Recent submissions

Comment · 26 days ago
Fascinating. Is this mostly remote software engineers? Hardware folks with manufacturing out there?

The time zone would make it tough for non global teams I imagine. Interested to hear what types of companies make it work.

Comment · 10 months ago
It would be nice to see an estimate for the order of magnitude of the effect.

As is, I’m skeptical the clocks would be able to measure it. Just a bachelors degree in physics though, so I’m not an expert.

Comment · 1 year ago
Yes, that was my thought as well. Breakeven might be like 1 (give or take 2x)?
Comment · 1 year ago
The post is quite clear? They call on the sponsors to stop funding ruby central, and the employment status bit is a clear concern extending from ruby central’s supposed takeover.

Read the post more clearly before accusing someone of LLM usage. And even if it is, they are still valid points to be discussed, as opposed to trying to bury it with an LLM accusation.

Comment · 1 year ago
Comment · 1 year ago
It’s unlikely they are able to gouge McDonald’s and the large companies. Even the article mentioned that the big competition is for those massive contracts. It’s much more likely that McDonald’s and co can shop around, negotiate a great price, and maintain margins.

It’s the mom and pops, the regional suppliers that can’t do anything, and likely pay much higher prices than the megacorps.

Comment · 2 years ago
Important to note that despite being started by humans, those fires are still made larger and exacerbated by climate change.

Not to say you’re implying against that, just clarifying.

Comment · 2 years ago
As you consider the decision to let them go, consider the impact on other people in your work place too. Other developers notice someone like that underperforming and getting overpaid, and it can hurt the good climate you aim for. It may feel bad to fire them, but it may be worse to keep them.
Comment · 2 years ago
This article is just an exercise in back of the envelope math. There’s no coherent point to it. “If we just assume that Pablo Alto was as desirable as Manhattan and could justify building the same infrastructure…”

It’s not. You can’t.

Comment · 2 years ago
Great summary. Always hard to tell whether proposed experiments are doable within a reasonable timeframe. Sounds like this one is not, but perhaps by defining a new category it may lead to one that is.
Comment · 2 years ago
Cool project - I’ve had this problem. I’d like the GitHub reader to also lay out how to set up figma. E.g. import figma library. Anything else needed?
Comment · 2 years ago
This looks pretty compelling! The best of controlling your own data and a global, network-effects-compatible content approach. Seems like a win for users if it gets adopted.
Comment · 3 years ago
Curious, do you have a source for this?

Are PFAS primarily concentrated in the bloodstream?

Comment · 3 years ago
Fascinating. This material alone would be revolutionary if legitimate, although I’m sure there’d be further improvements.

Question for any experts - what’s the relative difficulty of keeping something under sustained high pressure in a piece of hardware vs keeping it very cold?

Our ultra cold usages work decently well. Would it be any easier to keep a hardware component under pressure like what this new material requires?

Comment · 3 years ago
Fascinating. The summary:

“On the one hand, according to the (generalized) standard canonical interpretation, the arrival distribution is considered as a generalized observable, which is described by a positive-operator-valued measure (POVM), satisfying some required symmetries [10, 11, 30, 31]. On the other hand, in the realistic- trajectory-based formulations of quantum theory, such as the Bohmian mechanics [32], Nelson stochastic mechanics [33], and many interacting worlds interpretation [34], the arrival time distribution could be obtained from particles trajectories [7, 18, 35, 36].”

I’d be interested to hear a definition of each of those interpretations.

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