Seth Fenster

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Seth Fenster

Seth Fenster

@sethtjf

Legal engineer building @litvue

Katılım Eylül 2017
715 Takip Edilen855 Takipçiler
Seth Fenster
Seth Fenster@sethtjf·
@dosco Ah I see. So this handles the post processing of the data to handle the querying.
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spacy
spacy@dosco·
@sethtjf it’s not a db its a agent on top plus a compiler for query gen the non text sources will have to have an embeddings index in postgres or whatever
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spacy
spacy@dosco·
you can recreate this whole bespoke system with just graphjin. assume postgres has a knowledge table plus one table-returning hybrid_search(q, project) function containing FTS + pgvector + recency/RRF. the queries are just examples the agent will auto generate them you don't have to. graphjin.com
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Cerebras@cerebras

x.com/i/article/2077…

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Seth Fenster
Seth Fenster@sethtjf·
@scottastevenson Hard agree. I went from Google -> ChatGPT/Claude -> Google over the last few months. I'm also treating google's search search box for longer queries by default
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Scott Stevenson
Scott Stevenson@scottastevenson·
Hate to admit it but a lot of simple questions I used to type into ChatGPT I type into Google search now AI for Ask Jeeves type questions will be completely commoditized, free and ad-supported. Claude Cowork/ChatGPT Work is where the future will lie for the foundation model app experiences
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Seth Fenster
Seth Fenster@sethtjf·
@artemysone @owenbjennings Maybe but even more reason for an agnostic harness so that you’re not locked in come time to renew Also practically speaking some types of enterprises (like law firms) can’t afford to be locked into one vendor in case of potential conflicts
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Jeff
Jeff@artemysone·
@owenbjennings I just don't see enterprises have multiple enterprise contracts. Feels like they will pick 1 provider, right?
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OBJ
OBJ@owenbjennings·
wonder if this model agnostic harness thing is gonna make sense for companies
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Sol Irvine
Sol Irvine@solirvine·
@gordon_cassie If you dig into these cases, all of the lawyers at fault seem to claim the same defense: they thought the AI chat was just an upgraded westlaw-style search input. Either way, it's user error, and no good lawyer would make these mistakes.
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Seth Fenster
Seth Fenster@sethtjf·
@scottew "you mean the yogi berra of our era? haha" -- yogi berra -- wayne gretzky -- michael scott
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Seth Fenster
Seth Fenster@sethtjf·
I just don't see how openai or anthropic are releasing multiple models anymore by year end
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Seth Fenster
Seth Fenster@sethtjf·
@glcst yeah I agree. I say agents for simplicity but I'm often talking about an instantiation of an agent (ie a session) and I think of each session having it's own db but the agent as a stateless concept (it's configuration and tools, capabilities, etc.)
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Glauber Costa
Glauber Costa@glcst·
@sethtjf some workloads are multi-session. Some are per-session. We say "one db" for simplicity. In reality every agent can have themselves many dbs. Go big or go home.
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Morgan Smith
Morgan Smith@mmsmithlegal·
What makes a good attorney? Personally, I think they should be naturally curious.
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Emily Han
Emily Han@emilyhanyf·
yes, working at @modal is as fun as it seems. we are casting 35 more roles across new york, san francisco, and stockholm. one could be yours ! modal.jobs
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Zach Abramowitz
Zach Abramowitz@ZachAbramowitz·
@sethtjf That was my whole point is that it’s useful initially to introduce a new category, but ultimately it loses its meaning
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Seth Fenster
Seth Fenster@sethtjf·
should have called nuclear power giant steam power and they would have been everywhere
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Seth Fenster
Seth Fenster@sethtjf·
Yeah I didn't read the article yet. Wanted to add my 2c though bc this is the internet. I'm not cynical on the concept just the naming. In the same way that I wouldn't describe any law firm as "computer-native" or "computer-first" I don't see a long-term benefit to being "ai-native" bc every firm will be using it in one way or another.
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Zach Abramowitz
Zach Abramowitz@ZachAbramowitz·
I addressed that in the newsletter FWIW My take: I would argue the term “AI-first” (or its cousin native) was quite useful for introducing a new category of firms built from the ground up with the understanding that (1) AI exists and (2) because AI exists you wouldn’t build the same kind of firm today that you might have built five years ago. And I, myself, remain bullish on the opportunity to build a new kind of firm, but I get the cynicism. I also don’t quite understand why everyone of these firms needs to raise capital. If the AI is here, why not just start?
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