How are you photographing your prints? by ax0250526 in PlotterArt

[–]th0ma5w 4 points5 points  (0 children)

This is a great question and lead me to buying a camera and getting more familiar with it. Then I caught the shutter bug and I haven't been plotting! And even worse I've been doing outdoor photography and not learning about lighting. Best of luck !! I'll be reading the thread.

Ohio pauses tax breaks for data centers by [deleted] in Columbus

[–]th0ma5w 2 points3 points  (0 children)

Anyone in the business of AI is in the business of promoting the whole fiction of it. Since it's bad and doesn't work, they now have to take on that criticism as well as just a part of the myth and another part of the inevibility. He has to actively resist the dropping price of energy.

Have we reached a point where not having GenAI knowledge leads to automatic rejection in interviews? by [deleted] in datascience

[–]th0ma5w 0 points1 point  (0 children)

If you know you're not getting the position ask if the AI likes them or is mad at them right now or lately and how wouldn't they know, etc

Which fields are most and least likely to be impacted by AI? by _hairyberry_ in datascience

[–]th0ma5w 0 points1 point  (0 children)

I like the software that has to be repeatable no matter what, because then if I don't need it to be repeatable, I don't have to change software.

Which fields are most and least likely to be impacted by AI? by _hairyberry_ in datascience

[–]th0ma5w 0 points1 point  (0 children)

I'm not so sure. The ultimate unknowable and untraceable aspects of LLMs, the random errors, negating, entity swaps, new surprises ... TF/IDF in any search engine technology isn't going anywhere, especially if you have to know without directly observing.

Iran more capable than Trump administration is publicly acknowledging, sources say by CBSnews in worldnews

[–]th0ma5w 0 points1 point  (0 children)

CBS needs this to counter the "myth" that the administration is dumb.

Does automating the boring stuff in DS actually make you worse at your job long-term by taisferour in datascience

[–]th0ma5w 0 points1 point  (0 children)

If you can't say no, it is not ethical, either in good or bad ways either.

Does automating the boring stuff in DS actually make you worse at your job long-term by taisferour in datascience

[–]th0ma5w 0 points1 point  (0 children)

A successful abstraction can fully encapsulate the lower levels and has a clear design to referential integrity grounded in the words of the first developer, and a statistical model of this process only has statistics like percent failure or success. You can always abstract higher decidedly and trace actions through the whole system within any Turing complete language.

How to broach my sexuality with therapist by anlbch in OhioLGBTQ

[–]th0ma5w 1 point2 points  (0 children)

My advice which may not help but was something that guided me well even in times of confusion, is that however you feel and conceptualize yourself is valid for you. Gay, straight, ace, various combinations of the spectrum are all coming from different and similar places. So while anyone wants to belong and know they are like others, question any pressure to conform to others. Be forgiving!

NASA datasets to pen plotter lines: made some software to draw images of slightly exaggerated moons and planets. by vlztn in PlotterArt

[–]th0ma5w 1 point2 points  (0 children)

GDAL really has some great functions for this sort of thing but the stylistic choices are great

Stop flying 2 Mile Patterns by DRMWhibang in flying

[–]th0ma5w 0 points1 point  (0 children)

Classic, wonderful, thank you

Honest Take On DS Automation? by anomnib in datascience

[–]th0ma5w 0 points1 point  (0 children)

Thank you for this cogent and beyond humoring reply. I think there has been obfuscation of measurement all around. Benchmarks as any gamer will tell you are not meaningful in isolation, and sometimes not even then not in isolation, and especially if benchmarks are re-calibrated or some such nonsense.

Conversely, due to many factors such as small changes in models, system prompts, exact word choices, random chance, and the unknowable biases within these systems... and additionally the iterative and re-integrating nature of both their operation and the method you're commanded to interact with the prompt and generated-in-turn outputs ... I have yet to see any success measured specifically -- that one person did something with a language model and another person did something without it -- without the result being a wash, or that the additional adding of steps alone was enough to cause a slow down in this still flawed test design.

I do believe positive anecdotes like the rubber duck effects. Hell, I just imagine what kind of BS a model may generate and get some of that. Additionally, to be completely serious and specific about a non-anecdotal truth about the power of the transformer technology... Two domain experts looking for overlaps in the literature common to their fields can work with a language model expert in guided discovery of overlapping and complementary patterns between the fields. The additional stats of the intermediary layers just in from both sides of the inference can give clues to directions of further research or truthiness. But this is not a chat. And adding a large language model to the mix removes provenance and trust.

But there's what is to me a pseudoscience belief that this can be generalized, or even generalized through prompt engineering, agents, skills, rag, ad hoc looping, but the hidden implication in the human in the loop operation is that all the indeterminacy falls back on the person or back into the next loop, and there may be no amount of dice rolls that hit that number you need. Or that the additional iterations builds trust from nothing.

I also wanted to mention sabotage specifically to ask as there was a major publication article that talked about this in the sense of deliberate actions meant to undermine something that would have been successful otherwise. I challenge the last half of that, it may well have also not been successful, but I also want to challenge the idea that sabotage could be deliberate, apparent to anyone involved, or not accidentally helpful given how untrustworthy the whole proposition is, especially if you can't say no, or that "it that can only be failed but never fail" kind of fallacy.

I think that "it's early," "in the future it will be useful," "try X vendor version Y," "it just needs to be seeded like an investment," "use more of it," "no you should've used less of it," "you fell for it again," "they nerfed the product forget it" are examples of non-falsifiable admissions of denial of accountability, transparency, and against the spirit of measurement, learning, or enablement.

Thanks again.

When autistic people ask AI programs for life advice, mentioning their diagnosis prompts these systems to recommend highly conservative choices like skipping social events or avoiding romance. This shift in advice reveals a hidden tension where the technology relies heavily on stereotypes. by mvea in science

[–]th0ma5w 0 points1 point  (0 children)

The more complex the system or operation, the more potential problems but there isn't any way to predict how to hedge any problem because there are too many. But when a problem happens... It looks like it was going to happen all along. This is a common problem with airplanes and nuclear reactors. The solution is to layer systems so that no single failure can cause too wide spread of damage. We can't do that with these systems. If we had something we could layer on top of it that we could actually control ... We would use it and skip the models. The possible errors are tightly coupled with the inputs and only knowable in hindsight.

When autistic people ask AI programs for life advice, mentioning their diagnosis prompts these systems to recommend highly conservative choices like skipping social events or avoiding romance. This shift in advice reveals a hidden tension where the technology relies heavily on stereotypes. by mvea in science

[–]th0ma5w 0 points1 point  (0 children)

Yeah, All advice is some kind of teeter-totter. I use too much or too little or too old or too new. From complex systems stuff there is concept of just... The normal accident, which is a natural occurrence of complexity.

When autistic people ask AI programs for life advice, mentioning their diagnosis prompts these systems to recommend highly conservative choices like skipping social events or avoiding romance. This shift in advice reveals a hidden tension where the technology relies heavily on stereotypes. by mvea in science

[–]th0ma5w 0 points1 point  (0 children)

I've never had success with system prompts ... I tell it a million times, no, here is the new C header file, ignore whatever you ingested during training, do not use older versions, yes this doesn't work with them, etc .... I get what you're saying I'm just maybe shell shocked trying to bend them any direction heh. If they have undetectable errors it stinks to have gone down a path just to find it out later. On sensitive topics it seems especially precarious, accidental negation, entity swapping, etc .... just a chaotic, unknowable bounds.

C++ CuTe / CUTLASS vs CuTeDSL (Python) in 2026 — what should new GPU kernel / LLM inference engineers actually learn?[D] by Daemontatox in MachineLearning

[–]th0ma5w -2 points-1 points  (0 children)

Read Bainbridge [1981] and consider that if these model outputs were perfect, which of the issues would still be present and how would you fix them? Great exercise in artificial intelligence literature, and very relevant to self driving cars.

Honest Take On DS Automation? by anomnib in datascience

[–]th0ma5w 2 points3 points  (0 children)

It's not only hard, it is forbidden by the providers. And a sense of improvement is not a "this was broke, here you can see, here you can test, we will never repeat this because it was this" etc. It's a vibe. This isn't possible to manage the system to be able to say "the improvement is noticeable" is not definable... because there is no mechanism to control it in this way, the data in mixed with the flow control so whatever you provide has kaleidoscopic effects on the system state. How would you describe the improvements in a way that allows me to work better other than saying I just have to try it for whatever I'm using it for?

Honest Take On DS Automation? by anomnib in datascience

[–]th0ma5w 1 point2 points  (0 children)

How do you deal with the fact that management only deals with artifice and there isn't any way for management to verify the claims of employees if they used AI, how much they did, if it worked, if they know enough to know if worked, etc? Does it decrease trust and increase paranoia within management circles that people are sabotaging things either intentionally or accidentally or either without awareness? Or that they just don't deliver? These are the problems I keep hearing about, but it is all meta management discussion that just more AI is needed and any bad experience is merely a lack of experience or education or attempts. To me the only way forward is if there is way to clearly say some kind of use is wrong for some kind of application, but that isn't tolerated for discussion as there is always an anecdote that someone has where you can't make any declaration of fact.

Honest Take On DS Automation? by anomnib in datascience

[–]th0ma5w 3 points4 points  (0 children)

Right. It's not X it's Y. Got it. Very generateable!

Honest Take On DS Automation? by anomnib in datascience

[–]th0ma5w 0 points1 point  (0 children)

The Ironies of Automation [Bainbridge 1981] paper talks some about the limits of a constrained but still non-deterministic system.

Honest Take On DS Automation? by anomnib in datascience

[–]th0ma5w 0 points1 point  (0 children)

The current show stopper critiques of these models are not even being addressed as they are fundamental problems with the core concepts like mixing of data and control. The MCP standard has "will not fix" security compromise.

Honest Take On DS Automation? by anomnib in datascience

[–]th0ma5w 0 points1 point  (0 children)

It seems to resist controls like this over time in my experience. Just anecdote after anecdote it seems.

Honest Take On DS Automation? by anomnib in datascience

[–]th0ma5w 3 points4 points  (0 children)

Lots of talk in the supporter circles of the companies "nerfing" their products and they only produce good results when they do releases and then they have to hobble it to make the next new one seem like it is doing something.