#Bitcoin competes with central banks and base money #LiquidNetwork competes with SWIFT #LightningNetwork competes with Visa x.com/btc/status/10529730038…

D is a genius. She reverse engineered (hacked) Mario Kart, read the game’s memory in real time, and connected gameplay directly to Lightning payments. As you race, sats stream to your wallet. The leaderboard updates live. Payments happen automatically. Every lap, overtake and position change can be reflected through Lightning in real time. What makes this so clever is that it transforms Bitcoin from something people are told about into something they experience. For many people, especially in places where scams have damaged trust, learning about Bitcoin through a game is far more powerful than listening to a presentation or reading a guide. Projects like this also help stress test wallets, uncover bugs, improve UX and show developers what’s possible when money becomes native to the internet. The most important thing… it’s fun… and fun is one of the most underrated drivers of adoption. This will inspire a new generation of builders to create games, educational tools and entirely new experiences powered by Lightning. ⚡️⚡️⚡️

"You are sheltering a Mythos-level model in your server room, are you not?"

Introducing the Fusion API, the smartest compound model in the market. Fusion achieves Fable-level intelligence at half the price. How it works 👇

The takeaway from Fable 5 being BANNED by the government: GET GOOD AT LOCAL MODELS SO YOU HAVE 100% CONTROL. My entire weekend was going to be building my craziest ideas with Fable 5. That's now cancelled. So instead of building with Fable this weekend, I've decided I'll go deep on local models: 1. Start with the runtime. Download Ollama or LM Studio first. This is the thing that actually runs models on your machine. 2. Match the model to your hardware. A model's size is measured in billions of parameters (7B, 32B, 70B). Bigger is smarter but needs more memory. Rule of thumb: a 7B model runs on almost any laptop, a 32B needs a good Mac with 32GB RAM, a 70B needs serious hardware like a DGX Spark or a maxed-out Mac Studio. 3. Know which model for which job. Qwen 3 is the best all-around choice for most tasks. DeepSeek for reasoning and coding. Gemma 4 when you need something tiny that runs on a phone. Llama when you want the biggest community and the most fine-tunes. 4. Quantization. You can shrink a model to run on weaker hardware with barely any quality loss. Look for versions labeled Q4 or Q5. This is how a model that "needs" a server runs on your laptop. Learning this one concept changes everything. 5. Connect it to your agent. Point Hermes or your agent stack at a local model. 6. Context window is your real constraint locally. Cloud models give you huge context for free. Local models make you pay for it in memory. A bigger context window eats RAM fast. Keep your sessions tight and your prompts lean or your machine chokes. 7. Learn to give local models tools. A smaller local model with web search, file access, and code execution beats a giant model with none. The capability gap closes fast when you wire up the right tools. The model is the engine but the tools are the wheels. 8. Fine-tuning is more accessible than you think. You don't need this on day one, but know it exists. You can take an open model and train it on your own data so it gets good at your specific domain. I'll probably do a breakdown at some point on this @startupideaspod if people are into it. The lesson from this ban is basically don't build your entire workflow on something that can disappear with a single letter. Own part of your stack. Local models are insurance. It reminds me when people realized they don't own social media accounts. And then you saw people build email lists etc. I remember running a startup and my biggest traffic source was organic FB. All of a sudden, algo changed, and I lost 99% of my traffic. Same sorta moment (but bigger) for AI. This is a wake up call.

If the socialists had their way, Elon would have had his paypal profits taken and redistributed for the greater good. The world would never have seen Tesla, nor SpaceX. And the world wouldn't know it, because they were uncreated, and thus unseen. Imagine the companies that don't exist, because Washington destroyed them before they were born.

Unfortunately we're way passed "odd" and into the attack bitcoin phase of BDS (bitcoin derangement syndrome), next phase is full on hard fork.

Ai is nerd sniping everyone because it's both super early with lots of tinkering and ultra productive. Absolute crack for tech ppl. Also devoided or politics. Bitcoin is fully political and economical, kryptonite for tech ppl.

There's less than 1% of miners signaling, that means it won't activate, read your own BIP to understand the threshold. Looking forward to block 961, 632 and you forking yourself off the network.

Maybe you need an open-weight model after all 🫠

The new crypto wars: ai-2027.com/

Within a year the US government will be threatening and shutting down websites that distribute sufficiently capable open source LLMs. Ultimately an exercise in futility.

BIP-110: The Three Possible Outcomes At Block Height 961,632 (Mandatory Signaling) & My Plan For Each

3 days later, the US government puts export controls on Anthropic's Fable. Happened faster than I thought.

The convergence of export controls on GPUs driven by Chinese strategic competition & regulatory controls on AI driven by “take-off” concerns is the same: Securitization of computing supply chain & infrastructure via chokepoint control & surveillance regime. KYC for GPUs & CSPs.

The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees. The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance. Access to all other Claude models is not affected. We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible. Read our full statement: anthropic.com/news/fable-myt…

If you thought KYC for payments was bad, wait until you see KYC for frontier model access…

this is gonna send shockwaves through every lab and neolab… U.S. export control laws operate under a strict liability standard… they are a very sharp blade…

Welcome to the AI wars. We are now staring down the barrel of KYC and Anti-Compute Laundering laws for frontier models. And this is just for Mythos. What happens when we get further capability jumps? Will the public have access to frontier intelligence ever again? We fought this battle in the 90s for free and open access to cryptography, but it was not easy. The fight this time around will be much harder and the stakes will be much higher.

It’s been interesting to see that everyone I trusted and fought alongside during the 2017 UASF is on the anti-110 side.