blackbear_

5 ms·

1.
by blackbear_ 15d ago
As we all know, oeer review is not a very reliable signal about the veridicity of the claims, it is merely an approximate quality gate indicating that a study was done following appropriate standards. There needs to be more awareness of thi
2.
by blackbear_ 15d ago
Totally agree with this framing: trust in public institutions (scientific, governmental, etc.) is a common good that needs to be promoted and safeguarded. Identifying and punishing fraud is a part of it, whistleblower protection another, mo
3.
by blackbear_ 15d ago
Yup, that is also how it works with scientific research: Once an article is published, anybody is free to read it, criticize it, reproduce it. That's because the government stays out of it: private individuals can use things like Googl
4.
by blackbear_ 15d ago
This is unnecessarily cynical. > The core problem is people conflating science with Science™. You fell into the same trap by criticizing scientific institutions and the human spirit in an attempt to criticize the scientific method. >
5.
by blackbear_ 18d ago
Everything is a linear model... Including ANOVA. I find it much easier to condense everything under this framing instead of remembering tens of tests and ad hoc rules. Frequentist statistics always felt to me like an uncohesive bag of trick
6.
by blackbear_ 22d ago
This was abundantly clear when people, even on HN, were upset about the bureau of labor statistics revising their numbers tendentially downwards, probably confusing the notion of statistical bias for that of political bias. If the figures a
7.
by blackbear_ 2mo ago
Labels did work in reducing harmful behaviors: > Participants drew on a range of risk discourses in framing their abstention or moderate drinking along the lines of health, wellness, wisdom and productivity. They reiterated social constr
8.
by blackbear_ 2mo ago
Having similar thoughts at times. What are you reading nowadays?
9.
by blackbear_ 3mo ago
The GPT3 paper is a good starting point Language Models are Few-Shot Learners https://arxiv.org/abs/2005.14165 I also enjoyed the papers for DeepSeek and GLM for an overview of all the tricks you need to make these thi
10.
Announcement and FAQ: Changes to GitHub Copilot Individual Plans(github.com)
2 points by blackbear_ 4mo ago|2 comments
11.
by blackbear_ 6mo ago
There are other players in the game: the business and the market. Good code makes it easier for the business to move fast and stay ahead of the competition while reducing expenses for doing so.
12.
by blackbear_ 6mo ago
Is it because people genuinely don't care, or because the barrier to become a power user is becoming taller and taller every passing year?
13.
by blackbear_ 7mo ago
> what kind of neural-net architecture and training would allow a model to handle numbers lengths it hasn't been trained on A recurrent neural network implementing binary addition with carry could do this, and one can derive the cor
14.
by blackbear_ 7mo ago
> I measure, test, and validate outputs exhaustively. How do you do this? Do you follow traditional testing practices or do you have novel strategies like agents with separate responsibilities?
15.
by blackbear_ 8mo ago
There is no escaping the fact that feeding addictions is a great business model.
16.
by blackbear_ 8mo ago
Luckily our friends overseas have shown us the way of dealing with uncompetitive local industries: tariffs.
17.
by blackbear_ 8mo ago
Whether the code is AI generated or not is not important, what matters is that it really works. Sharing code enables others to validate the method on a different dataset. Even before LLMs came around there were lots of methods that looked g
18.
by blackbear_ 8mo ago
Isn't it insane that any web page can run a port scan in the first place? Who wants that? Meanwhile, running opencode in a podman container seems to stop this particular, err, feature.
19.
by blackbear_ 8mo ago
I had similar thoughts, and my conclusion is that competition is an inherently unstable state of affairs: at some point somebody wins, and they will try very hard to prevent any further competitors from arising. Indeed, competition is undes
20.
by blackbear_ 8mo ago
But we do ban tools sometimes: you can't bring a knife to a concert, for good reason.
21.
by blackbear_ 9mo ago
It is both common and uncontroversial to put restrictions on using certain tools in certain situations for safety reasons, especially in public and crowded places: you can't bring a hammer to a concert. As the provider of a public plac
22.
by blackbear_ 9mo ago
What other countries could teach the U.S. about bringing down drug prices A look at how European governments negotiate with pharma companies helps explain why Americans pay more for prescription drugs. https://news.stanford.edu&#
23.
by blackbear_ 9mo ago
Because US voters prefer the free market as opposed to government regulation and nationalized healthcare.
24.
by blackbear_ 9mo ago
No, this would crash with numpy arrays, pandas series and such, with a ValueError: The truth value of an array with more than one element is ambiguous.
25.
by blackbear_ 9mo ago
It is done, in many countries there are legal requirements to report adverse events whenever they are observed upon use https://en.wikipedia.org/wiki/Pharmacovigilance#Adverse_even...
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by blackbear_ 10mo ago
Generalized Additive Models: An Introduction with R by Simon N. Wood This book is very strong on the fundamentals, while the R code is minimal and easy to follow.
27.
by blackbear_ 10mo ago
And so fact checking is back in vogue. Seems pretty biased.
28.
by blackbear_ 11mo ago
Two thoughts: > how important is computing the exact gradient using calculus Normally the gradient is computed with a small "minibatch" of examples, meaning that on average over many steps the true gradient is followed, but eac
29.
by blackbear_ 11mo ago
Tailoring the message to the audience is really a fundamental principle of good communication. Scientists and academics demand an entirely different level of rigor compared to customers of LLM providers.
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by blackbear_ 11mo ago
I really don't know... They made a model to predict the number of views of a video from its metadata, then assumed that model errors correspond to intentional manipulation rather than, you know, metadata not being fully predictive.

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