<img src="https://images.cointelegraph.com/images/840_aHR0cHM6Ly9zMy5jb2ludGVsZWdyYXBoLmNvbS9zdG9yYWdlL3VwbG9hZHMvdmlldy8wZjFlODViODE3NzlmNmEzMWQ3NjUxOTVjMjBkMjQ4YS5qcGc=.jpg"><img src="https://images.cointelegraph.com/images/840_aHR0cHM6Ly9zMy5jb2ludGVsZWdyYXBoLmNvbS9zdG9yYWdlL3VwbG9hZHMvdmlldy8wZjFlODViODE3NzlmNmEzMWQ3NjUxOTVjMjBkMjQ4YS5qcGc=.jpg" alt="Artificial general intelligence (AGI): Can it really think like a human?"><div data-ct-widget="explained-block" id="explained-block-189352-7"> <h2 data-ct-widget="explained-block-title"> What is AGI? </h2> When the lines blur between man and machine, you&rsquo;re looking at artificial general intelligence (AGI). Unlike its counterpart, artificial narrow intelligence (ANI), which is the use of AI for solving individual problem statements, AGI represents <a href="https://cointelegraph.com/news/a-brief-history-of-artificial-intelligence">artificial intelligence</a> that can understand, learn and apply knowledge in a way that is indistinguishable from human cognition.AGI is still theoretical, but the prospect of artificial intelligence being able to holistically replace human input and judgment has naturally attracted plenty of interest, with researchers, technologists and academics alike seeking to bring the concept of AGI to reality.&nbsp;Yet another strand of prevailing research seeks to explore the feasibility and implications of AGI vs. ANI in a world increasingly shaped by AI capabilities.&nbsp;<img alt="Artificial Narrow Intelligence (ANI) vs. Artificial General Intelligence (AGI)" src="https://s3.cointelegraph.com/storage/uploads/view/905e01971c4c89f65881f97ec68755e2.jpg" title="Artificial Narrow Intelligence (ANI) vs. Artificial General Intelligence (AGI)">Indeed, while ANI has already transformed various industries, AGI&rsquo;s potential goes far beyond. Imagine a world where machines can not only assist humans in their tasks but also proactively understand the drivers behind specific tasks, predict outcomes, and autonomously create innovative solutions to achieve optimal results. This paradigm shift could revolutionize healthcare, education, transportation and countless other fields. <div data-ct-widget="explained-block" id="explained-block-189352-6"> <h2 data-ct-widget="explained-block-title"> Why is AGI so powerful? </h2> Unlike ANI, AGI is not confined to pre-programmed tasks or predefined responses within a limited domain. Instead, it has the potential to generate and apply knowledge across various contexts.Imagine a self-driving car powered by AGI. It can collect a passenger from a train station but also personalize the journey with custom recommendations for pit stops, sightseeing avenues or navigating unfamiliar roads to arrive at the desired destination. And because it&rsquo;s a machine, AGI would not experience fatigue and would continue learning and improving at exponential speeds.&nbsp;Here&rsquo;s a definition of AGI by <a href="https://cointelegraph.com/news/ethereum-co-founder-vitalik-buterin-privacy-is-freedom">Vitalik Buterin</a>, who highlights the sheer potential of AGI:<img alt="Vitalik Buterin's definition of AGI" src="https://s3.cointelegraph.com/storage/uploads/view/eb19bc7763e093469a260d689cb1c432.jpg" title="Vitalik Buterin's definition of AGI">The example highlights some interesting features of AGI, which include:<ul><li>Learning capability: AGI can learn from experiences and improve its performance over time without a concerted effort by human programmers to perform additional <a href="https://cointelegraph.com/learn/articles/training-vs-testing-data-in-machine-learning">data set training</a>. This learning is not limited to specific tasks and instead encompasses a broad spectrum of activities.</li><li>Problem-solving skills: AGI can solve complex problems by applying logical reasoning just as a human would. This includes consideration of non-traditional variables, such as emotional impact, which can highlight an even wider range of potential outcomes.</li><li>Adaptability: AGI can adjust to new situations and environments without explicit programming, which means it can thrive in dynamic and unpredictable settings.</li><li>Understanding and interpretation: AGI is equipped to comprehend natural language, abstract concepts and emotional nuance, allowing for sophisticated human-machine interactions.</li></ul>Did you know? Blockchain timestamps could serve as a legal memory for AGI systems, allowing future audits to determine exactly what an AGI knew &mdash; and when. </div><div data-ct-widget="explained-block" id="explained-block-189352-5"> <h2 data-ct-widget="explained-block-title"> The pursuit of AGI: Where does it stand as of April 2025? </h2> AGI is currently the science-fiction version of AI. However, while still theoretical, the sheer potential of the concept makes AGI the science fiction equivalent of artificial intelligence.&nbsp;While existing models, such as <a href="https://cointelegraph.com/explained/what-is-gpt-4o-and-how-is-it-different-from-gpt-3-gpt-35-and-gpt-4">ChatGPT</a>, are constantly evolving and improving with each day, the journey to bringing AGI to life involves overcoming significant technical challenges, such as:<ul><li>Defining the tech stack: The purely hypothetical nature of AGI makes it exceedingly difficult, if not altogether impossible, to determine the precise nature of the technological stack required for practical implementation.</li><li>Neural networks: Advances in <a href="https://cointelegraph.com/explained/what-are-convolutional-neural-networks">deep learning</a> have propelled this field forward, but AGI would also require specialist neural networks that mimic the human brain&rsquo;s structure to process information and introduce a layer of emotion and nuance.</li><li>Natural language processing (NLP): Significant advances are required in the <a href="https://cointelegraph.com/news/5-real-world-applications-of-natural-language-processing-nlp">field of NLP</a> to enable machines to better understand and generate human language, incorporating nuance, emotion and complexities. This includes a more complex analysis of language syntax, semantics and context, which is still evolving in traditional machine learning models that leverage NLP.&nbsp;</li><li>Reinforcement learning: Using reward-based mechanisms to teach machines to make decisions would allow AGI to learn optimal behaviors through trial and error.</li></ul>Despite advancements, creating AGI that can truly think like a human remains an elusive goal.Did you know? DeepMind warns that not all AI risks come from the machines themselves &mdash; some start with humans misusing them. In its paper titled &lsquo;An Approach to Technical AGI Safety and Security&rsquo;, DeepMind <a href="https://storage.googleapis.com/deepmind-media/DeepMind.com/Blog/evaluating-potential-cybersecurity-threats-of-advanced-ai/An_Approach_to_Technical_AGI_Safety_Apr_2025.pdf" rel="noopener noreferrer nofollow" target="_blank">identifies</a> four key threats: misuse (bad actors using AI for harm), misalignment (AI knowingly going against its developer&rsquo;s intent), mistakes (AI causes harm without realizing it), and structural risks (failures that emerge from complex interactions between people, organizations, or systems). </div><div data-ct-widget="explained-block" id="explained-block-189352-4"> <h2 data-ct-widget="explained-block-title"> Can AGI think like a human? </h2> The question of whether AGI can think like a human delves into the very core of human cognition. Human thinking is characterized by consciousness, emotional depth, creativity and subjectivity. While AGI can simulate certain aspects of human thought, replicating the full spectrum of human cognition is a formidable challenge.Several dimensions of human cognition are particularly difficult to emulate:<ul><li>Consciousness and self-awareness: One of the defining traits of human thinking is consciousness, the awareness of oneself and one&rsquo;s surroundings. AGI, as sophisticated as it may become, lacks the intrinsic human ability to introspect. AGI operates on an underlying set of algorithms and complex, learned patterns, without any subjectivity or genuine emotion.</li><li>Emotional intelligence: Humans experience a wide range of emotions that influence their decisions, behaviors and interactions. While AGI can be trained to recognize and respond to such emotions, the lack of genuine emotional experience means that it cannot wholly replicate these emotions. Emotional intelligence in humans involves empathy, compassion and moral considerations, elements that are challenging to encode into machines.</li><li>Creativity and innovation: Creativity involves generating novel ideas and solutions, often through intuitive leaps and imaginative thinking. AGI can mimic creativity by combining existing knowledge in new ways, but it lacks the intrinsic motivation and subjective insight that drive human innovation. True creativity stems from emotional experiences, personal reflections and cultural contexts, which AGI cannot authentically replicate.</li></ul> </div><div data-ct-widget="explained-block" id="explained-block-189352-3"> <h2 data-ct-widget="explained-block-title"> Key benefits of AGI </h2> The litmus test for AGI lies in its ability to holistically replicate a human experience. When realized, the potential benefits are enormous and stretch across various industries, spawning various aspects of daily life.Despite its limitations, AGI is increasingly viewed as a force for good across a range of industries, including:<ul><li>Healthcare: AGI can assist in diagnosing diseases, developing personalized treatment plans and predicting customized health outcomes, leveraging a vast body of underlying training data.</li><li>Education: It can provide customized learning experiences, tutoring and academic research support. AGI can adapt to individual learning styles and pace, enhancing educational outcomes.</li><li>Economics: It can optimize financial models, predict market trends, and enhance productivity. It can analyze economic data to forecast market trends and guide investment decisions.</li><li>Environmental Science: AGI can analyze climate data, model ecological impacts, and propose sustainable solutions.</li></ul><img alt="Benjamin Todd on AGI's arrival" src="https://s3.cointelegraph.com/storage/uploads/view/96f74b30824b7d9c961181126d640103.jpg" title="Benjamin Todd on AGI's arrival">Additionally, AGI&rsquo;s potential extends to areas such as transportation, communication and entertainment, offering new frontiers for innovation.Did you know? Some futurists believe AGI systems could eventually negotiate with each other autonomously using blockchain-based smart contracts &mdash; forming agreements, trading data or even co-developing solutions without human intervention. </div><div data-ct-widget="explained-block" id="explained-block-189352-2"> <h2 data-ct-widget="explained-block-title"> Ethical and societal considerations </h2> The rise of AGI raises significant ethical and societal questions.&nbsp;While powerful, AGI requires careful consideration for safe usage, which has prompted the creation of nonprofit societies, such as the AGI Society, as shown in the image below.<img src="https://lh7-rt.googleusercontent.com/docsz/AD_4nXfbLV6w0hFlCj6dlR1M9r_wWALNOl6rQOnaB-0jqjGK3c0KlvqFMXnP3jQI9ZciXy_VlwMx4opN4N4slN7CX4GbUVzedSoPV8BIhU7_BfBENGv5f1fIrxjgC9lO-s3M6OnwZK5sXBinH5P3JslR0g?key=9yh_8phn16Ov2weGbP33uuQb" alt="Artificial general intelligence (AGI): Can it really think like a human?">Fundamentally, it is crucial to address concerns such as:<ul><li>Safety: Ensuring AGI operates within safe and controlled parameters to prevent unintended consequences. This includes robust testing and the introduction of regulatory frameworks to oversee AGI deployment.</li><li>Privacy: Protecting personal data from misuse by AGI systems. As AGI can process vast amounts of data, safeguarding privacy is paramount.</li><li>Bias and fairness: <a href="https://cointelegraph.com/news/bias-in-ai-what-can-blockchains-do-to-ensure-fairness">Preventing discriminatory practices</a> and ensuring equitable access to AGI benefits. Developers must ensure that AGI systems are free from biases that could lead to unfair treatment.</li><li>Employment: Addressing the impact of AGI on job displacement and workforce dynamics. As AGI automates tasks, there is a need to consider its impact on employment and provide support for affected workers.</li></ul>The integration of AGI into society requires a thoughtful approach to its governance, ensuring that it serves the common good and respects social values. </div><div data-ct-widget="explained-block" id="explained-block-189352-1"> <h2 data-ct-widget="explained-block-title"> Can blockchain power AGI? </h2> AGI could create computers as smart as humans, revolutionizing fields like <a href="https://cointelegraph.com/learn/articles/how-to-trade-cryptocurrencies-the-ultimate-beginners-guide">cryptocurrency trading</a> or market analysis. But AGI needs trust and fairness to work for everyone. Blockchain, the tech behind Bitcoin and Ethereum, offers a secure, transparent way to make this happen.&nbsp;Here&rsquo;s how blockchain can supercharge AGI with crypto-inspired solutions:<ul><li>Clear training records: Blockchain works like Bitcoin&rsquo;s open transaction log, recording every piece of data (e.g., crypto trading patterns) used to train AGI. This helps ensure the system is fair and free from hidden biases.</li><li>Shared decision-making: Similar to <a href="https://cointelegraph.com/learn/articles/what-are-smart-contracts-a-beginners-guide-to-automated-agreements">Ethereum&rsquo;s smart contracts</a>, blockchain will allow developers, traders and users to vote on AGI&rsquo;s rules, ensuring no single company controls it.</li><li>Safe data sharing: Like <a href="https://cointelegraph.com/explained/crypto-wallets-explained">crypto wallets</a> safeguarding funds, blockchain could protect sensitive data from crypto exchanges, allowing secure sharing for AGI training without leaks.</li><li>Rewards for fairness: Developers who build unbiased AGI, such as accurate trading predictors, could earn digital tokens, just like <a href="https://cointelegraph.com/news/how-to-mine-bitcoin-at-home">crypto mining</a> rewards, encouraging ethical work.</li></ul>However, ongoing challenges such as blockchain&rsquo;s slow speed, delays in crypto transactions and limited storage capacity could make it hard for AGI to process data quickly or handle large datasets.To make blockchain AGI-ready, researchers are already exploring:<ul><li>Offchain storage: Decentralized systems like <a href="https://cointelegraph.com/learn/articles/what-is-the-interplanetary-file-system-ipfs-how-does-it-work">InterPlanetary File System (IPFS)</a> are used to store large files offchain, while the blockchain keeps only verifiable hashes, reducing congestion.</li><li>Sharding and danksharding: Like Ethereum&rsquo;s scalability upgrades, sharding splits data across multiple nodes, allowing AGI to process more information without slowing down the network. Also, <a href="https://cointelegraph.com/explained/danksharding-and-proto-danksharding-explained">danksharding</a>, an advanced form of sharding being developed for Ethereum, combines rollups and data availability sampling to scale data access efficiently &mdash; ideal for real-time AGI applications.</li><li>Data pruning: Advanced blockchain models like Decentralized Artificial Intelligent Blockchain-based Computing Network (DAIBCN) prune old or irrelevant data, keeping the system lean and optimized for high-demand tasks like AGI. DAIBCN also enables secure, distributed AI computing &mdash; blending blockchain trust with AI performance.</li></ul> </div><div data-ct-widget="explained-block" id="explained-block-189352-0"> <h2 data-ct-widget="explained-block-title"> The future of AGI </h2> Artificial general intelligence represents the pinnacle of AI development, promising capabilities that rival human intellect.&nbsp;While AGI can simulate aspects of human thinking, achieving true human-like cognition remains a distant goal. Consciousness, emotional depth and creativity are intrinsic to human experience and pose significant challenges for AGI.&nbsp;Nevertheless, the pursuit of AGI continues to drive innovation and reshape our understanding of intelligence. As we advance toward this frontier, it is imperative to navigate ethical considerations and societal impacts to responsibly harness AGI&rsquo;s potential.Ongoing research, identifying practical opportunities and technical requirements, and initiating dialogue across society are all essential steps to address the challenges and opportunities posed by AGI.&nbsp;The future of AGI holds promise, but it requires a balanced approach to ensure that its eventual integration into society enhances human well-being and respects ethical standards. </div></div>

What is AGI?            
            
                
When the lines blur between man and machine, you’re looking at artificial general intelligence (AGI). Unlike its counterpart, artificial narrow intelligence (ANI), which is the use of AI for solving individual problem statements, AGI represents artificial intelligence that can understand, learn and apply knowledge in a way that is indistinguishable from human cognition.
AGI is still theoretical, but the prospect of artificial intelligence being able to holistically replace human input and judgment has naturally attracted plenty of interest, with researchers, technologists and academics alike seeking to bring the concept of AGI to reality. 
Yet another strand of prevailing research seeks to explore the feasibility and implications of AGI vs. ANI in a world increasingly shaped by AI capabilities. 

Indeed, while ANI has already transformed various industries, AGI’s potential goes far beyond. Imagine a world where machines can not only assist humans in their tasks but also proactively understand the drivers behind specific tasks, predict outcomes, and autonomously create innovative solutions to achieve optimal results. This paradigm shift could revolutionize healthcare, education, transportation and countless other fields.
                    
            
                Why is AGI so powerful?            
            
                
Unlike ANI, AGI is not confined to pre-programmed tasks or predefined responses within a limited domain. Instead, it has the potential to generate and apply knowledge across various contexts.
Imagine a self-driving car powered by AGI. It can collect a passenger from a train station but also personalize the journey with custom recommendations for pit stops, sightseeing avenues or navigating unfamiliar roads to arrive at the desired destination. And because it’s a machine, AGI would not experience fatigue and would continue learning and improving at exponential speeds. 
Here’s a definition of AGI by Vitalik Buterin, who highlights the sheer potential of AGI:

The example highlights some interesting features of AGI, which include:

Learning capability: AGI can learn from experiences and improve its performance over time without a concerted effort by human programmers to perform additional data set training. This learning is not limited to specific tasks and instead encompasses a broad spectrum of activities.
Problem-solving skills: AGI can solve complex problems by applying logical reasoning just as a human would. This includes consideration of non-traditional variables, such as emotional impact, which can highlight an even wider range of potential outcomes.
Adaptability: AGI can adjust to new situations and environments without explicit programming, which means it can thrive in dynamic and unpredictable settings.
Understanding and interpretation: AGI is equipped to comprehend natural language, abstract concepts and emotional nuance, allowing for sophisticated human-machine interactions.
Did you know? Blockchain timestamps could serve as a legal memory for AGI systems, allowing future audits to determine exactly what an AGI knew — and when.                    
            
                The pursuit of AGI: Where does it stand as of April 2025?            
            
                
AGI is currently the science-fiction version of AI. However, while still theoretical, the sheer potential of the concept makes AGI the science fiction equivalent of artificial intelligence. 
While existing models, such as ChatGPT, are constantly evolving and improving with each day, the journey to bringing AGI to life involves overcoming significant technical challenges, such as:

Defining the tech stack: The purely hypothetical nature of AGI makes it exceedingly difficult, if not altogether impossible, to determine the precise nature of the technological stack required for practical implementation.
Neural networks: Advances in deep learning have propelled this field forward, but AGI would also require specialist neural networks that mimic the human brain’s structure to process information and introduce a layer of emotion and nuance.
Natural language processing (NLP): Significant advances are required in the field of NLP to enable machines to better understand and generate human language, incorporating nuance, emotion and complexities. This includes a more complex analysis of language syntax, semantics and context, which is still evolving in traditional machine learning models that leverage NLP. 
Reinforcement learning: Using reward-based mechanisms to teach machines to make decisions would allow AGI to learn optimal behaviors through trial and error.

Despite advancements, creating AGI that can truly think like a human remains an elusive goal.
Did you know? DeepMind warns that not all AI risks come from the machines themselves — some start with humans misusing them. In its paper titled ‘An Approach to Technical AGI Safety and Security’, DeepMind identifies four key threats: misuse (bad actors using AI for harm), misalignment (AI knowingly going against its developer’s intent), mistakes (AI causes harm without realizing it), and structural risks (failures that emerge from complex interactions between people, organizations, or systems).
                    
            
                Can AGI think like a human?            
            
                
The question of whether AGI can think like a human delves into the very core of human cognition. Human thinking is characterized by consciousness, emotional depth, creativity and subjectivity. While AGI can simulate certain aspects of human thought, replicating the full spectrum of human cognition is a formidable challenge.
Several dimensions of human cognition are particularly difficult to emulate:

Consciousness and self-awareness: One of the defining traits of human thinking is consciousness, the awareness of oneself and one’s surroundings. AGI, as sophisticated as it may become, lacks the intrinsic human ability to introspect. AGI operates on an underlying set of algorithms and complex, learned patterns, without any subjectivity or genuine emotion.
Emotional intelligence: Humans experience a wide range of emotions that influence their decisions, behaviors and interactions. While AGI can be trained to recognize and respond to such emotions, the lack of genuine emotional experience means that it cannot wholly replicate these emotions. Emotional intelligence in humans involves empathy, compassion and moral considerations, elements that are challenging to encode into machines.
Creativity and innovation: Creativity involves generating novel ideas and solutions, often through intuitive leaps and imaginative thinking. AGI can mimic creativity by combining existing knowledge in new ways, but it lacks the intrinsic motivation and subjective insight that drive human innovation. True creativity stems from emotional experiences, personal reflections and cultural contexts, which AGI cannot authentically replicate.
                    
            
                Key benefits of AGI            
            
                
The litmus test for AGI lies in its ability to holistically replicate a human experience. When realized, the potential benefits are enormous and stretch across various industries, spawning various aspects of daily life.
Despite its limitations, AGI is increasingly viewed as a force for good across a range of industries, including:

Healthcare: AGI can assist in diagnosing diseases, developing personalized treatment plans and predicting customized health outcomes, leveraging a vast body of underlying training data.
Education: It can provide customized learning experiences, tutoring and academic research support. AGI can adapt to individual learning styles and pace, enhancing educational outcomes.
Economics: It can optimize financial models, predict market trends, and enhance productivity. It can analyze economic data to forecast market trends and guide investment decisions.
Environmental Science: AGI can analyze climate data, model ecological impacts, and propose sustainable solutions.


Additionally, AGI’s potential extends to areas such as transportation, communication and entertainment, offering new frontiers for innovation.
Did you know? Some futurists believe AGI systems could eventually negotiate with each other autonomously using blockchain-based smart contracts — forming agreements, trading data or even co-developing solutions without human intervention.
                    
            
                Ethical and societal considerations            
            
                
The rise of AGI raises significant ethical and societal questions. 
While powerful, AGI requires careful consideration for safe usage, which has prompted the creation of nonprofit societies, such as the AGI Society, as shown in the image below.

Fundamentally, it is crucial to address concerns such as:

Safety: Ensuring AGI operates within safe and controlled parameters to prevent unintended consequences. This includes robust testing and the introduction of regulatory frameworks to oversee AGI deployment.
Privacy: Protecting personal data from misuse by AGI systems. As AGI can process vast amounts of data, safeguarding privacy is paramount.
Bias and fairness: Preventing discriminatory practices and ensuring equitable access to AGI benefits. Developers must ensure that AGI systems are free from biases that could lead to unfair treatment.
Employment: Addressing the impact of AGI on job displacement and workforce dynamics. As AGI automates tasks, there is a need to consider its impact on employment and provide support for affected workers.

The integration of AGI into society requires a thoughtful approach to its governance, ensuring that it serves the common good and respects social values.
                    
            
                Can blockchain power AGI?            
            
                
AGI could create computers as smart as humans, revolutionizing fields like cryptocurrency trading or market analysis. But AGI needs trust and fairness to work for everyone. Blockchain, the tech behind Bitcoin and Ethereum, offers a secure, transparent way to make this happen. 
Here’s how blockchain can supercharge AGI with crypto-inspired solutions:

Clear training records: Blockchain works like Bitcoin’s open transaction log, recording every piece of data (e.g., crypto trading patterns) used to train AGI. This helps ensure the system is fair and free from hidden biases.
Shared decision-making: Similar to Ethereum’s smart contracts, blockchain will allow developers, traders and users to vote on AGI’s rules, ensuring no single company controls it.
Safe data sharing: Like crypto wallets safeguarding funds, blockchain could protect sensitive data from crypto exchanges, allowing secure sharing for AGI training without leaks.
Rewards for fairness: Developers who build unbiased AGI, such as accurate trading predictors, could earn digital tokens, just like crypto mining rewards, encouraging ethical work.

However, ongoing challenges such as blockchain’s slow speed, delays in crypto transactions and limited storage capacity could make it hard for AGI to process data quickly or handle large datasets.
To make blockchain AGI-ready, researchers are already exploring:

Offchain storage: Decentralized systems like InterPlanetary File System (IPFS) are used to store large files offchain, while the blockchain keeps only verifiable hashes, reducing congestion.
Sharding and danksharding: Like Ethereum’s scalability upgrades, sharding splits data across multiple nodes, allowing AGI to process more information without slowing down the network. Also, danksharding, an advanced form of sharding being developed for Ethereum, combines rollups and data availability sampling to scale data access efficiently — ideal for real-time AGI applications.
Data pruning: Advanced blockchain models like Decentralized Artificial Intelligent Blockchain-based Computing Network (DAIBCN) prune old or irrelevant data, keeping the system lean and optimized for high-demand tasks like AGI. DAIBCN also enables secure, distributed AI computing — blending blockchain trust with AI performance.
                    
            
                The future of AGI            
            
                
Artificial general intelligence represents the pinnacle of AI development, promising capabilities that rival human intellect. 
While AGI can simulate aspects of human thinking, achieving true human-like cognition remains a distant goal. Consciousness, emotional depth and creativity are intrinsic to human experience and pose significant challenges for AGI. 
Nevertheless, the pursuit of AGI continues to drive innovation and reshape our understanding of intelligence. As we advance toward this frontier, it is imperative to navigate ethical considerations and societal impacts to responsibly harness AGI’s potential.
Ongoing research, identifying practical opportunities and technical requirements, and initiating dialogue across society are all essential steps to address the challenges and opportunities posed by AGI. 
The future of AGI holds promise, but it requires a balanced approach to ensure that its eventual integration into society enhances human well-being and respects ethical standards.

The article explores the concept of Artificial General Intelligence (AGI), which aims to replicate human-like cognition, unlike narrow AI (ANI) that focuses on specific tasks. While AGI remains theoretical, its potential to think and learn like humans raises intriguing questions about the future of AI.  

Artificial general intelligence (AGI): Can it really think like a human?

U.S. stocks rallied Friday as better-than-expected job growth and fresh signals from China about trade negotiations helped investors shake off recent concerns around tariffs.&#160; The S&#38;P 500 extended its winning streak to nine days, which is the longest in 20&#8230;

U.S. stocks rallied Friday as better-than-expected job growth and fresh signals from China about trade negotiations helped investors shake off recent concerns around tariffs.  The S&P 500 extended its winning streak to nine days, which is the longest in 20…

U.S. stocks surged on Friday, driven by stronger-than-anticipated job growth and optimistic signals from China regarding trade talks, easing investor worries about tariffs. The S&P 500 extended its rally to nine consecutive days, marking its longest winning streak in two decades.  

S&P 500 climbs toward historic streak as jobs data, China talks boost sentiment

Google has added Zero-Knowledge Proof (ZKP) technology to its Google Wallet platform to strengthen user privacy in digital identity systems. The company confirmed this feature is active and enables users to verify their age across apps, websites, and devices, without disclosing personal information. According to Google: &#8220;We will use ZKP where appropriate in other Google [&#8230;]
The post <a href="https://cryptoslate.com/google-embraces-zero-knowledge-proof-tech-for-enhanced-privacy-in-digital-ids/">Google embraces zero-knowledge proof tech for enhanced privacy in digital IDs</a> appeared first on <a href="https://cryptoslate.com">CryptoSlate</a>.

Google has added Zero-Knowledge Proof (ZKP) technology to its Google Wallet platform to strengthen user privacy in digital identity systems. The company confirmed this feature is active and enables users to verify their age across apps, websites, and devices, without disclosing personal information. According to Google: “We will use ZKP where appropriate in other Google […]
The post Google embraces zero-knowledge proof tech for enhanced privacy in digital IDs appeared first on CryptoSlate.

Google has integrated Zero-Knowledge Proof (ZKP) technology into Google Wallet to enhance privacy in digital identity verification. This allows users to confirm their age across platforms without sharing personal data, with plans to expand ZKP use in other Google services.  

Google embraces zero-knowledge proof tech for enhanced privacy in digital IDs

<img width="768" height="432" src="https://static.news.bitcoin.com/wp-content/uploads/2025/05/gafreq-768x432.jpg" class="attachment-medium_large size-medium_large wp-post-image" alt="" decoding="async" style="float:left; margin:0 15px 15px 0;" srcset="https://static.news.bitcoin.com/wp-content/uploads/2025/05/gafreq-300x169.jpg 300w, https://static.news.bitcoin.com/wp-content/uploads/2025/05/gafreq-1024x576.jpg 1024w, https://static.news.bitcoin.com/wp-content/uploads/2025/05/gafreq-768x432.jpg 768w, https://static.news.bitcoin.com/wp-content/uploads/2025/05/gafreq-190x107.jpg 190w, https://static.news.bitcoin.com/wp-content/uploads/2025/05/gafreq-380x214.jpg 380w, https://static.news.bitcoin.com/wp-content/uploads/2025/05/gafreq-760x428.jpg 760w, https://static.news.bitcoin.com/wp-content/uploads/2025/05/gafreq.jpg 1280w" sizes="(max-width: 768px) 100vw, 768px" />This content is provided by a sponsor. PRESS RELEASE. May 2, 2025 &#8211; BTCC, one of the world&#8217;s longest-serving cryptocurrency exchanges, made a spectacular splash on the first day of TOKEN2049 Dubai with its eye-catching basketball-themed booth and widely popular mascot Nakamon, attracting thousands of crypto enthusiasts, traders, and industry professionals. Following the announcement of [&#8230;]

This content is provided by a sponsor. PRESS RELEASE. May 2, 2025 – BTCC, one of the world’s longest-serving cryptocurrency exchanges, made a spectacular splash on the first day of TOKEN2049 Dubai with its eye-catching basketball-themed booth and widely popular mascot Nakamon, attracting thousands of crypto enthusiasts, traders, and industry professionals. Following the announcement of […]

BTCC Exchange made a memorable debut at TOKEN2049 Dubai with a basketball-themed booth and its viral mascot Nakamon, drawing large crowds of crypto enthusiasts and industry professionals on the event's opening day.  

BTCC Exchange Scores Big on Day One of TOKEN2049 Dubai With Interactive Basketball Experience and Viral Mascot Nakamon

The stablecoin USD1, issued by World Liberty Financial, has been chosen to handle a major $2 billion investment from MGX into Binance, according to reports. This move marks a new chapter for the crypto exchange and adds fresh attention to the stablecoin space. Related Reading: The Bitcoin That Got Away: Docuseries Explores $800 Million Trash [&#8230;]

The stablecoin USD1, issued by World Liberty Financial, has been chosen to handle a major $2 billion investment from MGX into Binance, according to reports. This move marks a new chapter for the crypto exchange and adds fresh attention to the stablecoin space. Related Reading: The Bitcoin That Got Away: Docuseries Explores $800 Million Trash […]

The stablecoin USD1, issued by World Liberty Financial and linked to former President Trump, has been selected to facilitate a $2 billion investment from Abu Dhabi's MGX into Binance. This partnership highlights growing institutional interest in stablecoins and strengthens Binance's position in the crypto market.  

Trump-Linked Stablecoin USD1 Fuels $2 Billion Binance–Abu Dhabi Power Move

<img src="https://images.cointelegraph.com/images/840_aHR0cHM6Ly9zMy5jb2ludGVsZWdyYXBoLmNvbS91cGxvYWRzLzIwMjUtMDUvMDE5NjkyNzUtYWEwZS03ZTBkLTg2N2EtMTU3MTdlZjhkMTcy.jpg"><img src="https://images.cointelegraph.com/images/840_aHR0cHM6Ly9zMy5jb2ludGVsZWdyYXBoLmNvbS91cGxvYWRzLzIwMjUtMDUvMDE5NjkyNzUtYWEwZS03ZTBkLTg2N2EtMTU3MTdlZjhkMTcy.jpg" alt="Crypto skeptic to release SBF, Mashinsky interviews in documentary">Ben McKenzie, an actor known for his roles on television shows including Gotham and The OC, will make his directorial debut in a scathing documentary about cryptocurrency.According to an April 29 Deadline <a data-ct-non-breakable="null" href="https://deadline.com/2025/04/ben-mckenzie-makes-directing-debut-on-crypto-documentary-1236379778/" rel="null" target="null" text="null" title="null">report</a>, McKenzie wrote, directed, and produced the documentary Everyone Is Lying To You For Money, set to premiere at SXSW London in June. The film features footage from 2022 of former FTX CEO Sam &ldquo;SBF&rdquo; Bankman-Fried and former Celsius CEO Alex Mashinsky before their respective companies folded.&nbsp;&ldquo;Why is the false story of crypto still spreading?&rdquo; said McKenzie, according to Deadline. &ldquo;That&rsquo;s the question I set out to answer with this film.&rdquo;<figure><img alt="Movie, Hollywood, Sam Bankman-Fried, FTX, Celsius" src="https://s3.cointelegraph.com/uploads/2025-05/01969257-d918-79c9-9c4d-4925f65ee265" title=""><figcaption style="text-align: center;">Sam Bankman-Fried (left) with Ben McKenzie (right). Source: <a data-ct-non-breakable="null" href="https://www.instagram.com/mrbenmckenzie/p/DJCkz_XJp4Y/?img_index=1" rel="nofollow noopener" target="_blank" text="null" title="https://www.instagram.com/mrbenmckenzie/p/DJCkz_XJp4Y/?img_index=1">Instagram</a></figcaption></figure>Working with The New Republic staff writer Jacob Silverman, McKenzie pivoted from a role in Hollywood to speaking out against many of the issues surrounding cryptocurrency in 2021. After the collapse of FTX in November 2022, the actor <a data-ct-non-breakable="null" href="https://cointelegraph.com/news/who-s-expected-to-testify-before-congressional-hearings-on-ftx" rel="null" target="null" text="null" title="null">testified at a US Senate hearing</a> investigating the downfall of the crypto exchange.&nbsp;In addition to interviews with SBF and Mashinsky, the documentary will reportedly explore El Salvador President Nayib Bukele&rsquo;s connections to crypto. Bukele rose to prominence in the industry after proposing that El Salvador recognize Bitcoin (<a data-ct-non-breakable="null" href="https://cointelegraph.com/bitcoin-price" rel="null" target="null" text="null" title="null">BTC</a>) as legal tender in 2021.<template data-ct-widget="buzzsprout" data-buzzsprout-podcast-id="2040516" data-buzzsprout-episode-id="16834588"></template>Related: <a data-ct-non-breakable="null" href="https://cointelegraph.com/news/peter-todd-forced-hiding-hbo-doc-claims-invented-bitcoin" rel="null" target="null" text="null" title="null">Peter Todd forced into hiding after HBO doc claims he invented Bitcoin</a>It&rsquo;s unclear what, if anything, could be revealed in the Bankman-Fried and Mashinsky interviews. Cointelegraph reached out to McKenzie for comment but did not receive a response at the time of publication.<h2>Bankman-Fried in prison, Mashinsky could soon follow </h2>The former FTX CEO has been the subject of other documentaries, interviews, and a Michael Lewis book. Bankman-Fried was found guilty on seven felony charges related to his role in the collapse of FTX and sentenced to 25 years in prison in 2024.Mashinsky, who <a data-ct-non-breakable="null" href="https://cointelegraph.com/news/alex-mashinsky-celsius-pleads-guilty-plea-deal" rel="null" target="null" text="null" title="null">pleaded guilty to two felony charges</a> as part of a deal with US prosecutors in December 2024, is scheduled to be sentenced on May 8. Authorities requested that a judge <a data-ct-non-breakable="null" href="https://cointelegraph.com/news/celsius-alex-mashinsky-20-year-sentence-doj" rel="null" target="null" text="null" title="null">impose a 20-year sentenc</a>e on the former CEO of Celsius.Magazine: <a data-ct-non-breakable="null" href="https://cointelegraph.com/magazine/2500-film-about-ftx-collapse-amazon-prime-with-help-from-mom/" rel="null" target="null" text="null" title="null">The $2,500 doco about FTX collapse on Amazon Prime&hellip; with help from mom</a><template data-name="subscription_form" data-type="markets_outlook" label="Subscription Form: Markets Outlook"></template>

Ben McKenzie, an actor known for his roles on television shows including Gotham and The OC, will make his directorial debut in a scathing documentary about cryptocurrency.
According to an April 29 Deadline report, McKenzie wrote, directed, and produced the documentary Everyone Is Lying To You For Money, set to premiere at SXSW London in June. The film features footage from 2022 of former FTX CEO Sam “SBF” Bankman-Fried and former Celsius CEO Alex Mashinsky before their respective companies folded. 
“Why is the false story of crypto still spreading?” said McKenzie, according to Deadline. “That’s the question I set out to answer with this film.”
Sam Bankman-Fried (left) with Ben McKenzie (right). Source: Instagram
Working with The New Republic staff writer Jacob Silverman, McKenzie pivoted from a role in Hollywood to speaking out against many of the issues surrounding cryptocurrency in 2021. After the collapse of FTX in November 2022, the actor testified at a US Senate hearing investigating the downfall of the crypto exchange. 
In addition to interviews with SBF and Mashinsky, the documentary will reportedly explore El Salvador President Nayib Bukele’s connections to crypto. Bukele rose to prominence in the industry after proposing that El Salvador recognize Bitcoin (BTC) as legal tender in 2021.

Related: Peter Todd forced into hiding after HBO doc claims he invented Bitcoin
It’s unclear what, if anything, could be revealed in the Bankman-Fried and Mashinsky interviews. Cointelegraph reached out to McKenzie for comment but did not receive a response at the time of publication.
Bankman-Fried in prison, Mashinsky could soon follow 
The former FTX CEO has been the subject of other documentaries, interviews, and a Michael Lewis book. Bankman-Fried was found guilty on seven felony charges related to his role in the collapse of FTX and sentenced to 25 years in prison in 2024.
Mashinsky, who pleaded guilty to two felony charges as part of a deal with US prosecutors in December 2024, is scheduled to be sentenced on May 8. Authorities requested that a judge impose a 20-year sentence on the former CEO of Celsius.
Magazine: The $2,500 doco about FTX collapse on Amazon Prime… with help from mom

Actor Ben McKenzie makes his directorial debut with a critical documentary titled *Everyone Is Lying To You For Money*, featuring interviews with disgraced crypto figures Sam Bankman-Fried (FTX) and Alex Mashinsky (Celsius) before their companies collapsed. The film is set to premiere at SXSW London in June.  

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