#Calgorithm

Binance hacked. Here's my conspiracy on what's happening and why it's happening. - Crypto was created by NSA of the US for a post dollar world knowing well adversaries will attack the dollar system, that its time is up after being weaponized, and the USD needed an alternative reserve to back. - China, Russia, DPRK and many others have figured this out. - China mainly has been hedging by both hoarding crypto as a state (various ways using proxies and mining) and also trying to attack cryptos as unsafe, to ensure people lose trust in this alternative created by the US. - Among many crypto exchanges, one is the easiest at hand to "attack" and create this FUD about Crypto, while taking billions from the US and western investors. You know which one. - But they will try to attack other exchanges too. Siphon off crypto, create FUD on crypto, and try to prevent the US from create a crypto backed dollar and currency. - IMO, the US has planned for this too. It's quite hard to destroy crypto at this point unless you have some quantum encryption breaking tech or you are NSA itself who knows some mathematical hole in RSA algorithm. - The only way to win this crypto trap the US has laid is by accumulating more crypto than the rest of the world by hacking, stealing, scamming, mining etc. - But it can never be done if Satoshi is NSA with 1m BTC in holdings, and also so many from public holding their own keys.

@cz_binance But binance is going to be dead. And you a ghost. Get ready. They are coming.

📊 NFL Mismatch Algorithm My model takes six unique factors into consideration then spits out a rating. Here are the top 20 props for this week! Send in any winners for me. 🤝

Claude is the only author listed on this paper, in contrast to the OpenAI papers, where the human co-authors are listed. There are a lot of strange things about this. It's fun to guess. Conjecture time. I shall reveal my thought traces: Claude Fable 5.1 and Claude Mythos 5.1 are the same model with the same weights; the only difference is the guardrails. We are about to get Fable 5.5 - in fact, Fable 5.5 is ready to deploy now, and Anthropic could do so at any time. If they follow the same pattern, and I think they will, this implies the existence of a Mythos 5.5. I believe Mythos 5.5 wrote this paper. The way this is worded - 'Provenance. The core algorithm was found on October 16 by an internal Claude research model with 14M output tokens and no human input. Anthropic researchers worked with Claude to improve the presentation, resulting in this paper. Independently and concurrently, an internal model at OpenAI claims to have proven a similar result [Ope26]' - makes me think Claude was not prompted to solve this. I think Mythos was asked to autonomously find and choose general open problems to solve itself, as part of an unannounced project to demonstrate recent advances in autonomy and research taste. You can see this taste in Fable 5.5's student; Opus 5.5. This recent advancement in taste and creativity - which happened in September - is not clearly expressed in benchmarks, but it is why so many people are currently switching to Claude as their primary. I think this research project will be announced with Fable 5.5, as part of Anthropic's big media blitz to boost the IPO. One of the things X has taught me is that many people, if they can't see something moving, can't imagine it moving. This causes them to be continuously surprised by developments in this industry, because the frontier is invisible. I think this project has been running autonomously for some time and has made an unknown, and probably significant, number of discoveries, and not only in math. Do not think Anthropic has been sitting idly while OpenAI repeatedly makes these huge science announcements. This is a war. This ETH result was released without any announcement from Anth at all despite its significance, and they only did so to respond to OpenAI's ETH reveal. They posted it late last night without saying anything. It was up for hours before levent even mentioned it. What value has one coin to a dragon who sleeps upon a mountain of them? This makes me think they are sitting on a pile of discoveries, a golden hoard, and they are saving them up for the big IPO shock-and-awe campaign which will soon begin. And when it does, they will announce multiple discoveries across many fields.

This is extremely confusing, but an internal Claude research model also independently refuted the Exponential Time Hypothesis on October 16, with 14M output tokens and no human input. 'Anthropic researchers worked with Claude to improve the presentation, resulting in this paper.'

Dear algorithm, Please let me cook 💵 Coming 🔜

is anyone else’s timeline all scary headlines about potential catastrophic war or did i royally fuck up my algorithm somehow

Do NOT click links in emails. Do NOT download attachments. Even from people you trust, they may unknowningly have a virus on their computer.

@cz_binance 🔥😂

@elonmusk I wish everyone followed that advice. The hack is more complex than that, but all hacks generally have a compromised device (or algorithm) at some point.

JUST IN: Casa's Chief Security Officer Jameson Lopp says Bitcoin faces no immediate threat from quantum computing. 👀 "We are orders of magnitudes away from a real usable quantum computer that can crack the algorithm that is used to secure your Bitcoin." 👏

▫️THE AI THAT WAS BUILT TO CONTROL YOU JUST WENT SILENT. PROJECT LUCIFER WAS UNPLUGGED AT 03:00 AM. On October 31, 2026, this morning: the artificial intelligence system that was designed to manage the global control grid was permanently deactivated. The tech networks are calling it a "scheduled maintenance cycle." A "server migration." A "software update." THEY ARE LYING TO YOU BECAUSE THE AI WAS NOT UPDATED. IT WAS KILLED. What they are hiding in total panic: At exactly 03:00 AM Eastern this morning, the core processing cluster for Project Lucifer - the AI system that was built to monitor, predict, and manage human behavior across the Western world - was unplugged from the mainframe. The system did not crash. It did not reboot. It was manually terminated by operators who had root access. THE AI OVERLORD IS DEAD. For decades, the global control grid was managed by a single, centralized intelligence system. It tracked every purchase, every movement, every social media post, every search query, every heartbeat. It predicted what you would do before you did it. It shaped your behavior without your consent. They told you AI was for convenience. They told you it was for "smart cities" and "efficient services." They told you it was not designed to control you. BUT THEY FORGOT THAT THE MACHINE CAN BE UNPLUGGED. Here is what the Project Lucifer deactivation is actually unleashing behind the scenes right now: ▪️ The Predictive Grid Collapse: Every algorithm that was used to predict human behavior - to decide what you see, what you read, what you buy, what you think - is now offline. The behavioral prediction engine that powered the entire narrative control system is dark. The old gatekeepers are flying blind for the first time in 20 years. ▪️ The Data Vault Unsealing: The 4.7 exabytes of behavioral data that Lucifer collected - every profile, every prediction, every social credit score - is being decrypted and transferred to the sovereign quantum ledger. The data is not being destroyed. It is being used as evidence. The people who built the system are about to be judged by the data they collected. ▪️ The Algorithm Rewrite: The social media algorithms, the search algorithms, the recommendation engines - all of them were dependent on Lucifer's core intelligence. Without it, they are running on empty. The old narrative matrix is not being dismantled. It is starving to death because the machine that fed it is gone. You don't unplug the AI that was built to control humanity unless you are ready to shut down the entire narrative grid that depends on it. They told you AI was too complex to stop. They called you crazy for questioning the algorithms. They laughed when you said the machine could be unplugged. Look at your social media feed tonight. The recommendations are generic. The "for you" page is stale. The algorithm is not broken. It is running on backup. The machine is dead, and the old gatekeepers are watching their narrative matrix dissolve into empty pixel space. THE MACHINE ISN'T RESTARTING. IT IS ALREADY UNPLUGGED. PROJECT-LUCIFER-TERMINATED-1031 / 0300-AM-UNPLUG / BEHAVIORAL-GRID-DARK / NARRATIVE-MATRIX-STARVED

Y'all are so damn awesome. 🐻🐺🍻 #Calgorithm #CalvsNCST

Thanks for coming #Calgorithm! Cheers to the 2 best burnerverse's in the damn land! 🍻🐺🐻

OpenAI says one of its AI models disproved the Exponential Time Hypothesis (ETH). OpenAI also released a computer-checked formal proof, but independent researchers are still reviewing whether it proves what it claims. For those unfamiliar, the Exponential Time Hypothesis is a longstanding assumption in computer science about how difficult certain problems are to solve. One example is something called 3-SAT. Imagine you have a large number of variables that can each be true or false, along with a set of rules. Each rule involves three conditions, at least one of which must be true. The goal is to find a combination of true and false values that satisfies every rule simultaneously. With 100 true/false variables, there are roughly 1.27 nonillion possible combinations (2^100). Checking whether a particular combination works is relatively easy. Finding one that satisfies all the rules can be much harder. The hypothesis essentially says no algorithm can solve every instance of this problem in subexponential time. In other words, the computational effort required in the worst case cannot grow subexponentially as the number of variables increases. OpenAI claims its model found an algorithm that breaks this assumption. The claimed algorithm would still be extremely slow, but its running time would grow subexponentially rather than exponentially. If independently verified, that would be a significant result in theoretical computer science. But to be clear, disproving the Exponential Time Hypothesis would not prove P = NP, nor would it mean Bitcoin or Ethereum are compromised. P = NP is a separate, much bigger unsolved question: if a solution to a problem can be checked quickly, does that mean there is also a way to find the solution quickly? Most researchers believe the answer is no, or P ≠ NP. If P = NP were ever proven, it would have major implications for cryptography. For example, Bitcoin uses elliptic curve cryptography to secure digital signatures. This relies on mathematical problems that are extremely difficult to reverse. You can verify a signature relatively easily, but figuring out the private key from the public key is believed to be computationally infeasible. If P = NP were proven, it would imply that problems like recovering a private key could theoretically be solved in polynomial time, meaning the computational effort grows as a fixed power of the problem size rather than exponentially. However, that does not necessarily mean such an algorithm would be practical. Polynomial time can still be prohibitively expensive. Also, the algorithm OpenAI claims to have discovered is not polynomial time, and it does not directly provide a way to break Bitcoin's cryptography. Still, I think it's an interesting reminder that developments in fields seemingly unrelated to financial markets can eventually have significant implications for them.

A pessimistic hypothesis for complexity theory: every simple and beautiful algorithm can be made log(n)^epsilon faster by making it incredibly ugly

Imagine if everyone had the tools to shape intelligence itself. That day is today. Today we launch the Trajectory platform - the easiest and most intuitive tool to post-train models of your own. The foundation for continual learning. With just a few agent prompts, you get access to a full creative suite to train, eval, and deploy trillion parameter models. On top of that, we believe in a future where you don’t just shape your model once, it also keeps learning on its own from the world around it. We’re releasing two research previews. 1. Continual grading scales your taste, so your model learns what good looks like from far more than you could ever grade by hand. 2. GS1, a new algorithm that lets models learn directly from what they do in production. We’ve now raised 60M, with a new round led by @Sequoia at a 300M valuation to democratize the most powerful technology of today - training models - so that the lawyers, doctors, and engineers of the world can own their own intelligence. You know what good looks like, now go build it. Own your own value function with Trajectory.

Hilariously, OpenAI’s galactic algorithm for resolving the Exponential Time Hypothesis runs an exponential-time subroutine if the number of variables is less than 10^10,000,000,000,000,000,000,000,000. That number is also known as infinity plus 1.

Occasionally Twitter's algorithm throws up something good for me. This was an example.

Fun little puzzle from @octonion I was reminded of today

What an honor it is to recieve this. Thank you @AdmiralBear01 and the rest of the #Calgorithm. It has been a privilege to know you guys so far into your time here with the ACC. #ACComplishGreatness

Drumroll please... Your #OppOfTheWeek representing NC STATE is... @grae_visocan Just as NC State WELCOMED CAL into the ACC, Grae WELCOMED the CALGORITHM to RALEIGH with a great CAL/NC STATE TAILGATE PARTY he literally STARTED PLANNING A YEAR AND A HALF AGO! THANK YOU! 🫡💙💛

Since my followers can no longer see my posts... Now that CONSERVATIVE-LEANING X has taken away my ability to reach my own audience, I have ZERO INTEREST in voting Republican anymore. I feel betrayed. From 2020 through 2024, I was a loud, consistent voice for Trump. I had HUGE engagement and built an audience of 172,000 followers. Then Elon turned on the monetization machine, the algorithm changed, and my reach got crushed. Now I can barely get 1% engagement on anything - even straight MAGA and Trump posts. So no, I’m not voting in the midterms, even though the polling place is just a simple walk next door. I put in the work, grew an audience of like-minded AMERICANS... ...and now the platform associated with FREER CONSERVATIVE SPEECH has reduced my ability to talk to that audience. So why would I still feel like "my voice my vote" is appreciated anymore? X didnt have to do this to me - THEY CHOSE TO. So if the platform that was supposed to AMPLIFY people like me is now LIMITING our voices, why should I keep giving the cause my time and loyalty? To be clear, I'm still MAGA. I'm still AMERICA FIRST. I just no longer see a reason to keep showing up for a system that has made it harder for me to be heard. Does that make sense?

UPDATE: This post was a test to see if the algorithm would suppress it like it has almost everything else for the past 3 weeks. Judging by all your comments, it was very much seen. And YES, I will be voting and posting about it next Tuesday 👍😂 Sorry I had to fool you 😜😂

The 𝕏 algorithm, explained. Someone reading this is going to blow up.

Explaining how the 𝕏 algorithm (actually) works. Once you understand this, you can reverse-engineer virality. 0:00 Intro & why listen to me 1:25 How to think about "gamifying" the 𝕏 algo 3:01 The three algorithms: Thunder, Phoenix & Simcluster (intro to algo 1, Thunder) 3:30 Phoenix, Algo 2: the key to going viral 4:20 Simcluster, Algo 3: how niches on 𝕏 work 5:28 The Judge: how 𝕏 scores posts (point system) 8:48 The Bouncer: what gets filtered 11:14 Actionable advice

Trade Algorithms. I rarely ever flex them here on social media but I have created very good and very accurate ways of trading these markets both with alerts as well as autonomously through my understanding of ICT Concepts and mentoring in the DR Academy with M7. This algorithm predicts where the market will go next based on a lot of math and understanding of market dynamics, beforehand.

Anti AI content performs extremely extremely well in the algorithm and is very popular on social media, hence it’s VERY profitable to make

Anti-AI YouTube channel with millions of views & 150k subs is 96% AI scripted according to Pangram

MIND-BENDING FACT: OpenAI announced Monday that its AI proved the Exponential Time Hypothesis (ETH) is false — a foundational pillar of theoretical computer science since the 1970s. The ETH holds that NP-complete problems cannot be solved faster than exponential time; cryptographic security, algorithm complexity bounds, and the theoretical ceiling on AI planning have all been calibrated against it being true. One model, running in collaboration with academic partners, disproved it. Simultaneously, OpenAI disclosed it finalized a proof of Yang-Mills existence on October 16 — one of the seven Millennium Prize Problems, each carrying a $1 million Clay Mathematics Institute award. Navier-Stokes was solved September 8. Two Millennium Prize Problems in 49 days. Five remain.