sjkoelle
No user record in our sample, but sjkoelle has activity below (stories or comments). Likely we have partial data — the full bulk-load will fill profiles in.
No user record in our sample, but sjkoelle has activity below (stories or comments). Likely we have partial data — the full bulk-load will fill profiles in.
thats reasonable, but its a question of degree. for me gambling and predictions markets dont meet that bar
or even if they are pro-gambling jeez would you never be able to work with someone you disagreed with politically
trust the gooses
i just wish someone would explain why i prefer cline to claude code so much
Interesting that CRISPR was the top answer in 2015 too
lets be real we are gonna lose our jobs to these kids
Great name - Captain Hook recently hit public domain - would be a sick logo! (Disney stuff like red jacket still copywrited)
this happened to me. they refunded me after i contacted support!
Oceania has always been context engineering. Its been interesting to see this prioritized in the zeitgeist over the last 6 months from the "long context" zeitgeist.
article explains that it is not sizable
Can we get a shout out to the anti code review folks?
yeah im curious if people will end up liking it. sucks from my perspective.
is one function per file the righteous path here?
it depends how long of a leash you give it
amara must be this dataset https://en.wikipedia.org/wiki/Amara_(organization)
efficiency is not a given. also this is an eval set - they acknowledge the challenge themselves. imho this is v cool
Would this generate the same completion for 'the cat sat on the' as 'on the cat sat the'?
Marvelous! What gain beyond zero-shot would motivate a humble citizen to implement this instrument? How was the superiority assessed?
The title alone is a teensie bit hilarious
is this like https://icps.u-strasbg.fr/people/bastoul/public_html/researc...?
the interesting advance in the anthropic/mats research program is the application of dictionary learning to the "superpositioned" latent representations of transformers to find more "interpretable" features. however,…
always amazing how ahead of the big data curve the graphics people have been
striking how closely ij good's conception of machine superintelligence is matched today http://incompleteideas.net/papers/Good65ultraintelligent.pdf
Anyone who has written a classifier using an LLM knows how important this is. Great contribution!
How much of this is due to DNNs (e.g. VAEs but also others) forcing embeddings to distribute in a Gaussianish manner? Is the data intrinsically missing geometry or could a more subtle learning algorithm give a cleaner…