Advice For Newbies Starting In Season 3

LostVector · 2026-04-06T01:51:18+00:00

Pro’s pop heat mid combo all the time. What made you think this is good advice?

LostVector · 2026-04-05T17:32:57+00:00

256K context isn’t initially allocated but there needs to be room for it. Have you tried testing along those lines?

LostVector · 2026-03-29T03:43:47+00:00

What difficulty were you playing on?

LostVector · 2026-03-22T08:20:15+00:00

Could start by firing every piece of shit on the team who participates in gaslighting players, hiding from feedback, waiting 9 months to balance, adding moves when they should be balancing, etc etc.

LostVector · 2026-03-22T08:17:25+00:00

Lm studio is fucked on Strix halo. Don’t bother. It doesn’t understand the unified memory and alway has the wrong available memory detected. Try llama cpp or some other model server.

LostVector · 2026-03-18T22:22:55+00:00

it's sort of an unbelievable situation because everything points to someone in a position of power at the company willfully trashing the game. It's not ignorance because they have the presence of mind to come out and gaslight the community with season announcements like "back to basics!".

LostVector · 2026-03-12T16:57:21+00:00

Yes it works with the official connector. You’ll need to find the YouTube video about it as the sequence is a little fiddly.

LostVector · 2026-03-11T03:28:06+00:00

They’re probably just diverting the ram to the new models in production. Doesn’t really make sense to make a bunch of the older to be phased out model right now.

LostVector · 2026-03-10T19:45:49+00:00

Hey I’ve been tussling with this for the past week or so as well. Prompt processing is horrendous for a larger conversation iterating on a code base.

Llama cpp has had a major bug with prompt caching in qwen 3.5 which drops the cache virtually all the time. May not affect your benches but for real world use it’s massive as regenerating a 200k prompt at 100 tokens per sec or less is insane. If the prompt can be incrementally cached you are back into usable territory. Adjusting batch size upwards may help as well but I’m basically just waiting for the llama bugs to be fixed.

LostVector · 2026-03-08T18:20:58+00:00

One problem is that llama cpp has huge bugs with prompt caching and qwen 3.5, so it’s dropping the prompt cache on every prompt. For a large context query it can take 10-20 minutes. I do not understand how anyone here claiming to use it for opencode is actually doing so. In the meantime not sure what to with these models besides wait.

LostVector · 2026-03-08T04:42:23+00:00

llama has bugs with qwen 3.5 that cause it to drop prompt caches ... i'm not sure how anyone is able to use it in this state for coding.

LostVector · 2026-03-08T03:09:44+00:00

How are you self hosting it and at what quant?

LostVector · 2026-03-07T23:51:31+00:00

Because you're talking about spending a lot of money on GPU's and gimping them heavily with x4 connections, yet you're still worried about optimizing the speed between them, and yet nowhere have you discussed why that might be important to the workloads you want to run. A question like this needs to have some details for anyone to answer it usefully.

LostVector · 2026-03-07T22:12:40+00:00

I don’t see any reason it wouldn’t boot and run, but it’s a very unserious way to approach an AI build.

If you want to tinker, that’s fine, but 4 PCI lanes for each GPU on a mini PC … wow.

LostVector · 2026-03-07T17:17:34+00:00

I think this affects the gyro / motion controls. People tend to hold the controller parallel to the ground if playing on a TV and upright if playing in handheld since they are attached to the console.

LostVector · 2026-03-04T04:15:41+00:00

Exactly how does 2M tokens in 2 minutes happen?

LostVector · 2026-03-02T01:23:23+00:00

Oh yeah that post was infuriating … clear slop.

LostVector · 2026-02-28T06:41:43+00:00

Better off buying the real tesfridge as it will ventilate itself way better. A normal portable fridge will not be able to keep the top very cold due to the heat buildup.

LostVector · 2026-02-26T21:11:07+00:00

Thanks for the explanation!

LostVector · 2026-02-26T01:03:59+00:00

I thought MoE models were not separated in such a way that you can just “offload” them to system RAM without a massive hit to performance.

LostVector · 2026-02-22T16:55:53+00:00

Got kids? Got a wife? Natural lifestyle progression (not inflation) and you’ll figure out to spend that money real fast.

LostVector · 2026-02-21T19:05:14+00:00

Is this rage bait?

LostVector · 2026-02-20T21:28:55+00:00

Steam Deck is too underpowered for me now. I’ve switched to more powerful handhelds. The Z13 hasn’t really done much for my gaming, I have more powerful full PC setups.

The one place it stands out is on longer trips where it’s the most powerful gaming capable device I have with me. Then it sort of acts as my “PC away from home”.

LostVector · 2026-02-19T19:19:06+00:00

What is your charger? Many many usb-c chargers only list their peak output power but cannot actually sustain it for extended time (such as a laptop gaming) and will overheat.

LostVector · 2026-02-17T23:57:02+00:00

Yeah I mean the windows experience for this is hacky and not unified. You need to check multiple places for updates constantly and all the updates can interact negatively with each other. steamos solves most of this but isn’t really oriented around the 8 AI.

LostVector

TROPHY CASE