KerryJones

I am also reading the Count of Monte Cristo -- I suggest reading up on its origin, it's fairly interesting.

I think about this all the time. The first several years of Laravel had just absolutely beautiful code to see (both from an engineering, OCD and aesthetic perspective)

Ive read quite a bit, including one of my favorite articles, "It's probably the phones": https://www.noahpinion.blog/p/honestly-its-probably-the-phon...

But then you kind of dove into the deepend there. Spy devices, 1984, etc. I think a more tempered approach is useful here

I'd like more common words?

"Baith" is incredibly esoteric.

This feels more nuanced than you are giving it credit for? Much of the training data that was available has been withdrawn, atleast for OpenAI we know that much of the training data was garnered in less-than above the board methods

Curious on your "Top" algorithm? I see many 1-voted items there.

Also, how do you vet your blogs?

"GPT 5.5 has already been shown to be as adept as Mythos at finding vulnerabilities."

Do you have any data on this (other than benchmarks)?

Most people would argue that Stadia would have many. Many people loved Google Reader. There are numerous examples of things that were great and were killed, because they hadn't monetized enough or "fast enough", and when you are chasing results on a quarterly basis, you can't always get things that will generate tremendous value with more time.

I think this is misleading as a few other folks say -- otherwise you'd expect Visa/Mastercard stock to drop dramatically at losing that many folks in a single announcement.

It seems like a good path forward is to somewhat try to replicate the idea of "once you can do it yourself, feel free to use it going forward" (knowing how various calculator operations work before you let it do it for you).

I'm curious if we instead gave students an AI tool, but one that would intentionally throw in wrong things that the student had to catch. Instead of the student using LLMs, they would have one paid for by the school.

This is more brainstorming then a well thought-out idea, but I generally think "opposing AI" is doomed to fail. If we follow a montessori approach, kids are naturally inclined to want to learn thing, if students are trying to lie/cheat, we've already failed them by turning off their natural curiosity for something else.

This is from 2022

- https://news.ycombinator.com/item?id=32409811 - https://www.experimental-history.com/p/why-arent-smart-peopl...

This is not necessarily true. Hypothetical, if most breakthroughs are coming from PHDs and they aren't making any PHDs, then that pool is not necessarily larger.

I recently interviewed for Anthropic, 6 rounds, recruiter was great, said they were putting together an offer letter. I met one of the managers, then another came back from vacation... and then they decided not to give me an offer.

I asked for feedback, and the recruiter sounded frustrated (about the internal process), because they had a moving bar on what was wanted from the hiring managers. I know I hadn't completely aced one of the interviews (they had me do a second one), and apparently they thought it was good enough on initial review, but when coming back to review it again it was not good enough.

It seems like they are going through growing pains as a company.

I'd be interested in this for different REI -- multi-family, storage, single family, co-living, sober living, etc.

Great job on the design. I like the idea here, but the app was unresponsive on Windows > Chrome to most clicks

Create a two-sided deal review app: https://dealcred.com

I work a lot with smaller investors, in real estate, private money lending, etc. It's sometimes hard to do due diligence on someone, and after having a couple bad deals and realize over 30 people were scammed, I wished there was a simple review site where you could see someone's past reviews.

Site is 80% there, hoping to enter beta in the next month.

I like this idea a lot -- feels like there's a lot of room to grow here. Do you have any sort of historical price tracking/alerting?

And/or also curious if there is a way to enter in a list of items I want and for it to calculate which store - in aggregate - is the cheapest.

For instance, people often tell me Costco is much cheaper than alternatives, and for me to compare I have to compile my shopping cart in multiple stores to compare.

I typed in "Avocado" and got a list of 20+ items, none of them being avocado.

Love the idea! Any chance you could get Mandarin?

Didn't know about this -- that's cool. I'm excited to see where it goes in the future

The title should mention this is from 2020

I read ~4 books a month via Audible, and tend not to find the time to add to Goodreads (maybe there's an auto connection I'm missing). I love the idea of systems like this (your design is beautiful) but there's no way I'm going to try to reimport all my ratings for 300+ books.

Is there anyway to sync with Audible? Even if it's a hacky chrome extension reading off the audible website?

Thanks for noting this -- it's actually pretty important in my work.

I complain about this all the time, despite me saying "ask me questions before you code" or all these other instructions to code less, it is SO eager to code. I am hoping their 3.7 reasoning follows these instructions better

This comes across more as styles than hats. Hat's, typically, refer to a "role description". Put on my "eng manager hat", put on my "product manager hat", not doing the same thing differently.

I'm not sure "style" is the right word, but "hat" feels like the wrong one.

Came here to ask for the same thing.

Based on what data? I've found them to be as accurate or more accurate (and the data I've seen says the same) except around sleep tracking, where Garmin is worse. But it's not hard to create a function to correct for that if you really care about it, it is good enough unless you need vanity metrics

[delayed]