#BSV (Bitcoin SV) создан именно для дешёвых и масштабируемых микроплатежей и приложений. Комиссии за транзакции здесь крайне низкие (fractions of a cent, часто 0.0001–0.001 USD за обычную операцию), и они не расту�� с объёмом сети, а скорее падают при высокой нагрузке.
👋@techleadhd see the BitcoinSV, mining rewards consist of two elements: block reward & transaction fees paid by users.
The BSV script allows developers to use alternative signature schemes (such as Lamport signatures or hash-based schemes) that are resistant to quantum attacks.
The Next Chapter For Real Bitcoin (SV) – Price Scenarios 2026–2028
We are entering one of the most asymmetric opportunities in crypto history.
Here’s a realistic breakdown:
• Base Case → $500 – $1,500 (high probability)
• Moderate** → $3,000 – $8,000 (medium probability)
• Optimistic → $15,000 – $50,000+ (low probability)
• Extreme → $100,000+ (very low probability)
Why this makes sense?
The current price does not reflect the real technology: Teranode (>1.1 million TPS), unlimited blocks, fees in fractions of a cent, and genuine on-chain utility. 📈
The biggest asymmetry in the entire market is right now — as @CsTominaga has consistently emphasized for years.
Get ready.
On Monday I will publish a detailed analysis of each scenario.
The storm is coming. 💥
#RealBitcoin #BitcoinSV #BSV #FunctionalUtility #AsymmetricOpportunity
The Machine That Cannot Know
Most of what people call “AI intelligence” is a grammatical parlour trick.
The system is fluent. It is often persuasive. It can sound like it “knows.” But it doesn’t. It produces syntax—tokens arranged into statistically likely sequences—without semantics—without understanding, reference, or accountability to reality.
That distinction isn’t philosophy-club trivia. It is now an institutional fault line.
The essay argues that large language models are the modern Chinese Room: fast, huge, and still empty of comprehension. They can generate legal memos, medical summaries, policy briefs, and “research” that looks correct. But they cannot verify truth, because they have no access to truth—only to patterns in training data. That is why “hallucinations” aren’t a bug; they’re a predictable outcome of a system that optimises plausible text, not grounded knowledge.
And that brings us straight to Hayek.
Hayek’s knowledge problem was never “we need more computing.” It was always: the relevant knowledge for coordination is dispersed, tacit, contextual, and often not articulable—knowledge of time and place, of lived practice, of embodied judgement. The essay connects this directly to what AI systems cannot do: they cannot acquire tacit knowledge, they struggle with edge cases and thin data, and they cannot generate the kind of abductive leaps humans use when the map is incomplete.
So the question is not: “Can AI write?” It can.
The question is: “Can AI know?” It cannot. Not in the way institutions require when decisions have consequences.
That’s the pivot: if AI-generated content floods the information environment, the real problem becomes provenance—traceability, integrity, auditability. Not prophecy. Not vibes. Not “trust the model.”
If you care about law, science, markets, governance, or journalism, you should care about this: a world of syntactically perfect text without semantic grounding is a world that demands verification infrastructure—systems that can show where claims came from and what process checked them.
Essay: “The Machine That Cannot Know: Why AI Will Never Solve the Knowledge Problem.”
https://t.co/SVviDFFPZ8
You can’t build on shifting sand.
BTC changes the rules.
ETH reinvents itself quarterly.
BSV?
The protocol is locked.
Like TCP/IP. Like law. Like truth.
They call it evolution.
We call it entropy.
Bitcoin was built as a digital cash system.
Not a consensus experiment.
Not a speculative Ponzi.
Not a roadmap to nowhere.
Teranode’s massive scalability gives AI the perfect foundation to thrive on real-time data flows. Together, they unlock limitless microtransactions and intelligent automation for global business and everyday life.
The real Trojan horse isn’t stablecoins — it’s the deliberate hobbling of BTC. Limited scaling, five transactions per second, and a network you can’t actually use. That’s the trap. You’ve already built a system where the only way forward is through exchanges and banks wrapping it all up and selling it back as “Bitcoin.” Stop the bait-and-switch and admit it: without scaling, it’s not digital cash, it’s digital fiat.
A week or so ago I posted about how in the time of AI an obvious application of timestamping is camera feeds. But like a lot of applications of blockchain a key problem is how do you convince real people/business owners they need it. They kind of don't really.