During the previous cycle, we’ve established a ton of new tools and projects that completely changed how we interacted with #Bitcoin. I think many dont properly appreciate the fact that Lightning is becoming (or possibly already has become) the primary mode of interaction. And even despite fees, onboarding onto Lightning is seamless due to a growing ecosystem of LSPs. 2 years ago that honestly seemed like an overly optimistic goal. In addition • we are finally on the cusp of workable DLCs, we will likely very soon have bitcoin native “stable sats” via this tool • multisig is becoming an industry standard for BTC native financial services • Fedimint/ecash is starting its rise - which will completely change the custodial landscape • we have two insanely exciting new communication protocols making their MVP debut - Nostr + Hypercore • There is an explosion of new entrants in the Lightning ecosystem • We have numerous new mining & mining pool projects around redecentralizing hash power coming to fruition - Including a FOSS package to “run your own pool.” • Everyone is bitching about fees being too high instead of Bitcoin’s “security budget problem.” • We have multiple, entirely novel approaches for new scaling layers - including an incredibly creative new means to use ANY arbitrary code to enforce ownership of a bitcoin UTXO. • Traditional finance cannot ignore us any longer. For better or worse, they are allocating. • A country adopted bitcoin as legal tender and started building national payments infrastructure with the bitcoin/lightning stack. • We have multiple other increasingly bitcoin friendly regimes and political leaders popping up across the global south. • Streaming sats, zaps, lightning prisms, running lightning services for friends and family, user friendly personal nodes, zero setup non/custodial Lightning - these were all “what ifs” at the end of the last cycle. Today they are all here. • Tons of new developer interest has flooded into the Lightning ecosystem, and we now have the tooling and dev kits to do an order of magnitude more applications with barely any knowledge or configuration from the app creators needed for it to work securely and easily. This is hugely underappreciated, imo. There’s a ton of stuff that I know I’m even missing here that deserves a mention, but the ecosystem has matured incredibly these past few years. Most of the biggest leaps have been in infrastructure, which is exactly what is laying the groundwork for a 10x at the application layer that I think comes with this next cycle. ___________ The REAL kicker though, is that we did this under largely the same development conditions as the past 10 years, but today, Ai is about the drastically change that landscape. Over the next 3 years, the accessibility of development and the capital required to complete a project will DRASTICALLY decline. Already we have LLMs specialized in code that are enabling “so so programmers” to build small & simple functions/apps with very little effort. We have “screenshot to code” which lets you take a picture (or photoshop) a website and it will immediately create the HTML or React code needed to make the website exactly as seen, and this is **just the beginning.** LLMs have been in the public eye for ONLY one year. The amount of building that will be unleashed in the next 3 is going to be hard to fathom. I want people to understand, if you are technically literate at all, you NOW have the capacity to create a lighting app, a game, a desktop tool, a Nostr app, a Hypercore based software, a website or PWA, **even if you don’t know how to code.** the dev kits, libraries, and Ai combined have done all the heavy lifting for you. The game is changed, start playing. The acceleration is about to get fucking crazy, and a ton of stuff is aligning at the same time. We have no idea how far these next few years are going to take us. Buckle The Fuck Up

Replies (34)

ChatGPT is the most easily accessible if you want to just start playing, but know that a major goal is to get away from centralized, closed platforms with tech like this. A centralized future of Ai has increasingly terrible risks. I just did an episode recently on the best self-hosting tools I’ve been using👇🏻 The apps: • GPT4ALL • LMStudio • Ollama • Prem Ai
Lightning was never an end solution, it’s a stepping stone. I’ve been explaining how I think lightning is going to play a critical role as the connective tissue for liquidity between a huge variety of L3 pools, protocols, smart contracts, federated networks, etc. All of the tools this era that were designed for plebs and user payments, will end up being infrastructure for services, businesses, community pools, and decentralized markets going forward. It’s the same shift that happened with #Bitcoin in the previous cycle. Lightning isn’t going anywhere, it’s going to be absolutely massive but we will have to change how we think about it.
ricky's avatar
ricky 2 years ago
Where can one find this AI program that lets you screenshot to create code?
Very true, there are a handful of privacy tools and developments that I totally forgot to include here, plus a number of other random things I’ve been thinking about since I posted. I didn’t even mention that Taproot got activated and Musig2 is on the final lap.
I've found LLM's often have outdated info and or are not trained on a lot of the latest tech info needed to build in this space, for example gpt is not trained on nostr. So a strong understanding of js is still required.
$elfish gene's avatar
$elfish gene 2 years ago
выгоднее блоки по 1 секунде в первом слое. проще
Meanwhile the lizard-wizard idiots keep boycotting Bitcoin because "there IS nO REaL InNovAatIoN" while pumping their scams.
I certainly don’t make such a claim in the short term, but devs who utilize it will have 10x the output, and those who aren’t developers but are familiar enough to understand and troubleshoot code will be 100x as effective, imo. However, if we are looking at a 10-20 year time frame to make that claim, I think it’ll depend on how we define those terms, imo.
As someone who’s interested in building my own ideas, but lack programming skills, I often wonder if I should spend the time learning how to code in the traditional sense or if there’s some hybrid between a baseline knowledge and utilization of here and future AI tools.
I would say the hard thing about programming isn’t writing the code, or solving the problem… it’s the lack of time, manpower, and resources to devote to the endless number of problems. Ai doesn’t make it so people don’t have to think. It means people who *can* think, but can’t code very well, can still build tons of things that were previously out of reach.