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i didn't think people would beat gdm at pretraining in the short future, as i read the kimi report I have been proven wrong
jianlin su and team for nope and kda🫡🫡
Liner is partnering with @spoticlr at #ICLR2026 — supporting Best Paper and Travel Awards for LLM research.
And to celebrate, we're giving away:
✈️ Round-trip flights + hotel to #ICML2026 in Seoul
🎁 $300 Liner Credits
Follow @search_liner + repost to enter by 4/27.
Liner is built for research workflows. Find papers, verify sources, and write with citations in one place.
See you in 🇧🇷 and 🇰🇷!
@iclr_conf@icmlconf
@agihippo this logically makes so much sense to me
as an undergrad hoping to get into a phd, almost all profs require papers and usually don't care about works not accepted to these venues
hamiltonian mechanics is so pretty, the geometry of it all is so pretty. the first time I understood these cotangent bundles and fibres it was all so lovely (especially from someone who writes a fair amount of langrangian-based simulators)
everything that moves is going to be a robot
- nvidia keynote at siggraph
everything you see is going to be generated by an ai model
- nvidia sometime somewhere
I feel like I have changed so much in the past 1 year
particularly in the last week I have become very emotionally mature in the past: I have decided I can watch other doctor who apart from the 10th and 11th doctor too
wow I have been wrong so many times now in just the past some time, i used to think:
- sft gets you some new very niche capabilities
- process supervision is important
- rl produces good reasoning chains
- reasoning chains improve performance
- rl + vl would be good supervision