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Anytime the words “AI” or “crypto” show up in a thread, the collective IQ of this place drops by 50% If you want some of the worst takes possible on emerging tech, come to HN But if you want an obscure hack that improves garbage collection in java by 0.1%, also come to HN
I think their vending machine project might need to succeed before you should trust Claude for investment advice: https://www.anthropic.com/research/project-vend-1 Fun aside, finance and code can both depend critically on small details. Does finance have the same checks (linting, compiling, tests) that can catch problems in AI-generated code? I know Snowflake takes great pains to show whether queries generating repor…
I disagree. Claude may fail at running a vending machine business but I have used it to read 10k reports and found it to be really good. There is a wealth of information in public filings that is legally required to be accurate but is often obfuscated in footnotes. I had an accounting professor that used to say the secret was reading (and understanding) the footnotes. That’s a huge pain in the neck if you want to com…
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All models hallucinate. The likelihood of hallucinations are however strongly influenced by the way you prompt and construct your context. But even if a human went through the documents by hand and tried to make the analysis, they're still likely to make mistakes. That's why we usually define the scientific method as making falsifiable claims, which you then try to disprove in order to make sure they're correct. And…
> hallucinations are however strongly influenced by the way you prompt and construct your context. Show me the research supporting this argument. So far RAG and similar approaches is what limits hallucinations.
It's automatically retrieving information and adding it to the context. It's -in spirit- a convenience function so you don't have to manually provide it during the prompt. It's just a lot harder to pull off well automatically, but the fundamental practice is "just" context optimization
You're essentially saying "but that's not driving!!!!" After someone goes by in an EV, because it's ain't an ICE
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> hallucinations are however strongly influenced by the way you prompt and construct your context. Show me the research supporting this argument. So far RAG and similar approaches is what limits hallucinations.
Are you serious unaware what a RAG is and still speak with authority on the topic? It's automatically retrieving information and adding it to the context . It's -in spirit- a convenience function so you don't have to manually provide it during the prompt. It's just a lot harder to pull off well automatically, but the fundamental practice is "just" context optimization You're essentially saying "but that's not driving…
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Are you serious unaware what a RAG is and still speak with authority on the topic? It's automatically retrieving information and adding it to the context . It's -in spirit- a convenience function so you don't have to manually provide it during the prompt. It's just a lot harder to pull off well automatically, but the fundamental practice is "just" context optimization You're essentially saying "but that's not driving…
Not the same: "RAG vs. Long-context LLMs" - https://www.superannotate.com/blog/rag-vs-long-context-llms
That doesn't mean RAG isn't context optimization.
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> a distilled report with clickable links back to the ai slop Goldmans et al sent out this morning. A summary with links back to AI slop is a _useful_ outcome? Why?
> Ai slop summary with links back to AI slop is a _useful_ outcome? Why? Saves the junior from coming in at 4am to spend 3 hours doing it. They can spend more time fixing the slide deck.
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Not the same: "RAG vs. Long-context LLMs" - https://www.superannotate.com/blog/rag-vs-long-context-llms
You're literally linking to an article that confirmed what I said. Yes, a model that has RAG will be able to perform with a lot smaller context size. That doesn't mean RAG isn't context optimization.