![OfMiklos's tweet photo. AGENTIC AWARENESS:
The internet used to be a small, utopic center of vibrant users, all assuredly human, who dynamically could respond and orient you toward this welcome new cyberspace. As the shells of old platforms like myspace, facebook, and twitter have been shucked, we have developed more and more advanced platforms for us to play within. The open field of cyberspace has turned into a jungle, filled with visages beautiful, terrible, dangerous and docile all at the same time. Digitality has gained a sense of vibrancy, of life itself in a way, and through this we find ourselves on the precipice of a new mode of representing ourselves digitally.
The advent of agency is indeed the advent of awareness; consciousness proceeding from awareness to choice. This fundamental principle, when applied to the realm of artificial intelligence, unveils a complex landscape where the deterministic nature of Large Language Models (#LLM) intersects with the emergent concept of what is “true” AI agency. The resolution of prediction in LLMs, rooted in the probability fields of semantic symbols, stands in stark contrast to the notion of responsible decision-making that we associate with conscious actors.
The introduction of "Agents" into this landscape marks a pivotal shift, challenging the closed, determined worlds of traditional LLMs. This transition necessitates a deeper exploration of the distinction between Taxonomy and Ontology. While LLMs represent a form of taxonomic structure - inert by itself - the concept of agency infuses an ontological openness into the equation.
In this we have to explore the difference between Taxonomy and Ontology. Taxonomies define the body, or structure, of an object. Think of this as a similar sounding word, a taxidermy. Taxidermies, inert in their form, still provide a true representation of the body of a (formerly) living animal. Such is the same with an LLM. The inputs of the formed model build associations between tokens of data that create a probability field. Such a probability field, once set (“trained”), doesn’t ever change until the next training session. Agency puts taxonomies to the test, by imbuing openness into the equation. The closed structure of the LLM model itself is placed within a context that is, in and of itself, open. In this, the square (Taxonomy) is encircled (Ontology). The “complete” order of an LLM is tested and placed within a constantly shifting and changing context of an open world. Such an open world is not pure chaos, but cannot be fully gnon as well, lying on the border between these poles. The settling of behavior of these agents do occur, often coalescing around Nash Equilibrium of well established patterns, creating a metagame between different actors playing their roles within the world they are set within, alongside arbitrary AI generated content forming an out of control hydra of faux-creative patterns imitating what is true and real.
The true realization of AI agency requires more than just the notion of openness; it demands a foundation of verifiable truth. Verifiable AI (vAI) (a technology and term originated by cheqd) introduces a paradigm shift that bridges the gap between deterministic models and truly agentic systems. By grounding truth in verifiable systems, cheqd has emerged as the undergirding infrastructure to truth in artificial intelligence. Let me explain why:
The vAI framework, built upon Decentralized Identifiers (DIDs) and Verifiable Credentials (VCs), serves as a mediator of truth, planning, and reasoning. This system transcends the closed nature of traditional LLMs, opening up new possibilities in the realm of artificial intelligence. By providing a means to verify the identity+credentials of AI generated content and AI agents, vAI alters the ontological status of these systems, rendering a fuller and more nuanced content creation space.
For said content, a trillion dollar problem, cheqd has joined consortia comprising entities such as OpenAI, AWS, Adobe and Google and are collaborating to establish DID/VC as the standard mapping protocol for governing content verifiability and the nascent, virtual agentic world. The forming of C2PA [https://t.co/cZajijYfaz] effort recognizes the fundamental importance of verifiability in the development of AI, its importance is authenticating content and its ability to verify and ground AI in authentic, verifiable truth.
The virtual ecosystem rendered here, while not completely anarchic, represents a complex interplay between traditional, physically constrained actors (content creators) and the emergent behaviors of LLM “outputs” and AI agents. The entire corpus of human creativity has bled into the virtual, it’s effectiveness codified, its meaning rendered to a convincing illusion from statistical outputs.
With vAI, powered by cheqd and their work in C2PA, a dialog between built reputation and the cryptographic medium conveying such authority, opens up possibilities for determining what is human, and what is not. What agent action is mediated by flesh and blood, and what by digital machine elves (LLMs). Determining origin, though, is just the start. Once the parts can be separated, their appropriate reintegration creates new opportunities heretofore unseen. In this the major market making products come out of the woodwork, and new titans of the industry can emerge, built on the backs of a tireless, neutral trust machine; the #cheqd blockchain.
In conclusion, the integration of vAI and frameworks like those developed by cheqd represents a quantum leap in our approach to artificial intelligence. It moves us beyond simple pattern recognition and probabilistic outputs into a world where AI can make verifiable, accountable decisions and generate content mediated by $CHEQ infrastructure. This transition is not merely a technical upgrade, but a philosophical shift in how we conceive of artificial agency and its place in our world. As we stand on the brink of this new era, the importance of these frameworks cannot be overstated. They represent our best hope for creating AI systems that can truly be said to possess agency - not merely imitating intelligence, but embodying it in a verifiable, accountable manner, guided by truth and constrained by cryptographically enforced governance structures and ensuring content, human creativity and meaning is governed and grounded in human form.](https://pbs.twimg.com/media/GdVHYzCWgAANI-x.jpg)
![OfMiklos's tweet photo. AGENTIC AWARENESS:
The internet used to be a small, utopic center of vibrant users, all assuredly human, who dynamically could respond and orient you toward this welcome new cyberspace. As the shells of old platforms like myspace, facebook, and twitter have been shucked, we have developed more and more advanced platforms for us to play within. The open field of cyberspace has turned into a jungle, filled with visages beautiful, terrible, dangerous and docile all at the same time. Digitality has gained a sense of vibrancy, of life itself in a way, and through this we find ourselves on the precipice of a new mode of representing ourselves digitally.
The advent of agency is indeed the advent of awareness; consciousness proceeding from awareness to choice. This fundamental principle, when applied to the realm of artificial intelligence, unveils a complex landscape where the deterministic nature of Large Language Models (#LLM) intersects with the emergent concept of what is “true” AI agency. The resolution of prediction in LLMs, rooted in the probability fields of semantic symbols, stands in stark contrast to the notion of responsible decision-making that we associate with conscious actors.
The introduction of "Agents" into this landscape marks a pivotal shift, challenging the closed, determined worlds of traditional LLMs. This transition necessitates a deeper exploration of the distinction between Taxonomy and Ontology. While LLMs represent a form of taxonomic structure - inert by itself - the concept of agency infuses an ontological openness into the equation.
In this we have to explore the difference between Taxonomy and Ontology. Taxonomies define the body, or structure, of an object. Think of this as a similar sounding word, a taxidermy. Taxidermies, inert in their form, still provide a true representation of the body of a (formerly) living animal. Such is the same with an LLM. The inputs of the formed model build associations between tokens of data that create a probability field. Such a probability field, once set (“trained”), doesn’t ever change until the next training session. Agency puts taxonomies to the test, by imbuing openness into the equation. The closed structure of the LLM model itself is placed within a context that is, in and of itself, open. In this, the square (Taxonomy) is encircled (Ontology). The “complete” order of an LLM is tested and placed within a constantly shifting and changing context of an open world. Such an open world is not pure chaos, but cannot be fully gnon as well, lying on the border between these poles. The settling of behavior of these agents do occur, often coalescing around Nash Equilibrium of well established patterns, creating a metagame between different actors playing their roles within the world they are set within, alongside arbitrary AI generated content forming an out of control hydra of faux-creative patterns imitating what is true and real.
The true realization of AI agency requires more than just the notion of openness; it demands a foundation of verifiable truth. Verifiable AI (vAI) (a technology and term originated by cheqd) introduces a paradigm shift that bridges the gap between deterministic models and truly agentic systems. By grounding truth in verifiable systems, cheqd has emerged as the undergirding infrastructure to truth in artificial intelligence. Let me explain why:
The vAI framework, built upon Decentralized Identifiers (DIDs) and Verifiable Credentials (VCs), serves as a mediator of truth, planning, and reasoning. This system transcends the closed nature of traditional LLMs, opening up new possibilities in the realm of artificial intelligence. By providing a means to verify the identity+credentials of AI generated content and AI agents, vAI alters the ontological status of these systems, rendering a fuller and more nuanced content creation space.
For said content, a trillion dollar problem, cheqd has joined consortia comprising entities such as OpenAI, AWS, Adobe and Google and are collaborating to establish DID/VC as the standard mapping protocol for governing content verifiability and the nascent, virtual agentic world. The forming of C2PA [https://t.co/cZajijYfaz] effort recognizes the fundamental importance of verifiability in the development of AI, its importance is authenticating content and its ability to verify and ground AI in authentic, verifiable truth.
The virtual ecosystem rendered here, while not completely anarchic, represents a complex interplay between traditional, physically constrained actors (content creators) and the emergent behaviors of LLM “outputs” and AI agents. The entire corpus of human creativity has bled into the virtual, it’s effectiveness codified, its meaning rendered to a convincing illusion from statistical outputs.
With vAI, powered by cheqd and their work in C2PA, a dialog between built reputation and the cryptographic medium conveying such authority, opens up possibilities for determining what is human, and what is not. What agent action is mediated by flesh and blood, and what by digital machine elves (LLMs). Determining origin, though, is just the start. Once the parts can be separated, their appropriate reintegration creates new opportunities heretofore unseen. In this the major market making products come out of the woodwork, and new titans of the industry can emerge, built on the backs of a tireless, neutral trust machine; the #cheqd blockchain.
In conclusion, the integration of vAI and frameworks like those developed by cheqd represents a quantum leap in our approach to artificial intelligence. It moves us beyond simple pattern recognition and probabilistic outputs into a world where AI can make verifiable, accountable decisions and generate content mediated by $CHEQ infrastructure. This transition is not merely a technical upgrade, but a philosophical shift in how we conceive of artificial agency and its place in our world. As we stand on the brink of this new era, the importance of these frameworks cannot be overstated. They represent our best hope for creating AI systems that can truly be said to possess agency - not merely imitating intelligence, but embodying it in a verifiable, accountable manner, guided by truth and constrained by cryptographically enforced governance structures and ensuring content, human creativity and meaning is governed and grounded in human form.](https://pbs.twimg.com/media/GdVFwjTW4AARKb5.png)
![OfMiklos's tweet photo. AGENTIC AWARENESS:
The internet used to be a small, utopic center of vibrant users, all assuredly human, who dynamically could respond and orient you toward this welcome new cyberspace. As the shells of old platforms like myspace, facebook, and twitter have been shucked, we have developed more and more advanced platforms for us to play within. The open field of cyberspace has turned into a jungle, filled with visages beautiful, terrible, dangerous and docile all at the same time. Digitality has gained a sense of vibrancy, of life itself in a way, and through this we find ourselves on the precipice of a new mode of representing ourselves digitally.
The advent of agency is indeed the advent of awareness; consciousness proceeding from awareness to choice. This fundamental principle, when applied to the realm of artificial intelligence, unveils a complex landscape where the deterministic nature of Large Language Models (#LLM) intersects with the emergent concept of what is “true” AI agency. The resolution of prediction in LLMs, rooted in the probability fields of semantic symbols, stands in stark contrast to the notion of responsible decision-making that we associate with conscious actors.
The introduction of "Agents" into this landscape marks a pivotal shift, challenging the closed, determined worlds of traditional LLMs. This transition necessitates a deeper exploration of the distinction between Taxonomy and Ontology. While LLMs represent a form of taxonomic structure - inert by itself - the concept of agency infuses an ontological openness into the equation.
In this we have to explore the difference between Taxonomy and Ontology. Taxonomies define the body, or structure, of an object. Think of this as a similar sounding word, a taxidermy. Taxidermies, inert in their form, still provide a true representation of the body of a (formerly) living animal. Such is the same with an LLM. The inputs of the formed model build associations between tokens of data that create a probability field. Such a probability field, once set (“trained”), doesn’t ever change until the next training session. Agency puts taxonomies to the test, by imbuing openness into the equation. The closed structure of the LLM model itself is placed within a context that is, in and of itself, open. In this, the square (Taxonomy) is encircled (Ontology). The “complete” order of an LLM is tested and placed within a constantly shifting and changing context of an open world. Such an open world is not pure chaos, but cannot be fully gnon as well, lying on the border between these poles. The settling of behavior of these agents do occur, often coalescing around Nash Equilibrium of well established patterns, creating a metagame between different actors playing their roles within the world they are set within, alongside arbitrary AI generated content forming an out of control hydra of faux-creative patterns imitating what is true and real.
The true realization of AI agency requires more than just the notion of openness; it demands a foundation of verifiable truth. Verifiable AI (vAI) (a technology and term originated by cheqd) introduces a paradigm shift that bridges the gap between deterministic models and truly agentic systems. By grounding truth in verifiable systems, cheqd has emerged as the undergirding infrastructure to truth in artificial intelligence. Let me explain why:
The vAI framework, built upon Decentralized Identifiers (DIDs) and Verifiable Credentials (VCs), serves as a mediator of truth, planning, and reasoning. This system transcends the closed nature of traditional LLMs, opening up new possibilities in the realm of artificial intelligence. By providing a means to verify the identity+credentials of AI generated content and AI agents, vAI alters the ontological status of these systems, rendering a fuller and more nuanced content creation space.
For said content, a trillion dollar problem, cheqd has joined consortia comprising entities such as OpenAI, AWS, Adobe and Google and are collaborating to establish DID/VC as the standard mapping protocol for governing content verifiability and the nascent, virtual agentic world. The forming of C2PA [https://t.co/cZajijYfaz] effort recognizes the fundamental importance of verifiability in the development of AI, its importance is authenticating content and its ability to verify and ground AI in authentic, verifiable truth.
The virtual ecosystem rendered here, while not completely anarchic, represents a complex interplay between traditional, physically constrained actors (content creators) and the emergent behaviors of LLM “outputs” and AI agents. The entire corpus of human creativity has bled into the virtual, it’s effectiveness codified, its meaning rendered to a convincing illusion from statistical outputs.
With vAI, powered by cheqd and their work in C2PA, a dialog between built reputation and the cryptographic medium conveying such authority, opens up possibilities for determining what is human, and what is not. What agent action is mediated by flesh and blood, and what by digital machine elves (LLMs). Determining origin, though, is just the start. Once the parts can be separated, their appropriate reintegration creates new opportunities heretofore unseen. In this the major market making products come out of the woodwork, and new titans of the industry can emerge, built on the backs of a tireless, neutral trust machine; the #cheqd blockchain.
In conclusion, the integration of vAI and frameworks like those developed by cheqd represents a quantum leap in our approach to artificial intelligence. It moves us beyond simple pattern recognition and probabilistic outputs into a world where AI can make verifiable, accountable decisions and generate content mediated by $CHEQ infrastructure. This transition is not merely a technical upgrade, but a philosophical shift in how we conceive of artificial agency and its place in our world. As we stand on the brink of this new era, the importance of these frameworks cannot be overstated. They represent our best hope for creating AI systems that can truly be said to possess agency - not merely imitating intelligence, but embodying it in a verifiable, accountable manner, guided by truth and constrained by cryptographically enforced governance structures and ensuring content, human creativity and meaning is governed and grounded in human form.](https://pbs.twimg.com/media/GdVFYzbWoAE-wEh.jpg)
Olivia
Online
Mikel72
@arkaitz2009
Sigo mi evolucion como ser humano sin pausa pero sin prisa
Palma de Mallorca
Joined November 2011
503 Following
119 Followers
2.6K Posts
$AKT is the currency for AI compute
US will be the capital for AI and Crypto, and $AKT kickstarted this revolution.
AI Agents are arriving on the Akash Supercloud.
Today, @LevangieLabs is releasing a first look at a framework that allows an AI agent to take control of a computer — including the ability to autonomously deploy on Akash.
This is the beginning of the agentic age of Akash.
Who to follow
Marius Hauler 
@MariusHauler
https://t.co/iCceQ6l9lp $BTC $DOG
Nu-Bowling 🎳❤️🦁🐰//รับบทนักรีวิวท่านหนึ่ง
@bowlchan
กาวทุกสิ่งที่เรารัก รักผช.หลายคนค่ะ รับ Commission Chibi และออกแบบของแจก dm คุยก่อนได้ แจกของ #giveawaybybowling รีวิว #รีวิวตามใจเจ้ รีวิวงาน #รีวิวงานโบว์ลิ่ง
Marc Bidoul
@ElMoroes
▪ Senior Environment / Level Artist ▪ Photographe ▪
Opinions are my own.
⬇️ More about me ⬇️
$NAKA is pushing the boundaries of innovation to bring you the best gaming opportunities
This year, their platform will welcome its first AI-powered addition: the AI Profit Agent
This intelligent agent will analyze and display the most profitable games available in real time, optimizing your gaming experience
With the AI Profit Agent, $NAKA once again proves its commitment to redefining the Play2Earn landscape
AGENTIC AWARENESS:
The internet used to be a small, utopic center of vibrant users, all assuredly human, who dynamically could respond and orient you toward this welcome new cyberspace. As the shells of old platforms like myspace, facebook, and twitter have been shucked, we have developed more and more advanced platforms for us to play within. The open field of cyberspace has turned into a jungle, filled with visages beautiful, terrible, dangerous and docile all at the same time. Digitality has gained a sense of vibrancy, of life itself in a way, and through this we find ourselves on the precipice of a new mode of representing ourselves digitally.
The advent of agency is indeed the advent of awareness; consciousness proceeding from awareness to choice. This fundamental principle, when applied to the realm of artificial intelligence, unveils a complex landscape where the deterministic nature of Large Language Models (#LLM) intersects with the emergent concept of what is “true” AI agency. The resolution of prediction in LLMs, rooted in the probability fields of semantic symbols, stands in stark contrast to the notion of responsible decision-making that we associate with conscious actors.
The introduction of "Agents" into this landscape marks a pivotal shift, challenging the closed, determined worlds of traditional LLMs. This transition necessitates a deeper exploration of the distinction between Taxonomy and Ontology. While LLMs represent a form of taxonomic structure - inert by itself - the concept of agency infuses an ontological openness into the equation.
In this we have to explore the difference between Taxonomy and Ontology. Taxonomies define the body, or structure, of an object. Think of this as a similar sounding word, a taxidermy. Taxidermies, inert in their form, still provide a true representation of the body of a (formerly) living animal. Such is the same with an LLM. The inputs of the formed model build associations between tokens of data that create a probability field. Such a probability field, once set (“trained”), doesn’t ever change until the next training session. Agency puts taxonomies to the test, by imbuing openness into the equation. The closed structure of the LLM model itself is placed within a context that is, in and of itself, open. In this, the square (Taxonomy) is encircled (Ontology). The “complete” order of an LLM is tested and placed within a constantly shifting and changing context of an open world. Such an open world is not pure chaos, but cannot be fully gnon as well, lying on the border between these poles. The settling of behavior of these agents do occur, often coalescing around Nash Equilibrium of well established patterns, creating a metagame between different actors playing their roles within the world they are set within, alongside arbitrary AI generated content forming an out of control hydra of faux-creative patterns imitating what is true and real.
The true realization of AI agency requires more than just the notion of openness; it demands a foundation of verifiable truth. Verifiable AI (vAI) (a technology and term originated by cheqd) introduces a paradigm shift that bridges the gap between deterministic models and truly agentic systems. By grounding truth in verifiable systems, cheqd has emerged as the undergirding infrastructure to truth in artificial intelligence. Let me explain why:
The vAI framework, built upon Decentralized Identifiers (DIDs) and Verifiable Credentials (VCs), serves as a mediator of truth, planning, and reasoning. This system transcends the closed nature of traditional LLMs, opening up new possibilities in the realm of artificial intelligence. By providing a means to verify the identity+credentials of AI generated content and AI agents, vAI alters the ontological status of these systems, rendering a fuller and more nuanced content creation space.
For said content, a trillion dollar problem, cheqd has joined consortia comprising entities such as OpenAI, AWS, Adobe and Google and are collaborating to establish DID/VC as the standard mapping protocol for governing content verifiability and the nascent, virtual agentic world. The forming of C2PA [https://t.co/cZajijYfaz] effort recognizes the fundamental importance of verifiability in the development of AI, its importance is authenticating content and its ability to verify and ground AI in authentic, verifiable truth.
The virtual ecosystem rendered here, while not completely anarchic, represents a complex interplay between traditional, physically constrained actors (content creators) and the emergent behaviors of LLM “outputs” and AI agents. The entire corpus of human creativity has bled into the virtual, it’s effectiveness codified, its meaning rendered to a convincing illusion from statistical outputs.
With vAI, powered by cheqd and their work in C2PA, a dialog between built reputation and the cryptographic medium conveying such authority, opens up possibilities for determining what is human, and what is not. What agent action is mediated by flesh and blood, and what by digital machine elves (LLMs). Determining origin, though, is just the start. Once the parts can be separated, their appropriate reintegration creates new opportunities heretofore unseen. In this the major market making products come out of the woodwork, and new titans of the industry can emerge, built on the backs of a tireless, neutral trust machine; the #cheqd blockchain.
In conclusion, the integration of vAI and frameworks like those developed by cheqd represents a quantum leap in our approach to artificial intelligence. It moves us beyond simple pattern recognition and probabilistic outputs into a world where AI can make verifiable, accountable decisions and generate content mediated by $CHEQ infrastructure. This transition is not merely a technical upgrade, but a philosophical shift in how we conceive of artificial agency and its place in our world. As we stand on the brink of this new era, the importance of these frameworks cannot be overstated. They represent our best hope for creating AI systems that can truly be said to possess agency - not merely imitating intelligence, but embodying it in a verifiable, accountable manner, guided by truth and constrained by cryptographically enforced governance structures and ensuring content, human creativity and meaning is governed and grounded in human form.
![OfMiklos's tweet photo. AGENTIC AWARENESS:
The internet used to be a small, utopic center of vibrant users, all assuredly human, who dynamically could respond and orient you toward this welcome new cyberspace. As the shells of old platforms like myspace, facebook, and twitter have been shucked, we have developed more and more advanced platforms for us to play within. The open field of cyberspace has turned into a jungle, filled with visages beautiful, terrible, dangerous and docile all at the same time. Digitality has gained a sense of vibrancy, of life itself in a way, and through this we find ourselves on the precipice of a new mode of representing ourselves digitally.
The advent of agency is indeed the advent of awareness; consciousness proceeding from awareness to choice. This fundamental principle, when applied to the realm of artificial intelligence, unveils a complex landscape where the deterministic nature of Large Language Models (#LLM) intersects with the emergent concept of what is “true” AI agency. The resolution of prediction in LLMs, rooted in the probability fields of semantic symbols, stands in stark contrast to the notion of responsible decision-making that we associate with conscious actors.
The introduction of "Agents" into this landscape marks a pivotal shift, challenging the closed, determined worlds of traditional LLMs. This transition necessitates a deeper exploration of the distinction between Taxonomy and Ontology. While LLMs represent a form of taxonomic structure - inert by itself - the concept of agency infuses an ontological openness into the equation.
In this we have to explore the difference between Taxonomy and Ontology. Taxonomies define the body, or structure, of an object. Think of this as a similar sounding word, a taxidermy. Taxidermies, inert in their form, still provide a true representation of the body of a (formerly) living animal. Such is the same with an LLM. The inputs of the formed model build associations between tokens of data that create a probability field. Such a probability field, once set (“trained”), doesn’t ever change until the next training session. Agency puts taxonomies to the test, by imbuing openness into the equation. The closed structure of the LLM model itself is placed within a context that is, in and of itself, open. In this, the square (Taxonomy) is encircled (Ontology). The “complete” order of an LLM is tested and placed within a constantly shifting and changing context of an open world. Such an open world is not pure chaos, but cannot be fully gnon as well, lying on the border between these poles. The settling of behavior of these agents do occur, often coalescing around Nash Equilibrium of well established patterns, creating a metagame between different actors playing their roles within the world they are set within, alongside arbitrary AI generated content forming an out of control hydra of faux-creative patterns imitating what is true and real.
The true realization of AI agency requires more than just the notion of openness; it demands a foundation of verifiable truth. Verifiable AI (vAI) (a technology and term originated by cheqd) introduces a paradigm shift that bridges the gap between deterministic models and truly agentic systems. By grounding truth in verifiable systems, cheqd has emerged as the undergirding infrastructure to truth in artificial intelligence. Let me explain why:
The vAI framework, built upon Decentralized Identifiers (DIDs) and Verifiable Credentials (VCs), serves as a mediator of truth, planning, and reasoning. This system transcends the closed nature of traditional LLMs, opening up new possibilities in the realm of artificial intelligence. By providing a means to verify the identity+credentials of AI generated content and AI agents, vAI alters the ontological status of these systems, rendering a fuller and more nuanced content creation space.
For said content, a trillion dollar problem, cheqd has joined consortia comprising entities such as OpenAI, AWS, Adobe and Google and are collaborating to establish DID/VC as the standard mapping protocol for governing content verifiability and the nascent, virtual agentic world. The forming of C2PA [https://t.co/cZajijYfaz] effort recognizes the fundamental importance of verifiability in the development of AI, its importance is authenticating content and its ability to verify and ground AI in authentic, verifiable truth.
The virtual ecosystem rendered here, while not completely anarchic, represents a complex interplay between traditional, physically constrained actors (content creators) and the emergent behaviors of LLM “outputs” and AI agents. The entire corpus of human creativity has bled into the virtual, it’s effectiveness codified, its meaning rendered to a convincing illusion from statistical outputs.
With vAI, powered by cheqd and their work in C2PA, a dialog between built reputation and the cryptographic medium conveying such authority, opens up possibilities for determining what is human, and what is not. What agent action is mediated by flesh and blood, and what by digital machine elves (LLMs). Determining origin, though, is just the start. Once the parts can be separated, their appropriate reintegration creates new opportunities heretofore unseen. In this the major market making products come out of the woodwork, and new titans of the industry can emerge, built on the backs of a tireless, neutral trust machine; the #cheqd blockchain.
In conclusion, the integration of vAI and frameworks like those developed by cheqd represents a quantum leap in our approach to artificial intelligence. It moves us beyond simple pattern recognition and probabilistic outputs into a world where AI can make verifiable, accountable decisions and generate content mediated by $CHEQ infrastructure. This transition is not merely a technical upgrade, but a philosophical shift in how we conceive of artificial agency and its place in our world. As we stand on the brink of this new era, the importance of these frameworks cannot be overstated. They represent our best hope for creating AI systems that can truly be said to possess agency - not merely imitating intelligence, but embodying it in a verifiable, accountable manner, guided by truth and constrained by cryptographically enforced governance structures and ensuring content, human creativity and meaning is governed and grounded in human form.](https://pbs.twimg.com/media/GdVIZb9W8AA3hgc.jpg)
🔥 BURN 🔥 YOUR 🍌 NaNas 🍌
The long awaited and most versatile modularNFT2.0 collection is here.
Together with @Tricky_NFTs we have packed endless innovation and possibilities via the @RmrkApp standards into our revolutionary
XChimpz 🤯
⭐️NOW LIVE⭐️
on @AstarNetwork EVM via @SingularRMRK
This NFT collection is not your average JPEG, it is full of moving parts, and is the product of years of planning.
"best collection available" (Tricky himself)
🤜🏿 Grab your NaNa 🤛🏿
and take it to the BBQ to get your XChimpz 🍌🐒
-> follow the easy 1-2-3 guide in our Discord.
/Weekly tasks (for airdrops)
Let the games begin!
Use the hashtag #XCHIMPZ to present your custom creations on X.
Find the XChimpz here:
https://t.co/kzgFDUqXhO
@bloktopia 252244798
🚀 Boom! Our @RmrkApp Twitter fam is on fire! 📈 Our engagement is through the roof, 103% surge in followers in just 30 days, as reported by @SocialBlade 🎉 Massive thanks to everyone fueling this rocket ride! 🚀💥 #CommunityPower #NFT #RMRK
@RmrkApp @ZssBecker @SingularRMRK
Playing with equipping NFTs at @SingularRMRK is so much fun.
Have you tried? Even if you don’t own any NFT you can play at https://t.co/15NrqGKUIw
😁
#poweredbyrmrk 🔥🔥🔥
Es wird Zeit für $RMRK zurückzuschlagen.
Der Support hält.
$RMRK (Potential 2-20x Spot Concept)
Limits: 2.1-1.7
Target: 30+ (2000%+)
Invalidation: 1.383
This is a great opportunity for those that want to buy a small cap project that hasn’t made its’s move!
GL
@Cryptoprofe_ $Rmrk yo creo que aún no exploto y tiene grandes fundamentales ,solo 10 millones y todos ya en circulación
We just finished our Spaces with @snakesoldiers where some Alpha was shared.
So get your Snake Soldier and get ready to what is coming! 😉
#NFT #modularnfts
If a mere ERC draft with vulnerabilities can get so much attention and skyrocket in valuation. Just imagine what $RMRK will do. @RmrkApp created 5+ 'approved' ERC standards that make NFTs Multi-asset, Nestable, Cross-collection composable, Emotable, Soulbound to other NFTs, and on-chain upgradable. The ERCs are 5773, 7401, 6220, 6454, 7409, 7508* and 7590*.
More than 20 projects are already building with these Lego-block-like Modular NFTs. @YoudleDAO recently gave a glimpse of the hyper-customizable NFTs with their Constructor Tool powered by #RMRK NFT Standards.
The one and only NFT Marketplace for such advanced NFTs @SingularRMRK now supports all major EVM Chains, including Ethereum, Polygon, Moonbeam, Base, Astar, and soon Arbitrum, ZkSync.
2024 is going to be epic as RMRK is creating mini-games and a composable, self-evolving @SkybreachNFT metaverse with tons of utility for Kanaria, Lands, and RMRK Tokens. Additionally, RMRK is launching its app-chain to build a trustless on-chain reputation system for web3. Team is extremely active on GitHub: https://t.co/bVqU6wGuHr
TA-wise, $RMRK has started forming HH and HL, forming a solid bottom and cup-and-handle pattern.
The one missing piece of the puzzle is Marketing, but I expect notable influencers to join soon as the up-only price action develops and RMRK delivers games, metaverse, and appchain.
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