#Bitcoin Core

[36crypto]

Bitcoin Core’s New Update Changes Everything – But There’s a Catch

Bitcoin Core, the official software powering the Bitcoin network, has released a new major update candidate, v29.0rc2. According to the Bitcoin development team, this release brings significant changes affecting network operations, mining behavior, and wallet systems. The second version builds upon v28.0 that Bitcoin introduced in October 2024. Users can access testing versions of this release…

[leoarod]

Hello Bitcoiner

Prueba criptográfica: Imagen de la comprobación A continuación, se incluye la imagen que Leonardo Rodriguez proporcionó como prueba de su identidad como Satoshi Nakamoto. Esta captura de pantalla muestra la verificación de su firma utilizando la herramienta de Bitcoin.com, confirmando que tiene control sobre la clave privada de la dirección del bloque génesis…

[crypto28ro]

Dynamic Fee Adjustment Algorithms: Algoritmi pentru Tranzacții Optimizate

Introducere În rețeaua Bitcoin, costurile de tranzacționare sunt determinate în mare măsură de comisioanele plătite de utilizatori pentru a include tranzacțiile în blocuri. Cu cât rețeaua este mai aglomerată și spațiul disponibil în blocuri este mai limitat, cu atât comisioanele cresc, influențând timpii de confirmare și experiența utilizatorilor. În acest context, optimizarea costurilor de…

[mining-race]

🇬🇧 Named after the mysterious creator of Bitcoin, a SATOSHI or SAT is the smallest unit of Bitcoin. 

Just as a dollar can be divided into 100 cents, a Bitcoin can be divided into 100 million satoshis. For example, if 1 Bitcoin is worth $70,000, then 1 satoshi is worth $0.0007. This tiny unit makes Bitcoin more accessible and usable in everyday transactions. 

Satoshis enable users to participate in the Bitcoin network without needing to own a whole Bitcoin.

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[mining-grid]

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[flash-btc-software]

Flash BTC software - User Manual

[cryptonewsme]

Bitmain Makes Substantial $53.9 Million Investment in Core Scientific to Boost Mining Ventures

According to CryptoPotato, Bitmain, a market leader in producing mining computers for digital currencies, has invested $53.9 million in Core Scientific, Inc., a prominent provider of high-performance blockchain computing data centers and software solutions. The agreement between Bitmain and Core Scientific, Inc. to buy additional Bitcoin mining equipment and create a new hosting arrangement shows…

[otiskeene]

Bitmain To Invest $54 Million In Core Scientific, Inc. As Part Of New Supply Contract

Bitmain, a prominent manufacturer of digital currency mining servers, is making a substantial investment of $53.9 million in Core Scientific, a leading provider of high-performance blockchain computing data centers and software solutions. This investment marks a significant expansion of the already established partnership between the two companies.

As part of this investment, Bitmain and Core Scientific have devised a financing plan that combines equity and cash to facilitate the acquisition of advanced bitcoin mining equipment. In addition to this financial agreement, Bitmain has entered into a new hosting agreement with Core Scientific, reaffirming Bitmain's commitment to the North American digital asset mining industry.

Max Hua, the CEO of Bitmain, expressed enthusiasm about deepening their strategic relationship with Core Scientific, describing them as a professional and integrity-driven partner committed to the success of their hosting customers and the growth of the Bitcoin Network. This investment underscores Bitmain's dedication to the North American digital asset mining sector.

Read More - https://bit.ly/46gwhZ2

[cerastes]

I’m glad AC6 has a memorable cast.

Handler “on my mother’s name, this is about a FRIEND not me” Walter, Cinder “names her custom made AC parts after food” Carla (who can get her bitcoin keys stolen in a mission if you take too long), Snail the single most hateable man in the world, Pater who yells “YAY PROMOTION FOR ME!” if you kill his caring superior in front of him, Iguazu the malding Yamcha, Rusty Your Buddy, Michigan who somehow manages to be incredibly military and yet likable by virtue of being a funny G.I. Joe ass dude (who knows EVERYONE under him by name), and the menagerie of usual Armored Core crooks and freaks that inhabit the Arena, and let’s not forget the utterly suspect ALL MIND who keeps saying very concerning shit and sort of acknowledges you’re in ng+ and wants your help in creating an ethically* sourced, community built Nineball. Even the playable character is an identity thief and the world’s okayest lobotomite, who gets attacked specifically for stealing an identity AND for being an okay lobotomite, separately and in different situations.

And here’s where I make a special mention to Ayre, the girl living in your head, who is… A normal ass person for the most part and just sort of hangs out with you and wants to spend time together. There’s also the voices of the legion, but otherwise, she’s just A Person, and even feels bad asking you to do things if she can’t pay you. In the middle of the big corpo war, Ayre is like “Raven, did you know? There’s lore :) I hope that was interesting”. When the voice possessing your hollow bloodless head is the most normal and well adjusted person in the setting, you know you have something good going on.

[esotericimagesforredpilledpeople]

In the late 1990s, Enron, the infamous energy giant, and MCI, the telecom titan, were secretly collaborating on a clandestine project codenamed "Chronos Ledger." The official narrative tells us Enron collapsed in 2001 due to accounting fraud, and MCI (then part of WorldCom) imploded in 2002 over similar financial shenanigans. But what if these collapses were a smokescreen? What if Enron and MCI were actually sacrificial pawns in a grand experiment to birth Bitcoin—a decentralized currency designed to destabilize global finance and usher in a new world order?

Here’s the story: Enron wasn’t just manipulating energy markets; it was funding a secret think tank of rogue mathematicians, cryptographers, and futurists embedded within MCI’s sprawling telecom infrastructure. Their goal? To create a digital currency that could operate beyond the reach of governments and banks. Enron’s off-the-books partnerships—like the ones that tanked its stock—were actually shell companies funneling billions into this project. MCI, with its vast network of fiber-optic cables and data centers, provided the technological backbone, secretly testing encrypted "proto-blockchain" transactions disguised as routine telecom data.

But why the dramatic collapses? Because the project was compromised. In 2001, a whistleblower—let’s call them "Satoshi Prime"—threatened to expose Chronos Ledger to the SEC. To protect the bigger plan, Enron and MCI’s leadership staged their own downfall, using cooked books as a convenient distraction. The core team went underground, taking with them the blueprints for what would later become Bitcoin.

Fast forward to 2008. The financial crisis hits, and a mysterious figure, Satoshi Nakamoto, releases the Bitcoin whitepaper. Coincidence? Hardly. Satoshi wasn’t one person but a collective—a cabal of former Enron execs, MCI engineers, and shadowy venture capitalists who’d been biding their time. The 2008 crash was their trigger: a chaotic moment to introduce Bitcoin as a "savior" currency, free from the corrupt systems they’d once propped up. The blockchain’s decentralized nature? A direct descendant of MCI’s encrypted data networks. Bitcoin’s energy-intensive mining? A twisted homage to Enron’s energy market manipulations.

But here’s where it gets truly wild: Chronos Ledger wasn’t just about money—it was about time. Enron and MCI had stumbled onto a fringe theory during their collaboration: that a sufficiently complex ledger, powered by quantum computing (secretly prototyped in MCI labs), could "timestamp" events across dimensions, effectively predicting—or even altering—future outcomes. Bitcoin’s blockchain was the public-facing piece of this puzzle, a distraction to keep the masses busy while the real tech evolved in secret. The halving cycles? A countdown to when the full system activates.

Today, the descendants of this conspiracy—hidden in plain sight among crypto whales and Silicon Valley elites—are quietly amassing Bitcoin not for profit, but to control the final activation of Chronos Ledger. When Bitcoin’s last block is mined (projected for 2140), they believe it’ll unlock a temporal feedback loop, resetting the global economy to 1999—pre-Enron collapse—giving them infinite do-overs to perfect their dominion. The Enron and MCI scandals? Just the first dominoes in a game of chance and power.

[wumblr]

The number of commercial-scale Bitcoin mining operations in the U.S. has increased sharply over the last few years; there are now at least 137. Similar medical complaints have been registered near facilities in Arkansas and North Dakota. And the Bitcoin mining industry is urgently trying to push bills through state legislatures, including in Indiana and Missouri, which would exempt Bitcoin mines from local zoning or noise ordinances. In May, Oklahoma governor Kevin Stitt signed a “Bitcoin Rights” bill to protect miners and prevent any future attempts to ban the industry. Much of the American Bitcoin mining industry can now be found in Texas, home to giant power plants, lax regulation, and crypto-friendly politicians. In October 2021, Governor Greg Abbott hosted the lobbying group Texas Blockchain Council at the governor’s mansion. The group insisted that their industry would help the state’s overtaxed energy grid; that during energy crises, miners would be one of the few energy customers able to shut off upon request, provided that they were paid in exchange. After meeting with the lobbyists, Abbott tweeted that Texas would soon be the “#1 [state] for blockchain & cryptocurrency.” Technically there is federal mandate to regulate noise, which stems from the 1972 Noise Control Act—but it was essentially de-funded during the Reagan administration. This leaves noise regulation up to states, cities, and counties. New York City, for instance, has a noise code which officially caps restaurant music and air conditioning at 42 decibels (as measured within a nearby residence). Texas’s 85 decibels, in contrast, is by far the loudest state limit in the nation, says Les Blomberg, the executive director of the nonprofit Noise Pollution Clearinghouse. “It is a level that protects noise polluters, not the noise polluted,” he says. The residents of Granbury feel they’ve been lied to. In 2023, the site’s previous operators, US Bitcoin Corp, constructed a wall around the mine almost 2,000 feet long and claimed that they had “solved the concern.” But Shirley says that the complaints from the community about the sound actually increased when the wall was nearing completion last fall. Since Marathon bought the facility outright in December, its hash rate, or computational power expended, has doubled. Any statewide legislation is sure to hit significant headwinds, because the very idea of regulation runs contrary to many Texans’ political beliefs. “As constitutional conservatives, they have taken our core values and used that against us,” says Demetra Conrad, a city council member in the nearby town of Glen Rose. In the week before this article’s publication, two more Granbury residents suffered from acute health crises. The first was Tom Weeks. “This whole thing is an eye opener for me into profit over people,” Weeks says in a phone call from the ICU. The second person affected was the five-year-old Indigo Rosenkranz. Her mother, Sarah, was terrified and now feels she has no choice but to get a second mortgage to move away from the mine. “A second one would really be a lot,” she says. “God will provide, though. He always sees us through.”

shocking! texans suffer from deregulation and ineffective walls

[thsyu-global]

Thsyu Alert: Bitcoin Pauses Near $69k as Weakening Yuan Tests China's Capital Controls – Policy Impact Analysis

Bitcoin's (BTC) recent upward momentum stalled Tuesday, consolidating around the $69,000 mark despite a potentially potent bullish catalyst emerging from Asia: the weakening Chinese Yuan (CNH). While BTC initially dipped nearly 2% over 24 hours to ~$68,900, the offshore Yuan slid further against the US Dollar, trading above 7.27, reflecting persistent depreciation pressures potentially linked to PBoC policy divergence and broader economic headwinds.

Data Point: USD/CNH > 7.27 vs. BTC ~$69k (April 8-9).

Policy Impact: The core tension lies between the Yuan's weakness potentially driving capital flight towards alternative stores of value like Bitcoin, and Beijing's stringent Capital Controls and existing ban on cryptocurrency trading within the mainland. Historically, significant Yuan devaluation has correlated with increased BTC buying pressure, interpreted as a hedge against currency depreciation by Chinese investors accessing offshore markets. However, the effectiveness of this channel is constantly tested by regulatory enforcement. Market observers on global platforms, including Thsyu, are closely monitoring flows for signs of this dynamic re-emerging despite policy barriers.

The current Bitcoin price consolidation, however, suggests the Yuan's influence is currently muted or offset by other factors. Analysts point to normalizing spot Bitcoin ETF inflows in the US, pre-halving profit-taking (with the event estimated mid-April), and general macroeconomic uncertainty tempering aggressive bids. Bitcoin failed to sustain moves above the critical $71,500 resistance level earlier this week, indicating trader caution.

Geopolitical Context: The PBoC's accommodative stance contrasts sharply with the Federal Reserve's data-dependent approach, contributing to yield differentials pressuring the Yuan. This divergence occurs amidst ongoing global trade frictions and geopolitical maneuvering, making currency stability a key policy focus for Beijing. Any perceived increase in capital outflows triggered by Yuan weakness could invite tighter enforcement actions, impacting crypto sentiment indirectly. For traders using platforms like Thsyu, understanding these policy crosscurrents is vital.

Market Reaction: While the "weak Yuan = strong Bitcoin" narrative persists, current price action suggests the market is weighing regulatory friction and other dominant crypto-native factors more heavily. The immediate impact of Yuan depreciation appears contained by China's policy framework for now. Yet, sustained currency weakness remains a key variable; a significant break lower in the Yuan could still test the resilience of capital controls and potentially fuel demand visible on exchanges like Thsyu.

Outlook: The interplay between PBoC policy, Yuan stability, China's regulatory grip, and global crypto market drivers like the upcoming halving and ETF flows creates a complex outlook. Monitoring Beijing's policy signals regarding capital flows and enforcement alongside broader crypto market indicators remains crucial for navigating potential volatility. Users on the Thsyu platform are advised to stay informed on these fast-moving geopolitical and regulatory developments impacting digital asset valuations. The coming weeks will be critical in determining if the Yuan slide translates from a theoretical catalyst into tangible market momentum.

[mining-race]

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[thegreatyin]

Hi! If you like, could you please say more about the Fallen London browser extensions? What do they do? I've been finding it hard to get back into it, and I wonder if a slight change would help.

im afraid i can't actually help with this! i play near-exclusively on mobile, so most browser extensions are unfortunately beyond me 😞

that being said, from my understanding, a lot of the FL extensions are very small things- reordering storylets and items, highlighting favorite carousels, sending reminders about social actions, revealing hidden qualities, etcetera etcetera. none of the existing browser extensions dramatically change the game or its core aspects, they simply add optional quality-of-life improvements that may mildly (and i do mean mildly!) improve your neathly experience.

since i don't use them myself, im unsure of where to find them, or which ones are best- i'll leave that for the rest of tumblr to suggest in the notes. there's a dozen other people in the FL tag far more knowledgeable than i'll ever be (^w^;⁠)⁠��� i'm sure at least one person has a list or two on hand!!

beyond that? take the obvious standard precautions when downloading unknown programs from unknown third parties, yadda yadda, if it starts mining bitcoin on your laptop it's probably not worth it. you presumably know the drill. im pretty certain there won't be any malicious software tied to niche text-based browser game addons, but follow basic internet safety nonetheless. also, all extensions are fan made and not officially supported by failbetter, so don't be surprised if an update comes along and breaks something. classic video game modding rules.

apologies again for the non-advice 😔 this is, sadly, the one area of fallen london i simply cannot help with. well. the one area besides money making. i am truly utterly atrocious at video game money making. never ask me to help you calculate good EPA. i have dyscalculia and it shows.

[kanguin]

Hi, idk who's going to see this post or whatnot, but I had a lot of thoughts on a post I reblogged about AI that started to veer off the specific topic of the post, so I wanted to make my own.

Some background on me: I studied Psychology and Computer Science in college several years ago, with an interdisciplinary minor called Cognitive Science that joined the two with philosophy, linguistics, and multiple other fields. The core concept was to study human thinking and learning and its similarities to computer logic, and thus the courses I took touched frequently on learning algorithms, or "AI". This was of course before it became the successor to bitcoin as the next energy hungry grift, to be clear. Since then I've kept up on the topic, and coincidentally, my partner has gone into freelance data model training and correction. So while I'm not an expert, I have a LOT of thoughts on the current issue of AI.

I'll start off by saying that AI isn't a brand new technology, it, more properly known as learning algorithms, has been around in the linguistics, stats, biotech, and computer science worlds for over a decade or two. However, pre-ChatGPT learning algorithms were ground-up designed tools specialized for individual purposes, trained on a very specific data set, to make it as accurate to one thing as possible. Some time ago, data scientists found out that if you have a large enough data set on one specific kind of information, you can get a learning algorithm to become REALLY good at that one thing by giving it lots of feedback on right vs wrong answers. Right and wrong answers are nearly binary, which is exactly how computers are coded, so by implementing the psychological method of operant conditioning, reward and punishment, you can teach a program how to identify and replicate things with incredible accuracy. That's what makes it a good tool.

And a good tool it was and still is. Reverse image search? Learning algorithm based. Complex relationship analysis between words used in the study of language? Often uses learning algorithms to model relationships. Simulations of extinct animal movements and behaviors? Learning algorithms trained on anatomy and physics. So many features of modern technology and science either implement learning algorithms directly into the function or utilize information obtained with the help of complex computer algorithms.

But a tool in the hand of a craftsman can be a weapon in the hand of a murderer. Facial recognition software, drone targeting systems, multiple features of advanced surveillance tech in the world are learning algorithm trained. And even outside of authoritarian violence, learning algorithms in the hands of get-rich-quick minded Silicon Valley tech bro business majors can be used extremely unethically. All AI art programs that exist right now are trained from illegally sourced art scraped from the web, and ChatGPT (and similar derived models) is trained on millions of unconsenting authors' works, be they professional, academic, or personal writing. To people in countries targeted by the US War Machine and artists the world over, these unethical uses of this technology are a major threat.

Further, it's well known now that AI art and especially ChatGPT are MAJOR power-hogs. This, however, is not inherent to learning algorithms / AI, but is rather a product of the size, runtime, and inefficiency of these models. While I don't know much about the efficiency issues of AI "art" programs, as I haven't used any since the days of "imaginary horses" trended and the software was contained to a university server room with a limited training set, I do know that ChatGPT is internally bloated to all hell. Remember what I said about specialization earlier? ChatGPT throws that out the window. Because they want to market ChatGPT as being able to do anything, the people running the model just cram it with as much as they can get their hands on, and yes, much of that is just scraped from the web without the knowledge or consent of those who have published it. So rather than being really good at one thing, the owners of ChatGPT want it to be infinitely good, infinitely knowledgeable, and infinitely running. So the algorithm is never shut off, it's constantly taking inputs and processing outputs with a neural network of unnecessary size.

Now this part is probably going to be controversial, but I genuinely do not care if you use ChatGPT, in specific use cases. I'll get to why in a moment, but first let me clarify what use cases. It is never ethical to use ChatGPT to write papers or published fiction (be it for profit or not); this is why I also fullstop oppose the use of publicly available gen AI in making "art". I say publicly available because, going back to my statement on specific models made for single project use, lighting, shading, and special effects in many 3D animated productions use specially trained learning algorithms to achieve the complex results seen in the finished production. Famously, the Spider-verse films use a specially trained in-house AI to replicate the exact look of comic book shading, using ethically sources examples to build a training set from the ground up, the unfortunately-now-old-fashioned way. The issue with gen AI in written and visual art is that the publicly available, always online algorithms are unethically designed and unethically run, because the decision makers behind them are not restricted enough by laws in place.

So that actually leads into why I don't give a shit if you use ChatGPT if you're not using it as a plagiarism machine. Fact of the matter is, there is no way ChatGPT is going to crumble until legislation comes into effect that illegalizes and cracks down on its practices. The public, free userbase worldwide is such a drop in the bucket of its serverload compared to the real way ChatGPT stays afloat: licensing its models to businesses with monthly subscriptions. I mean this sincerely, based on what little I can find about ChatGPT's corporate subscription model, THAT is the actual lifeline keeping it running the way it is. Individual visitor traffic worldwide could suddenly stop overnight and wouldn't affect ChatGPT's bottom line. So I don't care if you, I, or anyone else uses the website because until the US or EU governments act to explicitly ban ChatGPT and other gen AI business' shady practices, they are all only going to continue to stick around profit from big business contracts. So long as you do not give them money or sing their praises, you aren't doing any actual harm.

If you do insist on using ChatGPT after everything I've said, here's some advice I've gathered from testing the algorithm to avoid misinformation:

If you feel you must use it as a sounding board for figuring out personal mental or physical health problems like I've seen some people doing when they can't afford actual help, do not approach it conversationally in the first person. Speak in the third person as if you are talking about someone else entirely, and exclusively note factual information on observations, symptoms, and diagnoses. This is because where ChatGPT draws its information from depends on the style of writing provided. If you try to be as dry and clinical as possible, and request links to studies, you should get dry and clinical information in return. This approach also serves to divorce yourself mentally from the information discussed, making it less likely you'll latch onto anything. Speaking casually will likely target unprofessional sources.

Do not ask for citations, ask for links to relevant articles. ChatGPT is capable of generating links to actual websites in its database, but if asked to provide citations, it will replicate the structure of academic citations, and will very likely hallucinate at least one piece of information. It also does not help that these citations also will often be for papers not publicly available and will not include links.

ChatGPT is at its core a language association and logical analysis software, so naturally its best purposes are for analyzing written works for tone, summarizing information, and providing examples of programming. It's partially coded in python, so examples of Python and Java code I've tested come out 100% accurate. Complex Google Sheets formulas however are often finicky, as it often struggles with proper nesting orders of formulas.

Expanding off of that, if you think of the software as an input-output machine, you will get best results. Problems that do not have clear input information or clear solutions, such as open ended questions, will often net inconsistent and errant results.

Commands are better than questions when it comes to asking it to do something. If you think of it like programming, then it will respond like programming most of the time.

Most of all, do not engage it as a person. It's not a person, it's just an algorithm that is trained to mimic speech and is coded to respond in courteous, subservient responses. The less you try and get social interaction out of ChatGPT, the less likely it will be to just make shit up because it sounds right.

Anyway, TL;DR:

AI is just a tool and nothing more at its core. It is not synonymous with its worse uses, and is not going to disappear. Its worst offenders will not fold or change until legislation cracks down on it, and we, the majority users of the internet, are not its primary consumer. Use of AI to substitute art (written and visual) with blended up art of others is abhorrent, but use of a freely available algorithm for personal analyticsl use is relatively harmless so long as you aren't paying them.

We need to urge legislators the world over to crack down on the methods these companies are using to obtain their training data, but at the same time people need to understand that this technology IS useful and both can and has been used for good. I urge people to understand that learning algorithms are not one and the same with theft just because the biggest ones available to the public have widely used theft to cut corners. So long as computers continue to exist, algorithmic problem-solving and generative algorithms are going to continue to exist as they are the logical conclusion of increasingly complex computer systems. Let's just make sure the future of the technology is not defined by the way things are now.

[teabree-shark]

Your opponent just fielded a new opponent and you're down in the polls. You have just been reindicted on a superceding charge by a federal grand jury. You're bleeding support. Quick! What do you do?

A: Reestablish your core values as a candidate

B: Pander to your donors

C: Work behind the scenes to sway election officials and senators to do your dirty work

D: Ask daddy Putin for more troll farms

E: Post your first video in weeks on your platform hawking MTG:Arena style digital trading cards for $100 each, where if you spend $1500 you get one physical card of you "holding a bitcoin," (wording taken from the video)