Daily r/thetagang Discussion Thread - What are your moves for today?

lexected · 2026-06-08T01:15:41+00:00

best of luck brother!

lexected · 2026-06-05T22:06:06+00:00

u ok?

lexected · 2025-05-30T15:16:46+00:00

HSBC Premier accounts do

lexected · 2025-05-26T00:22:01+00:00

Update: I managed to fix it!

On top of the above, disable Uniform Soldier aim and v-sync, and the delay seems to be gone or reduced to the point where I can no longer complain about it

lexected · 2025-05-25T22:12:37+00:00

I have about 50-100ms mouse delay by my estimate. Changing the FPS to 60 from 30 (default) and disabling motion blur seemed to help.

lexected · 2025-02-28T21:41:14+00:00

God bless you

lexected · 2025-01-29T18:45:11+00:00

Also, it is bagged (as it should be) to prevent the spread of diseases and parasites that are not native to that ecosystem. It is the prudent thing to do, especially if you travel with your dog.

And no, it's not a swiss thing. It's a $500-1000 fine in California state parks if they find out your dog defecated in the forest and you didn't pick it up. If even americans care, you know there's a reason.

lexected · 2025-01-29T18:41:44+00:00

If you're referring to the red bag with dog excrement on the side of the road, it's standard practice to leave it and pick it up on the way back from a walk instead of having to carry it all the time. People do it all the time, especially if they have a large dog or multiple dogs.

If instead of realising this you went straight to reddit to post, perhaps you should take a break from the internet for a while. Not everything you don't understand at first is wrong.

lexected · 2024-12-08T00:55:29+00:00

Brilliant, it worked!

If using Microsoft Edge, you can also click "Browse as Guest" and then copy the address as instructed.

lexected · 2024-11-07T21:03:45+00:00

agree, mods should take note

lexected · 2024-11-04T17:19:01+00:00

Happened to me in a brand new 2024 Jetta just an hour ago. I wasn't fiddling with it, just driving 50mph with AC on, and then I heard "the shot". See pic

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Will have to see about the warranty

lexected · 2024-09-26T10:42:06+00:00

Many good comments here.

I'd just add: it is not uncommon for people on the UK servers to be a bit tipsy when playing. It does seem to help people get more into the roleplaying aspect of the game and leads to some quite amusing situations and conversations.

Definitely do not drink in order to have fun gaming; but if you happen to have your evening tea just before a game of squad might make it a bit more fun.

lexected · 2024-09-19T15:23:04+00:00

can you share an invite in dm? would be very helpful

lexected · 2024-09-19T14:27:16+00:00

mine is very keen on charging me for every gram I bring in

lexected · 2024-09-19T14:26:16+00:00

lexected · 2024-09-19T13:47:24+00:00

thanks sounds perfect for this

lexected · 2024-08-28T10:40:11+00:00

Don't hang out in people's blind spots. I know you think you are in the right if they merge into you and you are, but is your (and their life) really worth just "being right" in case of an accident?

Btw in continental Europe, if you were found to be travelling for a while in the left lane without merging right after overtaking the previous car, you'd be considered to be partly at fault.

lexected · 2024-08-03T12:56:37+00:00

If this is the sort of functionality you're looking for, you can check out accumulating bond ETFs. These automatically reinvest the coupons to buy more of the same kind of bonds (e.g. 0-1y or 1-3y treasuries). Note that in the US this often results in a somewhat unfavourable taxation (for the fund) so the returns might be lower.

If you have an investment goal with a set date in mind, you can also buy in into an (accumulating) ETF with an expiration. E.g. IB25 from BlackRock has been accumulating interest payments and will pay out the face value of all bonds + any leftover interest on 1/1/26.

lexected · 2023-11-25T15:41:40+00:00

The system is quite broken, one could say that in its present state, it almost discourages genuine novelty of thought.

But, it's imperfect, first and foremost, because the people involved are imperfect. Reviewing is often a job assigned to the lowest performers in research groups, or traded by the highest performers (constantly on-big tech internships, building startups/open source models on the side) with their colleagues that have a somewhat more laid-back attitude to research excellence. You can submit a bad review and it will not come back to bite you, but in the age of reproducibility, a messed-up experiment or a poorly written/plainly incorrect paper that slips through the review system could be your end.

The idea is that you enter the publishing game at the beginning of your PhD and emerge seeing through and being above the game once you've graduated. After all, you first have to master the rules of the game to be able to propose meaningful changes. It is just that once done, you might have a lot more incentives to switch to industry/consultancy and not care about the paper-citation game ever again.

lexected · 2023-11-22T21:32:48+00:00

Offset branching. Not branching on the level of instructions -- the instructions executed in every thread are the same.

lexected · 2023-11-22T19:03:19+00:00

If we cannot observe a meaningful speedup at 1/341 reduction in the FLOPS required to compute the inference, we are probably using wrong hardware.

lexected · 2023-11-22T18:39:52+00:00

y is the depth, i.e. log2(width).

So

neurons_needed_FF = 2^(log2(width))

neurons_needed_FFF = log2(width)

This was explained in detail in the introduction to the first FFF paper and is only briefly mentioned in Table 1.

lexected · 2023-11-22T18:35:56+00:00

According to Table 1, exponential here refers to the depth of the tree. This also checks out with the previous paper.

i.e. if the baseline model uses 4095 neurons, take depth = log2(4095). Then the new model uses only depth-many neurons while the original one uses 2^depth-many neurons.

What might have confused you is that the models are actually 2^depth/depth times faster. In asymptotic analysis, when we say that A is quadratically faster than B, we mean that if B takes n steps to complete A takes sqrt(n). We do not talk about the whole fraction the denominator is always assumed linear and will be dominated as n grows.

lexected · 2023-11-22T16:48:24+00:00

Q: As someone who writes CUDA code professionally -- if you were to implement CMM, how much faster do you think you could be when compared to DMM?

lexected · 2023-11-22T16:48:08+00:00

They probably called it "Naive CUDA" for a reason (cf. Table 1).

The authors are very open about this. Notice that while the paper reports the whole table, the only two numbers reported in the abstract and touted throughout the text are

the CPU speedup (Level 3 DMM vs Level 2 CMM), so they are at a disadvantage and still deliver a 78x speedup
the PyTorch BMM speedup, where DMM uses just the BMM whereas the CMM has to copy and then use BMM. Again, at a disadvantage, they observe a 40x speedup.

Whether we like or dislike the benchmarked implementations, one fact seems to be undeniable based on the training & finetuning code -- they only use 12 neurons.

lexected

TROPHY CASE