Recent submissions

Comment · 2 days ago
Thanks all for your feedback!

I added a few of them to the site:

- Games and AI section - NYTimes style comment section

Comment · 2 days ago
Sure. I'm currently working through a list of feedback items that people shared here. I'll add that to the list.
Comment · 2 months ago
I agree with some of what you listed here but a few I think are critical to being human. What's the point of not having needs?

Desires are what makes us human. I have kids and family and friends that love me and them in return but I don't believe that makes me weak. In fact it is the opposite, they give me the strength, confidence, and motivation to power through life.

I supoose not having any needs and desires would be an asset for a hitman.

Comment · 1 year ago
Here’s something I sometimes do to avoid boring content when using LLMs: I type out what it gives me and tweak it as I go instead of copy/pasting directly.

It helps me spot the bits that feel flat or don’t add much, so I can cut or rework them—while still getting the benefit of the LLM’s idea generation.

Comment · 2 years ago
Life expectancy was probably in the late 30s to early 40s during this time so you’re basically working for the rest of your life.
Comment · 3 years ago
I think the impact of AI is not between good jobs va bad jobs but between good workers and bad workers. For a given field, AI is making good workers more efficient and eliminating those who are bad at their jobs (e.g. the underperforming accountant who is able to make a living doing the more mundane tasks whose job is threatened by spreadsheets and automation)
Comment · 3 years ago
Why should people who don’t own cars pay for highways?

Why should cyclist have to pay for public transportation?

Also children now will be your future doctor, nurse, bus driver, scientist, plumber, etc. so probably worthwhile making an investment in public goods that support their development.

Comment · 5 years ago
Great work! I work in financial services and built a similar tool for sentiment analysis and topic modelling on transcribed earnings calls. The idea was to identify topics at a speaker-level (analyst, management, etc.) and evaluate the sentiment around that topic. For example, perhaps "foreign exchange" was discussed negatively by a given company in an earnings call, which would alert the analyst to review that call in greater detail.

Are you guys thinking about incorporating something like this into your product?

Live from the official Hacker News API

A modern reader for Hacker News · SvelteKit + Skeleton