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lovecg

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The problem is the amount of data with that cutoff is really minuscule to produce anything powerful. You might be able to generate a lot of 1700s sounding data, you’d have to be careful not to introduce newer concepts or ways of thinking in that synthetic data though. A lot of modern texts talk about rates of change and the like in ways that are probably influenced by preexisting knowledge of calculus.

I’ve noticed some people with seemingly fulfilling hobbies stop doing them after quitting their job as well. It’s entirely possible all those hobbies are valuable precisely as something powerful to latch onto and disconnect from the day job, and seem pointless the day after quitting. Seems like you had a strong sense of identity outside of your job already before quitting. Building that could be a lot of hard work for other people (and it sometimes comes as a surprise that it even needs to be built).

I see quite a few:

“what X actually is”

“the X reality check”

Overuse of “real” and “genuine”:

The real story is actually in the article. … And the real issue for Cursor … They have real "brand awareness", and they are genuinely better than the cheaper open weights models - for now at least. It's a real conundrum for them.

… - these are genuinely massive expenses that dwarf inference costs.

This style just screams “Claude” to me.

Definitely, you can’t get much safer mode of travel than a modern airline. There are some humorous statistics that hour for hour taking a shower is more dangerous.

Accidents generally go up as you move down the scale of regularly scheduled airlines -> charter -> private with professional crew -> private flying.

You’d be surprised. Small aircraft crashes, if control is not lost before hitting the ground, are much more similar to car crashes than to large airliner crashes. For example, a recent “innovation” that saved a lot of lives was making shoulder belts (as opposed to lap only belts) standard.

If this was a jet there’s no good technical reason for it to stay so low, but one common reason could be air traffic control congestion, you go through different sectors at 10k than you would at 30k so it’s sometimes feasible to go lower and avoid long delays.

Let’s have some compassion, a lot of people are freaking out about their careers now and defense mechanisms are kicking in. It’s hard for a lot of people to say “actually yeah this thing can do most of my work now, and barrier of entry dropped to the ground”.

I’m guessing, would love someone who has first hand knowledge to comment. But my guess is it’s some combination of trying many different approaches in parallel (each in a fresh context), then picking the one that works, and splitting up the task into sequential steps, where the output of one step is condensed and is used as an input to the next step (with possibly human steering between steps)

Though is some cases it is a very interesting question, like why gold and copper the color they are instead of being boring and silvery like all the other metals?