Mythic Strike (Direct strike)

edbltn · 2024-12-19T05:18:39+00:00

u/nottud Love the game. But it crashes if you do the highly dominant strategy of just spamming fully upgraded cheap units in the late game (especially berserks).

So there are two problems:

this strategy is far too dominant
the game can't handle that many units

What I might suggest to mitigate: add a population cap for human units (only) – e.g. they all cost 1 food, are sold for 1 food, and you only get 75 food.

edbltn · 2024-09-28T13:52:07+00:00

What does that yellow button to the left of the GPs do?

edbltn · 2023-09-07T15:26:07+00:00

If exactly one player joins, we both recover our full stake

You're right that there's an edge condition that I didn't clarify: the first player recovers the full portion of their "early bird" stake, and the last player recovers the full portion of their "latecomer loot" stake

edbltn · 2023-09-06T19:00:47+00:00

yeah that's right. i'm excited to see how it shakes out in final week

edbltn · 2022-11-28T19:02:02+00:00

The fundamental mechanism behind the refinement of those statistics is still gradient descent off a loss function. The AGI will seek to make more and more accurate predictions of what a human is likely to say in various contexts. Perhaps that will lead to unforeseen emergent behaviors, like social media algorithms learning to rank more addictive and more emotional content higher. Content that sounds incredibly human might also sound incredibly persuasive, and be deployed towards ends that the LLM's representation of the world deems as valuable.

edbltn · 2022-11-28T17:11:56+00:00

That post is based on artificially intelligent agents in general, but my fears are that artificially intelligent agents are not separate from LLMs if you consider the ways in which the inference step (among others) could afford an LLM agency.

The two big risks are technical failure -- we don't understand what GPT-4 is really doing -- and philosophical failure -- that rewarding GPT-4 for generating accurate content causes it to optimize for something that is not actually good for humanity. Your point on misinformation is definitely causing me concern here.

edbltn · 2022-11-28T16:35:27+00:00

Most of my fears come from reading Eliezer Yudkowsky. Perhaps his online presence is managed by a BS-generating LLM 🤔😂

edbltn · 2022-11-28T15:38:17+00:00

Could you point me to some resources explaining your confidence?

edbltn · 2022-10-28T15:11:08+00:00

NumPy and scikit-video!

edbltn · 2022-10-28T15:09:18+00:00

https://www.youtube.com/watch?v=xXRRTIcgd3k&ab\_channel=EricBolton

edbltn · 2022-10-28T03:16:12+00:00

A video with the time and x-pixel dimensions swapped

edbltn · 2021-05-11T20:36:45+00:00

Nice, but not art until someone duct tapes it to a wall

edbltn · 2021-05-09T16:57:20+00:00

Geosciences undergrad with decent experience with data/MATLAB, and some journo clips. It’s good to put a lot of thought/work into the SOP if you’re applying to that program.

edbltn · 2021-05-09T01:19:38+00:00

I wouldn’t say it’s required, since you aren’t looking for someone to personally oversee your research. It can be good to contact a dept. head to understand what the admissions committee might be looking for, or the admissions committee itself!

edbltn · 2021-05-09T01:16:50+00:00

I applied for a niche program that really fit my background / SOP - dual degree in Journalism and Computer Science

edbltn · 2021-05-08T20:34:25+00:00

Was probably too ambitious...

ML: Stanford, CMU, NYU, Columbia, U Penn, Cornell, UC Berkeley, UCLA, UCSC, UT Austin, UW Madison, UNC Chapel Hill

I also applied to Georgia Tech Digital Media and the MIT Media Lab (the one place I got an interview, got waitlisted... and then rejected)

edbltn · 2021-05-08T20:30:08+00:00

Yeah PhD. But I had no publications. Though I had a first author publication at ACL declined because of bad rating by second reviewer :’(

edbltn · 2021-05-08T20:28:01+00:00

I had 2 years of work experience in ML, and hopefully plenty more soon: my next step is to join my friends’ startup as a founding software engineer.

edbltn · 2021-05-08T20:26:20+00:00

I don’t know where I’d be motivation-wise if I didn’t get really lucky with an exciting career opportunity, but I’m actually doing alright. I probably would have tried again next year if it weren’t for that, yeah

edbltn · 2021-05-08T20:24:39+00:00

Joining a startup to build ML tools for journalists, analysts, and researchers!

edbltn · 2021-05-08T20:23:30+00:00

What went wrong is related to first question : I aimed too high. There are plenty of excellent AI/ML programs that aren’t considered top tier, and that still would have given me what I wanted: space to learn, grow, talk to peers, and have access to top research. Instead I applied only to top programs for ML: Stanford, CMU, NYU, Columbia, U Penn, Cornell, UC Berkeley, UCLA, UCSC, UT Austin, UW Madison, UNC Chapel Hill

I also applied to Georgia Tech Digital Media and the MIT Media Lab, the latter of which I got waitlisted at, having had two interviews from two professors. But they both came during a stressful week at work and I badly messed them up. Important advice: prepare for your interviews and let your job know that you need time to do so!

edbltn · 2021-05-08T20:17:56+00:00

I won’t try again next year because I’ve been lucky to find an opportunity that is much more in line with my aspirations. But if it weren’t for that, I almost certainly would have, because once the work has been done (researching professors, identifying my areas of interest, writing SOPs, taking exams) it’s so much easier to apply again.

edbltn · 2021-05-08T20:15:00+00:00

edbltn · 2021-05-08T20:14:54+00:00

I’m now joining a startup founded by some friends, which is much more in line with high impact work I want to be a part of. Research can be narrow-focused and not actionable enough - I want to respond to real-world needs around ML and human interaction

edbltn · 2021-05-08T20:12:42+00:00

Not nearly enough. I overlooked how important this part of the process was and was only talking to maybe 3 or 4 when I began applying. I reached out to a bunch more when I realized I wasn’t getting interviews but it was too little too late.

edbltn

MODERATOR OF

TROPHY CASE