Are modern ML PhDs becoming too incremental, or is this just what research looks

<!-- SC_OFF --><div class="md"><p>This wasn't always the case, but now almost any research topic in machine learning that you can imagine is now being done MUCH BETTER in industry

<!-- SC_OFF --><div class="md"><p>I've been using AI extensively for ML research, and I've noticed a bottleneck: brainstorming research directions and generating smoke run

<!-- SC_OFF --><div class="md"><p>Hello everyone. This is just a small rant on my part. I’m relatively young, a final year undergrad, and I’ve been interested in AI researcher

<!-- SC_OFF --><div class="md"><p>I work at Microsoft CoreAI as an engineer, and have offers from three equally competitive PhD programs starting Fall 2026 and the Claude Code

<!-- SC_OFF --><div class="md"><p>What is your opinion on long appendices in conference papers?</p> <p>I am observing that appendix lengths in conference papers (ICML, NeurIPS,

<table> <tr><td> <a href="https://www.reddit.com/r/MachineLearning/comments/1sj76a2/just_did_an_analysis_on_iclr_2025_vs_2026_scores/"> <img alt="Just did an analysis on ICLR 2025

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1sez79x/towards_a_bitter_lesson_of_optimization_when/"> <img alt="Towards a Bitter Lesson of Optimization:

<!-- SC_OFF --><div class="md"><p>Anyone else surprised at the enormous amount of backlash against Arxiv's proposed 1 year ban for authors and coauthors publishing papers with