It’s a combination of cultural assumptions, facial expressions and affectations, thinking patterns, and a whole cultural upbringing that can lead you to very different mental processes and natural conclusions starting from the same words and phrases.

Language absolutely encodes a certain form of intelligence. A lot of those things are reflected not just in the totality of the culture but the language itself. Being fluent leads you to different thinking patterns and different conclusions when processing in that language.

In that vein, doesn’t “competition for relationships” necessarily breed egocentrism above all else? The winning relationship will give you what you want, but not what is necessarily true…

In that vein, you might also consider that the commenters you’re replying to may be worth engaging intellectually with more deeply purely based on the fact that they’re presenting divergent views that are uncomfortable.

Based on how we’ve designed AI to date and how you describe it in terms of optimizing for self enjoyment for each individual (and difficult to argue most will choose that for themselves), it’s hard to see a world where AI can push productive conflict the way humans can.

Then again, I might just be a flawed human who doesn’t fully understand the point you are trying to make and is extrapolating from my own biases, flaws, experiences, and the limited sample size I have of your point of view.

Almost by definition, if you are in the state of mind to consider suicide, you are probably not accurately and impartially weighing the question proposed — and that means it’s likely mostly independent of individual circumstances and values.

(This is different to how I felt when I was younger, and coming from someone who has had several people close to me feel that way at one point in their lives, and now living incredibly positive lives a few years after the fact)

I can see some limited circumstances where it is carefully and openly considered over a longer period of time — like a terminal illness, or unbearable and unsolvable chronic pain — but those cases are the minority by far.

But the headline says “Scented products cause indoor air pollution on par with car exhaust”. This is not supported by the study. PM2.5 and VOCs are not the only forms of indoor air pollution. Combustion produces other deleterious byproducts that negatively impact human health.

Run a car in your garage for a day and run scented candle and tell me which is worse for you. That is what I mean by common sense.

One frustrating aspect to the study is that it was hard to determine whether they are comparing like for like per unit time. They say the “operation of a gas stove” and “running a generator” — but for how long? It doesn’t seem like they tested each of these things under similar conditions in their lab but rather relied on other studies for that data. Figure 2(b) right does seem to measure this but they haven’t labeled the chart with clear labels and the description is a bit ambiguous.

After reading the study, I think the issue is that the claim it is making is slightly different than the one in the headline. They are measuring VOC and ~PM2.5 pollutants, but gas engines (and gas stoves presumably as well) produce other pollutants like CO, which is what kills you of you run a gas generator indoors.

The issue I faced is that monoculture in teams becomes increasingly self reinforcing over time to the point that it can be difficult to reverse, and then becomes problematic for hiring and retaining the best talent.

Two concrete examples here: An engineering team that was overwhelmingly men, and where we had difficulty retaining extremely talented women engineers because despite everyone’s best efforts they didn’t feel comfortable on the team. And an identical problem on our finance team, except in this case we lost a very talented man who didn’t feel comfortable in a team exclusively made up of women. In many cases, as you continue to scale the company and team, it can become more difficult over time to attract the top talent who often even self select out of the hiring process.

Putting yourself in my shoes, how would you solve for this?

A flood of high quality AI content might devalue it as it becomes too normal, familiar or expected. In a strange way, this might reinvigorate interest in back catalogs.

Also, some content is truly timeless regardless of its production quality. Our kids have the world’s content at their disposal and their favorite is currently Tom & Jerry episodes from the 1960s. Go figure.

I would imagine that most people who have a serious interest in weather forecasting and would be target users of this service don’t think in terms of number of points but rather in lat/lon bounds, resolution, and number of hours & days for the predictions. I imagine they would also like to download a GRIB and not a CSV.

Your pricing for any large enough area to be useful presumably gets somewhat prohibitive, eg covering the North Pacific (useful for West Coast modeling) at 0.25 deg resolution might be ~300k data points per hour if I am doing my math right?

Only problem, their thermostats and apps really suck.

It has to translate a 2-stage signal into a fully modulating output, and it still seems to do a lot more on & off with high fan speeds than I would like or would be most efficient (as an aside, yes I have verified that the dip switches are in the correct position on the converters).

On the other hand, the unit at my in-laws tends to blow gently but consistently which is both more comfortable and more efficient.