expected (at least the first time), it took maybe 2 minutes; i’ve been struggling with the other one for at least...

tl:dr: We're facing problems with implementing some human nuances to our chatbot. Need guidance. We’re stuck on these problems: 1. Conversation Starter / Reset If you text someone after a day, you don’t jump straight back into yesterday’s topic. You usually start soft. If it’s been a week, the tone shifts even more. It depends on multiple factors like intensity of last chat, time passed, and more, right? Our bot sometimes: dives straight into old context, sounds robotic acknowledging time gaps, continues mid thread unnaturally. How do you model this properly? Rules? Classifier? Any ML, NLP Model? 2. Intent vs Expectation Intent detection is not enough. User says: “I’m ti...

tl:dr: We're facing problems with implementing some human nuances to our chatbot. Need guidance. We’re stuck on these problems: 1. Conversation Starter / Reset If you text someone after a day, you don’t jump straight back into yesterday’s topic. You usually start soft. If it’s been a week, the tone shifts even more. It depends on multiple factors like intensity of last chat, time passed, and more, right? Our bot sometimes: dives straight into old context, sounds robotic acknowledging time gaps, continues mid thread unnaturally. How do you model this properly? Rules? Classifier? Any ML, NLP Model? 2. Intent vs Expectation Intent detection is not enough. User says: “I’m ti...

tl:dr: We're facing problems with implementing some human nuances to our chatbot. Need guidance. We’re stuck on these problems: 1. Conversation Starter / Reset If you text someone after a day, you don’t jump straight back into yesterday’s topic. You usually start soft. If it’s been a week, the tone shifts even more. It depends on multiple factors like intensity of last chat, time passed, and more, right? Our bot sometimes: dives straight into old context, sounds robotic acknowledging time gaps, continues mid thread unnaturally. How do you model this properly? Rules? Classifier? Any ML, NLP Model? 2. Intent vs Expectation Intent detection is not enough. User says: “I’m ti...

Keiichi Tanaka is my favorite CdG designer next to Rei, and it's a shame how unknown he is to Western audiences. So I've made a video covering everything I could find on his works, including a piece I own and love dearly. Since there's zero resources about him on the internet, I've also transcribed and translated (with machine assistance) an archive interview with Tanaka and Rei from Apr. 1997 MR High Fashion. [Also available on Substack with images](https://metonymchannel.substack.com/p/keichi-tanaka-of-cdg-homme-set-the) --- # The Inheritance and Evolution of Good Taste ### The Aesthetics of Restraint “Is there really such a thing as complete freedom? I doubt it....

How do these women get through everyday life?

So yesterday I was meeting up with my friends and decided to grab a quick snack to eat while I'm on my way. I visited this convenience store and while buying my stuff the cashier complimented me about my makeup and clothes and that on it's own was very affirming to me. I had to wait for a few minutes there before I got my food. While waiting, the same cashier started talking to me again. They began by asking me how long did it take. I was kind of consumed about that question and asked to clarify and they said that they thought I was trans. I was not surprised I was clocked, I still have a long way to go with my voice training and the fact that I'm still recovering from bei...