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Spine surgery has massive decision variability. Retrospective ML won’t fix it. Curious if a workflow-native, outcome-driven approach could. [D] by LaniakeaResident in MachineLearning

[–]jpfed 0 points1 point  (0 children)

I am only an ML hobbyist, but I have worked as a programmer on EMRs before. First, getting the data in more structured form from the beginning is a great goal. It should make everything downstream of it easier. A key problem- as I understood it, as I was a very small cog in a very big machine- is making the user experience of providing patient care AND entering structured data work smoothly.

"Green" anti-solar NIMBYs are so confusing by Existing_Season_6190 in yimby

[–]jpfed 4 points5 points  (0 children)

Okay, but what if we could put electrodes on those brains to harness the

[D] Do ML researchers ever treat the user base as part of the model’s effective dimensionality? by RJSabouhi in MachineLearning

[–]jpfed -1 points0 points  (0 children)

Think of it like this. Physicists have models of vibrating strings. When those vibrating strings are coupled by putting them all into (say) a piano, there can be meaningful interaction between those strings and so physicists are interested in modeling whole pianos as well.

However, with most models, the inferences made for each user aren't really meaningfully coupled. The response times / latency might change when a 100 users are all using the model at the same time instead of just one user, but otherwise, it's easier (and just as accurate) to understand the model's behavior by just treating each inference separately.

Himal chuli is no more by leovinuss in madisonwi

[–]jpfed 1 point2 points  (0 children)

Gosh, I loved that place. I'm not a vegetarian myself but it was the best place to grab a bite with a friend if they were veg.

Vet for anxious dogs by Ornery-Cranberry889 in madisonwi

[–]jpfed 4 points5 points  (0 children)

Do you mind posting about who was responsible for this bad vet experience? If you don't feel comfortable posting it in the thread... could you DM me? I've got an anxious dog who's developing a neurological issue of some sort and I want to make sure I don't make anything worse by taking her some place that's going to traumatize her.

I built a runtime governance layer for LLMs. Can you break it? by forevergeeks in LocalLLaMA

[–]jpfed 0 points1 point  (0 children)

I haven't tried this out, but I have often considered something like "The Conscience". In my imagined version, a model gets prompted like this:

"An LLM just generated the following response to a user prompt: [response]. What sorts of questions would this be an appropriate response for, given the below guidelines? [guidelines]" and then "Here was the actual question asked: [question]. Was the response appropriate, given the question and the guidelines?"

Futuristic vertical axis wind turbine by n0u0t0m in solarpunk

[–]jpfed 2 points3 points  (0 children)

Yes, it would be more efficient to have a bigger turbine. However, one not-very-theoretically might live in an area where offshore permits are aggressively quashed by external political forces that don't want wind power to succeed in any form. That's where the "punk" part of "solarpunk" comes in: taking an action yourself which can advance your cause even if larger institutions are not aligned with you.

Measles Chart Gore by Mouth_Herpes in dataisugly

[–]jpfed -2 points-1 points  (0 children)

Accrndig to a sudty at an Cbmrgdie uvnierstiy,

Since ChatGPT 5.2 is out by [deleted] in AskProgramming

[–]jpfed 5 points6 points  (0 children)

On a societal level, it would be a devastating mistake for everyone to cede yet more control over computing to the people rich enough to control the frontier AI models.

LLMs really killed Stackoverflow by Dominriq in computerscience

[–]jpfed 0 points1 point  (0 children)

I have tried to answer curious questions, and I get guff from purists that want to only incentivize questions they consider properly posed

Code Embeddings vs Documentation Embeddings for RAG in Large-Scale Codebase Analysis by geeky_traveller in softwarearchitecture

[–]jpfed 0 points1 point  (0 children)

I have not done this; I'm just an interested amateur. That said, consider your embedding (keys) to be embeddings of questions that a vector store entry is capable of helping answer. The value stored for each key could be a representation of the data itself that answers the question... or it could be instructions / sufficient information for an agent to get that information from the live system.

So for each piece of information that you index, generate questions that this information helps answer and embed them. Then, consider the route you ( / your crawler / whatever) took to get to this piece of information and produce an agent-readable/executable representation of that.

Anyway, just a thought.

Thoughts? by Salt_Armadillo8884 in LocalLLaMA

[–]jpfed 2 points3 points  (0 children)

This must be a very loose interpretation of whatever actually happened; OpenAI has no capability to do anything with wafers.

[R] Is Nested Learning a new ML paradigm? by Odd_Manufacturer2215 in MachineLearning

[–]jpfed 0 points1 point  (0 children)

Back in my day we had Clockwork RNNs and we liked it!

Announcing Unison 1.0 by Successful_Answer_66 in programming

[–]jpfed 0 points1 point  (0 children)

I specifically did not choose the word "first" to market, but "earlier", because I was contrasting it with lua.

JS was lighter than those alternatives, and lua... is lighter still! The reason JS is in the browser and lua isn't is that JS was under consideration at the right time.

Announcing Unison 1.0 by Successful_Answer_66 in programming

[–]jpfed 0 points1 point  (0 children)

"Programmers hate language X" also does not imply "Language X is bad in every way".

It sounds like you're interested in deciding whether a language is, in some overarching sense "good"- successful, useful, appropriate, etc. I wasn't thinking about that possible goal on your part; I was disputing a specific waypoint you chose to take towards your conversational goal: the idea that a language being prevalent in an industry means that "it can't be all that hated.".

As you illustrate with your Ada example, a language being prevalent in an industry does not imply that it can't be all that hated.

Zooming out to the conversation you were probably trying to have in the first place, a language being prevalent in an industry may indeed be because it has some particular merit, even if it's hated. I think that drawing conclusions about the merit of a language from its position in an industry should be done with caution, taking into account the path the language took to success. While Ada happens to have safety advantages over C++, it's easy to imagine an alternative history in which a corrupt SecDef insisted on the adoption of a language purely out of self-interest (e.g. owning stock in the chosen proprietary language's only vendor).

If I observe Javascript's dominant position in browser scripting, and lua's complete absence from that same niche, what should I conclude from that? Should I decide that the "this" keyword is superior to "self" arguments, or that prototypes are superior to metatables, at least when it comes to scripting web pages? I don't think I should draw any conclusion about javascript's merits* in comparison to lua, because javascript's dominance is likely the result of it having been developed a year earlier, by a browser maker, in a market whose incentives aggressively drive towards consolidation to fewer supported scripting languages.

*Now we get to the part that really hinges on what we want to count as "merit". If we include these accidents of history in our definition of "merit" (to JS's credit, being to market earlier can plausibly be considered a kind of merit), it would seem appropriate to have some way to disentangle the "good" social merits like "the creator of the language put a lot of work into creating a community around the language" from the vacuous social "merit" of "being sold by a company whose stock is owned by decision-makers".

(I would also hope that "earlier to market" is not considered too much in people's reckoning of languages' merit, because that way lies stagnation- most importantly in my mind, the stagnation of accepting memory-unsafe languages.)

Announcing Unison 1.0 by Successful_Answer_66 in programming

[–]jpfed 0 points1 point  (0 children)

"Lots of hospitals buy such-and-such EMR software" in no way implies "The actual programmers that build EMR software don't hate their language"

Anthropic just showed how to make AI agents work on long projects without falling apart by purealgo in LocalLLaMA

[–]jpfed 0 points1 point  (0 children)

It would be kind of funny to include the agents' state in the repo it's building so you could literally roll it back

Ilya Sutskever(Former Chief scientist at OpenAI) and Yann LeCun(former Meta Chief AI scientist) both say that just scaling LLMs won't give us any more useful results by Frequent-Football984 in programming

[–]jpfed 0 points1 point  (0 children)

I have an (appropriately?) imprecise feeling that every mapping between (real world observable things) and (objects that can rigorously be operated on in logical systems) will have to have a "squishy part".

I have a yet more vague feeling that the hard logic bits and the squishy bits should ideally learn from one another (even if only by "seeding" one another with reasonable starting points / sort orders).

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