Gregaros

Insane. No. Mathematicians will not produce >2 "high SNR" papers per month as their rate calculated over any reasonable time scale; but their maximum per month? Very much the case that they will complete linked papers/dependencies/series of work/etc, spend a month in editing across multiple nearly-complete submissions, and so on.

And in mathematics, at least, priority on results is determined by the first time it appears out in the wild; for most, this is the arXiv.

Nobody is going to accept waiting a month on something that they fear may be scooped, costing them years of work and thought.

This affectively makes the arXiv obsolete for much of the purpose it has heretofore been put to.

You did not distill Fable. Relevantly, what you did provides no evidence contrary to the parent’s assertion that Moonshot did not have time to distill Fable.

Onlyfans. Arguably, already began long before AI.

> In this blog post I will give my personal view on the recent counterexamples to the unit distance conjecture and sum-product conjecture over the reals (see [90] and [52] respectively). My goal is to sketch the constructions and try and give some intuition as to where they came from and why they work. *My main target audience is the me-of-a-month-ago*

Thomas Bloom is a world-class mathematician working at the frontier of his field. He explicitly did not write this for you, and your stopping reading it is fine.

They should define this, but after having read the entire article I think it’s clear they mean “frameworks for evaluating the output of an agent” rather than what first might come to mind as “LLM evals”.

Their thesis is that even when the eval is useless for correctness of a single agentic action in production, it allows you to choose between two agents by cross-comparing in a large aggregated collection of tasks. Effectively: you can tune your agentic parameters.

Nothing new to the idea that taking many samples and averaging can work when a single datapoint doesn’t. Presumably this is part of a conversation in which we’re lacking context.

The poorest of the poor, subsistence farmers are barely producing enough to feed themselves; they trade and barter the little bit they can manage but it is not much and has little impact that goes beyond a tiny village-level radius. Nobody is displacing that because nobody needs to compete with that.

whitepages vs yellowpages

> Mozilla uses the term "vulnerability" for even sec-high, even though they say right below that it doesn't mean the same thing as a practical exploit.

That’s not evident in what you pastedat all.

What you pasted says

> sec-critical and sec-high are assigned to vulnerabilities that can be triggered with normal user behavior […] We make no technical difference between these […] sec-critical bugs are reserved for issues that are publicly disclosed or known to be exploited in the wild.

> sec-low is assigned to bugs that are annoying but far from causing user harm (e.g, a safe crash).

From this one infers that the "180 were sec-high" bugs found are actually exploitsble but known to have been found in the wild, and are NOT mere annoying bugs.

The difference between 180 and 270 does nothing to deflate the signicance, or lack there of, of the implication re: Mythos.

> This also seems like a win for society, if there is some sort of pattern with ai helping with crimes.

That fails to recognize the tradeoff between freedom and security. Society suffers if we, for instance, lock everyone up, despite the reduction that would have in crimes. The balance between the two cannot be ignored to justify outcomes, though it is American tradition to value liberty over security when the two come in conflict.

Still very interesting timing to ban third party harnesses, given the proximity to the Claude Code leak …

I _don’t_ think that empathy has anything to do with it though.

Behaviour modification yes, but that is “stop talking so critically”. Or “don’t be so harsh” or “give this person special treatment”. WHEN to do that might be key here—perhaps the colleague’s husband has cancer, or their child missed school 3 days this week with the flu, or their project wasn’t productionalized/their new to the role/etc—and so a blanket “don’t talk so harshly” isn’t called for—instead what is really desired is social calibration.

But instead it seems everyone is getting caught up on the literal interpretation of this figure of speech instead.

Impossible to say what was behind any specific request, but what is generally meant by “Have a little emapathy” and its kin is : “Stop criticizingjudging/etc. or communicating with the individual being discussed that sharply, because we feel the individual has good reasons/a good excuse/a good justification for sympathy and/or some leniency here.”

*

  On many occasions, I have been told to “be more empathetic.”

  When I ask why, I typically get this reaction:  

  This is a ridiculous question. I am not going to answer it because it is so ridiculous.

  Empathy is the right thing to do! You should feel bad for that person. We’re humans, after all.

  These explanations never really helped.

*

Even after reading this, I am not sure the author really gets what is behind the request.