@apex_ether They expect devs to live off of and fund their project from 25% of lp fees.
No bankr token will survive if thats the case.
Rip the bandaid off and admit its just another memecoin platform if thats how people feel
@mac_eth Youโre finding out much of the โtrenchesโ are made up of brain rotted kids.
Donโt take any of this stuff personally.
If anything try to link up with devs that have experience and can offer some guidance in how to maneuver through all of this and possibly introduce you to funds.
This is basically where @dphnAI $POD is going.
They're already training uncensored open models.
Next step is the consumer GPU network API to serve them across places like OpenRouter & @AskVenice at a lower cost.
Not just inference distribution...lab & supply side too
I think this is partially why @OpenRouter just raised $113M+ by @CapitalG
If you are an inference provider you can raise a ton of money now off revenues and amass capital to buy GPUs. You can use these GPUs to offset chinese models going closed source by using them for model training/fine tunes in the future
Inference provider revenues are driven by deploying open source models in an easy and safely accessible way. You can pay 1/100 to 1/1,000 the cost to access GLM/Qwen etc vs centralized APIs and not send your data directly to chinese APIs. Yay I get cheap intelligence and China doesn't see my full conversation history on giving my friend breakup advice.
You leverage that revenue growth (API spend) to buy a capital asset (GPUs) for the future If @alexatallah buys GPUs with this $113M it solves two things. The first is he can lower inference costs even more through owning the hardware (and get a nice multiple on it and take loans against them, and repeat) and second he could use those models for training runs or fine tunes in the future if China goes fully closed source
The other issue is inference providers don't get the same data flywheel an OpenAI or Claude gets (since someone else is running the model and theres no data retention to train future versions). This could negatively impact training runs maybe. I think this is another reason china models go closed source, they want all inference to use that data for training runs and right now they are ceding the revenue and data flow.
Also, despite Meta being open source but not competitive anymore I think we will see some very strong open source AI labs in the U.S. start to pop up as an offset and existing models are good enough for inference providers for the forseeable future. China going closed would accelerate U.S. open source labs too.
At least these are my early contrarian musings. Thanks for tuning in!
I have no idea on OpenRouters plans. I have no ownership but love the product and think its extremely net positive for humanity.
https://t.co/tpD7AlBsM3
It's been a while since global sentiment towards crypto has been that bad.
I said this many times, we're not in 2021/22 end of cycle because this time no SBF/Celsius/Luna. We're in 2018, a slowand lingering despair of "we're not cool anymore" mostly solely due to price not going up.
Back then, when the tourists left, the builders delivered MakerDAO, Compound, SNX, EthLend (Aave) and more with mostly apathetic reception.
It's an exciting time to focus and deliver even if the market will be ungrateful for a while.
The new money you speak of is part of the Independent Professional Class that has emerged.
The old status you speak of still exist (especially in the North East of the U.S.)...They are on the left side.
The internet made it so they have more competition.
Everything You need to know about status, class and money
https://t.co/AENufOdiRl
If someone is trying to sell you on a vibe coded crypto trading dashboard it means they arent making money from it.
If they arent making money from it why would you want it?
@rbthreek A good Bankr token that returns value to holders is better than $bankr itself.
Until some of that 50% fee is pointed to the token there is little incentive to buy it