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LangSmith integrates with OpenTelemetry: https://blog.langchain.dev/opentelemetry-langsmith/


Neat! Missed that one earlier this month, good to see.


Almost none of those things are part of the LangGraph framework? LangGraph does the scheduling, checkpointing, state management, etc.

All of those things are LangChain abstractions that you can use when building a graph.


Yes but loading weights into memory takes time


Yeah I imagine sequential inference would be slower. How long do you have to wait to load these weights on a personal PC? I have not tried using those systems so far.


Making maple syrup from sap is an illuminating experience. You have to reduce something like 40x the volume of sap to create the desired quantity of syrup.


Promethease [1] is a great resource

[1] https://www.promethease.com/


10% of income is the standard


Yeah, "tithe" is an old (Middle English?) word for "tenth".


That's just enormous, seems like a strong disincentive to join


Depends on how it is calculated, if it is after tax that isn't so much.

Also, people who are supporting church will often use a lot of their services so it's not like giving money to a charity you will never directly see their work (like environmental groups).

Finally, the 10% rule comes from times where the state had a much lesser role in fighting poverty.


Exactly. At most churches, tithes mostly pay for the physical plant and the full-time staff (who provide services in the form of weekly lectures, counseling, misc. community organizing, and sometimes directly contribute to physical plant upkeep as well).

Tithing is more like a PBS membership or seomthing.


That's kind of the point. If you value a thing you'll be willing to pay for it.


I’m pretty sure that’s more of an aspirational goal than a hard requirement at many churches. Though it frequently (usually?) is also pre tax, not post.


My prior intuition was that rank-choice voting would be preferable to approval voting, but this [1] was pretty helpful. Thanks!

[1] https://electionscience.org/library/approval-voting-versus-i...


You’re welcome! You might also enjoy the concrete example (from a recent Seattle primary) here: https://news.ycombinator.com/item?id=29266519#29277580


Don't forget the Colossal Clean Crawled Corpus [1] too!

Came here thinking it was another neural network + data visualization tool.

[1] https://ai.googleblog.com/2020/02/exploring-transfer-learnin...


Seems to be based on features generated using a model similar to that proposed in [1].

[1] https://research.google/pubs/pub45611/


I think the parent's point is that since price increases are capped, landlords cannot increase beyond a certain point in a single bumper year. To compensate, they may increase rents beyond what they would otherwise to be able to maintain a similar average increase. Citation is needed, of course.


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