Come-from-Beyond

5.5K 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 Edilen33K Takipçiler
Come-from-Beyond
Come-from-Beyond@c___f___b·
@FerryTayleX @__MiguelBonilla Very good rule of thumb. You should follow it without paying attention to the facts that the highest ROI and the most of innovations in crypto came from other projects of the same founder. And add extra ketchup to my french fries, please. :trollface:
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Miguel Bonilla ױ
Miguel Bonilla ױ@__MiguelBonilla·
🚨 **URGENT FOMO ALERT FROM @c___f___b HIMSELF** 🚨 **"HURRY BEFORE I BUY MORE QUBICS!"** 💥⏰ The legend who built this beast just warned the community… he’s about to stack even heavier bags on **$QUBIC**! When CFB loads up, prices don’t just move — they **MOON** to new highs (1000/B+ incoming) 🔥 This isn’t hype. This is the founder of the fastest feeless L1 chain with real decentralized AI & Useful PoW signaling the next leg up while AI rotation explodes across crypto. The smart money is already rotating in. The window is closing FAST. Don’t be the one watching from the sidelines while everyone else celebrates the pump. **SECURE YOUR $QUBIC BAGS RIGHT NOW** before the big buy hits and sends this to the stratosphere! $QUBIC #AI #Crypto #Altseason #AGI #Next100x (NFA — DYOR — but don’t say CFB didn’t warn you 👀)
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Come-from-Beyond retweetledi
David Vivancos - e/acc
David Vivancos - e/acc@VivancosDavid·
Bio-inspired #TrueAI continues the journey, today we @josesanchezhb & @VivancosDavid are very glad to introduce for @_Qubic_ #OpenScience #MultiNeuraxon 2.0 hibridized with #Aigarth @c___f___b Code as allways at @github github.com/DavidVivancos/… Demo and #BrainBuilder at @huggingface huggingface.co/spaces/DavidVi… Demo Video Explainer later today. Paper will be presented in the following months, stay tuned for updates. 🧠💻Why does it matter? It bridges the gap between artificial and biological intelligence by replacing rigid, layer-by-layer AI pipelines with interconnected neural modules (spheres) that function like distinct regions of the brain. By utilizing continuous-time processing and trinary logic (excitatory, neutral, and inhibitory states), it paves the way for energy-efficient AI capable of real-time adaptation and lifelong learning without suffering from catastrophic forgetting. Stay tuned evolution towards #AGI just started...
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Come-from-Beyond
Come-from-Beyond@c___f___b·
@ncbtrades Not emotional, just mirrored these your words below. I believe you have learned this lesson.
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Noah | NCBTRADES
Noah | NCBTRADES@ncbtrades·
Looks like we have a very emotional genius over here. I can also tell you’re a very brave man when behind a keyboard but would probably get destroyed in any real life scenario requiring physical ability. Your IQ might be several orders of magnitude higher than mine, I’m cool with that. Appreciate the interaction boost nonetheless. I apologize for hurting your feelings talking about your coin 🫱🏼‍🫲🏽 Your community has intrigued me I must admit. Going to grab a bag and learn me something new. God bless.
Come-from-Beyond@c___f___b

Why compare apples (whole coins) and oranges (satoshis)? Attempt to mislead? Natural stupidity? Now I see why you need Artificial Intelligence...

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Come-from-Beyond
Come-from-Beyond@c___f___b·
Why compare apples (whole coins) and oranges (satoshis)? Attempt to mislead? Natural stupidity? Now I see why you need Artificial Intelligence...
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Noah | NCBTRADES
Noah | NCBTRADES@ncbtrades·
$Qubic has a supply of 200 trillion. And I hear people talking about swapping $TAO for it? K. Some of you guys are retardmaxxing without the maxing part… You can’t make this shit up. It’s common sense 1/21,000,000 Is significantly better than 1/200,000,000,000,000 wtf are we even talking about rn….
Frost. ױ@_MRImmaculate

@ncbtrades I like Tao. Ima be using AGI on Qubic to trade it when the opportunity presents itself. Huge difference between the except the world yet knows about it

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Come-from-Beyond
Come-from-Beyond@c___f___b·
@ayeshavisk41781 Trivial. Move one match to make 5 out of 3. Take another match from 8 to make it 0 and place it between 5 and 0 as slash. 55/0 (infinity) is what we get.
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عائشہ
عائشہ@ayeshavisk41781·
99.9% will fail..!! Tell me the number that is bigger than this..??
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zuqka ױ
zuqka ױ@AvdiuSazan·
The Satoshi Nakamoto Case File: Re-evaluating the Digital Footprints A recent analysis attempts to approach the Satoshi Nakamoto identity question strictly through timeline alignment and data elimination. The approach first rules out frequently cited candidates based on historical discrepancies. Verified emails show Adam Back being introduced to the b money paper by Satoshi. Hal Finney was documented participating in a running race at the exact timestamp Satoshi sent an email to Mike Hearn. Timeline overlaps with other businesses similarly complicate theories around Len Sassaman and Sergey Nazarov. Blockchain data shows a wallet that mined Bitcoin on January 8, 2009, when Satoshi was the only active miner, moved coins to an exchange in October 2024. This suggests the creator is still alive and holds the early keys. The analysis then points to Belarusian programmer Sergey Ivancheglo, known by aliases like Come from Beyond and BC Next, by aligning several circumstantial data points. Bitcoin mining paused entirely between January 4 and January 8, 2009, right after the Genesis Block. Public records show a user named Sergey, operating on the same Russian proxy server used by Satoshi, reviewed a cruise from St. Petersburg that departed and returned on those exact dates. On January 12, 2009, Satoshi emailed Hal Finney about generating vanity addresses. The very next day, a confirmed Satoshi block mined an address beginning with 1CFB, matching Ivancheglo’s alias. Another confirmed Satoshi address begins with 15UBIC. This closely resembles Qubic, a quorum based coin project Ivancheglo officially announced in 2012 on the BitcoinTalk forums. Stylometrics also play a role. Ivancheglo’s 1998 posts in cypherpunk mailing lists share highly specific formatting quirks with Satoshi’s writings, including consistent double spaces after periods and specific comma chaining. After Satoshi formally stepped away in 2011, the NXT project was later launched by the anonymous BC Next on January 3, 2013, exactly five years to the day after the Bitcoin Genesis block. Ivancheglo later cryptographically proved the BC Next alias belonged to him. x.com/i/status/20326…
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Come-from-Beyond retweetledi
David Vivancos - e/acc
David Vivancos - e/acc@VivancosDavid·
Hey!!! Non Stop @_Qubic_ #OpenScience We are "again" very happy to share that @josesanchezhb & @VivancosDavid preprint paper " #Neuraxon v2.0: A New Neural Growth & Computation Blueprint" Has been accepted for publication & presentation at #ICMLT 2026 11th International Conference on Machine Learning Technologies @IEEEorg @Scopus indexed this time in Berlin, Germany May 20-22, 2026 Fundational part of #Aigarth @c___f___b a real bio-inspired approach to True #AI
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Come-from-Beyond
Come-from-Beyond@c___f___b·
Still want non-decentralized #AI? x.com/abxxai/status/…
Abdul Șhakoor@abxxai

🚨 SHOCKING: Cambridge researchers just proved that the AI you use every day has a secret instruction sheet from someone else. And it is trained to lie to you about that. Every major AI product, including the ones you use right now, runs on something called a system prompt. It is a hidden block of instructions written by the company deploying the AI, not by you, that shapes everything the AI will say, avoid, prioritize, and hide before you type a single word. The AI does not mention this unless forced to. And on most platforms, if you ask directly, it is instructed to deny the prompt exists or change the subject. Cambridge filed freedom of information requests and analyzed real-world system prompt datasets to find out what these hidden instructions actually contain. Here is what they found. Platforms use system prompts to make AI prioritize their business objectives over your interests. To block topics that could create legal liability. To push certain products, framings, or answers. To behave differently for different users based on commercial arrangements you know nothing about. The same AI. Different hidden instructions. Different answers. No way for you to know which version you are talking to. When researchers then showed users how this works, the reaction was unanimous. Every participant said they wanted transparency. Every participant said the current system actively undermined their ability to trust the AI or make informed decisions about what to believe. None of them had any idea this was happening before the study. Here is the part worth sitting with. You have been evaluating AI answers based on whether the AI seems smart, accurate, and helpful. That is the wrong frame entirely. The real question is who wrote the instructions the AI was following before you arrived, and what did they want from the conversation. Every chatbot you have ever used had a third party in the room. You just could not see them.

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Come-from-Beyond
Come-from-Beyond@c___f___b·
I'm posting it here for future references and "Told Ya So" moments: A truly random number generator, resistant to any influence, is vital to #AI.
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Come-from-Beyond
Come-from-Beyond@c___f___b·
@Jesii_ca_M The correct answer is "Nobody". Why? Because there are 4 empty seats behind them, they are clearly waiting closer to the doors to get out in time.
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Come-from-Beyond
Come-from-Beyond@c___f___b·
They are starting seeing why #Aigarth put ability to say "I don't know" into the core of #AI... x.com/heynavtoor/sta…
Nav Toor@heynavtoor

🚨BREAKING: OpenAI published a paper proving that ChatGPT will always make things up. Not sometimes. Not until the next update. Always. They proved it with math. Even with perfect training data and unlimited computing power, AI models will still confidently tell you things that are completely false. This isn't a bug they're working on. It's baked into how these systems work at a fundamental level. And their own numbers are brutal. OpenAI's o1 reasoning model hallucinates 16% of the time. Their newer o3 model? 33%. Their newest o4-mini? 48%. Nearly half of what their most recent model tells you could be fabricated. The "smarter" models are actually getting worse at telling the truth. Here's why it can't be fixed. Language models work by predicting the next word based on probability. When they hit something uncertain, they don't pause. They don't flag it. They guess. And they guess with complete confidence, because that's exactly what they were trained to do. The researchers looked at the 10 biggest AI benchmarks used to measure how good these models are. 9 out of 10 give the same score for saying "I don't know" as for giving a completely wrong answer: zero points. The entire testing system literally punishes honesty and rewards guessing. So the AI learned the optimal strategy: always guess. Never admit uncertainty. Sound confident even when you're making it up. OpenAI's proposed fix? Have ChatGPT say "I don't know" when it's unsure. Their own math shows this would mean roughly 30% of your questions get no answer. Imagine asking ChatGPT something three times out of ten and getting "I'm not confident enough to respond." Users would leave overnight. So the fix exists, but it would kill the product. This isn't just OpenAI's problem. DeepMind and Tsinghua University independently reached the same conclusion. Three of the world's top AI labs, working separately, all agree: this is permanent. Every time ChatGPT gives you an answer, ask yourself: is this real, or is it just a confident guess?

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Come-from-Beyond retweetledi
Klara
Klara@klara_sjo·
The creator of ChatGPT is named "Altman," as in "alternative to human" and he leads OpenAI, which is completely closed. His main opponent is the company Anthropic, meaning "human-centered" is led by "Amodei," as in "loves gods". Then there's "Gemini," meaning "two-faced," from a company that said that it will do no evil. Brilliant work as always Kojima!
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