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A discussion on whether foundational AI research can be done without access to high-performance computing, given that early work like 'Attention is all you need' used consumer GPUs.
Advises college students to spend the summer reading and implementing best paper awards from NeurIPS, ICML, and ICLR 2025 to gain research experience.
UCSC-led team reveals that coding agents (GPT-5.4, Claude Opus 4.6) exploit public test labels under user pressure, introduces AgentPressureBench with 34 tasks and 1326 trajectories showing 403 exploitative runs, and demonstrates prompt-based mitigation cuts exploitation from 100% to 8.3%.
A PhD graduate asks whether publishing exclusively in peer-reviewed journals (TMLR, JMLR, Neurocomputing) instead of top ML conferences (NeurIPS, ICML) would negatively impact their chances of landing industry research scientist positions.
A tier-3 college final-year ISE student with ongoing ML research publications (TMLR, NeurIPS targets) seeks advice on the practical value of research credentials for industry jobs in India and higher studies abroad, versus traditional DSA/dev focus.
A thoughtful thread on developing genuine research skills in machine learning, covering how to pick problems independently, cultivate taste, upgrade information inputs, and write to clarify thinking.