118 sats \ 3 replies \ @cascdr 13 May \ parent \ on: Thinking through Cashu bitcoin
I'd argue eCash beats the Bitcoin Bank/CEX in some ways.
If some anon eCash person rugs you, wtf you gonna do?
At least there is the Proof of Violence algorithm the legal system can impose on Bitcoin Banks if they piss enough people off. I don't know if we've seen a big eCash rug yet but if we did I bet you the person doing it would have the sense to stay anon.
I see no reason why the LinkedIn's of the world should be able to monetize someone else's reputation in perpetuity.
Love the project.
Do you foresee most projects addressing the civil side? I imagine the criminal side would be rather difficult to implement without literal militias but maybe that's an ignorant take.
What project(s) excite you in this space?
Full attention is absolutely required. I recommend 2x speed and 1.5 to 2 times.
It also helps if you understand control systems and/or matrix algebra. I have been blessed with a BS curriculum in just that. If you go to the link I send above there's a lot of foundational stuff that the youtube channel covers that makes understanding much easier.
I also made a tool that summarizes youtube content and is paid in bitcoin that you may find useful. This is the output for this particular video:
TLDR: The video discusses the workings of transformers, specifically the Generative Pretrained Transformer (GPT), which uses a neural network model to generate text based on input data.
- GPT stands for Generative Pretrained Transformer, a neural network model.
- Transformers process data through tokens associated with vectors.
- The model predicts the next word based on the input text.
- The video explains the process of generating text using transformers.
- GPT-3, a variant of the transformer model, is used for tasks like language translation and text generation.
In the video, the speaker delves into the intricate workings of transformers, particularly focusing on how GPT models generate text. By breaking down the process of tokenizing input data, associating them with vectors, and predicting the next word, viewers gain insight into the fascinating world of neural network models like GPT. The video serves as a comprehensive guide for understanding the mechanisms behind text generation using transformers, shedding light on the complexity and capabilities of these AI models.
This github repo references this channel and many other great resources for those interested in AI: https://github.com/mlabonne/llm-course
TLDR: The speaker delves into various harebrained blockchain schemes, emphasizing the lessons learned from Bitcoin and exploring concepts like the relationship between money and energy, the potential of blockchain in space, and the challenges of interstellar value transfer.
- Bitcoin is seen as sound money and a potential basis for the global economy.
- Lessons learned from Bitcoin include the idea that money is a social construct and that blockchains can move atoms in the physical world.
- The speaker discusses the potential growth of Bitcoin in terms of value and energy consumption.
- The concept of a distributed rekeying system is explored as a solution to key management issues.
- The challenges of value transfer in space due to the finite speed of light and the relativity of simultaneity are discussed.
In a thought-provoking and engaging talk, the speaker delves into the implications of Bitcoin as sound money and its potential impact on the global economy. They explore the idea that money is a social construct and how blockchains can have real-world effects by moving atoms. Additionally, the speaker delves into the challenges and potential solutions for value transfer in space, highlighting the complexities of interstellar transactions. Overall, the talk offers a unique perspective on blockchain technology and its implications for various aspects of society, from finance to space exploration.
It's even more interesting when you zoom out and think of this not as a skillset (e.g., programming and the like) but as a mental configuration.
My dad puts it this way: "You need two of every animal or else it's a boring zoo."
In other words it is wise to understand, celebrate and optimize our differences for the higher good.
"passing a generic test I studied for so I can get treated like a king," but it takes more than passing tests to be a king
This is one of the least understood and pernicious aspects of public schooling. People have been conditioned to think that passing a test = competency. Competence is a verb not an adjective or a trophy you get to keep forever. You have to continually evolve and expend effort to maintain it.
Personally the two biggest factors I look for are work ethic and initiative. The former for obvious reasons and the latter because I cannot possibly predict what challenges we will face in the future. I need teammates that can solve open ended problems and even challenge my solutions if they're inadequate.
This was a lesson I learned from my dad who has 40 years of experience hiring engineers. He says whenever he's in an interview he probes to find out if they've ever made any projects themselves. It could be a home aquarium. The specifics are trivial. The intangible benefits that accrue from high agency teammates that solve open ended problems are hard to overstate.
Your hiring process is more aligned with how we should work and interact with each other. I am keen to see how that process evolves.
I like the idea of doing real trial work a lot. This goes doubly for an open source project.
I have been hired this way (open source bounties) and I felt like it was the most fair way to answer the question: can I make real contributions to this project? For me it got me exposure to their tech stack & team. For the hirer it got them to see what it's actually like to work with me, how I solve problems and interact with would be teammates.
Five trial participants seems like a lot to manage. There are pros and cons. You're slightly vindicated by the fact that A dropped out. But maybe C & E took the "sure thing" with other job offers rather than a 1 in 5 chance. You no doubt know better than me their rationale.
Not only does hiring seem hard but it sucks too. I hope you figure it out and I can learn from your trials.
I think the biggest barrier to this outcome of BE soaking up significant market share here would be trust.
If you could demonstrate good track record of fair outcomes at a lower cost it's game over. I think as the older generations die off and their millenial and Gen Z kin are the ones that have to do the real estate deals, trust becomes more likely.
Rooting for you guys.
My parents almost got stiffed on a huge real estate sale. I wonder how the incentives/behavior would have changed if they had to put up hard money as collateral they could only get back upon review of a private (cheaper) third party arbitrator instead of our joke of a civil court system.