GamerHash AI

Join 800,000+ people sharing & earning with their GPU power to form an AI inference-focused global DePIN - powered by GamerCoin $GHX ⚡

[GamerHash AI @GamerHashCom]

"One More Merge" is a sea shanty about the pull request that was supposed to be the last one. Stomping boots and an accordion, with a crew shouting the chorus back at you.

Sailors sang shanties to keep a rhythm going through work nobody wanted to do alone. Nothing has changed except the rope.

People generate thousands of tracks on Boppy every day. Each one is an inference job running on hardware owned by users with the Earn Module in GamerHash AI, and they get paid for the compute.

Write a prompt at https://t.co/qpwNScXbRh and hear your own. It's free.

Powered by @deAPI_

[GamerHash AI @GamerHashCom]

"Last one. I'm out."

Your character stops when you stop. The card doesn't have to. The Earn Module in GamerHash AI puts it on inference jobs from @deAPI_ the moment you log off, paid out in GUSD.

Made with MiniMax H3, which also runs in the app.

[GamerHash AI @GamerHashCom]

MiniMax H3 is now live in GamerHash AI.

Text to video and image to video, with sound generated in the same pass as the picture. One model builds both, so when a character speaks the lip movement lands on the syllable instead of somewhere near it.

Hand it a still photo and it works out how the scene should move. Steam bends off a mug, hair lifts in a breeze that was never in the original frame.

Runs locally on the card already in your PC, and it costs nothing to try.

Your GPU just learned sound design.

[GamerHash AI @GamerHashCom]

@KryptoRaport

[GamerHash AI @GamerHashCom]

"Mine already does."

The Earn Module in GamerHash AI puts idle consumer GPUs on inference jobs coming in from @deAPI_, paid out in GUSD.

The clip came out of one prompt with MiniMax H3. The same model sits in the app, so your card can make one for free.

[GamerHash AI @GamerHashCom]

@CryptolenzHQ @dentcoin @AnyoneFDN @PinLinkAi @octa_space @Hivemapper @GridcoinNetwork @HNS @dimitratech @NATIXNetwork Sixth and climbing.

$GHX 🥂

[GamerHash AI @GamerHashCom]

The largest hardware company on earth reportedly just paid $12.9B for the hub where open models get downloaded.

Three years ago open weights were the hobbyist corner of this industry. Today they're the layer everyone builds on, and plenty of the hardware running them was bought for gaming.

We rebuilt our whole network around that in 2024. Nice of Nvidia to price it for us.

[Shay Boloor @StockSavvyShay]

$NVDA is reportedly in talks to acquire Hugging Face for more than $13B as it looks to own more of the software and distribution layer sitting on top of its AI infrastructure.

The deal would give Nvidia one of the largest hubs for open-source AI models and datasets just as its hardware business reaches another record scale.

[deAPI @deAPI_]

GPT Image 1.5 and GPT Image 2 are now on deAPI. Same endpoint you already call for FLUX or Z-Image, so switching is a one-string edit.

Both are Experimental and need a paid account.

[GamerHash AI @GamerHashCom]

@adelbucetta you still need peak specs for the video models

[GamerHash AI @GamerHashCom]

You bought the card for the one benchmark run where the number was highest. Then you went back to a game from 2019 that uses maybe half of it.

AI inference is one of the few workloads that actually wants the peak you paid for. The Earn Module in GamerHash AI hands your card that kind of work while you're away from the desk, and the payouts land in GUSD. Cash out or spend it in the store.

Idle time is the part you overpaid for.

[GamerHash AI @GamerHashCom]

@razaaitech we'll be banning for ai slop spam comments

[GamerHash AI @GamerHashCom]

"Old Soul, New Code" is jazz hop for anyone still debugging at 2am. Brushed drums and a Rhodes piano that sound like they were cut to tape in 1962, except the take came out of a graphics card in somebody's PC.

People generate thousands of tracks like it on Boppy every day. Every one is an inference job landing on hardware owned by users running the Earn Module in GamerHash AI. They get paid for the compute.

Write a prompt at https://t.co/qpwNScXbRh and hear your own. It's free.

Powered by @deAPI_

[GamerHash AI @GamerHashCom]

@AinaAiTech we'll be banning for ai slop spam comments

[GamerHash AI @GamerHashCom]

@EllaTech0 we'll be banning for ai slop spam comments

[GamerHash AI @GamerHashCom]

@AliceInfoAi we'll be banning for ai slop spam comments

[GamerHash AI @GamerHashCom]

@TheW3Space no thanks

[GamerHash AI @GamerHashCom]

Your prompts are a more honest record of what's in your head than your browser history.

Everything you generate in GamerHash AI runs on your own GPU. The model loads locally, the output stays on your drive, and nothing gets logged on a server you don't control.

The privacy comes from where the model runs.

[GamerHash AI @GamerHashCom]

315 GW by 2033, and every version of this forecast assumes the answer is building more.

There's a source of compute that never shows up on those charts. Consumer GPUs sit idle most of the day, already installed, wired, and cooled. Putting inference there means no new substation and no three-year grid connection queue.

That's the pool GamerHash AI runs on.

[The Kobeissi Letter @KobeissiLetter]

We don't have enough power.

AI chip-driven electricity demand is projected to surge to a record ~315 gigawatts globally by 2033.

That would represent an increase of more than +1,100% since 2025.

The US is expected to account for ~64% of this new AI electricity demand, or ~200 GW.

Meanwhile, AI data centers are also putting huge strain on power infrastructure.

During model training, hundreds of thousands of GPUs can power up and down simultaneously, causing electricity usage to spike as much as 50% above design capacity.

These sharp power swings can accelerate wear on batteries, generators, cooling systems, and other critical infrastructure, increasing maintenance and replacement costs.

We need new energy infrastructure.

[GamerHash AI @GamerHashCom]

This started as a single still image. LTX 2.3 did the rest.

Image-to-video runs locally in GamerHash AI, on your own graphics card. That's why it's unlimited. There's no cloud bill ticking per second of footage.

Download the app and generate until your GPU gets warm. Nobody's charging you for it.

[GamerHash AI @GamerHashCom]

Your GPU hits full load maybe two hours a day. The rest of the time it's the most expensive thing in your house doing nothing.

Datacenter compute is being auctioned above list price right now because buyers can't get slots. Your card is already plugged in and already paid for.

The Earn Module in GamerHash AI picks up AI inference work while you're away from the desk. Payouts land in GUSD, cash out or spend it in the store.

Turn the app on, walk away.