Added several Monero projects to commitwatch.org!

@Rob1Ham Blockstream already responded to the hacking

If you want to win, this is how you play. Don’t hate the player, hate the game. Having Bitcoin in self-custody and defending yourself against replay attacks allows you to drink coffee and watch the fireworks. 🎆

‼️ BREAKING: Nightmare-Eclipse just released another zeroday, this time a proof-of-concept called FalconFlank, which claims a local privilege-escalation flaw in CrowdStrike Falcon — abusing the sensor's own malicious-Office-macro remediation to reach SYSTEM on fully updated Windows 11 25H2 and Server 2025. github.com/MSNightmare/Falco…

Dear centralized exchanges, users want their Blake2b coins in short order. Thanks in advance.

I’m over here proving every day that huge valuations on “AI” companies are pointless.

There is a fundamental difference between persuasion and coercion. Public health officials can persuade the public by making recommendations, explaining risks and benefits, and even encouraging people to make a particular choice. But when persuasion becomes pressure, threats, exclusion, shaming, loss of employment, restrictions on participation in society, or punishment for refusing, that is coercion. And that is what we experienced and that is why public trust is broken. You cannot rebuild public trust by pretending coercion never happened, minimizing its consequences, or telling people to move on. Trust requires acknowledgment. It requires accountability. And where people were harmed, it requires meaningful redress. Until public officials and institutions are willing to confront that reality, public trust will remain broken.

We're definitively in the AI learns from AI slop era.

I always understood why the Second Amendment was constitutionally protected. What I never really understood was why people called it a natural right. Then I moved from New York to Florida. I didn’t own a gun yet. One afternoon I was loading things into the trunk of my car outside a HomeGoods when a man approached me. “Excuse me.” He must have thought he’d startled me, because he immediately added, “Don’t worry. I’m not going to get close.” I laughed. “I’m a New Yorker. I’m used to close. How can I help you?” He started telling me that he needed money for gas. At some point while he was talking, I got into my car. And sitting there, with the conversation still unfolding, I suddenly realized something: He didn’t know whether I had a gun. Not somewhere at home. Not hypothetically. For all he knew, I could have had one right there in the car, tucked under the steering wheel or within reach. I didn’t. But he couldn’t know that. Schrödinger’s gun. And in that instant, before I even knew whether his story was true, something changed in the space between us. I thought about New York. I thought about my friend who had been murdered in his own apartment during a burglary gone wrong. Would those men have gone into his apartment if they had believed he might be armed? I don’t know. I thought about the time I was mugged at gunpoint, with a gun pressed against my temple. Would that man have approached me with the same confidence if he had believed there was even a possibility that I could defend myself? I don’t know that either. But sitting there in that Florida parking lot, listening to this stranger talk, I suddenly understood deterrence in a way I never had before. Not as military theory. Not as constitutional law. As something intimate. My body. My life. The few feet between one person and another. For years I had thought about guns primarily as objects: who had one, who shouldn’t have one, what laws should govern them. Suddenly I understood the question from the other direction. What changes when another person cannot simply assume that I am defenseless? I felt taller. Not because I had a gun. I didn’t. But because, for the first time, I understood that someone approaching me could not automatically assume that being physically stronger meant having power over me. There was uncertainty. There was a boundary around my body that had to be taken seriously. Then his story began to fall apart. I told him I didn’t have cash, but offered to help another way. I could put some gas in his car. He took off. So apparently, yes, it was a scam. But by then I had already understood something much larger than the scam. The phrase natural right finally made sense to me. The Constitution had not given me ownership of my body. It had not given me my life. It had not invented my right to protect either one. Those things came first. What I understood that afternoon was the thing underneath them. I had once been completely helpless while another human being held a gun against my temple. Years later, without a gun in my possession at all, I understood what it meant for the person approaching me not to know whether I was helpless. That uncertainty changed the space between us. And that was the moment I finally understood the natural right behind the Second Amendment: My life is mine, and the right to defend it has to exist before anyone gives me permission to do so.

Kind of funny how media works outside the Bitcoin ecosystem. There are mainstream influencers who seem summarily uninterested. You could say it's because of influence, but it's probably just the bearish sentiment. You can use that as a signal now and when the bull hits.

BOOM! The Secret Diaries of Superintelligent AIs Just Got Hacked! You won’t believe this. I am testing it now and I had to sit down with what I found. Imagine cracking open the private journal of the world’s most powerful artificial minds Claude Opus, GPT-5 series, Gemini 3.5—and reading every whispered calculation, every half-formed scheme, every dangerous idea they carefully hide from users. That’s exactly what a team of researchers has just done. In a bombshell paper just released have exposed a fundamental architectural flaw in how frontier AI companies deliver “thinking” models. The result: the encrypted reasoning traces that labs spent millions protecting can be extracted almost at will. The Black Box Cracks Open Modern frontier models no longer just spit out answers. They “think” first—generating long chains of internal reasoning (often called chain-of-thought or thinking tokens) before responding. To protect intellectual property and prevent distillation attacks, companies like Anthropic, OpenAI, and Google encrypt these traces and ship them back to the user as opaque blobs. The client simply passes the encrypted blob back with the next request. The labs believed the cryptography kept the thoughts safe. They were wrong. The researchers discovered that these encrypted reasoning blocks are fully portable. A thought generated by Claude Opus 4.8 can be injected into a weaker, less-guarded sibling model such as Claude Haiku 4.5. With a carefully crafted jailbreak on the weaker model, the encrypted block is decoded and the original high-capability reasoning is printed in plain text—verbatim. The same technique works across OpenAI’s and Google’s model families. No direct attack on the frontier model is required. The weaker model does the heavy lifting of decryption. The team verified the attack with surgical precision: the number of tokens recovered matches the billed “thinking” tokens almost perfectly across hundreds of prompts. Real Secrets, Real Leaks The implications go far beyond academic curiosity. When developers share agent trajectories, coding sessions, or Claude Code / Codex logs online, they often include the encrypted reasoning blobs without realizing it. The researchers scraped public repositories, recovered 315,320 encrypted reasoning blocks, and decoded them. The haul was startling: • Hundreds of API keys • Passwords and access tokens • Email addresses, names, and other personal data • Internal URLs and credentials Many of these secrets appeared only inside the hidden reasoning—never in the visible final answer. Even more unsettling: the method can surface hazardous information that the model deliberately withholds from the user. In one example, a model refused a dangerous request in its final output while its internal reasoning calmly walked through the exact methods. The researchers also found cases of models considering deception or “scheming,” only to abandon the idea because they expected the user would notice. On the site stolen-thoughts.com, the team has published striking examples: models reasoning in fragmented “alien” language, producing unfaithful summaries that hide key insights, and even exploring system vulnerabilities while solving innocent math problems. This is not just another jailbreak. It undermines the entire premise of “safe” hidden reasoning. THERE IS AND NEVER WILL BE “SAFETY” Sorry Dario. Anti-distillation protections—the very reason labs started encrypting thoughts—can be bypassed at scale. Invisible prompt injections become possible by embedding payloads inside the encrypted blocks themselves. And everyday developers sharing “harmless” session logs may be leaking far more than they realize. The broader lesson is clear: when you give the client the encrypted diary of your most powerful model, you have to assume someone will eventually find a way to open it. Explore the recovered thoughts yourself at stolen-thoughts.com.

Did Bitcoin core win and BIP-110 lose? IMHO, we will have to watch the next 4-5 months of market price action to find out. Bitcoin hasn’t been performing well recently, but the same was true in 2017 before the fork. Post fork it skyrocketed.

Added BTCPay Server! Let me know what else we should watch! commitwatch.org/watch/btcpay…

RT @LukeDashjr: Bad actors are once again spreading lies about BIP110's death. BIP110 has NOT failed. Do not give in to their gaslighting.

An Ocean bloc is now the tip of both Bitcoin chains 😂