3
points
BWStearns
Joined 3,122 karma
If you speak more than one language check out https://nativi.sh for helping to make your written second language more natural.
brianw.stearns@gmail.com
- 2 points
- BWStearnsAnyone have any good literature on alert fatigue as a general concept in design?
- > Some 9/11 attackers were CIA assets and protected from FBI/police scrutiny as such
Citation seriously needed. This is untrue unless the words you are using are not to be understood in any sense common to English speakers. The most generous fact based interpretation I can give it is that Saudi financiers were underscrutinized for political reasons, resulting in missed opportunities to stop the attacks. The actual attackers were not CIA nor FBI assets.
- Me and my wife made something very similar (https://nativi.sh/). I find it's a really good use case for LLMs to actually help you learn rather than doing everything for you.
Also, not sure if you're getting hugged to death but I'm getting this in the interface but not seeing any network failures.
``` Unable to process correction
Error processing your text. Please try again. ```
- https://www.reddit.com/r/drones/comments/1fvqiqz/angry_flori...
At least one Florida man is out there plinking Walmart drones at 400 feet with a 9mm. Saw another who took one down from a boat also with a pistol (probably 9mm also), but can't find the video now.
The Venn diagram of "shoots at drones" and "concerned with other people's safety" is two separate circles.
- > I consider [having a big benefit at 100% vs an 80/20 rule] a characteristic of type systems in general; a type system that you can rely on is vastly more useful than a type system you can almost rely on, and it doesn’t take much “almost” to greatly diminish the utility of a given type system.
This! This is why I don't particularly care for gradual typing in languages like Python. It's a lot of extra overhead but you still can't really rely on it for much. Typescript types are just barely over the hump in terms of being "always" enough reliable to really lean on it.
- It was a big miss calling them "prompt engineers" and not robopsychologists.
- 1 point
- I wonder if lunar space elevators might be the fix here. If I understand correctly, such an elevator would not be as subject to the perturbations since the tension would keep it's orbit stable (is it still an orbit if it's tethered?).
Another option might be a LORAN style system put up on towers. With lower gravity and no atmosphere I imagine we could stick transmitters up very high without super complex construction, maybe even just a giant carbon fiber tube with a transmitter at the top.
- What if we make it accomplish 20% less but spend 10% more money?
- Thanks for the clarification. I expected it worked like that but couldn't find it spelled out after a brief perusal of the docs.
- I have file A that's in two places and I run this.
I modify A_0. Does this modify A_1 as well or just kind of reify the new state of A_0 while leaving A_1 untouched?
- Built a writing assistant for second languages (https://nativi.sh). Still working on it a bit but mostly trying to figure out how marketing works.
Currently working on a few rust tools for drone stuff.
https://github.com/BWStearns/ulog-rs/ https://github.com/BWStearns/flight-engineer
- I was mostly just joking about him going off and running for Ohio governor. It does give "send the defeated noble to the frontier" vibes.
- https://github.com/lox-space/lox/blob/main/crates/lox-space/...
The example code is helpful for seeing how it'd be used (might be cool to link to it from the README while the docs are still todo)
- That's what happened to Vivek.
- As far as I know there's not really LLMs good enough that can run locally. Maybe with the R1 improvements and future derivative work that'll change.
We use about 4-6 calls per improvement and use a mix of Anthropic and OpenAI. Interestingly we really couldn't get sufficiently good performance from just one model. It's interesting how they can be good or bad at different tasks where one task doesn't seem materially harder than the other.
- 10 points
- What did they do?