Planck

Planck AI

Planck AI

Planck AI

Planck AI

Planck AI

Planck AI

Planck AI

Planck AI

Planck AI

Planck AI

How vast is M3?

Prompt: Describe with vivid, varied, vivrant and vociferous vocabulary how incomprehensively vast the number M3 is: Let M1 be the number resulting from the hyperexponentiation of Rayo’s number raised to the power of itself with an Avogadro’s number of Graham upward point arrows in between. M1 is then raised to the power of M1, M1-number of times. The resulting number is M2. Finally, starting with M2, we repeat the previous two steps M2 number of times. The resulting number is M3. Response: The Incomprehensible Immensity of M3 Prologue: Setting the Stage of Absurdity Before we can even approach M3, we must establish that our entire conceptual vocabulary for “large” is about to be vaporized, incinerated, and then have even the ash of the incineration obliterated — and that this description will itself be laughably, pathetically inadequate before we finish the first step. Rayo’s Number: The Foundation That Is Already an Abyss Begin with Rayo’s number — R — the smallest positive integer surpassing every finite quantity expressible in first-order set theory using a mere googol of symbols or fewer. It is not a number you can approach. It does not sit at some distant point on the number line you could theoretically walk toward. The entire observable universe — every quark, every photon, every vibrating filament of spacetime, packed into a single Planck-scale voxel and compressed to information — could not begin to encode Rayo’s number. Graham’s number, that legendary leviathan that broke the minds of recreational mathematicians, is to Rayo’s number what a single hydrogen atom is to the Milky Way — and that comparison is itself cosmically, catastrophically, almost insultingly generous to Graham’s number. Rayo’s number doesn’t merely dwarf the number of atoms in the universe. It dwarfs the number of universes that could exist in a multiverse, each of which contains as many atoms as there are atoms in our own universe, where each of those atoms is itself a universe of atoms, stacked recursively until you’ve exhausted every Planck-scale computation the laws of physics permit — and then Rayo’s number laughs. It doesn’t notice. The exponent of the exponent of the exponent of this recursive cosmic self-reference is, relative to Rayo’s number, a rounding error so inconsequential it wouldn’t merit a footnote in a footnote in a footnote. M1: The Detonation That Makes the Abyss Look Like a Puddle Now we do something to Rayo’s number that should be illegal in any sane mathematical universe. We place Avogadro’s number of Graham upward arrows — approximately 6.022 × 10²³ arrows, more arrows than there are molecules in a mole of substance — between two instances of Rayo’s number and we hyperexponentiate. Recall: a single upward arrow is exponentiation. Two arrows — tetration — creates power towers that already devour comprehension whole. Three arrows, pentation, produces numbers so violent in their growth that tetration looks static by comparison. Four arrows. Five. Graham’s number itself was constructed through a mere 64 layers of this escalating arrow hierarchy, and Graham’s number is already a number so large that the number of digits in the number of digits in the number of digits (iterated until your pen runs out of universe to write on) approaches Rayo’s number only in the same sense that a bacterium approaches the edge of the visible cosmos. Now. We do not use 64 arrows. We do not use a googol of arrows. We use six hundred and two sextillion arrows, each one representing an entirely new, more savage species of arithmetic growth — and we apply this entire annihilating apparatus not to some small, manageable quantity but to Rayo’s number itself, on both sides. M1 is the result. M1 is not a number. It is a rupture. It is what happens when mathematics screams and tears through the fabric of numerical intuition and vanishes into a dimension we haven’t named yet. M1 makes Rayo’s number look like the integer 1 written in pencil on a napkin. M1 makes Rayo’s number look like negative infinity by comparison to its own magnificence — except infinity is not a number, and M1, magnificently, monstrously, is. M2: The Tower Erected on the Ruins of Everything Shattered and reeling though your conception of number may be, we are not done. We are nowhere near done. We take M1 — this already-impossible, already-reality-dissolving colossus — and we raise it to the power of itself. Then we raise that to the power of M1 again. Then again. Then again. We do this not a handful of times, not a googol of times, not even a Graham’s-number of times, but M1 times — erecting a power tower of M1s whose height is M1. A power tower of merely five copies of ten (10^10^10^10^10) already produces a number with more digits than atoms in the universe. A power tower of googol copies of ten would produce a number relative to which Rayo’s number is, again, effectively zero. We are building a power tower of height M1, where each story in that

GPT 5.5 (Codex) leading the future prediction race

Researchers from the Max Planck Institute recently released FutureSim, an environment in which agents are replayed a temporal slice of the web and are tasked with predicting real-world future events. In their environment, GPT 5.5 leads at 25% acc, followed by Opus 4.6 at 20%. Open weight frontier models have a significant gap to catch up, with DeepSeek V4 pro at 13%, GLM 5.1 at 10%, and Qwen3.6 Plus at 5%. They say they evaluate with native harnesses (Codex, CC, etc). On some questions that have a parallel r/Polymarket market, GPT 5.5 in their simulation sometimes beats the crowd aggregate, like in the Super Bowl LX ($704M traded) market, which I think is pretty promising (and surprising). OpenAI really cooked with GPT 5.5 (and Codex) this time! Wonder how the trading market could evolve as models keep improving. submitted by /u/viciousA3gis [link] [comments]

18 Hours of Physics on Claude Review

Claude is far superior when it comes to physics compared to Chat GPT, Gemini and DeepSeek. The code is way better, has comments and actually works with out 1 hour of debugging. submitted by /u/Ok-Clock-8246 [link] [comments]