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Many crypto companies might have no use case, but ipfs and filecoin (built by protocol labs) are not among them. Content-addressed data distribution is an excel

by spir 4y ago

Many crypto companies might have no use case, but ipfs and filecoin (built by protocol labs) are not among them. Content-addressed data distribution is an excellent idea that has proven to be valuable and pragmatic. And a public network to sell storage that's served over the content-addressed network has proven useful and valuable.

colesantiago 4y ago
ChatGPT gained more daily active users than any web3 company ever will, and the year isn't even over yet. This is THE crowning example of why web3 has no usecase even though they have been 'building' and it is 'early days' for almost 15 years. I don't know anyone using filecoin, but I can bet $100K the person next to me knows or has used ChatGPT.
- Drakim 4y ago
  While I don't disagree with your stance on cryptocurrency companies, comparing them with ChatGPT, the latest sensation, is a clear example of survivorship bias. There will always be a super successful company at the top of the market.
  - colesantiago 4y ago
    Bitcoin was allegedly all the rage in 2010s and almost nobody uses it for payments at all and at scale. It failed.
    - medellin 4y ago
      Thanks for letting me know I’ll stop using it now
    - jakear 4y ago
      A solid half the random convenience stores and gas stations I visit have a bitcoin vending machine. Of everything in crypto, it has failed the least.
      - acdha 4y ago
        Have you ever in your life seen someone use them, though? That seems like this generation’s CueCat but I at least used mine to inventory my books and CDs.
- wuiheerfoj 4y ago
  Given that ChatGPT has one of the fastest growing user bases of any piece of tech ever (there’s been an infographic floating round of it compared to iPhone, Spotify, etc), it’s hardly a fair yardstick to measure popularity against
  - colesantiago 4y ago
    It is a fair comparison. Even if we go back to other AI projects: (DALL-E, Stable Diffusion, GPT-3, LensaAI, etc) all of these projects have been used by hundreds of millions of real people, in a short space of time. I have never seen a crypto project with a clear usecase ever go mainstream and we are still waiting for it.
    - Ar-Curunir 4y ago
      100s of millions is a stretch for sure.
- ETH_start 4y ago
  15 years is early days when the technology is completely novel. For reference: the internet started in 1969. It took 30 years for it to see mass adoption. Ethereum is extremely primitive at the moment. You reveal your address, and all of your transactions, to the entire world, when you use it. Scalability of L1 is limited to 30 transactions per second, while L2 is still in beta, with centralized coordinators. With more development, people can conduct transactions while maintaining total privacy, and the public blockchain can, with the use of temporary data layers (EIP-4444 in Ethereum), sharding and Rollups, process 100,000 transactions per second while maintaining the decentralization, tamper-resistance and permissionless-ness characteristic of blockchains.
  - colesantiago 4y ago
    Yet most modern AI tools and any modern technology took a shorter time to reach critical mass. We are not in the 1960's anymore, 15 years for something that was made in 2008 and isn't used for its intended use case is not early days at all. It is a failure.
    - ETH_start 4y ago
      AI has been in development for decades. Practical artificial neural networks have been in development for 40 years.
    - Ar-Curunir 4y ago
      AI, a field that’s almost as old as computer science?
      - LamaOfRuin 4y ago
        cryptography, a field that's so old that evidence of its start is lost to time, but at least 3900 years.
        Ar-Curunir 4y ago
        As a cryptographer, I can confidently tell you that cryptography the science only became a thing in the early 80s. The caesar cipher is irrelevant to modern day crypto.
- jonathankoren 4y ago
  Active users doing what? It’s trendy sure, but sparkling autocomplete has a limited number of use cases, and zero shipped products.
  - jakear 4y ago
    Copilot is a shipped GPT product with paying customers. Who go so far as to never shut up about it. And make me sit and watch them fumble with it for minutes in screen sharing codepair sessions as they construct lengthy prose descriptions of trivial code snippets to coerce it into being "helpful".
  - dgacmu 4y ago
    GitHub copilot has (likely) more than 400k subscribers. $4m/month isn't too bad.
wuiheerfoj 4y ago
IPFS is a great spiritual successor to BitTorrent and I think gets unfairly lumped in with crypto projects. Content-based addressing has already been shoehorned into traditional web architecture (e.g. hashing your dependencies for CDN compatibility), so it’s refreshing to see tech built with it as a first class citizen. Filecoin definitely seems like more of a moonshot, but compared to e.g. NFT marketplaces, it seems like a web3 project with a lot more substance
acdha 4y ago
“Proven” would imply consistent non-trivial usage. IPFS seems to still be in an earlier prototype stage, with its notorious scaling problems still to be solved for any general usage. At the very least, you’d expect to see open source software distribution using it.

by spir 4y ago

colesantiago 4y ago

ChatGPT gained more daily active users than any web3 company ever will, and the year isn't even over yet. This is THE crowning example of why web3 has no usecase even though they have been 'building' and it is 'early days' for almost 15 years. I don't know anyone using filecoin, but I can bet $100K the person next to me knows or has used ChatGPT.

Drakim 4y ago
While I don't disagree with your stance on cryptocurrency companies, comparing them with ChatGPT, the latest sensation, is a clear example of survivorship bias. There will always be a super successful company at the top of the market.
- colesantiago 4y ago
  Bitcoin was allegedly all the rage in 2010s and almost nobody uses it for payments at all and at scale. It failed.
  - medellin 4y ago
    Thanks for letting me know I’ll stop using it now
  - jakear 4y ago
    A solid half the random convenience stores and gas stations I visit have a bitcoin vending machine. Of everything in crypto, it has failed the least.
    - acdha 4y ago
      Have you ever in your life seen someone use them, though? That seems like this generation’s CueCat but I at least used mine to inventory my books and CDs.
wuiheerfoj 4y ago
Given that ChatGPT has one of the fastest growing user bases of any piece of tech ever (there’s been an infographic floating round of it compared to iPhone, Spotify, etc), it’s hardly a fair yardstick to measure popularity against
- colesantiago 4y ago
  It is a fair comparison. Even if we go back to other AI projects: (DALL-E, Stable Diffusion, GPT-3, LensaAI, etc) all of these projects have been used by hundreds of millions of real people, in a short space of time. I have never seen a crypto project with a clear usecase ever go mainstream and we are still waiting for it.
  - Ar-Curunir 4y ago
    100s of millions is a stretch for sure.
ETH_start 4y ago
15 years is early days when the technology is completely novel. For reference: the internet started in 1969. It took 30 years for it to see mass adoption. Ethereum is extremely primitive at the moment. You reveal your address, and all of your transactions, to the entire world, when you use it. Scalability of L1 is limited to 30 transactions per second, while L2 is still in beta, with centralized coordinators. With more development, people can conduct transactions while maintaining total privacy, and the public blockchain can, with the use of temporary data layers (EIP-4444 in Ethereum), sharding and Rollups, process 100,000 transactions per second while maintaining the decentralization, tamper-resistance and permissionless-ness characteristic of blockchains.
- colesantiago 4y ago
  Yet most modern AI tools and any modern technology took a shorter time to reach critical mass. We are not in the 1960's anymore, 15 years for something that was made in 2008 and isn't used for its intended use case is not early days at all. It is a failure.
  - ETH_start 4y ago
    AI has been in development for decades. Practical artificial neural networks have been in development for 40 years.
  - Ar-Curunir 4y ago
    AI, a field that’s almost as old as computer science?
    - LamaOfRuin 4y ago
      cryptography, a field that's so old that evidence of its start is lost to time, but at least 3900 years.
      - Ar-Curunir 4y ago
        As a cryptographer, I can confidently tell you that cryptography the science only became a thing in the early 80s. The caesar cipher is irrelevant to modern day crypto.
jonathankoren 4y ago
Active users doing what? It’s trendy sure, but sparkling autocomplete has a limited number of use cases, and zero shipped products.
- jakear 4y ago
  Copilot is a shipped GPT product with paying customers. Who go so far as to never shut up about it. And make me sit and watch them fumble with it for minutes in screen sharing codepair sessions as they construct lengthy prose descriptions of trivial code snippets to coerce it into being "helpful".
- dgacmu 4y ago
  GitHub copilot has (likely) more than 400k subscribers. $4m/month isn't too bad.

wuiheerfoj 4y ago

IPFS is a great spiritual successor to BitTorrent and I think gets unfairly lumped in with crypto projects. Content-based addressing has already been shoehorned into traditional web architecture (e.g. hashing your dependencies for CDN compatibility), so it’s refreshing to see tech built with it as a first class citizen. Filecoin definitely seems like more of a moonshot, but compared to e.g. NFT marketplaces, it seems like a web3 project with a lot more substance

acdha 4y ago

“Proven” would imply consistent non-trivial usage. IPFS seems to still be in an earlier prototype stage, with its notorious scaling problems still to be solved for any general usage. At the very least, you’d expect to see open source software distribution using it.