Ask HN: Which recent research paper blew your mind?

243 points by froster 3 years ago | 114 comments

Ask HN: What are the best papers you read in your life?

53 points by toombowoombo 3 years ago | 32 comments

Ask HN: How do you learn and research every day?

37 points by velyan 2 years ago | 39 comments

Ask HN: Best resources on abstracting and dealing with complexity

24 points by tinktank 2 years ago | 17 comments

Ask HN: AI/ML papers to catch up with current state of AI?

135 points by hahnchen 2 years ago | 31 comments

Ask HN: What are your current programming pet peeves?

15 points by alexathrowawa9 1 year ago | 37 comments

Ask HN: Hearing aid wearers, what's hot?

321 points by pugworthy 11 months ago | 187 comments

An Ask HN thread where a long-time hearing aid wearer asks for current recommendations to replace a Phonak Audeo 90, with commenters suggesting options like active ambient IEMs.

Ask HN: Any insider takes on Yann LeCun's push against current architectures?

327 points by vessenes 1 year ago | 271 comments

Ask HN thread seeking expert opinions on Yann LeCun's argument that LLMs can't fix hallucinations and his proposed energy-minimization architectures.

Ask HN: Who is hiring? (April 2023)

381 points by whoishiring 3 years ago | 416 comments

Monthly Hacker News 'Who is hiring?' thread for April 2023 where company employees post job openings with location and remote/visa details.

Ask HN: Why did Python win?

398 points by MatthiasPortzel 3 years ago | 649 comments

An Ask HN thread asking why Python grew into a dominant programming language while Ruby, once similarly popular, stalled.

Ask HN: What is new in algorithms and data structures these days?

528 points by jvanderbot 3 years ago | 159 comments

Ask HN thread asking for recent notable research results in algorithms and data structures, with replies mentioning topics like CRDTs.

The Weird Nerd comes with trade-offs(writingruxandrabio.com)

392 points by jseliger 2 years ago | 416 comments

A Substack essay by Ruxandra Teslo arguing that academia should tolerate unconventional 'weird nerd' researchers and take human capital more seriously in science.