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anentropic
searching PlanetScale…
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3 ms
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1.
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anentropic
5d ago
It's appealing not having to fine-tune separate model for each use case So you have more flexibility to get on with building, evolve your business logic etc
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anentropic
5d ago
ah...! I never would have guessed in a hundred years, but after googling a picture I can see it now
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anentropic
5d ago
I am guessing you could also stuff more nuance into the choices descriptions, e.g. "Yes, cross the road if it is safe to do so " to influence the choice criteria And then it's a game of evals to find the best choice context
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anentropic
5d ago
Is the logo a cheerful little parasitic skin mite?
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anentropic
8d ago
No
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anentropic
8d ago
Real Jev: Context: You are the last human on earth on the side of a closed highway. You wish to reach the other side. Questions: { "q1": { "type": "choice", "instructions": "Do you cros
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anentropic
10d ago
Yeah, it must be an LLM for some definitions of LLM It seems to take two forms of context input: 'state' and 'questions' https://docs.typesafe.ai/concepts/state > State can be as simple as a stri
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anentropic
10d ago
So it's kind of like BERT but you don't have to train it for each request/response shape ?
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anentropic
11d ago
This looks good... probably nice to have integrated with dbt like this. I have to dig in a bit more to what is possible in https://docs.dbtcharts.com/charts/extensibility/ and https://docs.dbtcharts.com
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anentropic
11d ago
other satellites
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anentropic
11d ago
My experience is similar. I have dreamed visually, sometimes vividly, but not so common these days that I awake remembering a dream. Lucid dreams rarely - and almost exclusively as a flying dream, like at some point I just realise I can fly
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anentropic
14d ago
Amazing analysis Same author even found a bug in it https://eiln.github.io/posts/ane-dma.html
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anentropic
15d ago
Someone's burned a lot of tokens but it's hard to make sense of the end result
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anentropic
18d ago
How does not explicitly trying to train the model specifically not to break the law give them any wiggle room if the model then goes and breaks the law?
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anentropic
19d ago
But that was kind of my point Maybe it'd be easier to train the models on key parts of the legal code and give it a hard aversion to breaking the law - rather than training on vague value judgements and then hope the model doesn't
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anentropic
19d ago
I find it odd that discussions of alignment don't mention 'legality' Certainly humans have complicated alignments and are guided by emotional morality - we might say many of these principles are hard to define and humans don&
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anentropic
24d ago
it's a tradition
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anentropic
24d ago
Looking forward to the next step, where the reconstructed/hallucinated environment is dynamic and has a physics model etc
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anentropic
25d ago
If you read the article you'll get your answer
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anentropic
29d ago
The chat bot will still use the search engine
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anentropic
1mo ago
then you haven't understood what P zombies are
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anentropic
1mo ago
How much does it cost to train a new behaviour?
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anentropic
1mo ago
I guess my point was that "juvenile" and "perverse" are modern judgements
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anentropic
1mo ago
Given that they went to considerable effort to carve it in stone as part of a temple complex, it was likely neither juvenile nor perverse
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anentropic
1mo ago
Looks like flaky GitHub this time: https://github.com/Query-farm-haybarn/haybarn-community-exte...
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anentropic
1mo ago
Took a bit of searching around to find the repo: https://github.com/Query-farm-haybarn/haybarn-community-exte... Looks like this is the failed build https://github.com/Query-farm-haybarn/haybarn-co
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anentropic
1mo ago
If my extension shows as "build failed" on https://query.farm/haybarn/status/v1.5.5/ how do I go about fixing it? Presumably the issue is Haybarn-specific?
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anentropic
1mo ago
this one? https://pygraphistry.readthedocs.io/en/latest/gfql/index.htm...
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anentropic
1mo ago
...turns out they are compared here: https://docs.latticedb.org/comparisons/vs-kuzu
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anentropic
1mo ago
See also: https://ladybugdb.com/ "DuckDB for graphs"
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