Row 3766

Row ID: 3766 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 3766 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

I have great hopes for Bittensor and am about to commit to a sizeable position to which I will probably be adding over the coming months and even years.

That being said, AI is an extremely complicated topic and I want to make sure I understand exactly what Bittensor is setting out to do and how they can get there.

My understanding is that BT is the basically the answer to OpenAI: whereas OpenAI consists of a small cabal of characters, e.g., Sam Altman, Microsoft, etc., who for all intents and purposes control the whole things in a top-down manner, BT is a decentralized, democratic structure where all token-holders have a say. In other words, it's stakeholder capitalism if stakeholder capitalism wasn't just a hollow buzzword.

Very much like OpenAI has GPT-4 and Sora, my understanding is that each subnet on Bittensor tries to get better at one specific task, e.g., text-to-image, machine translation, etc.

​

>"Just today, subnet 9 incentivized into production a model that was 40% better than OpenAI's equivalently-sized billion-parameter model, and that's on WikiText. We don't know who created this model. We paid the best price we could for the lowest loss. Potentially, if you went out there and tried to hire engineers to lower the loss on a ML model you might pick wrong, you might take that that $7T and hire the engineers, and they might not be the ones you need for the job."

Here Jacob Steeves is talking about the incentive model, but I want to make sure I understand exactly what's going on.

So, basically, the community has setup these subnets, which in the case of subnet 9 I believe exists for the purpose of validating and improving upon language modeling datasets, and they reward the most performant AIs by dishing out rewards only once an improvement to the model has been achieved.

Is this understanding correct? If so, can Bittensor compete with OpenAI? Jacob mentioned how the community incentivized into production a model that was better than OpenAI's, but he sort of qualifies and caveats this statement by saying that, well, it's 40% better than OpenAI's, but OpenAI's ***equivalently-sized billion-parameter model***, which I took it to mean that OpenAI still has the upper hand when it comes to larger-sized models.

Second, how do I go about reviewing the kind of models Bittensor has incentivized into existence? So, for example, I can ask ChatGPT to translate something for me, or I can generate my own custom LoRA on Stable Diffusion, so I want to do something similar with Bittensor as a way to really validate the quality of the projects they're bringing into life.

Sorry for the wall of text, but I need to make sure I understand what this project is about and do my own due diligence before committing any significant sum of money to this.

I'm super excited (and kicking myself it took me this long to find out about the project!), but it's such a complex topic I'm not quite sure where to begin.

Thanks in advance.

FieldValue
text I have great hopes for Bittensor and am about to commit to a sizeable position to which I will probably be adding over the coming months and even years. That being said, AI is an extremely complicated topic and I want to make sure I understand exactly what Bittensor is setting out to do and how they can get there. My understanding is that BT is the basically the answer to OpenAI: whereas OpenAI consists of a small cabal of characters, e.g., Sam Altman, Microsoft, etc., who for all intents and …
label r/bittensor_
dataType post
communityName r/bittensor_
datetime 2024-03-23
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url_encoded Z0FBQUFBQm5Lak9FTHJQT3BXTkF4TTFucEkwU0VQMUxhWkpUcEE4N1ZPWnJaV1dYVTZBMkRyaGgwWG5vVjhLY2daX0xMOEM1LW5hUnQzSktENHg3d3kxX3pzTDFkLWQ0SDhxVWZQeTdwTVAwanFJZHpUMUdGWXg4WkRkQWlSTXVBSkNDTld4WHNWSjVJZ19iZWlDeDhGRUdtVFN0dWlaNmJNMzVjRGNhTW1qOVBoOUsteC1uZWU5TFRZX1JObHdVTkFhNGlOSU5Cdmxk

Raw Record

{
  "text": "I have great hopes for Bittensor and am about to commit to a sizeable position to which I will probably be adding over the coming months and even years.\n\nThat being said, AI is an extremely complicated topic and I want to make sure I understand exactly what Bittensor is setting out to do and how they can get there.\n\nMy understanding is that BT is the basically the answer to OpenAI: whereas OpenAI consists of a small cabal of characters, e.g., Sam Altman, Microsoft, etc., who for all intents and purposes control the whole things in a top-down manner, BT is  a decentralized, democratic structure where all token-holders have a say. In other words, it's stakeholder capitalism if stakeholder capitalism wasn't just a hollow buzzword.\n\nVery much like OpenAI has GPT-4 and Sora, my understanding is that each subnet on Bittensor tries to get better at one specific task, e.g., text-to-image, machine translation, etc.\n\n​\n\n>\"Just today, subnet 9 incentivized into production a model that was 40% better than OpenAI's equivalently-sized billion-parameter model, and that's on WikiText. We don't know who created this model. We paid the best price we could for the lowest loss. Potentially, if you went out there and tried to hire engineers to lower the loss on a ML model you might pick wrong, you might take that that $7T and hire the engineers, and they might not be the ones you need for the job.\"\n\nHere Jacob Steeves is talking about the incentive model, but I want to make sure I understand exactly what's going on.\n\nSo, basically, the community has setup these subnets, which in the case of subnet 9 I believe exists for the purpose of validating and improving upon language modeling datasets, and they reward the most performant AIs by dishing out rewards only once an improvement to the model has been achieved.\n\nIs this understanding correct? If so, can Bittensor compete with OpenAI? Jacob mentioned how the community incentivized into production a model that was better than OpenAI's, but he sort of qualifies and caveats this statement by saying that, well, it's 40% better than OpenAI's, but OpenAI's ***equivalently-sized billion-parameter model***, which I took it to mean that OpenAI still has the upper hand when it comes to larger-sized models.\n\nSecond, how do I go about reviewing the kind of models Bittensor has incentivized into existence? So, for example, I can ask ChatGPT to translate something for me, or I can generate my own custom LoRA on Stable Diffusion, so I  want to do something similar with Bittensor as a way to really validate the quality of the projects they're bringing into life.\n\nSorry for the wall of text, but I need to make sure I understand what this project is about and do my own due diligence before committing any significant sum of money to this.\n\nI'm super excited (and kicking myself it took me this long to find out about the project!), but it's such a complex topic I'm not quite sure where to begin.\n\nThanks in advance.",
  "label": "r/bittensor_",
  "dataType": "post",
  "communityName": "r/bittensor_",
  "datetime": "2024-03-23",
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}
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