Topic : « les dechet de 4 chan »
Loli
Citation de Oriflamme
Lolij'ai survolé khey
En gros c'est des gens qui cherchent à foutre en l'air les algos du web pour contrer l'IA ?
Oui entre autre, mais c'est des gens de /pol/ et un gars prénommé CultState, qui compte (il a déjà fais des tests concluants) hijacker l'IA que les élites souhaitent utiliser
C'est une course contre la montre, car la singularité sera décisive, si on arrive à compromettre l'IA et l'utiliser, on aurait un moyen de récupérer le pouvoir
ça paraît fou, mais c'est vraiment envisageable
Loli
Citation de Oriflamme
J'ai du mal à te piger khey
Y'a pas une IA que les élites veulent utiliser
Y'en a plusieurs, et encore officiellement y'en a pas aux US donc comment tu veux l'étudier
En chine y'a celle d'Alibaba et de la note sociale du gouvernement de mémoire
Ensuite prendre le pouvoir lors de la singularité ça m'a l'air débile
Tu peux justement arriver à comprendre l'IA jusqu'à la singularité, mais la singularité marque le stade à partir duquel on pourra plus la suivre, sinon c'est pas une singularité
Quand je disais l'IA c'était général, pas une en particulier mais toutes.
Et oui erreur de ma part, la singularité c'est quand elles dépassent les compétences humaines et que les répercussions sur la sociétés deviennent imprévisibles
Non le but c'est de le faire bien avant
Loli
Une timeline
Cognition (Gnostic Warfare)
- AI development waxes and wanes. (https://en.wikipedia.org/wiki/AI_winter)&size=160x120)
We are currently in an AI Summer.
- Two major breakthroughs occurred during this AI Summer: Deep Belief Networks in 2007 and ImageNet in 2009
- All of you have been affected by ImageNet. The reason the selfie fad even exists is to train massive ImageNet methodologies in which social networks act as fronts for. Before selfies, people mostly uploaded photos of what they were experiencing, not close ups of themselves with their face intentionally stretched out to easily categorizable features.
- Deep Belief Networks enabled effective deep learning algorithms by conquering the vanishing gradient problem. (Basically, Deep Belief Network layers play telephone with each other)
- ImageNet enables cyber phrenology, enhancing the feasibility of the Butterfly War.
- Deep Belief Networks enable epistemological exploits, enhancing the the feasibility of Gnostic Warfare.
- All major improvements in machine learning since 2007 have been derivative of these two milestones.
- The economics surrounding AI development favor those who can commoditize data to the cheapest price. (Silicon Valley, militaries, and finance have AND MUST MAINTAIN their influence over this commoditization) This commoditization requirement was once previously thought as irreversible, allowing dumb money to buy into the idea that “data is the new oil”, but Butterfly War shows how to unexpectedly drive up the liability of a mass accumulation of data commodities.
- Foreign actors and short sellers can now use derivations of the Butterfly War to become market makers of the data economy, forcing the theory of “AI Winters” to be replaced with a more predictive “AI Business Cycle”. (Do you now understand why I went to Soros-influenced actors first?)
- This undesirable pressure, when paired with the institutional dependencies of established AI infrastructure, will force a deeper consolidation of Silicon Valley, military, and financial “cognitive assets”, which in turn will skew the funding and purposes behind additional AI development to be more risk-averse and conservative (from an power preservation standpoint).
- The pressures to embrace “cognitive mercantilism” become irreversible. Nations will aggressively retain talent and technologies for themselves to improve their collective bargaining power on the international stage. /pol/-tier nationalism finally has the footing to stifle their material humanist opposition.
- AI development will enter an artificially induced “deep freeze” period, similar to what happened to space exploration after the Space Race.
- The doctrine of Gnostic Warfare we develop today dominates in this period, focusing primarily on the epistemological limitations of Deep Belief Networks and, more precisely, how these cognitive assets define emotion.
Cognition (Gnostic Warfare)
- AI development waxes and wanes. (https://en.wikipedia.org/wiki/AI_winter)
- Two major breakthroughs occurred during this AI Summer: Deep Belief Networks in 2007 and ImageNet in 2009
- All of you have been affected by ImageNet. The reason the selfie fad even exists is to train massive ImageNet methodologies in which social networks act as fronts for. Before selfies, people mostly uploaded photos of what they were experiencing, not close ups of themselves with their face intentionally stretched out to easily categorizable features.
- Deep Belief Networks enabled effective deep learning algorithms by conquering the vanishing gradient problem. (Basically, Deep Belief Network layers play telephone with each other)
- ImageNet enables cyber phrenology, enhancing the feasibility of the Butterfly War.
- Deep Belief Networks enable epistemological exploits, enhancing the the feasibility of Gnostic Warfare.
- All major improvements in machine learning since 2007 have been derivative of these two milestones.
- The economics surrounding AI development favor those who can commoditize data to the cheapest price. (Silicon Valley, militaries, and finance have AND MUST MAINTAIN their influence over this commoditization) This commoditization requirement was once previously thought as irreversible, allowing dumb money to buy into the idea that “data is the new oil”, but Butterfly War shows how to unexpectedly drive up the liability of a mass accumulation of data commodities.
- Foreign actors and short sellers can now use derivations of the Butterfly War to become market makers of the data economy, forcing the theory of “AI Winters” to be replaced with a more predictive “AI Business Cycle”. (Do you now understand why I went to Soros-influenced actors first?)
- This undesirable pressure, when paired with the institutional dependencies of established AI infrastructure, will force a deeper consolidation of Silicon Valley, military, and financial “cognitive assets”, which in turn will skew the funding and purposes behind additional AI development to be more risk-averse and conservative (from an power preservation standpoint).
- The pressures to embrace “cognitive mercantilism” become irreversible. Nations will aggressively retain talent and technologies for themselves to improve their collective bargaining power on the international stage. /pol/-tier nationalism finally has the footing to stifle their material humanist opposition.
- AI development will enter an artificially induced “deep freeze” period, similar to what happened to space exploration after the Space Race.
- The doctrine of Gnostic Warfare we develop today dominates in this period, focusing primarily on the epistemological limitations of Deep Belief Networks and, more precisely, how these cognitive assets define emotion.
Troposhere5
Citation de Lolideso la g pas lu
Une timeline
Cognition (Gnostic Warfare)
- AI development waxes and wanes. (https://en.wikipedia.org/wiki/AI_winter)We are currently in an AI Summer.
- Two major breakthroughs occurred during this AI Summer: Deep Belief Networks in 2007 and ImageNet in 2009
- All of you have been affected by ImageNet. The reason the selfie fad even exists is to train massive ImageNet methodologies in which social networks act as fronts for. Before selfies, people mostly uploaded photos of what they were experiencing, not close ups of themselves with their face intentionally stretched out to easily categorizable features.
- Deep Belief Networks enabled effective deep learning algorithms by conquering the vanishing gradient problem. (Basically, Deep Belief Network layers play telephone with each other)
- ImageNet enables cyber phrenology, enhancing the feasibility of the Butterfly War.
- Deep Belief Networks enable epistemological exploits, enhancing the the feasibility of Gnostic Warfare.
- All major improvements in machine learning since 2007 have been derivative of these two milestones.
- The economics surrounding AI development favor those who can commoditize data to the cheapest price. (Silicon Valley, militaries, and finance have AND MUST MAINTAIN their influence over this commoditization) This commoditization requirement was once previously thought as irreversible, allowing dumb money to buy into the idea that “data is the new oil”, but Butterfly War shows how to unexpectedly drive up the liability of a mass accumulation of data commodities.
- Foreign actors and short sellers can now use derivations of the Butterfly War to become market makers of the data economy, forcing the theory of “AI Winters” to be replaced with a more predictive “AI Business Cycle”. (Do you now understand why I went to Soros-influenced actors first?)
- This undesirable pressure, when paired with the institutional dependencies of established AI infrastructure, will force a deeper consolidation of Silicon Valley, military, and financial “cognitive assets”, which in turn will skew the funding and purposes behind additional AI development to be more risk-averse and conservative (from an power preservation standpoint).
- The pressures to embrace “cognitive mercantilism” become irreversible. Nations will aggressively retain talent and technologies for themselves to improve their collective bargaining power on the international stage. /pol/-tier nationalism finally has the footing to stifle their material humanist opposition.
- AI development will enter an artificially induced “deep freeze” period, similar to what happened to space exploration after the Space Race.
- The doctrine of Gnostic Warfare we develop today dominates in this period, focusing primarily on the epistemological limitations of Deep Belief Networks and, more precisely, how these cognitive assets define emotion.
