Big Companies vs. Startups (2015)(danluu.com)

40 points by fzliu 2 years ago | 39 comments

Microsoft Is Dead[2007](paulgraham.com)

62 points by rolph 2 years ago | 98 comments

Does anyone remember websites?(tttthis.com)

31 points by lr0 1 year ago | 37 comments

Microsoft Is Dead: The Cliffs Notes (2007)(paulgraham.com)

5 points by dotcoma 2 years ago | 1 comments

I kind of killed Mercurial at Mozilla(glandium.org)

252 points by sylvestre 2 years ago | 188 comments

Compare Google, Bing, Marginalia, Kagi, Mwmbl, and ChatGPT(danluu.com)

856 points by 882542F3884314B 2 years ago | 433 comments

Dan Luu blog post comparing search result quality across Google, Bing, Marginalia, Kagi, Mwmbl, and ChatGPT using sample queries.

Microsoft hasn't had a coherent GUI strategy since Petzold(jsnover.com)

748 points by naves 6 months ago | 529 comments

Jeffrey Snover's blog post arguing Microsoft has lacked a coherent Windows GUI development strategy for decades since the Petzold-era Win32 programming.

Roblox is the biggest game in the world, but is unprofitable(matthewball.co)

399 points by mfiguiere 2 years ago | 471 comments

Matthew Ball essay analyzing Roblox's scale as the world's biggest game and why the company remains unprofitable.

We have used too many levels of abstractions(unixsheikh.com)

674 points by riidom 3 years ago | 427 comments

An opinion essay on unixsheikh.com arguing that the software industry relies on too many layers of abstraction, leaving few people who understand how the underlying technology works.

On the Nature of Time(writings.stephenwolfram.com)

326 points by iamwil 2 years ago | 221 comments

Stephen Wolfram essay arguing that time is best understood computationally, as the progressive application of computational rules by the universe.

Nobody knows how to build with AI yet(worksonmymachine.substack.com)

475 points by Stwerner 1 year ago | 368 comments

Scott Werner's Substack essay arguing nobody yet knows how to build software with AI, drawing on building Protocollie in four days without touching the code.

Why I'm still bearish on LLMs after Navier-Stokes(dank.systems)

426 points by jaykru 1 month ago | 552 comments

Personal blog essay by Jay Kruer arguing LLMs remain overhyped despite headline results like Navier-Stokes, citing poor generalization, reward hacking, and specification costs.