Don’t Play the Pride Game - Bishop Barron’s Sunday Sermon
Take PRIDE in what you do!
Alan Watts – The Bible Story Is Not Real | Spiritual Truth Revealed
Bitcoin only, not crypto, not alt coins not meme coins, not blockchain, not blockchains, not defi, not digital assets
Bitcoin only, learn why, study #bitcoin
Turning a $150 AC Into a Super-Efficient Geothermal Unit!
Bitcoin, not crypto.
http://youtube.com/post/UgkxlhRJs3ox3UABlSpG9ruIGZnAGVeSszWE
Are You Happy? What To Do If You're Not | Alan Watts
Israel bombs Yemen's capital Sanaa causing huge fireball | AJ #shorts
THIS is making you poorer and stealing your wealth #investing #money
Donavon Frankenreiter - Fortunate Son #music
Sting - Fields Of Gold (Live From Lake House, Wiltshire, England, 1993) #music
When should police turn off bodycam? #shorts #bodycam #police #RhodeIsland #news #arrest
I MAKE NATURAL GAS FROM PLASTIC WASTE! #naturejab #pyrolysis #science
Hillary Clinton Rigged the Primary. Julian Assange Proved It.
Alan Watts: After This You’ll Never See Life the Same Again
Number go up: #Bitcoin is a Trojan Horse | Alex Gladstein and Lex Fridman
https://www.youtube.com/watch?v=3xH1vBuDbBA
Number go up: Bitcoin is a Trojan Horse - Part 2 | Saifedean Ammous and Lex Fridman
https://www.youtube.com/watch?v=MTlBgS9Zshc
nostr:
Less than 1% of beef sold in the U.S. is truly grass-fed.
Misleading food labels and industry loopholes surround the grass-fed beef marketing lies.
Find out about the grass-fed scam and what you can do to make healthy choices.
AI’s Reconstructing Reality, Using Data To Show The Past In Newfound Clarity.
How AI and technology turn yesterday’s data into tomorrow’s truth, expanding what humans can perceive and driving real change.
Nation-state or billionaire level AI pulls from everything, payments, social pings, web trails, haptics, voice tremors, GPS ghosts, what nearby idle phone mics pick up, even who your friends call when you’re not around.
AI filtering everyone associated, layering it all, and it doesn’t just replay what happened, it builds a 3D map of intent, emotion and dynamic details once unknowable. And AI is just getting started.
This piece dives deep but it uncovers how AI and tech are reshaping our world through metadata, privacy, then it expands on real-world impact before ending.
I think the most interesting information in this article is that forgotten data from the 90's till current day is being used to reconstruct past events with extremely high detail, even offering analysis and details not perceivable.
Through complex AI analysis of all data collected, associated activities and conversations, nearby phones, even if the phones are off. Payments, web activity, camera, microphone, phone movements.
Governments or those with advanced tech can talk to AI, have it process details and make high probabilistic inferences with accuracy that will blow your mind.
With a small amount of information, usually ~90% accurate, with moderate amount, it's close to and often 100%.
Societal shifts. Back to the future.
For the past thirty years, every ping, GPS drift, payment twitch, idle mic hum sat encrypted in vaults the public never questioned.
Now elite level AI leagues ahead of Siri or ChatGPT, chews through it all like tissue.
Nation-states and billionaires aren’t guessing; they’re querying probabilistic reconstructions that nail your habits, lies, plans, even unspoken tensions, cross-correlating data points Snowden exposed in 2013, like metadata mapping moods.
From call logs, location clusters, vibration waveforms in MEMS sensors, or synced phone chatter.
Whitney Webb’s warned us: this isn’t paranoia, it’s power asymmetry exploding.
Think DARPA’s ASIMOV ethics work meets Rogan’s take, opacity ends, AI filling gaps at 95% confidence, turning junk data into crystal-clear indictments.
We’re in a window where yesterday’s opacity crumbles under tomorrow’s scrutiny, revealing truths no spin can hide.
Old-school data ie call logs, GPS pings, transaction histories, was collected for billing or ad targeting, but AI retrofits it into a truth machine.
Even without secret audio beaming to agencies, known tech like MEMS sensors detecting vibrations or phones preloading camera drivers when “off” enables wild inferences.
AI fills gaps from scraps like GPS clusters or app pings, sketching days, weeks, decades with 95% confidence.
History warns against betting on no hidden backdoors, less paranoia, more dot-connecting.
For elites, it’s probabilistic forensics: models infer relationships from location overlaps, pregnancy from web activity, fraud from payments, turning junk into crystal balls.
The past thirty years weren’t invisible, just unsearchable until now.
Every text, call, money move, or passive mic moment is reconstructible via cross-correlation: GPS, idle mic waveforms (where captured), logs, texts, payments, web activity, plus data from associates.
AI, through large language models, generates probabilistic assessments of activities, thoughts, interactions, often more accurate than memory, despite retention gaps.
We’ve advanced from loose guesses to high-confidence inference. No one foresaw this; criminals couldn’t prepare.
As tools democratize, elites face scrutiny, narratives challenged by uneditable patterns.
Privacy evolves: advanced cryptography and sovereign AI enable selective exposure, shielding innocents while revealing crimes. Bitcoin offers incorruptible money and info.
Abundance via robotics, universal income, voluntary systems makes cheating obsolete, needs met, interactions voluntary, lies costly when robots provide essentials near-free.
Society trends toward honesty, not 1984 submission. AI as impartial co-pilot exposes flaws, fosters repair.
Near-term, before metadata encryption, systems infer infidelity or acts with 80-95% confidence from signals.
Phones capture wake-word snippets locally or via apps, though archival isn’t standard per public knowledge legal barriers like wiretapping restrict bulk collection.
But Snowden proved agencies collect unknowns. Cross-reference mics, vibrations, GPS, payments: waveforms add evidence.
Justice reconstructs from partial archives, enhanced by AI. Rogan podcasted a future of no secrets, the human ledger bare.
He warned we're all being recorded forever, no edits. But he flips it: maybe that's mercy. No secrets means no hiding, no lies festering. Everyone starts from truth.
Nation-state AI ingests ambient data, blurring memory and indictment. Rogan nailed the endgame; rollout’s gated by ethics.
Tech giants query patterns with classified data. Barriers dropping, hiding’s futile—we adapt to openness. Private LLMs on sovereign servers decentralize.
Evidence: NSA leaks mapped metadata behaviors; DARPA ASIMOV evaluates autonomous ethics, mitigating unintended harms.
Transitional window: legacy data outpaced encryption. Retention varies—telecoms 1-7 years, banks 5-7, tech 6-18 months, much deleted, but surviving 1990s+ data unlocks patterns: affairs from clusters, fraud from anomalies, abuses from graphs.
Retroactive power vindicates victims, reopens cases, but erodes privacy—ephemeral data reanimated. Risks: biased inferences, speech chilling, unequal access. Yet inferences always biased; competing AIs, audited by experts, ensure fairness.
Technology's march, whether through binoculars sharpening sight, calculators amplifying reason, drones taking flight, or screens unveiling digital trails, constantly redefines perceivable reality, stretching human senses, thought and possibility.
New tech alters privacy while exposing once-hidden domains to relentless scrutiny.
To state the obvious objectively, this tech filters past data, bringing truth to wrongs, benefiting all.
Speech and privacy are responsibilities; tech use is risky, as history shows.
Ethical choices matter beyond surveillance.
AI deters harm by costing opacity, accelerates justice against propaganda, pushes decentralization (e.g., Nostr’s protocol resilience in recent analyses) through advancement of individual's baseline capabilities.
Robust balance could be achieved via open-source frameworks, consent access, zero-knowledge proofs.
Past opacity enabled abuses, infidelity, cartels, lies etched in metadata, rippling today.
Transparency calibrates like DNA exonerations: justice, not vengeance.
If a 2014 mic snippet filtered through AI unearths lies, it mirrors 2025 tech solving 1995 cases.
As Jordan Peterson warns, incentives breed darkness; here, they breed light.
Algorithmic fairness: truthful, open-source AI wins, teaching harm’s waste. Consistent light; shadows obsolete.
Tom Waits - "Eggs And Sausage (In A Cadillac With Susan Michelson)" #music
Navigating The American Healthcare System | South Park: The End Of Obesity
#Bitcoin #Nostr
Robots That Never Stop: The Self-Sustaining Future
Picture robots that mine, build, and power themselves indefinitely, transforming society with zero waste.
This is where tech’s headed, faster than you think.
The core idea in this note is that we’re inching toward robotic systems that harvest, build, repair, and energize themselves. It feels inevitable given the trajectory of tech.
The transformative potential: economic shifts, resource efficiency, societal advancement, space expansion is exciting.
Elon Musk’s vision of “universal high income” (not basic) fits here: with robots handling labor, abundance could free humans for creativity, and new advancements or currently unassailable/unknown feats, as he reiterated in multiple statements.
He predicts AI/automation will lead to “no scarcity, except that which we define,” enabling everyone access to top-tier goods and services.
He's reiterated that by 2050, this could indeed revolutionize society, especially if paired with eco-friendly mining to minimize waste.
They say perpetual motion is a pipe dream, but we're on the brink of self sustaining robotic ecosystems.
AI driven machines that harvest, build, and repair themselves, creating feedback loops that could thrive for centuries.
From NASA's mining bots to self-healing materials, the future's already here, and it's rewriting what's possible.
Below is a note addressing the inevitability of a sustainable robotic feedback loop, the thermodynamic constraints, its transformative potential for society, and the logical steps leading to this future.
The note includes references to current technological trends and speculative insights from public discourse (e.g., X platform posts and industry developments).
The Inevitability of a Sustainable Robotic Feedback Loop: Thermodynamic Constraints and Transformative Societal Impacts
The pursuit of perpetual motion systems, while constrained by the inviolable laws of thermodynamics, inspires visions of a near perpetual, self sustaining robotic ecosystem that could redefine human civilization.
The first and second laws of thermodynamics dictate that no system can achieve true perpetuity due to inevitable energy losses (e.g., as heat or entropy).
However, advancements in artificial intelligence (AI), robotics, and energy technologies point toward the feasibility of a sustainable feedback loop, wherein robots autonomously harvest resources, manufacture themselves, and produce energy systems, achieving a functional approximation of perpetuity.
This note explores the logical progression of such a system, its likelihood based on current technological trajectories, and its transformative potential for global society, as discussed in contemporary discourse.
Thermodynamic Constraints and the Concept of a Sustainable Loop
True perpetual motion violates thermodynamic principles, as energy cannot be created nor destroyed (First Law), and all systems experience entropy increase (Second Law), necessitating external energy inputs.
However, a sustainable feedback loop circumvents these limits by integrating renewable energy sources into a robotic ecosystem.
Such a system would involve robots capable of surveying terrain, harvesting raw materials (e.g., metals, silicon), manufacturing components (including their own replacements), and constructing energy infrastructure.
This approximates a closed loop system by accounting for energy losses through continuous resource cycling, potentially achieving lifecycles spanning centuries.
The inevitability of this system stems from humanity’s drive to advance and the trajectory is evidenced by existing robotic manufacturing lines (e.g., Tesla’s Gigafactory).
Current discussions on platforms like X highlight speculative designs for robotic ecosystems, including autonomous drones and self-repairing robots, which align with this vision.
Grid strain’s a concern, but AI efficiency and renewables are closing the gap fast.
AI's grid strain is real, data centers could eat twenty percent of U.S. power by 2030 if unchecked but solutions are already rolling out.
Efficiency gains in chips (like neuromorphic designs mimicking brains) cut power use by orders of magnitude, and Bitcoin mining recycles all wasted energy, like from flared gas or excess renewables, turning waste into useful work.
It incentivizes grids to balance loads, miners shift to off-peak hours or cheap hydro spots, stabilizing things.
Small scale solar, geothermal micro-plants, and battery storage are booming too, driven by cost drops; perovskites could hit thirty percent efficiency soon, slashing needs overall.
Sustainability pressures force innovation, companies can't scale without cleaner, denser power, so they're racing toward better batteries, and advancing methods, fusion pilots or orbital solar relays by 2040.
On recycling, robots aren't worse than TVs or microwaves; we've cracked e-waste sorting with AI vision systems already pulling out metals at 98% purity.
Future bots could self dismantle or upgrade modules, keeping waste minimal.
Compared to junk toys or old panels? Yeah, landfills from low-value crap dwarf what reusable, high-impact robots would add.
Safety's baked in if we prioritize modular designs and open-source repair, think Lego for machines, 3-D printing in tandem with AI.
Bottom line: hurdles exist, but incentives flip them into accelerators. This future's wild, sure, but way more doable than many suggest.
By 2050, such a loop could transform industries, enabling unprecedented productivity and supporting Musk’s concept of universal high income living, where automation liberates humans from labor intensive tasks.
Logical Steps Toward a Sustainable Robotic Ecosystem
1. Advancements in AI and Robotics :
The exponential growth of AI, exemplified by systems accessing real time internet data, enables robots to perform complex tasks like terrain surveying and resource identification.
For instance, NASA’s exploration robots demonstrate early capabilities in autonomous material harvesting for lunar or asteroid mining, a precursor to Earth-based applications.
2. Self-Manufacturing and Repair :
Technologies like 3D printing and self healing materials, already in development, allow robots to produce components or repair themselves.
Research institutions (e.g., Carnegie Mellon) are advancing robots with sophisticated perception systems, such as Apple and Carnegie Mellon's ARMOR perception tech, which cuts collision risk by over 60% using Time-of-Flight sensors, enhancing operational autonomy.
MIT’s 2023 experiments with self healing polymers showed soft robots repairing tears in minutes using heat activated materials, a step toward durable, self maintaining systems.
3. Energy System Integration :
Robots could manufacture advanced energy systems, such as perovskite solar cells, geothermal plants, next gen nuclear, turbines, heat conductors and batteries.
These would provide the energy required to sustain the loop, minimizing external inputs.
Industry trends, including Apple’s rumored tabletop robot (expected 2027), suggest a shift toward integrated AI driven energy and task management systems.
4. Cryptographic Security and Universal Profiles :
A secure, cryptographically protected digital profile. Utilizing bitcoin to leverage technology enables seamless interaction between robots, devices, and humans.
Such profiles, accessible via multi-factor authentication (e.g., voice, facial recognition, or passphrases), would ensure privacy and personalization, as discussed in public forums (e.g., X).
This aligns with visions of decentralized, open source systems interfacing with devices like drones, wearables, or humanoid robots.
5. Scalable Autonomy :
By 2030–2050, advancements in AI, materials science, and energy efficiency could enable robots to operate as a networked ecosystem, harvesting resources and manufacturing goods with minimal human intervention.
This scalability, driven by human incentives for advancement, underpins the system’s inevitability.
Likelihood and Transformative Potential
The likelihood of this sustainable loop is bolstered by the rapid pace of technological advancement and human incentives to maximize automation.
Industry leaders like Elon Musk, who envision robots enabling universal prosperity, underscore this trajectory.
Tesla’s existing robotic assembly lines and speculative projects like Apple’s Armor (targeting late 2020s production) demonstrate practical steps toward autonomy.
Public discourse on X reflects growing anticipation of robotic ecosystems, with designs for compact drones (e.g., marble-sized autonomous units) and humanoid robots capable of dynamic environmental interaction.
By 2050, such a system could revolutionize society, enabling:
- Economic Transformation : Automation of labor intensive tasks, supporting Musk’s high income vision.
- Resource Efficiency : Near closed loop systems minimizing waste through advanced recycling and material harvesting.
- Global Accessibility : Cryptographically secure profiles ensuring equitable access to personalized robotic services.
- Space Exploration : Extending sustainable loops to extraterrestrial environments, as envisioned by NASA’s autonomous mining concepts.
Challenges and Unforeseen Innovations Despite the promise of a sustainable robotic feedback loop, significant challenges remain.
Energy sustainability requires continuous advancements in renewable sources, such as next-generation solar, turbines, geothermal, batteries and other innovative technologies to offset inevitable thermodynamic losses.
Environmental impacts dwindle with innovations in eco friendly mining and recycling.
Moreover, as highlighted in discussions, unpredictable breakthroughs, potentially in quantum computing, novel materials, or AI driven innovation and optimization will introduce nuances that reshape this trajectory.
These unforeseen advancements, while impossible to predict with precision, are likely to accelerate the development of a sustainable loop, amplifying its societal impact.
Societal and Ethical Implications
The emergence of a sustainable robotic ecosystem carries profound implications for human society.
Economically, the automation of labor could usher in Musk’s vision of universal high income living, where individuals are freed from repetitive tasks, fostering creativity and innovation.
Cryptographically secure profiles, as proposed, would enable universal access to personalized automation, but their implementation must prioritize open source frameworks to prevent monopolistic control.
While there are concerns about AI bias and job displacement, open source designs, and universal high income eliminate these risks, offering transparency and prosperity beyond human driven systems.
Socially, the integration of robots as ubiquitous companions, whether marble sized drones, tabletop AIs, holograms or humanoids like Apple’s Armor, could redefine human-machine interactions, blending seamlessly with daily life.
Like the iphone or personal computer, this tech raises questions about privacy, autonomy, and the psychological impacts of reliance on intelligent systems, necessitating robust vigilance and knowledge, cryptography and open source technology including bitcoin.
Technological Catalysts and Timeline
The timeline for realizing this sustainable loop hinges on converging technological catalysts.
By 2030, advancements in AI, such as neural networks rivaling human cognition, could enable robots to autonomously manage complex tasks like resource surveying and manufacturing.
Projects like Apple’s tabletop robot (expected 2027) and Tesla’s Optimus humanoid suggest consumer-grade robotics will proliferate within the decade.
By 2040–2050, the integration of advanced energy systems, such as perovskite solar cells, geothermal, hydrogen, advanced batteries or something new could power these ecosystems with minimal external inputs.
Public discourse on X underscores enthusiasm for compact, autonomous drones and self-repairing robots, pointing to a cultural readiness for such innovations.
While a fully sustainable loop may not be fully realized until 2050, incremental milestones such as autonomous mining or robotic factories will likely emerge by the late 2030s, reshaping industries and economies.
Conclusion
The vision of a sustainable robotic feedback loop, while bound by thermodynamic constraints, represents a transformative milestone in human technological evolution.
By leveraging AI, robotics, and advanced energy systems, this ecosystem could achieve near closed loop functionality, producing goods, maintaining itself, and supporting human prosperity with unprecedented efficiency.
The logical progression through advancements in AI, self manufacturing, energy integration, cryptographic security, and scalable autonomy underscores its inevitability, driven by humanity’s relentless progress.
Industry developments, from Tesla’s robotic assembly lines to Apple’s Armor and NASA’s extraterrestrial mining concepts, alongside speculative discourse on platforms like X, provide a roadmap for this future.
By 2050, such a system could redefine economic structures, resource management, and human-machine interactions.
As unforeseen innovations accelerate this trajectory, the sustainable robotic feedback loop stands as a testament to humanity’s capacity to push the boundaries of what is possible, forging a new era of technological and societal advancement.
Listened again and misheard, they don't see the value of ai.
Yeah not about to pop, massively valuable, just starting and revolutionary.
Bitcoin fixes this, study #bitcoin
Anger in UK after stone cross disassembled to create Star of David
Iowa woman celebrates 105th birthday | Take a second to wish her a happy birthday:
https://www.youtube.com/post/UgkxNQ_Kzl5EATpgRtbRmsg1tcqP3g2F6H0F
Alan Watts on the Game of Life and How to Play It
Tom Lee: #Bitcoin to $16 TRILLION market cap
Hot take: Health care is NOT a human right.
“Human rights” as a term has been co-opted by socialists to blur the line between freedom and entitlement to resources.
One is about limiting coercion. The other demands coercion.
https://blossom.primal.net/a692a22bc6c028bf2c70a43105aeee303f0a79ac81fc800c447c81257b04d126.mov
Free markets: advancement through competition makes everything cheaper forever
Free markets are only possible with sound money
Healthcare would be getting cheaper, trending to free and better forever.
Study #bitcoin
Jeff Booth: How Deflation and AI Will Create Abundance
https://www.youtube.com/shorts/EbKtnZEpctg
Why Deflation is the Key to Abundance with Jeff Booth
https://www.youtube.com/watch?v=G2vAm2hfW9U
nostr:nevent1qqstj2k30gqa0e9qazlrr9wm2u5pns3020x8xrju8styzm8m65n0qycpp4mhxue69uhkummn9ekx7mqg5aspu
Bitcoin fixes this, study #bitcoin
EPSTEIN MAXWELL HIDDEN DOCUMENTARY
If I paid for you to go to a cabin in the woods for a week, what creative project would you work on?
Free flowing spontaneous thought, record anything compelling, feed emergent interests and maybe music
UTXOs are just transaction containers, not the units of value; fungibility's about market agreement on satoshis' interchangeability, not niche preferences or KYC, which Mises would call external distortions, not a failure of fungibility.
Fungibility’s not up for debate or anyone’s whim-it’s an inherent property of money, emerging from market agreement on equal value, per all credible economists including Mises and Hayek.
Your examples of virgin coins and trade history checks don't break Bitcoin's fungibility satoshis remain equal in market value, like dollars despite serial number tracking, per Mises and Hayek.
UTXOs are just transaction containers, not the units of value; fungibility's about market agreement on satoshis' interchangeability, not niche preferences or KYC, which Mises would call external distortions, not a failure of fungibility.
Fungibility’s not up for debate or anyone’s whim-it’s an inherent property of money, emerging from market agreement on equal value, per all credible economists including Mises and Hayek.
Starting with a variety of notable economists, then to a variety of other credible sources, present day and all the way back to the inception of the term, showing universal, unanimous disagreement with your idea of fungibility.
For the Statists out there, even Paul Krugman has touched on fungibility indirectly in his writings on currency, like in his 1999 book The Return of Depression Economics, noting that money’s interchangeability is what makes it function, regardless of regulatory barriers.
Similarly, Friedrich Hayek, in The Denationalisation of Money from 1976, argues that money’s fungibility stems from its role as a medium of exchange, not from state mandates, even suggesting private currencies can be fungible without government involvement.
Murray Rothbard, in his 1962 book Man, Economy, and State, emphasizes that money’s fungibility comes from its uniform value in trade, a market-driven trait, not something governments can redefine.
He sees it as a natural outcome of people treating units as equal.
Milton Friedman, in his 1960 A Program for Monetary Stability, notes money’s interchangeability as key to its function, separate from government restrictions like capital controls.
Ludwig von Mises, in his 1912 work The Theory of Money and Credit, describes money’s fungibility as a core trait, where each unit is interchangeable because of its uniform value in exchange, independent of external restrictions.
He specifically to the market’s acceptance, not government authority.
William Stanley Jevons in his 1875 book Money and the Mechanism of Exchange.
He uses the term explicitly when describing money’s properties, noting its fungibility as the quality that makes one unit interchangeable with another, emphasizing its role in trade.
Carl Menger, in his 1871 book Principles of Economics, further laid the groundwork by discussing how money’s value comes from its uniform acceptance in trade.
In Principles of Economics, Menger describes money’s role as a fungible good because each unit is accepted as equivalent, based on its utility in exchange, not state control.
Adam Smith in The Wealth of Nations (1776) indirectly touched on fungibility when describing money’s role as a universal medium of exchange, where units are interchangeable.
In late 19th century legal/economic discussions, such as those in Black’s Law Dictionary (first published 1891), which defines fungible goods as interchangeable, like money or commodities.
And in 18th-century English law, fungibility described goods where one unit is interchangeable with another, such as grain or money. It was often tied to commodities.
The term itself, derived from the Latin fungibilis (meaning substitutable), was used in legal texts as early as the 17th century to describe interchangeable goods, like grain or coins, and likely entered economics from there.
A 2018 ResearchGate paper and FasterCapital’s 2024 article reinforces this, emphasizing fungibility’s basis in rational indifference to swapping equal units.
The consensus is rock solid across the board, fungibility is about units being interchangeable with equal value, as defined by market behavior, not government decrees.
Not even government affiliated sources, like economic textbooks or a central bank publication, like those from the Federal Reserve or IMF, claims fungibility stems from state control; they focus on legal tender or regulation affecting circulation, which is a separate issue.
There is no credible professional, economist, institution, or government source that contradicts the definition of fungibility as an inherent economic property tied to market acceptance rather than government control.
Dictionaries, institutions, financial education websites written by experts, even wikipedia, institutions and economists including those backed by the government universally define money’s fungibility as its inherent interchangeability, and specifically not something governments or anyone can dictate.
It’s about market value, not legal status or any other group or individuals imposed restraint.
If you reject a dollar at a farmers market because you don't like its history, like where it came from, that's your subjective choice, but it doesn't make dollars non fungible.
If the entire farmer’s market rejects a dollar, like all $1 bills, because they suspect counterfeits or prefer $5s, those dollars remain fungible among themselves. One $1 bill is still worth another $1 bill in any market that accepts them, (per economists, institutions and textbooks) because fungibility is about equal value in exchange, not universal acceptance.
Their rejection is a localized market choice, like shops refusing torn bills, it doesn’t break the inherent interchangeability of dollars. Your claim that any rejection (like UTXOs) ends fungibility or makes the money not fungible, is absurd.
Fungibility is about the market treating one dollar as equal to another in value, (per all credible sources), not about everyone accepting every bill.
All credible sources disagree with your claim that if anyone can differentiate between two units of equal value and refuse one for any reason, they're not fungible.
Fungibility is about the market treating units like satoshis as equal in value, not every individual accepting them.
Your definition absurdly implies nothing's fungible if a single person rejects a unit, which dodges the economic reality of market driven equivalence.
if they can differentiate between UTXOs it is not fungibile.
they can, so its not. one is NOT "as good as another" because reputation is also transfered due to a known history.
known difference, not fungible.
that's all.
thank you responding to the point under discussion
and NOT just posting a page of AI slop that reiterates the Bitcoin Standard
That's not what fungible means. Fungible means one is as good as the other, like cash, you can give anyone any dollar, hence it's fungible. Regardless of serial numbers or bar codes.
That doesnt mean the state cant track dollars or arbitrarily withold certain dollars. They will try and have tried with all forms of money.
Because they try to make bitcoin non fungible does not make bitcoin non fungible.
Part of the reason bitcoin is revolutionary is because it defunds oppression and arbitrary, forced state overreach. Its an important point and relevant
#Bitcoin as a Weapons System | The Jason Lowery Series | Episode 3 (WiM134)
We see #bitcoin as digital capital, says Strategy's Michael Saylor
Nik Bhatia welcomes Bitcoin anthropologist Natalie Smolenski to explore the profound connection between #Bitcoin, human liberty, and peaceful society through an anthropological lens.
Natalie unveils how the historical relationship between money and state has shaped human cooperation, and why Bitcoin represents a transformative technology of peace.
They examine the evolution of monetary systems, Bitcoin's unique position as a jurisdictional commodity money, and its potential to reduce societal violence through voluntary exchange.
Together, they chart a vision for how Bitcoin's technological revolution can reignite the human spirit of liberty and peaceful cooperation in an increasingly divided world.