The same company that applied absurd valuations to AI infra (see below) - I agree with the 'repricing' assessment to a severe degree, but what is one of the main investor's intention here?
Cliche topic - from a few years ago (the "RAG is dead" vs "All You Need Is Advanced RAG" BS - it came in waves and cycles, spread by bots on social media networks).
"Pruning RAG Context" is trying to recycle the old stuff (again), presuming the reader is naive (implies kapa.ai is not going anywhere). The current cycles were "openclaw" (I think that died), now we are on "harnesses" - when that dies the paid social media bots will give you something else. Shell game.
Just declare / define dictionary as a variable in your prompt to carry forward (when you decide to continue using LLMs for certain things). Also either summarize or truncate history. 3-4 year old concept. Not a big thing.
Article is authored by a private credit firm who assigned absurd valuations to AI infra (see below as an even super recent example) - what is their intention by writing this (is it due to the AI fear narratives around software investments they also hold that drive ppl to withdraw their holdings in Apollo?)
Great viz; the original paper wasn't peer reviewed; it might be great but I've learned its a waste of time to read those in current times (sorry and take this as one data point that suggests they should have done that).
That said, I've found FAISS great for certain use cases; wanted to say thx for surfacing - its not updated to work with most packages these days outside of faiss-cpu - curious why Meta dropped its maintenance; was it due to its slower speed or otherwise priorities?
Smart guy phoning it in now - realized a few weeks ago that he “notices” something interesting to share, but is really paraphrasing a recently released paper that found it - without giving paper credit.
Ezra Klein - any premise he has had in past 1-2 years is built on a maligned belief in AGI that is unscientific. Have heard he recently pivoted eg “moved goal posts” for his AGI timeline but the guy appears to be wasting time following delusional trends, this piece included.
I've spent about an hour a week on this since Jan. Traced a large % of bogus news stories this year back to Reuters (fwiw) before they are picked up by other outlets and spread.
I've found legitimate stories also sourced from Reuters, but haven't found illegitimate stories NOT sourced from Reuters (in other words, they seem to originate from the same source, not sure why)
Exactly - AI allows for intersections in concepts from training data; up to the user to make sense of it. Thanks for stating this (I end up repeating same thing in every conversation, but is common sense).
https://peinsights.substack.com/p/apollo-and-blackstone-clos...