halflings comments on “You probably don’t need AI/ML. You can make do with well written SQL scripts”

This could’ve been a valid criticism of people that use ML where it’s not appropriate, but it ended up being a bit of an irrational rant, and a dishonest one too:

> I mean, why send a letter with breast pumps to a man that just bought a pair of sneakers? It doesn’t even make sense. Typical open rate for most marketing emails is anywhere between 7 – 10%. But when we do our work well, we saw close to 25 – 30%.

How do you know what items are compatible to each other? Why only recommend sneakers to somebody with sneakers, instead of also recommending sport clothing?

Oh, I guess you could build some type of topology of all your shopping items. But what about recommending soccer balls to people that bought soccer shoes? You could also add that to your database, but now you also need a heuristic to score item similarity: `category_matches * 10 + subcategory_matches * 5 + color_matches * 2 + …`

This is the whole point of ML. People have been building rule-based systems built on “domain expertise” for ages, only to find that they are limited and cannot compete with simple algorithms fed with enough data.



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Scarblac comments on “A blockchain is a specific set of choices suitable for a narrow set of use-cases”

> If you can invent a reliable alternative to proof-of-work distributed consensus there is a multi-billion dollar opportunity there.


Just use any authentication/authorization solution, contracts, the rule of law, reputation, everything we’ve always used to deal with varying degrees of trust.

Utter lack of trust is not a problem people have.

If you want to apply blockchain technology to anything real world (as opposed to coins that only exist _in_ the blockchain), then you need trust anyway whenever there is interaction (e.g. when someone inputs data, you need to trust its true anyway).

It’s really only useful for coins, that are themselves less useful than existing money.

It was an interesting mathematical puzzle to solve, shouldn’t have been made reality.



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sime2009 comments on “Hyper 2, Electron based terminal”

Actually it makes a lot of sense. For an electron based browser the vast bulk of it is in the HTML/CSS/JS engine just like normal, but instead of doing the higher level code and UI chrome in C++, you just use the same language and facilities which the engine itself already provides.



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baybal2 comments on “Thoughts on Low Latency Interrupt Handling”

Simpler MCUs have real hardwired SRAM access registers.

On more complex systems, even SRAM access goes through some stateful scheduling circuitry. So, interrupt latency on mainstream MCUs can’t be reduced much.

If you want XIP with adequate latency, there is no alternative to spending money on Everspin MRAM. You will have accommodate the latency of SPI access, but that was never an issue in my practice.



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fdr comments on “Renting Is Throwing Money Away Right?”

The strictly financial part of the calculation is important, but personal cost of volatility may be even more important for those in a position to choose to rent or buy. I suggest it should also give pause to those who plan to build extensive social capital somewhere long term, but continue to rent.

I view real estate ownership as a personal hedge. As we’ve seen in San Francisco from displacement of those in less lucrative sectors, rent that floats exposes you directly to the prosperity — and inflation — of all sectors in a region: in the future, that sector may not be your own. Property taxes expose you to this effect, but it is attenuated in magnitude (doubly so by California’s Prop 13). The inflation of rents rendering your employment in a sector in a place obsolete is not so important if you can pick up and move, but it can prove socially expensive (and not priced in) if you have roots, are a contributor to civil society and/or have children. I feel badly for lifetime-renters-by-necessity those whose social capital is wiped out by these fluctuations without any compensation.

As I see it, buying reduces the cross section of your outgoing flows to more radical local fluctuations, binding it to fixed or more moderate internationally-floating indicators (like ten-year treasuries, or LIBOR).

Notably, no major family outgoing flow is so volatile: groceries have similar costs nationwide. Many other goods are globalized, have substitute options, and little friction: housing stands out as the big exception.



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