Whew! Thanks — I am glad to hear that.
Профиль
Ted Underwood
Профиль VivelyUses machine learning to study literary imagination, and vice-versa. Likely to share news about AI & computational social science / Sozialwissenschaft / 社会科学 Information Sciences and English, UIUC. Distant Horizons (Chicago, 2019). tedunderwood.com
⟳ Репост от Ted Underwood
I thought sycophantic models were bad but then they all got nit-picky instead.
Ted Underwoodman, I miss sycophantic models these ones, if you thank them for answering a question, they're like "not so fast! — I answered the question you posed, but didn't address possible blind spots in the question framing itself"
⟳ Репост от Ted Underwood
Kudos to #ICLR2027 PCs for taking strong actions 👏 I like they keep it open to new people, mitigating a risk of "AI slop" Submission cap should be much lower, say 5 papers per author, unless their contribution is significant and they offer quality review workforce accordingly
Gautam KamathICLR 2027 has authorship quotas: - No more than 20 submissions per author - No more than 1 submission where no author has a paper previously accepted to a major ML conference From iclr.cc/Conferences/...
⟳ Репост от Ted Underwood
Thinking Machine releases Inkling-Small as open-weight. Inkling-Small is a Mixture-of-Experts transformer with 276B total parameters, 12B active. thinkingmachines.ai/news/inkling...
⟳ Репост от Ted Underwood
PSA: VADER was created over a decade ago, and we have many newer and better tools for sentiment analysis, including efficient methods (mostly fine-tuned BERT variants). It's not hard to tune your own model, and there are 15k (!) models ready to go on Hugging Face! huggingface.co/models?searc...