Great to see more people helping Roman Storm! Join all the coins. View quoted note →

How to melt metals in your microwave:

For the radio phreaks out there. Flood the FM broadcast band with your choice of music:

The Taylorator - All Your Frequencies Are Belong to Us

Stay curious.

@Bitcoin Mechanic question about FPPS. Suppose you wanted to drain that pool and punish it for using the FPPS model. Is it possible for a group within the pool to mine their templates but withhold submitting a solved block so that they keep getting paid the subsidy but the pool loses revenue? If enough of their hashrate does this then the pool goes bust unless they can manage securing funds some other way. Or perhaps that’s already happening and hence why FPPS pays out up to 30% less than expected (according to your findings at Ocean)? Sorry for the newb question.

Something seemingly overlooked in all the Deepseek talk is that Google released a successor to the transformer architecture recently [1]. For anyone who doesn’t know, virtually all of the frontier AI models are based on a transformer architecture that uses something called an attention mechanism. This attention helps the model accurately pick out relevant tokens in the input sequence when predicting the output sequence. The attention mechanism updates an internal “hidden” memory (a set of 3 learned vectors called query, key, and values respectively) when trained but once training is complete the model remains static. This means that unless you bolt on some type of external memory in your workflow (e.g. store the inputs and outputs in a vector database and have your LLM query it in a RAG setup) your model is limited by what it has already been trained on. What this new architecture proposes is to add a long term memory module that can be updated and queried at inference time. You add another neural network into the model that’s specifically trained to update and query the long term memory store and train that as part of regular training. Where this seems to be heading is that the leading AI labs can release open weight models that are good at learning but to really benefit from them you’ll need a lot of inference time data and compute which very few people have. It’s another centralizing force in AI. 1.

arXiv.org

Titans: Learning to Memorize at Test Time

Over more than a decade there has been an extensive research effort on how to effectively utilize recurrent models and attention. While recurrent m...

If you squint, the global race for AI dominance looks a lot like competition to produce the next block. Many independent groups with advanced chips and enormous energy budgets are all racing to produce the next latest output to build an economy on top of. Data centers around the world are producing models that are the input to much of what happens in companies all over. In many cases we have the same data centers supplying both the AI and bitcoin mining markets. This is clearly an arms race and unlike with bitcoin interests are not aligned. In my limited spare time I've been thinking (I'm just an npub with some relevant experience but nothing close to an expert...) about how to join these two industries. It's possible. Likely even. It might be inevitable, but still we need more capable people working on this today. Does anyone know of projects working in this area? Ideally as a protocol. We have starting points like OpenDiLoCo [1]. #asknostr 1.

OpenDiLoCo: An Open-Source Framework for Globally Distributed Low-Communication Training

Introducing OpenDiLoCo, an open-source implementation and scaling of DeepMind’s Distributed Low-Communication (DiLoCo) method, enabling globally ...

Satoshi left his stack as a bounty for eventual quantum computers to capture. I believe this was intentional and probably the fairest way to distribute those initial coins.

LLMs are a form of proof of work.

Machu Picchu: an ancient citadel. Pikachu: a legendary creature capable of channeling energy to defend itself. Bitcoin: all of the above

Block space is only valuable because sats are valuable. If pools don’t play nicely with block template construction they’ll force a fork around them that can continue indefinitely. If banks become miners and sell block space via some futures market not tied closely with the protocol and the public mempools become unreliable the miners will be fired by consensus. That’s why I’m excited for the work @vnprc is doing with #ehash

Delving Bitcoin

Ecash TIDES using Cashu and Stratum v2

Hey! I’ve been working on this idea for some time in isolation. I’m in the process of building it. Apologies for not engaging in this discussio...

Seeing lots of talk about DeepSeek so I want to add my 2 sats. It’s an impressive model and likely to be part of a longer series of even more impressive releases from that group. I’m happy to see it open sourced. That being said, training an LLM via reinforcement learning can lead to dangerous results if the reward mechanism isn’t crafted carefully. Part of the reason the big players are relatively slow to make big leaps is because they’re focused on alignment [1]. As an analogy: yes you can get to your destination faster if you drive 4x the speed limit, but we put speed limits in place to limit the number and severity of accidents. (I’m a hypocrite here because I’m a speed demon) 1.

AI alignment - Wikipedia

👀 View quoted note →

Bitcoin jobs! View quoted note →

More progress in privacy tech. View quoted note →

Scenario: US shifts policies towards bitcoin and encourages adoption. It waits long enough for most of the market to pile in and drive up prices organically. Once everyone is onboarded the federal reserve and treasury department unleash the money printer and pumps the bags of the US economy. In the process it prints enough to reduce debt to GDP to more sustainable levels. Sounds good? I don’t think so. If other countries don’t adopt a similar playbook in time then it becomes the single biggest transfer of wealth in history away from the rest of the world. It feels like this is the path we’re on. In the process it pumps the bags of dictators who control the Bitcoin infrastructure and holdings for their country further strengthening their relative position of power domestically. Maybe that imbalance will destabilize those regimes? Maybe it funds all of their tyrannical operations? It’s hard to see a better alternative either. Governments are all in debt beyond what they can repay and this seems like their only option aside from default or war.

It sounds obvious, but beware of protocols that can disallow transfer of value. HTTP for example is neutral. The Visa protocol isn’t. The traditional social media protocols aren’t.