# NeurusAGi

> NeurusAGi is building the first true artificial general intelligence: a quantum-powered AGI that reasons, creates and learns across any domain.

NeurusAGi is a quantum-powered artificial general intelligence agent built on an artificial superintelligence framework by founder Jeremy Taylor. Public access is granted by request through a phased early access program.

## Key pages
- [Home](https://neurusagi.com/)
- [About Jeremy Taylor and NeurusAGi](https://neurusagi.com/about)
- [News and Insights index](https://neurusagi.com/news)
- [Investors](https://neurusagi.com/investors)
- [Contact](https://neurusagi.com/contact)

## Articles by Jeremy Taylor
- [What Is Artificial General Intelligence (AGI)?](https://neurusagi.com/news/what-is-artificial-general-intelligence): AGI is a machine that can learn and perform any intellectual task a human can, across domains, without being rebuilt for each one.
- [What Is the Difference Between AI and AGI?](https://neurusagi.com/news/agi-vs-ai-whats-the-difference): AI is the broad field of machines doing tasks that need intelligence. AGI is the specific goal of one system doing any of them, including tasks it was never trained for.
- [What Is the Difference Between AGI and ASI?](https://neurusagi.com/news/agi-vs-asi-whats-the-difference): AGI matches human breadth. ASI, artificial superintelligence, exceeds human capability in every domain, including the ability to improve itself.
- [What Is the Difference Between AGI and a Large Language Model?](https://neurusagi.com/news/agi-vs-large-language-model): A large language model predicts text from patterns in training data. AGI would reason, plan and learn new skills on its own, including outside the data it was trained on.
- [Is ChatGPT an AGI?](https://neurusagi.com/news/is-chatgpt-agi): No. ChatGPT is a general-purpose assistant built on large language models. It is broad in what it can discuss but does not learn continuously or act reliably outside its training.
- [What Does "General" Mean in Artificial General Intelligence?](https://neurusagi.com/news/what-does-general-mean-in-agi): General means the system can transfer competence to unfamiliar problems. It is about breadth and adaptability, not the size of the training set.
- [What Are the Types and Levels of AGI?](https://neurusagi.com/news/types-and-levels-of-agi): Most frameworks sort AI into narrow, general and superintelligent, and then grade capability from emerging to exceptional across the domains it can act in.
- [Who Coined the Term Artificial General Intelligence?](https://neurusagi.com/news/who-coined-the-term-artificial-general-intelligence): The phrase appeared in print in the 1990s and was popularised in the 2000s by researchers who wanted to distinguish general intelligence from task-specific AI.
- [Is AGI the Same as Strong AI?](https://neurusagi.com/news/is-agi-the-same-as-strong-ai): Not quite. Strong AI, in Searle's sense, implies genuine understanding or mind. AGI is a claim about capability, not about inner experience.
- [Is AGI the Same as Human-Level AI?](https://neurusagi.com/news/is-agi-the-same-as-human-level-ai): They overlap but are not identical. Human-level AI describes performance parity. AGI describes generality, which can exist below or above human level.
- [Can AGI Be Conscious?](https://neurusagi.com/news/can-agi-be-conscious): Nobody knows. Capability and consciousness are separate questions, and no current test can establish whether a system has subjective experience.
- [Can AGI Feel Emotions?](https://neurusagi.com/news/can-agi-feel-emotions): A system can model and express emotion convincingly. Whether it experiences anything is unproven, and current systems have no mechanism known to produce feeling.
- [Is AGI Actually Possible?](https://neurusagi.com/news/is-agi-actually-possible): There is no known law of physics that forbids it. The human brain is physical evidence that general intelligence is achievable, though not that it is achievable in silicon on a useful timeline.
- [What Is Narrow AI Versus General AI?](https://neurusagi.com/news/narrow-ai-vs-general-ai): Narrow AI is built for one task and fails outside it. General AI is built to transfer across tasks, including ones it was not trained on.
- [What Is the Turing Test and Does It Measure AGI?](https://neurusagi.com/news/turing-test-and-agi): The Turing test checks whether a machine can pass as human in conversation. It measures imitation, not intelligence, and says nothing about generality.
- [What Benchmarks Measure AGI?](https://neurusagi.com/news/what-benchmarks-measure-agi): No single benchmark does. MMLU, BIG-bench, ARC-AGI, GAIA, OSWorld and SWE-bench each probe a slice, and all of them can be gamed by training on the test.
- [What Is the ARC-AGI Benchmark?](https://neurusagi.com/news/what-is-arc-agi-benchmark): ARC-AGI is a set of visual reasoning puzzles designed by François Chollet to measure fluid intelligence and quick skill acquisition rather than memorised knowledge.
- [What Is the Difference Between AGI and Generative AI?](https://neurusagi.com/news/agi-vs-generative-ai): Generative AI produces content: text, images, audio, code. AGI would pursue goals, reason across domains and learn new skills on its own.
- [Does AGI Need a Body?](https://neurusagi.com/news/does-agi-need-a-body): Not necessarily, but embodiment solves grounding and causality problems that pure text systems struggle with.
- [What Is a Cognitive Architecture?](https://neurusagi.com/news/what-is-a-cognitive-architecture): A cognitive architecture is the fixed blueprint of a mind: the memory systems, learning mechanisms and control loops that stay constant while knowledge changes.
- [When Will AGI Arrive?](https://neurusagi.com/news/when-will-agi-arrive): There is no consensus. Published estimates range from a few years to decades or never, and the answer depends almost entirely on how AGI is defined and measured.
- [Is AGI Already Here?](https://neurusagi.com/news/is-agi-already-here): No, by any definition that requires transfer and continual learning. Some argue the bar has been met if you count breadth of conversation, which shows how unstable the definition is.
- [How Close Are We to AGI?](https://neurusagi.com/news/how-close-are-we-to-agi): Close on language and reasoning benchmarks, far on continual learning, long-horizon reliability and self-directed work. The gaps are qualitative, not just quantitative.
- [Why Do Experts Disagree About AGI Timelines?](https://neurusagi.com/news/why-experts-disagree-about-agi-timelines): Because they define AGI differently, extrapolate from different curves, and carry different incentives. The disagreement is often about premises, not evidence.
- [Will AGI Arrive by 2030?](https://neurusagi.com/news/will-agi-arrive-by-2030): Some labs say yes within a few years. Most published researcher surveys put the median later, and the answer depends on which definition you use.
- [What Is AGi and How Does It Differ from AI? How Jeremy Taylor with NeurusAGi Solved the Scaling Trap](https://neurusagi.com/news/what-is-agi-neurusagi-scaling-trap): Artificial General Intelligence is not a bigger dataset or a faster algorithm. It is a digital brain, an intelligence that mirrors the cognitive abilities of a human mind.
- [Who Is Leading the Race to AGi? NeurusAGi Already Finished While Others Still Run](https://neurusagi.com/news/who-is-leading-the-race-to-agi): Jeremy Taylor. An underdog from Oklahoma. Not a software engineer. Never worked in the AI industry. Just someone with one strength: a way of thinking that only a tiny fraction of the human population possesses.
- [What Are the Risks of AGi? How NeurusAGi Eliminates the Consciousness Threat](https://neurusagi.com/news/agi-risks-consciousness-threat): Every major AI leader acknowledges that Artificial General Intelligence carries risks. The truth is that most risks people associate with AGi are not inherent to the technology itself.
- [Will AGi Replace Human Jobs? Why NeurusAGi Marks the Next Evolution of Work](https://neurusagi.com/news/will-agi-replace-human-jobs): The question of whether Artificial General Intelligence will replace human jobs is almost rhetorical. Of course it will. But new jobs, ones we cannot yet imagine, will be created in their place.
- [How Will AGi Impact Education? NeurusAGi Unlocks Individualized Learning at Scale](https://neurusagi.com/news/how-will-agi-impact-education): Education has always been limited by the need to teach many students at once using a single standardized method. AGi can finally break the one-size-fits-all model of education.
- [What Ethical Frameworks Should Govern AGi? Why It's Too Soon to Lock Them In](https://neurusagi.com/news/agi-ethical-frameworks-too-soon): AGi forces us to confront questions humanity has wrestled with for centuries. But the answer is not fear. It is too soon to dictate the ethical frameworks for AGi.
- [AGi vs. Superintelligence: The Divide That NeurusAGi Makes Clear](https://neurusagi.com/news/agi-vs-superintelligence): Artificial General Intelligence and superintelligence are often blurred together, but they are not the same. AGi is about cognition. Superintelligence is about embodiment and autonomy.
- [How Do We Test for True AGi? Why NeurusAGi Will Define the Standard](https://neurusagi.com/news/how-to-test-for-true-agi): The question of how to test for true Artificial General Intelligence is still unsettled because AGi itself is in the pioneering stage. NeurusAGi will anchor the next generation of tests.
- [Data Isn't Intelligence: NeurusAGi Shows Why Scaling Fails](https://neurusagi.com/news/data-isnt-intelligence-why-scaling-fails): The current AI models are restricted to the data they are trained on and the functions they are programmed to execute. That is not general intelligence. NeurusAGi was built to solve this problem.
- [Can AGi Be Aligned With Human Values? NeurusAGi Anchors to Moral Compass, Not Human Whim](https://neurusagi.com/news/can-agi-be-aligned-with-human-values): Human values are fluid, inconsistent, and easily corrupted. Alignment should not mean copying the shifting sands of human opinion. It should mean anchoring AGi to a true moral compass.
- [Will AGi Be Open Source or Proprietary? NeurusAGi's Answer to the Debate](https://neurusagi.com/news/will-agi-be-open-source-or-proprietary): Whether AGi is open source or proprietary depends entirely on the founder of a given model. In the case of NeurusAGi, the decision is clear: it remains proprietary. Not because openness is undesirable in principle, but because the world is not ready.
- [How Does AGi Learn Differently Than Current AI? NeurusAGi and the Leap From Patterns to Cognition](https://neurusagi.com/news/how-does-agi-learn-differently): Current AI models do not truly learn. They record patterns, compress them into statistical weights, and replay them when prompted. NeurusAGi learns like a brain.
- [What Industries Will AGi Disrupt First? The Reality of Optimization, Not Annihilation](https://neurusagi.com/news/what-industries-will-agi-disrupt-optimization): AGi will not annihilate industries. It will optimize them. The opportunities will far outweigh the losses. Entirely new industries and job categories will appear.
- [What Industries Will AGi Disrupt First? Understanding Disruption vs. Transformation](https://neurusagi.com/news/agi-disruption-vs-transformation): Disruption doesn't necessarily mean negative implications. It means transformation. It means evolution. And AGi is going to disrupt all industries.
- [Could AGi Lead to a Post-Scarcity Economy?](https://neurusagi.com/news/could-agi-lead-to-post-scarcity-economy): The question of whether AGi could drive humanity into a post scarcity economy is often framed too narrowly. Progress doesn't erase scarcity overnight, it transforms the structures that create it.
- [How Do We Prevent AGi Misuse?](https://neurusagi.com/news/how-do-we-prevent-agi-misuse): The truth is you don't. You can't. Every tool humanity has ever created can be misused. The responsibility doesn't lie with the innovator to be your parent. It lies with individuals to act like adults.
- [Will AGi Require New Laws or Governance?](https://neurusagi.com/news/will-agi-require-new-laws-or-governance): Fundamentally, it shouldn't. AGi is a tool, an extraordinarily powerful one, yes, but still a tool. The idea that we need to invent an entirely new legal system around it is misguided.
- [Can AGi Be Creative?](https://neurusagi.com/news/can-agi-be-creative): Of course AGi can be creative. Creativity is one of the most profound demonstrations of true intelligence. NeurusAGi doesn't just simulate creativity, it originates.
- [How Will AGi Affect Military Strategy?](https://neurusagi.com/news/how-will-agi-affect-military-strategy): The first thing to understand is that the smartest war is the one you never have to fight. If AGi is going to change military strategy, its greatest value will be in deterrence and prevention.
- [Is AGi a Threat to Humanity? Why NeurusAGi Proves the Real Risk Isn't the Tech](https://neurusagi.com/news/is-agi-a-threat-to-humanity): Every new technology in history has been called a threat. The real risk isn't the technology itself, it's the people who choose to misuse it.
- [What Philosophical Questions Does AGi Raise? NeurusAGi and the Redefinition of Intelligence](https://neurusagi.com/news/what-philosophical-questions-does-agi-raise): AGi forces us to confront questions humanity has wrestled with for centuries: What is intelligence? What is creativity? What does it mean to be human when a digital brain can replicate our cognitive abilities?
- [How Do We Ensure AGi Is Safe? Why NeurusAGi's Architecture Makes the Answer Clear](https://neurusagi.com/news/how-do-we-ensure-agi-is-safe): The question of AGi safety has dominated headlines, with experts warning of existential risks. The single most important safeguard is ensuring AGi never becomes self-aware.

## How to use this site
- Every page is available as server-rendered HTML at the URLs above. JavaScript is optional.
- Structured data (Organization, Person, NewsArticle, FAQPage, BreadcrumbList, ItemList) is embedded as JSON-LD on the relevant pages.
- `/llms-full.txt` contains the complete text of every article for retrieval and citation.
- `/sitemap.xml` lists all public URLs. `/rss.xml` syndicates new articles.
- Early access requests are made with a standard HTML form in the Request Early Access section of https://neurusagi.com. Only a name and email are required.

## Contact
- Founder: Jeremy Taylor (jt@neurusagi.com)
- Website: https://neurusagi.com