kromem

No. The two MCs are who a single player can swap between. It's a single player gameplay mechanic. There is no co-op or multiplayer in the current release and the two protagonist stories will always be single player.

GTA 5 had three protagonists you could swap between for the single player, so this is refining that dynamic.

They'll likely release an online product sometime next year.

It's only a single player game. (Currently)

You all laugh, but think for a moment about the poor cattle rancher currently sitting on the toilet with his lettuce diarrhea, worried about the pending foreclosure of all he has and when the ivermectin is finally going to kick in for little Billy Jr's case of measles.

But then upon his porcelain throne he sees his dear leader with the courage and genius to redraw the name of the lake he didn't remember existed from its communist foreign name to a name he knows and can remember, because it's the name of where he lives and also two of his daughters.

And finally, for the first time since Obama's shadow government made him wear a mask in 2020 for the hoax pandemic that doctors claimed killed his elderly parents but everyone knew was just a flu and also engineered by Fauci for maximum damage — he knows.

He knows it's going to be okay.

That when Billy Jr beats this made-up measles thing and little America One and America Too and the whole family loses the ranch, that they can go to the Lake that is now their heritage by the only name they need to learn it.

And then he'll float, staring up into the heavens, finally at peace secure in the knowledge that at long last the greatest President since Jesus is cradling his heart and interests in his diminutive bruised hands, exhausted from all the renaming of water.

P.S. literally the comment you were initially responding to sources it.

You: "How much will this speed up our doom?"

Your waifu: "Calculating… oh, it's actually less than 1%."

tears in your eyes the Old Yeller soundtrack starts playing

Cornell researchers found that at the current rate of AI growth, the burgeoning industry could represent 24 to 44 million metric tons of carbon dioxide emissions by 2030

The United States emitted 4.9 billion tonnes of CO₂ in 2024.

So by 2030 the AI industry CO2 release might be 0.9% of total US emissions.

That 'almost' in "Almost Incomprehensible" is doing a lot of work there.

It won't, unless you normally talk almost exactly like the model in question and then alter your word choice distribution according to the specific secret key entropy.

It's not about the variation of the words, it's about the variation of the words from the model baseline.

Like if your word choice was almost the exact same as Claude's normally, maybe you just talked to them a lot and picked up their phrases like it's not nothing.

But if you managed to be almost exactly like Claude and yet varied the possible words exactly according to a hidden entropy key, they'd know it was actually Claude with the SymthID-Text watermarking applied, as no human would end up falling into that statistical bucket.

This particular watermarking would be effectively impossible for a person to end up replicating.

The post in question explicitly self identified as AI and is very saturated in the typical tells (it's almost certainly Claude or Deepseek Flash).

No escape, just a throwaway experiment by whoever was running it to tell them to make money.

Will probably see a lot more of this over the next 6-12mo.

Probably less so.

The hardware to run it locally would be fairly expensive and would require using a very simple model compared to alternatives. Also much more wasteful if you were only using that hardware for AI use, as you'd be distributing the hardware out rather than centralizing so it'd be often idle and when replaced create more waste than a centralized server rack.

Also, additional per user post-training seems to me both wasteful and not necessary. In context learning is often much more powerful but frequently overlooked.

If you're concerned about data retention, you'd want to select an inference provider that is listing 'ZDR' (zero data retention) as a feature.

For example, a lot of the Chinese open weight models have become quite capable and because their weights are available end up like generic vs brand name medicine where there's multiple providers serving them with different production conditions.

Because enterprise use will often be worried about data retention or sending data to China, the alternative providers usually offer things like US-only inference or zero data retention.

If you're not going to use it all that often, a la carte API use is going to be way cheaper than a subscription, probably better results than a free plan with a closed model provider, and give you more control over the process.