arxiv.org/abs/2602.00929
"Now that phantom citations hallucinated by LLMs have been found in NeurIPS papers, what is to be done? Develop a software tool that authors are expected to run to verify their references in Google Scholar. Next, conferences use it to screen papers, and desk reject violators."
The conclusions mirror my (and many other practitioners') conclusions: if you use AI critically and engage both with the question and the answer, it has a net positive impact on both learning and productivity
The conclusions mirror my (and many other practitioners') conclusions: if you use AI critically and engage both with the question and the answer, it has a net positive impact on both learning and productivity
forum: harrumph! disappointing that X doesn't do Y
forum: harrumph! disappointing that X doesn't do Y
a network of minds enhanced by better search, better typing and perhaps better hypothesis generation
It’s vibe coding, but for science.”
a network of minds enhanced by better search, better typing and perhaps better hypothesis generation
For one I'd be very interested to see/pursue "smol" versions of this that don't rely on Big Model to be always available
it's fun to make jokes about gas town and other complicated orchestrators, and similarly probably correct to imagine most of what they offer will be dissolved by stronger models the same way complicated langchain pipelines were dissolved by reasoning. but how much will stick around?
For one I'd be very interested to see/pursue "smol" versions of this that don't rely on Big Model to be always available
#introduction Here I bleet about;
* assorted numerical, ML/AI nuts&bolts
* research: languages (natural, artificial, compilers), interpretability, formal verification, interesting LLM experiments, etc
#introduction Here I bleet about;
* assorted numerical, ML/AI nuts&bolts
* research: languages (natural, artificial, compilers), interpretability, formal verification, interesting LLM experiments, etc
the "least effort" theory: both kids mixed words from the various languages to produce their first sentences, _as long as they are short_
1/n
the "least effort" theory: both kids mixed words from the various languages to produce their first sentences, _as long as they are short_
1/n