GPT2-small is able to generate, and thus apparently understand, language to a surprisingly good degree. So we’d like to find out how it works.
There have been attempts to explain some parts of this network, but there remains confusion about how those parts interact with the rest of the network and whether we’ve found everything those parts do. There is a lot of confusion in general in this field, about “features”, “polysemanticity”, “sparseness” and how and where we can use those concepts.
When I imagine a general solution to Interpretability, it tends to be an algorithm that takes some network as an input and generates a fully annotated flow chart that can be modularly... (read 7825 more words →)
My selection:
4 miners, 2 smiths, 1 woodcutter, 1 farmer, 1 brewer, 2 warriors, 2 crafters
Considerations:
Miners:
Miners are clearly the best at producing value, but, as others have pointed out, some forts seem to inexplicably die if they have a lot of miners. I'm too lazy to do some deeper analysis of whether some combinations of metals make this more or less likely or something, so I'm just gonna cap our miners at 4.
Food:
2 farmers + 2 warriors or 1 farmer + 1 brewer + 2 warriors seems to be (exactly) enough for such a small expedition in all cases, and a single brewer seems to be good for value
Value:
As many miners as possible,
I'm recommending Fireball+Levee+Vambrace.
It seems like it's a turn-based format where wizards don't have control over which of 2 spells of a type(offensive or defensive) they're using, if they have more than 1 prepared. So with knowledge of what our opponent has prepared, it would be best if we could only prepare the best 2 spells (1 of each type) to counter his, and not have to randomly switch to the 2nd best some of the time. With that, we need to find out what is the least bad 2nd-best option for either type.
In defensive spells, there is nothing that counters both our opponent's offensive spells. Since it's presumably random which one they're
Notes:
-Traits:
Most nerds are otakus and vice versa. Nerds are great at time travel, otakus are great at everything except having a dark side. Postulating some underlying stats (and tentatively drawing the causal arrow stats -> traits, because of the uneven and correlated distribution of traits), it would seem that anyone with enough points in different stats, probably including something we can call intelligence, has a high chance of being an otaku, while only intelligence contributes to the chance of being a nerd. A dark side just switches your underlying stats to something much-better-distributed than normal, which is why it's often a good thing for non-otakus to take and bad for otakus, who
My budget:
30000 on grain shipments. Red moons, backwards geese and new constellations all aren't good signs for food production and with tons of doves and this being the highest-ev thing to do in a vacuum anyway it seems good enough, even though Italy's just had a famine.
10000 on the protection of Asclepius for Grecia. Stopping the spread >> preventing the outbreak
20000 on fire protection in Grecia and Hispania. Italia's new constellations should help with fires over there.
Defenses against pillaging are nice, but 50% doesn't seem enough to get the ev there higher than any of the others unless there are some major indications.
This was the most fun I've had analysing data and writing code probably ever. Unfortunately I missed the previous editions, but I'm looking forward to the next one. If I had played the previous ones, I might have steered further away from trying to explain effects by complex interactions that are common in this sort of card game in favour of simpler interactions that are more likely to be put into this sort of ruleset (for example things having one combat-relevant stat instead of two).
Because this was such a blast to play around with, I don't really have any specific things I would change.
The way the decks in the dataset were generated,... (read more)
My PvE list:
5 Lotus
3 Angel
2 Emperor
2 Pirate
A couple of people have already pointed out similarities to mtg/hearthstone so I thought it might be a good way to think explicitly about the rules/specific cards (some reasoning behind it, but these aren't predictions, just a way to solidify my intuitions):
- Hearthstone-like mana system since no lands (Lotus works like innervate?)
- Creatures regenerate like in mtg, otherwise bigger creatures could just be traded off with 2 or 3 smaller ones and it wouldn't be so big a deal to lotus one of them out
- Starting life total is balanced in a way that good aggro decks and good control (that is lotus ramp) decks have approximately even odds against each other
-
For the last 2 DnDsci's, I've only gotten the tag-notification for the evaluation, but not the first post. I'd like to participate again, but I keep missing it. Anyone else having that problem?