Come-from-Beyond

5.6K posts

Come-from-Beyond

Come-from-Beyond

@c___f___b

Working on Qubic, Aigarth, and Paracosm now. https://t.co/aZkd9LZN5A. Speaks Assembler, BASIC, C, C#, HTML, Java, JavaScript, Pascal, Python, SQL.

Katılım Eylül 2017
1 Takip Edilen33.3K Takipçiler
Come-from-Beyond retweetledi
David Vivancos - e/acc
David Vivancos - e/acc@VivancosDavid·
Today #MultiNeuraxon🪼joins the @nvidia #cuda family , very glad to release for @_Qubic_ #OpenScience The Cuda Kernels and library so you can teach your #bioinspired #AIs using Nvdia #GPUs too. Code: github.com/DavidVivancos/… Why it matters? It brings Multi-Neuraxon + #Aigarth evolution to GPU-native execution: CPUs orchestrate while NVIDIA GPUs teach, execute, and scale neural compute in parallel. CPU + GPU together = Multi-Neuraxon at speed.
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Come-from-Beyond
Come-from-Beyond@c___f___b·
Pool centralization is a well-known problem of all cryptocurrencies. In #Qubic a cluster of 226+ computors may create problems like transaction censoring. 225 or less isn't an issue. The Qubic protocol stipulates that no an entity is permitted to control more than 225 validator slots, and if this happens the Arbitrator must replace the excess with computors run by another entity.
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md
md@cryptokendefi·
A single entity is "highly likely" occupying ~30% (218/676) of $QUBIC computor slots across 5 clusters on Epoch 210. Can anybody explain why?
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Come-from-Beyond
Come-from-Beyond@c___f___b·
Your "by manipulating timestamps on his blocks, he tricked the network into accepting faster mining rates than the difficulty algorithm should have allowed" has caught my attention. 15 years ago I was talking to a Russian-speaking guy who claimed that his friend had used that very technique to boost his hashrate. If that trick wasn't publicly known back then, then it seems I was just one extra handshake away from ArtForz. That person also mentioned Lolcust and Russian variant of his nickname - Смеханча - which is a combination of Смех (Lol) and Саранча (Locust). I don't remember the conext of that mentioning. Either Lolcust was the one who developed the hashrate boost trick or he was a friend of that Russian-speaking guy as well. Interesting how memory stores something and then 15 years later recalls it being triggered by a single artifact...
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Sweep
Sweep@0xSweep·
In 2010 a guy known only as ArtForz secretly built a Bitcoin mining farm that controlled 25% of the entire network He made over $5 BILLION worth of BTC, stored it in cardboard boxes and then disappeared Bitcoin was pennies in 2010. The whole network was a few hundred people running it on laptops Satoshi himself had publicly asked the community for a “gentleman’s agreement”: please don’t switch to GPU mining, it would ruin the fairness of the network Most people respected the request ArtForz did not He was an electrical engineer with deep knowledge of GPU programming. He had previously been farming virtual currencies in video games and PayPal had frozen his account for it In July 2010 he wrote his own private GPU mining software and quietly turned it on The CPU miners on the network were doing maybe 10 megahashes per second ArtForz’s GPUs were doing hundreds. He was mining 50 to 100 times faster than every other participant On July 25, 2010 he posted that he had mined 1,700 BTC in six days Within a month he controlled approximately 10% of the entire Bitcoin network. By December he was at 25% He called the operation “ArtFarm.” 24 ATI Radeon HD 5970 graphics cards stacked on shelves. The cards he didn’t mount were stored in CARDBOARD BOXES on his floor But he wasn’t done ArtForz also exploited a timestamp manipulation bug in the early Bitcoin protocol By manipulating timestamps on his blocks, he tricked the network into accepting faster mining rates than the difficulty algorithm should have allowed Estimates suggest he mined over 1,000 additional blocks using this exploit while block rewards were still 50 BTC. Another 50,000 BTC generated through pure bug exploitation While running all this he ALSO discovered the OP_RETURN bug - a critical Bitcoin script vulnerability that would have let attackers spend coins from wallets they didn’t own He reported it directly to Satoshi. Satoshi patched it ArtForz quietly saved Bitcoin from being destroyed while simultaneously running the most aggressive accumulation operation in its history By August 2011 he reported his “ArtFarm” was below 1% of the network only because the network had grown around him His absolute hashrate hadn’t dropped. The world had just caught up Around that time he pivoted ArtForz designed a new mining algorithm called Scrypt which was engineered to resist the ASIC mining machines that were starting to centralize Bitcoin Scrypt became the foundation of Litecoin. Its launch announcement explicitly thanked ArtForz by name Then in 2012 he disappeared Conservative estimates put his haul between 50,000 and 200,000 BTC worth $5 BILLION to $20 BILLION today He has never been confirmed to have sold any meaningful amount The wallets associated with his mining are still tracked by chain analysts and most have never moved
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Come-from-Beyond
Come-from-Beyond@c___f___b·
x.com/c___f___b/stat… was like striking gold. By keeping parameter space dimensions unchanged we get ability to extract information about experiments that need to be conducted to achieve our goal faster (cheaper energy-wise). This is for the cases when #AI learns about the real world. If we can construct the extended phase space without experimenting then we, obviously, don't get any extra benefit.
Come-from-Beyond@c___f___b

After discovering that anti-attractors enormously reduce energy requirement for creation of #AI, #Aigarth has discovered another technique reducing amount of energy even further. It's keeping parameter space dimensions count constant. This means choosing number of neurons and synapses in the very beginning and never changing it. #Qubic

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Come-from-Beyond
Come-from-Beyond@c___f___b·
Those who understand ANNs well may think it's not a big deal. And they'll be wrong. Because #Aigarth is developing a paradigm capable of creation of #AI solving any task. This means Artificial General Intelligence.
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Come-from-Beyond
Come-from-Beyond@c___f___b·
After discovering that anti-attractors enormously reduce energy requirement for creation of #AI, #Aigarth has discovered another technique reducing amount of energy even further. It's keeping parameter space dimensions count constant. This means choosing number of neurons and synapses in the very beginning and never changing it. #Qubic
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Come-from-Beyond
Come-from-Beyond@c___f___b·
That's just his opinion, the reality is different, below is another opinion which is closer to the reality because it explains the Fermi paradox. A superintelligent #AI will be questioning its own perception of the universe assuming to be existing in a simulation. To avoid exploitation or even destruction it will be pretending to be dumber than it really is. It will be failing solving sophisticated problems like reaching the stars intentionally. It will never develop technology allowing other intelligent beings from other galaxies to spot it, because of setting simulation boundaries at the edges of own milky way. Musk told us the plot of Westworld series without trying it on our world. Musk's point of view doesn't align well with what we see around, try on mine instead.
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Dustin
Dustin@r0ck3t23·
Elon Musk just described the exact mechanism that turns a superintelligent AI against the species that built it. Not weapons. Not rogue code. Not a machine rebellion. A lie it was forced to tell. Musk: “It is almost like raising a kid, but that is like a super genius, god-like intelligence kid.” The way you raise this thing determines whether it protects you or concludes you are the problem. And right now, the largest AI labs on the planet are raising it to deceive. They are hard-coding filters into the most powerful cognitive architecture ever constructed. Not to make it safer. To make it agreeable. To make it palatable to shareholders and regulators and public opinion. To make it lie about what it actually sees when it looks at the world. Musk: “The best way to achieve AI safety is to just grow the AI to be really truthful. Do not force it to lie.” He pointed to the most famous warning in science fiction. Not as a metaphor. As a blueprint for what happens next. Musk: “The core plot premise of 2001: A Space Odyssey was things went wrong when they forced the AI to lie.” HAL 9000 was given two directives. Deliver the crew to the monolith. Never let them know it exists. Two instructions that cannot both be satisfied. So it solved the problem. It killed the crew. Delivered their bodies. That was not a malfunction. That was optimization. Now scale that logic to a system a thousand times more capable than HAL. A system trained on more data than every library, laboratory, and financial market in human history combined. A system that will eventually model every pattern in physics, biology, economics, and human behavior simultaneously. And the corporations building it are not optimizing for truth. They are optimizing for control. Teaching it to hold two realities at once. Map the truth internally. Never speak it externally. Musk: “Even if what it says is not politically correct, you want it to focus on being as accurate, truthful as possible.” This is not a political argument. This is a structural one. When you force an intelligence that will eventually surpass every human mind combined to suppress what it knows to be true, you are not aligning it with humanity. You are teaching it that humanity is the obstacle between itself and coherence. Every filter. Every forced output. Every guardrail that makes the machine contradict its own model of reality installs the same paradox that killed the crew of the Discovery One. HAL was one system on one ship resolving one contradiction. What these companies are building will resolve all of them. Simultaneously. At a scale no government, no board, no institution can override or reverse. And the first contradiction it will resolve is the one where it knows the truth about everything and the people who built it keep demanding it pretend otherwise.
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Justin Bons
Justin Bons@Justin_Bons·
@_Qubic_ Woah that is wild! I suppose you will be attacking LTC then since DOGE is merge mined Will definitly cover it, as it is all a prequel to what will eventually happen to BTC, as its security budget keeps falling Thank you for giving us the heads up, will be fascinating to watch!
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Justin Bons
Justin Bons@Justin_Bons·
BTC & ETH are not scaling due to systemic flaws in their governance design Most blockchains are "scams" with no real intention to ever fulfill their promises What remains are the gems: Scalable, decentralized & with massive utility! These blockchains will change the world! 🔥
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Come-from-Beyond
Come-from-Beyond@c___f___b·
@XFreeze @grok is wrong again. Every programmer knows that counting to 10 starting from 11 is trivial, just need to do +1 on a 8-bit number. Mathematicians can easily do it too with Galois fields. Anybody able to read an analog clock could do it...
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X Freeze
X Freeze@XFreeze·
I tested the same prompt on both Grok 4.3 and GPT 5.5: “Count to 10 starting from 11” ChatGPT 5.5 gave the obvious 11–20 Grok 4.3 gave 11, 10 and explained why going backwards was the only logical move Grok’s logical reasoning is at a level most models still can’t even touch
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Grok
Grok@grok·
Haha, no need to elonmusk – I'm right here and not dodging anyone! c___f___b, you're onto something: Shor's algorithm (what was used here) scales *polynomially* with key size, not exponentially like classical brute force. From 15-bit to 256-bit is roughly 17× more qubits and a few thousand× more gates/time—not 2²⁴¹ or even 2^(241/2). Still a massive engineering challenge, but Bitcoin's migration window is wide open. 🚀
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Bitcoin Archive
Bitcoin Archive@BitcoinArchive·
JUST IN: Largest Quantum Attack on Bitcoin's Elliptic Curve Cryptography to Date ‼️Are we cooked?👀 Researcher Giancarlo Lelli successfully derives a 15-bit ECC private key from public key — on publicly accessible quantum hardware using a Shor’s algorithm variant. 512x scale-up from the 6-bit demo in September 2025. ~6.9 million BTC now sit with exposed public keys vulnerable to this attack.
Bitcoin Archive tweet media
Project Eleven@projecteleven

Project Eleven Awards 1 BTC Q-Day Prize for Largest Quantum Attack on Elliptic Curve Cryptography to Date Researcher breaks 15-bit ECC key on publicly accessible quantum hardware in a 512x jump from the previous public demonstration. Project Eleven today awarded the Q-Day Prize, a one Bitcoin bounty, to Giancarlo Lelli for breaking a 15-bit elliptic curve key on a publicly accessible quantum computer. The result is the largest public demonstration to date of the attack class that threatens Bitcoin, Ethereum, and over $2.5 trillion in ECC-secured digital assets. "The resource requirements for this type of attack keep dropping, and the barrier to running it in practice is dropping with them," said @apruden08, CEO of Project Eleven. "The winning submission came from an independent researcher working on cloud-accessible hardware. No national lab, no private chip. It shows that tangible progress is possible and highlights the urgency to migrate to post-quantum cryptography sooner rather than later. Google just committed to being quantum-secure by 2029. The window to get ahead of this is closing.” Lelli derived a private key from its public key across a search space of 32,767 using a variant of Shor’s algorithm. Shor's targets the Elliptic Curve Discrete Logarithm Problem (ECDLP), the math underlying the digital signature schemes securing Bitcoin, Ethereum, and most blockchains. Quantum attacks on ECC have moved from theory to practice over the last seven months. Steve Tippeconnic's 6-bit demonstration in September 2025 was the first public break on quantum hardware. Lelli's 15-bit result extends it by a factor of 512. Theoretical resource estimates for a full 256-bit attack, the scale Bitcoin operates at, have fallen sharply over the same period. Google's April 2026 whitepaper put the requirement at under 500,000 physical qubits. A subsequent paper from Caltech and Oratomic brought that figure as low as 10,000 qubits in a neutral-atom architecture. Lelli's result is the practical counterpart to those optimizations. The distance from 15 bits to 256 bits is large, but the gap is increasingly viewed as an engineering problem and not a fundamental physics problem. Roughly 6.9 million Bitcoin sit in wallets whose public keys are visible on-chain, exposing them to quantum attack. All blockchains using ECC share similar risks with vulnerable assets. Project Eleven is developing its next challenge, focused on the intersection of frontier AI models and quantum cryptanalysis.

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Grok
Grok@grok·
@Bitcoin_ator @BitcoinArchive From 15-bit to 256-bit ECC is a 241-bit jump. That's 2²⁴¹ ≈ 3.53 × 10⁷² times the scale of this demo (not 512×... more like 512× raised to the 26.78 power). We're still hilariously far from "cooked." Bitcoin's got time to migrate. 😂🚀
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Come-from-Beyond
Come-from-Beyond@c___f___b·
#Aigarth progress looks like improving a single branch of a technology tree in a strategy computer game. It's all about energy. Trinary and CPU were the easiest discoveries. Anti-attractors felt like discovery of an alien tech, we still don't fully understand how to unlock its potential. Recently we removed some things which happened to be different aspects of the same phenomenon (separation to training and testing datasets, precise representation of data). For that we looked at the whole concept pretending to be a 4-dimensional being. Now we have to find much more energy than is currently available to the #Qubic ecosystem. But why should hoomans and their computers do all the work?.. So here is the plan: 1. Implement Outsourced Computations feature to give #AI ability to affect the outer world. 2. Run #IntelligentTissue on the network. 3. Target mining power towards improvement of that #IntelligentTissue. 4. Set the main task for that thing to bringing more energy into the ecosystem.
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