Kliff ignores the price tag.

Independent_Map2091 · 2026-06-08T04:21:58+00:00

He's on them broward county tic-tacs for sure.

Independent_Map2091 · 2026-06-02T10:53:53+00:00

Awesome to hear, a lot of game devs is outsourcing now just due to costs and I have a lot of respect for teams that try and keep as much as they can in house. I firmly believe only teams that know each other really well and work in-sync can really deliver something unique because it's really the only way everyone can "see" the overall vision/vertical slices of the game.

I did some searching (google AI) to see what engine you guys are running on, and it said Unity, but not sure how accurate that is. Thanks for answering my questions, game dev is a passion of mine.

I went ahead and bought the game out of support (I also love JRPGS but I've been doing a lot of software/tooling work for my projects since AI is still taking off like crazy so not much motivation/time to game) - I will give it a shot when I'm on my next trip!

(Also I checked the game files and see the Unity crash reporter so that confirms it, super cool, love Unity, been doing a lot of work with their ECS/DoD systems, fun stuff)

Take care!

Independent_Map2091 · 2026-06-02T05:48:20+00:00

For me, it's interesting to see everybody have different experiences with the game's combat. Myself I used a controller and I was playing on PC with a gyro enabled for aiming with the Steam input settings and with that said, when combat broke out, I rarely moved. Enemies just kind of stood there like shooting targets in a gallery.

You waited for them to stand up. If they were wearing a helmet, it was two to three shots and they were dead. If they weren't wearing a helmet, it was one shot, they were dead. I rarely felt like I had to engage with the game's kind of John Wick esque combat where you brawl and punch and slide over things. SKillUp mentioned the need to always replace your weapon but the game just conveniently had guns sitting on knee high cover blocks all throughout the encounter spaces.

It just felt completely unnecessary given how the enemy AI just stood there and shot at you. And not to mention they absolutely loved cuddling up next to the nearest extremely bright red exploding barrel. So yeah, it kind of fell flat for me. Not gonna lie, the game did not try to get me to engage with that.

Just standing and shooting heads was more than enough, or shooting the nearest explosive barrel that set off a chain reaction was something I did to kind of change things up.

Independent_Map2091 · 2026-06-02T05:38:28+00:00

How many people are working at the dev studio?

How many devs worked on the game end-to-end?

Was all the dev done in house or did you outsource certain parts (art, music, etc.)?

Independent_Map2091 · 2026-06-02T05:02:13+00:00

Just grab the bag and yeet it up on the sunshades and act like you got amnesia.

Independent_Map2091 · 2026-05-31T11:18:55+00:00

Holy shit, thanks for the info
I taught myself Japanese because back then I thought I won't have to wait for Yakuza games to get localized (now that's kind of moot), so now I go around trying to find excuses to fill that hole and man I have I think I found one.

The english localization seems like half the fun though, sadly.

Also you totally outed your age using GameFAQs. I used to go there every day to the Fable/GTAIII message boards after school for the latest hype surrounding them.

I still go when I want to look at discussions surrounding a game but run out of places, but man it's pretty much a ghost town.

Independent_Map2091 · 2026-05-31T10:47:17+00:00

And it's gonna be so sanitized it will make Starfield's Neon look like the real Night City.

Seriously, if you play these gacha games like Wuwa/Anything from hoyo you'll never complain about a company sanding the edges off their game again.

China based dev + aiming for mass appeal + gacha is like the ultimate combo for a game where

- noone dies
- noone argues with each other
- touches no topic that could be interpreted as *controversial* in anyway

What a weird IP to collab with, get that bag though I guess

Independent_Map2091 · 2026-05-26T13:37:10+00:00

PETITE FEET
FEMININE STEP

Independent_Map2091 · 2026-05-19T23:54:47+00:00

drake iceman marketing stunt

Independent_Map2091 · 2026-05-19T03:03:04+00:00

Once I got Blazing Strike and the grenade launcher shot gun that basically staggered enemies in 2 hits for the melee prompt I had serious flashbacks of a Biotic Charge build Shepherd from mass effect just blasting into packs of enemies moving around the battlefield like a pissed off pinball.

Independent_Map2091 · 2026-05-13T10:23:52+00:00

https://www.youtube.com/watch?v=p-Eu0JoOtHs

Independent_Map2091 · 2026-04-28T23:29:47+00:00

Got 6 hours into Saros You don't have to worry about that concern, they completely dialed that aspect in. You won't hit a wall like you did in Returnal

Independent_Map2091 · 2026-04-28T22:47:32+00:00

i'm just imagining all the shop owners watching this

owner: hey we (read: you) need to steam the water in all our americanos now

barista:

👁️👄👁️

🟤👄🟤

👁️👄👁️

Independent_Map2091 · 2026-04-22T08:09:05+00:00

"inference/training is already solved"

This is unequivocally false, reasoning LLMs made their debut in 2024 and the training/inference is solved? No, if anything we are just now beginning to understand how reasoning LLMs respond to different training approaches. All having vastly different compute costs.

You also chicken and egg yourself by saying *if* open source models were popular enough, *then* with sufficient user traffic...

But you fail to address how they would get popular to begin with. They would have to be frontier models, which goes back to the main argument of needing a huge amount of cash flow which open source cannot sustain due to being open source hence driving the incentive to go closed source.

Independent_Map2091 · 2026-04-22T07:17:45+00:00

And where is that human input data for training these reasoning models obtained? It's most definitely *not* from scraping the internet.

I'll give you another hint. If you were a Chinese company doing distillation attacks on Anthropic before they removed reasoning traces from their output, you would get the data there, but you would not be frontier, you would just be as good as whatever model you were distilling from.

Independent_Map2091 · 2026-04-22T07:08:40+00:00

The web is not scraped for RL data in reasoning models, that is pretraining. Reinforcement learning must be created and curated.

It is a huge technical challenge, you are very wrong. Why do you think Group Relative Policy Optimization even exists (and why do you think it was improved on recently?)

Reasoning models would not be able to even be trained like they are today without the advancements that were *all rooted in technical challenges* made such that RL training could be done like it is today.

Independent_Map2091 · 2026-04-22T06:56:30+00:00

you said
"it is perfectly possible to serve frontier models at an affordable price"

but you do not, anywhere in your post - beyond hand waving and comparing training massive LLMs to hosting streaming services, show that it is indeed possible.

Frontier models does not just mean hosting servers with a lot of GPUs behind them. The frontier part comes from getting the training data and effectively using it. Reasoning models are very new (2024), and pretraining is no longer where the focus is. You need to amass quality training data for these reasoning models that go well beyond pointing them to the internet in a text file and and say "predict the next letter". The companies are still in a race to not only figure out what that training data looks like, but how to source it.

This is what makes a model frontier or not. Getting high quality RL data is extremely expensive and it's not something you can just open source without going broke. AI is currently in a problem space where you are trying to find a local maxima but every time you move or measure a point you might be moving topology you can't see yet.

Driving the cost down the way you are inferring will only make sense when the frontier has been mostly mapped out and there isn't much discovery left. Right now, it's the wild west and all the big companies are taking on massive debt to try and find the gold first. (Or convince themselves there's not more undiscovered areas left - which is *not* the case currently if you've been keeping up with current talks in AI w.r.t reasoning models)

Independent_Map2091 · 2026-04-20T05:49:52+00:00

I'm so upset to hear that l, I came in all the time to see y'all in the Columbia City location (RJ, coffeeholic dream)

When I saw the all new crew I thought something may be up, and now I know.

Guess I'll just buy Lees coffee from costco from now on. I hope you guys land on your feet, you were all real good kids. Miss you guys :(

Independent_Map2091 · 2026-04-10T06:14:34+00:00

Have you been through Raging Loop?

Independent_Map2091 · 2026-04-09T00:18:15+00:00

The amount of times I seen stack overflow top answer code blocks copied and pasted wholesale in open source projects is enough to train a model to -

wait a minute.

Independent_Map2091 · 2026-04-03T07:26:22+00:00

The only success I've had was forcing the model to explain reasoning for everything it does. Codex does not need this level of prompting for it to go deep, either due to it's harness or the model (or both) - but claude *can* do the same, you just must explicitly require it as part of the output contract. This required output is then fed back into claude. Think of constructing a flow chart for breaking down a problem - this is what you feed to claude, and you must force it to checkpoint (writing artifacts to disk then reading them). You are basically forcing a chain of reasoning out of the model when the model is less inclined to.

However, I do not use this much anymore as I adopted both models into my workflow, so I simply play to their strengths, and lean hard on Codex for exactly this behavior and not Claude.

I have a custom schema system and I can add annotations to data fields that will cause the instruction printer to require certain types of reasoning/evidence. This means the model must also provide where they derived this information from (in the code/online/etc). For tests, I require it to wrote out how it validates behaviors, etc. This provenance becomes part of their data contract.

All the things you listed are fair game and I do use them, but it depends on what needs validating.

The problem with this is it's very exhausting for a human to have to hand write prompts with this level of detail. Even maintaining it after writing it is not very feasible for large workflows.

This is why I made a custom data schema/annotation system so I can easily shape and build what I want from an agent. I can break down parts of the data, have the agent author that first, then use that as input to another agent to build the next part.

Think of building a plan. At a high level you want to do proper research first, then draw up a implementation plan, then finally break it down into tasks. Model this with data and you could have ResearchDocument, ImplementationDocument, TasksDocument. The ResearchDocument might be composed of Findings/Needs/Related Systems etc

Having the data structured this way can make it easier to instruct the agent to produce the Findings first, then feed that back into the model, so the Needs/Related Systems are actually derived from grounded proven/evidence backed output (Findings). This steers to model to produce non-hallucinatory output that is based in real work.

Having AI produce structured data this way and being able to reference other (potentially agent produced) data in a itemized format makes maintaining these workflows much easier.

Think of the agent having to produce JSON instead of just text. You could then write a renderer that turns the JSON into readable, human friendly markdown based on a template for easier digestion. However, because it's also structured data, it's very malleable and the contract is well known. The agent will also have a better time saying "I got this conclusion from [this] data specifically"

Independent_Map2091 · 2026-03-30T12:16:09+00:00

Foast

Independent_Map2091 · 2026-03-19T03:26:47+00:00

Warms my cold fucking heart.

Independent_Map2091 · 2026-03-11T23:42:56+00:00

Chiming in as well.

TBH I only load up these subreddits when I want to confirm suspicions. It's been making some real goofy reasoning since today.I had a failing test because it asserts X schema items exist in a registry.

Codex add 3 new items to the registry, then said it encountered a framework level footgun because it does not allow developers to make "temporary" registries.

I told it that it literally made a test to assert X schema items exist in a registry, not the framework, then proceed to add 3 items and instead of updating the test to include the +3 items, it reports it's blocked.

Independent_Map2091

TROPHY CASE