levocardia

20 ms·

361.
by levocardia 3y ago
>I focused on identifying highly effective charities to avoid wasting my humble charitable contributions (1) If you rank charities by effectiveness, how do you avoid making moral comparisons? (2) If you are experienced at research into c
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by levocardia 3y ago
>Students say that Dias gave them an ultimatum: remove their names, or let him send the draft. Despite their worries, the students say they had no choice but to acquiesce. “I just remember being very intimidated,” one student says. The s
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by levocardia 3y ago
> Likelihood functions are objective facts about the data which do not depend on your state of mind. You cannot deceive somebody by reporting likelihood functions unless you are literally lying about the data or omitting data. There&#x27
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by levocardia 3y ago
Didn't both Seattle and Portland try Portugal-style decriminalization + treatment incentives, only to see a massive spike in drug overdose deaths, even compared to similar US cities which did not pass such policies? It seems relevant t
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by levocardia 3y ago
What's even more uncanny is that it recognizes that it briefly went into a paragraph of rambling nonsense (that was seemingly still following your system prompt!). And almost seems embarrassed about it.
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by levocardia 3y ago
Seems like the Occam's razor hypothesis would be "company that split from OpenAI over safety concerns is overly focused on safety at the expense of performance."
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by levocardia 3y ago
If you know DNNs, you'll find the introduction of splines in Semiparametric Regression in R very intuitive - splines are introduced using what the authors call a "truncated line basis" but you already know it as the RELU func
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by levocardia 3y ago
Or, for a more approachable treatment, Semiparametric Regression with R by Harezlak, Ruppert, and Wand. A middle ground between Wood's book (which is comprehensive but can dip into math that's way over my head at times) and H&#x2F
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by levocardia 3y ago
I see a lot of comments here assuming "linear model" means "can't model nonlinearities." Absolutely not the case. Splines can easily take care of that. The "linear" part of linear model just means "li
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by levocardia 3y ago
You should look into using generalized additive models (GAMs). They are regression models that allow you to model nonlinear relationships, and even smooth nonlinear interactions between variables, while retaining the benefits of classical r