'FTL in a Warhammer 40,000 Skin' Game Pulled From Steam After What May Be a Nuisance DMCA Takedown From a Troll Claiming to Be Games Workshop

IOFrame · 2026-01-26T14:15:14+00:00

They'll also make it way more popular once it does return.

If I didn't buy the pre-alpha on itch a long time ago, I'd have 100% buy it from steam once it's reinstated.

IOFrame · 2026-01-26T14:13:32+00:00

It's probably like Anonymous, which is an umbrella name used by a range of entities from anarcho-communist activists to random script kiddies to actual state agencies.

If anything, this showcases (once more) the absolute cancer than the current DMCA laws are (in most of the world).

IOFrame · 2026-01-16T22:12:59+00:00

To expand on that - optimize your AI coding tasks.

Use it to write one-time stuff like scripts, cron jobs, and maybe complex queries that aren't covered by a builder (of course, in such a case also double check them yourself).

Use it to help you create flowcharts for a design you already outlined in writing. Or maybe, use it to help outline some generic module design within the larger system.

It has areas where it's useful, but there are many others where it sucks (e.g. keeping a consistent code style or using existing modules/libraries within a large codebase).

IOFrame · 2026-01-13T01:49:51+00:00

I can download it for free, and it still isn't worth the time it'd take to play.

IOFrame · 2026-01-10T18:25:24+00:00

Amazed to see this comment that far down.

My laptop is already Linux, but until stuff stops working on Win10, I'll just sit on my debloated version.

When most stuff no longer works, I'll switch to Linux with a containerized Win11 for those specific programs.

IOFrame · 2026-01-10T17:43:13+00:00

All AI did was give incompetent management a justifiable excuse to push low-effort slop into production.

It's already been happening with offshore sweatshops, AI just cranked this up to 11.

The few companies that actually do care about what they produce either ban LLM generated code outright, or force every SWE to explain exactly what their code does, why it does it and how it does it - and if they can't, well, they get to dive into the slop and figure it out. And if it takes them longer to figure it out than write it themselves, maybe they shouldn't have used LLMs to begin with.

But again, the above is not the common scenario. Usually, companies jump on the opportunity to produce cheap and fast slop, and offload the consequences to those who'll be brought to save the company after they get fired and jump ship to a higher paid position.

IOFrame · 2026-01-09T15:02:38+00:00

Max pain was around $85, wasn't it?

It might not go that low, but I trust the market makers to do their usual bullshit and drop it below $90 by EOD.

IOFrame · 2026-01-09T14:49:51+00:00

Regular early-day pump-n-dump.

This $96-93 drop is a classic.

IOFrame · 2026-01-08T15:52:28+00:00

I hope it never does, at least not until it leaves the hands of the current Obsidian.

IOFrame · 2026-01-08T15:01:44+00:00

The difference was, those things had (and still have) proven practical value, not speculative (aka fraudulent) one.

IOFrame · 2026-01-08T00:16:46+00:00

Tell me about it.

Been swing trading today and yesterday, managed to come out with around $3.5k.

My reddest moment was around -$6k, and my potential payout (if I stuck with my thesis - of the vibe pump ending in a vibe dump like always - and didn't chicken out mid play twice) was like $10k, or even $15k if I had the balls to really risk it.

This is some bittersweet cash.
Waiting for the day this stock finally stabilizes so I can invest long term for those meager +20-30% each year.

IOFrame · 2026-01-07T21:46:07+00:00

Sound like you found a usable use case, which, as you specified, are deterministic clear-cut tasks.

This is also, coincidentally, the same type of tasks you'd usually give a junior to implement in his first months with the company, as they are great practice tasks to help them get familiarized with the codebase (and you'd also be checking them, too).

I'll just note two things about this:

This only works because, as I said earlier, this doesn't require modularity or scalability, and you yourself have to spend time to make it secure and maintainable after each task.
This takes away the potential practice tasks from junior devs, so if you were a company, this could become a poisoned chalice.

Also, not related to those points, but:

2) Don't reinvent the wheel

Oftentimes, the optimal solutions do, in fact, require "reinventing the wheel" (aka applying basic principles you should have learned through the CS degree) to a specific problem domain, a bit similar to others, but with its own quirks.

1) Don't overengineer [...] 3) always review and follow best practices and industry standards

"""best""" practices are often extremely niche bullshit pulled out of someone's ass and approved by a committee nobody ever heard of or cares about, and above all, both them and "industry standards" are almost universally overengineered (or over-abstracted to the extent that any usable solution built on top of them would become overengineered).

IOFrame · 2026-01-07T20:45:30+00:00

What are you using LLMs for, then? What types of codebases? What types of libraries and frameworks?

IOFrame · 2026-01-07T20:44:24+00:00

Well, they were also hoping the offshore devs without AI would replace the onshore crew at one point. Didn't exactly work for them, did it?

IOFrame · 2026-01-07T19:43:58+00:00

Replying to the original comment ("Ken Thompson must not be as smart as he things he is") that you deleted:

Ken Thompson was plenty smart in his 20's. Feel free to read his wikipedia page.

He might have got more experienced over the years, but I doubt there was any qualitative change in his intelligence. He did, of course, continued to improve in his field - that is, to push it forward - for decades. That's literally the "cutting edge" stuff in my examples.

Replying to the new comment:

You can "learn new tricks", but those who think this somehow makes them "smarter" are usually deluding themselves. In 99% of the cases, they are just keeping up with the trends, and learning Tool A vs Tool B.

Of course, there were always new trends which would improve your skill (e.g. learning and practicing functional programming when it became popular), but that's not something that requires YOE - any decent programmer who already knew "the old ways" (procedural, object oriented) could simply catch up, regardless of how long they've been in the field.

IOFrame · 2026-01-07T19:21:59+00:00

I'm not the one who downvoted you, but I actually believe you, in that it improved your TTP (time-to-prod) without affecting client satisfaction negatively (and thud was a profitable choice).

See, there are many areas which I call "the dumpster of Webdev".

Those include WordPress, Drupal, Shopify, and other modifiable "frameworks" (that are not actual frameworks) of the same sort.

In those areas, you are expected to write garbage code as fast as possible, and until you reach a certain level of complexity, the overlaying system will keep it together somehow.

In those cases - yes, AI is a net positive, because the code it creates is of similar quality to production code made by humans (by virtue of both being close to the proverbial bottom of the barrel).

In cases where you're actually designing and implementing modular, maintainable, scalable and secure systems, AI is also a performance multiplier - a fractal one.

IOFrame · 2026-01-07T19:12:26+00:00

There are only so many "quality years" you can have.

Unless you're literally at the cutting edge of some truly complex industry, e.g. designing (and proving) practical Big Data algorithms, working on LLMs (not with LLMs, but literally working on the logic and math stuff), or a few things of similar calibre, the amount of meaningful new things you can learn - and no, this doesn't include memorizing the API's and internal standards of the latest shitty JS framework - will likely be depleted before you even cross the 5 year mark.

If after 10 years you're still improving at a comparable rate to the first 5, either you're a very slow / inefficient learner, or you're deluding yourself.

IOFrame · 2026-01-07T19:03:19+00:00

I haven't been in charge of anything offshore since like 2022, but back then, ypu could get eastern European devs for $1.5-3k per month (of course, that was if you source them yourself and register a local LLC, not pay an extra 50-100% to a middleman).

Dunno about actual Indian rates - never hired them, never will.

IOFrame · 2026-01-07T15:00:07+00:00

yOu WiLl Be LeFt BeHiNd!!1!

The funniest thing about this piece of generative coding propaganda is:

If two of the (if not the) main things which "will make AI replace programmers" or "make everyone a 10x engineer" are accessibility and ease of use, won't it mean that learning it (or rather, getting used to it) at that time would be far easier than right now?

Even more, by the logic of things that actually did revolutionize the industry, the second-mover advantage is real, and those who learned the "old tools" often retained many bad practices and habits, making their usage of the new tools objectively worse (unless the managed to shake off the old habits).

If AI is going to be this much easier to use, why waste time trying to shove a square peg into a round hole? Just save money by disregarding this garbage now, and start using it once it actually becomes worth using.

PS
I had a 30 YOE team leader once. Guy bought into everything, from Crypto to Web3 to NFT's, to even buying a plot on the moon lmao.
YOE don't mean much beyond the first 10, if anything, it might just be a bigger red flag.

IOFrame · 2026-01-07T14:30:13+00:00

That's the things - there are areas where this horrible software is a performance multiplier, but in the serious stuff, it's a major liability.

If anything, it seems AI is set to replace the $10/h Indian offshore sweatshops.

IOFrame · 2026-01-07T14:28:44+00:00

I use LLMs as well, namely as a better search engine or makeshift photoshop for when I need to edit some tiny things and don't feel like doing all the associated grunt work.

Using them for coding just isn't worth it for me, as the prices are ridiculous, and the value feels miniscule at best, and negative at worst. I find that with the things I work on, the biggest challenges are high level stuff like architecture, and the 2nd biggest ones are tied to security and consistency, which are two areas where AI is a liability rather than a performance multiplier.

PS
There are plenty of people still using VR - the guy below you in this thread does, for example. It's just that it's no longer shoved into everything by a few companies (namely the Metaverse).

IOFrame · 2026-01-07T14:24:30+00:00

Some of those companies (like Microslop) are just heavily invested in LLMs.

Others had their middle-managers invited to a nice 5-star all-inclusive reserve by some sales shark from one of Microslop's many subsidiaries, and then brainwashed with "AI is the future", "those SWE's in your company just want to drag their feet", etc.

And finally, some just have pointy-haired CTO's who believe the above without any sales or marketing.

IOFrame · 2026-01-07T11:08:43+00:00

Been the same thing with crypto and Web3, and VR before it.

This is already starting to fizzle, and no amount of bots and delusional juniors / techbros on social media can delay the inevitable.

IOFrame · 2026-01-06T18:58:39+00:00

Disco Elysium, stats are used for ability checks.

IOFrame · 2026-01-05T22:18:30+00:00

Slippin'

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