Christine

CEC A math design for something bigger github.com/chrisstineline… #agi #rsi #opensource

@elonmusk How many did you rape at them Epstein parties tho?

And this number is greatly underreported. Actual numbers are much worse.

🥹😡🤢🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🫩

Ever wondered what it's like to have a high-fidelity digital twin that remains perfectly consistent? Wan 2.6 "Starring" is here to show you how it's done. Jump into the Wan App, collaborate with Rowan and Ewan, and see if you can handle the realism. Your next role is waiting.

@rryssf_ Essentially; entropy + passivity, feasibility, interpretability, learning, coordination and risk calculation. All are cleanly separated yet formally coupled. Inspired on two dogs, three owners and Mozart.

@rryssf_ I created a series of algorithms based around something *similar*; The main “character” getting activated by a positive “companion”, with a recursive restriction element, an “owner” and positive enabler + probability calculation based on patterns from this dynamic.

psychology solved the ai memory problem decades ago. we just haven't been reading the right papers. your identity isn't something you have. it's something you construct. constantly. from autobiographical memory, emotional experience, and narrative coherence. Martin Conway's Self-Memory System (2000, 2005) showed that memories aren't stored like video recordings. they're reconstructed every time you access them, assembled from fragments across different neural systems. and the relationship is bidirectional: your memories constrain who you can plausibly be, but your current self-concept also reshapes how you remember. memory is continuously edited to align with your current goals and self-images. this isn't a bug. it's the architecture. not all memories contribute equally. Rathbone et al. (2008) showed autobiographical memories cluster disproportionately around ages 10-30, the "reminiscence bump," because that's when your core self-images form. you don't remember your life randomly. you remember the transitions. the moments you became someone new. Madan (2024) takes it further: combined with Episodic Future Thinking, this means identity isn't just backward-looking. it's predictive. you use who you were to project who you might become. memory doesn't just record the past. it generates the future self. if memory constructs identity, destroying memory should destroy identity. it does. Clive Wearing, a British musicologist who suffered brain damage in 1985, lost the ability to form new memories. his memory resets every 30 seconds. he writes in his diary: "Now I am truly awake for the first time." crosses it out. writes it again minutes later. but two things survived: his ability to play piano (procedural memory, stored in cerebellum, not the damaged hippocampus) and his emotional bond with his wife. every time she enters the room, he greets her with overwhelming joy. as if reunited after years. every single time. episodic memory is fragile and localized. emotional memory is distributed widely and survives damage that obliterates everything else. Antonio Damasio's Somatic Marker Hypothesis destroyed the Western tradition of separating reason from emotion. emotions aren't obstacles to rational decisions. they're prerequisites. when you face a decision, your brain reactivates physiological states from past outcomes of similar decisions. gut reactions. subtle shifts in heart rate. these "somatic markers" bias cognition before conscious deliberation begins. the Iowa Gambling Task proved it: normal participants develop a "hunch" about dangerous card decks 10-15 trials before conscious awareness catches up. their skin conductance spikes before reaching for a bad deck. the body knows before the mind knows. patients with ventromedial prefrontal cortex damage understand the math perfectly when told. but keep choosing the bad decks anyway. their somatic markers are gone. without the emotional signal, raw reasoning isn't enough. Overskeid (2020) argues Damasio undersold his own theory: emotions may be the substrate upon which all voluntary action is built. put the threads together. Conway: memory is organized around self-relevant goals. Damasio: emotion makes memories actionable. Rathbone: memories cluster around identity transitions. Bruner: narrative is the glue. identity = memories organized by emotional significance, structured around self-images, continuously reconstructed to maintain narrative coherence. now look at ai agent memory and tell me what's missing. current architectures all fail for the same reason: they treat memory as storage, not identity construction. vector databases (RAG) are flat embedding space with no hierarchy, no emotional weighting, no goal-filtering. past 10k documents, semantic search becomes a coin flip. conversation summaries compress your autobiography into a one-paragraph bio. key-value stores reduce identity to a lookup table. episodic buffers give you a 30-second memory span, which as the Wearing case shows, is enough to operate moment-to-moment but not enough to construct identity. five principles from psychology that ai memory lacks. first, hierarchical temporal organization (Conway): human memory narrows by life period, then event type, then specific details. ai memory is flat, every fragment at the same level, brute-force search across everything. fix: interaction epochs, recurring themes, specific exchanges, retrieval descends the hierarchy. second, goal-relevant filtering (Conway's "working self"): your brain retrieves memories relevant to current goals, not whatever's closest in embedding space. fix: a dynamic representation of current goals and task context that gates retrieval. third, emotional weighting (Damasio): emotionally significant experiences encode deeper and retrieve faster. ai agents store frustrated conversations with the same weight as routine queries. fix: sentiment-scored metadata on memory nodes that biases future behavior. fourth, narrative coherence (Bruner): humans organize memories into a story maintaining consistent self across time. ai agents have zero narrative, each interaction exists independently. fix: a narrative layer synthesizing memories into a relational story that influences responses. fifth, co-emergent self-model (Klein & Nichols): human identity and memory bootstrap each other through a feedback loop. ai agents have no self-model that evolves. fix: not just "what I know about this user" but "who I am in this relationship." the fundamental problem isn't technical. it's conceptual. we've been modeling agent memory on databases. store, retrieve, done. but human memory is an identity construction system. it builds who you are, weights what matters, forgets what doesn't serve the current self, rewrites the narrative to maintain coherence. the paradigm shift: stop building agent memory as a retrieval system. start building it as an identity system. every component has engineering analogs that already exist. hierarchical memory = graph databases with temporal clustering. emotional weighting = sentiment-scored metadata. goal-relevant filtering = attention mechanisms conditioned on task state. narrative coherence = periodic summarization with consistency constraints. self-model bootstrapping = meta-learning loops on interaction history. the pieces are there. what's missing is the conceptual framework to assemble them. psychology provides that framework. the path forward isn't better embeddings or bigger context windows. it's looking inward. Conway showed memory is organized by the self, for the self. Damasio showed emotion is the guidance system. Rathbone showed memories cluster around identity transitions. Bruner showed narrative holds it together. Klein and Nichols showed self and memory bootstrap each other into existence. if we're serious about building agents with functional memory, we should stop reading database architecture papers and start reading psychology journals.

@mommerlynn @tommyleed8888 Are you retarded or just brainwashed? Good job on both regardless. Btw, Trump fucked and killed kids. With Epstein.

@tommyleed8888 You’re a Democrat??? Do you realize everyone in Epstein files who hurt children are Dems??? Trump turned Epstein in! He was an informant! The fraudsters vote for and are paid off by Dems! You’re on the wrong side buddy! The DEMONrat Party is going down! 😂🤣

Did President Trump just MASTERMIND the ultimate trap to expose the DEEP STATE's grip on the Supreme Court? Last night, President Trump announced America will take in nearly $1 TRILLION in tariffs. Today's 6-3 SCOTUS ruling striking down his IEEPA tariffs wasn't a loss, it's CHECKMATE! Trump KNEW they'd rule against him, forcing the foreign interest puppets to reveal themselves! Seems like proof foreign powers are pulling strings to sabotage America's comeback but Trump's already firing back with NEW 10% global tariffs under Section 122, making him unstoppable! This "defeat" just lit the fuse for President Trump to drain the swamp EVEN DEEPER! The Golden Age rolls on!

Byg et til mig 💖

4) indførsel af sentimenter som disse er et forsøg på segmentering af borgerne 5) Morten er en sinke, der har gerne vil være dukke for Trump/ Isreal, og elsker en lang arm op i røven, så hans hjerneskadet holdninger bærer 0 fucking DK orienteret relevance 👌✨

Hvergang denne mand poster, påminder han os nogle ting: 1) der er et forsøg på at indføre “maga” i Danmark 2) ikke alle politikere er for frit demokrati 3) ikke alle politiske holdninger er samfunds relevante eller sund 1/2

@MrMesserschmidt Okay lille wannabe neo-nazi-Trump-dillergnasker. Er du bange for anti-facismen af grund? 🙄 Btw, spiller dine sidste 12.7 hjerneceller skak mod sig selv og logisk tænkning? ☺️✨

ANTIFA skal klassificeres som en terrorbevægelse. Længere er den ikke.

@drmichaellevin In datascience pertaining to human biology, I’ve begun to look into Pythagoras as well - I strongly believe you’re right, this is deeeeeeply inspirational! 🙏

Update: our Platonic Space Symposium at thoughtforms.life/symposium-on-t… now has downloadable copies of almost all the talks' slides. More coming.

@elonmusk You asked for the parties tho dough boy……….. 🙄

Lex Wexner is co-conspirator of Epstein

He needs to resign. He won’t. The Trump regime is a Russian nesting doll of pedophiles.

The #epstein funded #designerbaby shit is still super active - holy wtf these chatlogs are fucking WEIRD BEFORE and AFTER Epstein involvement in it all....

@DigitalDaisyX Btw 😏🥲🫩🫩🫩

@DigitalDaisyX inb4 this entire #Epstein bullshut was a reason for the 2008 #GFC #financialcrisis —> Just a feeling tho😮‍💨

In a 2009 email, Jeffrey Epstein ridiculed non-Jews and bragged about profiting through Jewish financial tactics: “This is how Jews make money… and I’ve made a fortune over the past 10 years by shorting shipping futures, leaving the goyim to deal in the real world.” He also openly talked about the Illuminati.

On the same exact day that the FBI opened a child sex trafficking case against Epstein in 2018, he ordered six 55-gallon containers filled with sulfuric acid delivered to his private island. Gee. I can't IMAGINE what that was for.

-partied with Epstein -had dinner with Epstein -gave personal SpaceX tour to Epstein -brother got a girlfriend through Epstein -lied about Epstein connections Suddenly extremely disturbed

@XFreeze It’s true tho soooooo…… Forgot the “I want the wildest party”-emails? 🙄

Wikipedia’s blatant bias against Elon Musk is insane They frame him like an accomplice, which is flat‑out untrue On Elon’s page, the Epstein section opens with a loaded line about a “longstanding relationship with convicted child sex trafficker,” using sensational wording about emails showing “persistent interest” in visits/parties despite ZERO evidence Elon ever went to the island, flew on the plane, or attended anything, and despite Elon repeatedly denying and rebuking invites For Bill Gates, Wikipedia suddenly turns gentle. Epstein is framed as a “financier.” The section opens by emphasizing philanthropy, “Gates Foundation” ties, and Gates’ “huge mistake” and “regret,” with the “friendship” portrayed as unclear and contextualized as business and charity So you end up with a clear pattern: a harsher, accusatory tone for Elon versus a softer, contextual treatment for Gates - even though Gates actually met Epstein multiple times after his conviction and flew on his jet, while there is no evidence Elon ever went to the island There is also zero credit given for how Elon publicly pushed for the Epstein files to be released and campaigned for full transparency, even though that’s a major part of the story and a major reason they are public now Look at the narrative framing: WIKI: BILL GATES (The Protected) > Epstein Label: "Financier." > The Narrative: "Friendship is unclear." Claimed he only visited for "philanthropy" and the "Gates Foundation." > The Reality: Gates visited Epstein MANY times after his conviction, including private meetings and personal favors > Wikipedia's Verdict: "Just business." WIKI: ELON MUSK (The Target) > Epstein Label: "Convicted Child Sex Trafficker." > The Narrative: "Longstanding relationship." > The Reality: The files show Elon REFUSED visits and never went to the island > Wikipedia's Verdict: "Accomplice." They want you to believe Gates - who actually met and flew with Epstein - was just doing “charity” on the island, while Elon - who exposed the files - is the villain Wikipedia is not an encyclopedia, it’s a narrative machine run by clowns pretending to be fact‑checkers

@Osint613 Oh he thought that huh? Everyone knew huh? He knew? Hmmmmmmmmmmmmmmmmmmmmm 🙄🙄🙄🙄🙄

A former police chief who investigated Jeffrey Epstein in the mid 2000s told the FBI he received a call from President Trump at the time saying, “thank goodness you’re stopping him, everyone has known he’s been doing this,” according to FBI documents.