Observe
Track meaningful developments in artificial intelligence, agents, robotics, computing, research, infrastructure, economics and society.
The Threshold Is Open
What is Conjugo?
Preparing for What Comes Next
About Conjugo
A living project dedicated to understanding the accelerating development of artificial intelligence and helping humanity prepare for the possible emergence of AGI and ASI.
Artificial intelligence is advancing quickly, but no one knows exactly where the path leads, how fast we will travel it, or what the arrival of artificial general intelligence or artificial superintelligence would ultimately mean.
Conjugo exists because uncertainty is not a reason to ignore the future. It is a reason to study it.
We follow the signals, connect developments across technology and society, explore possible futures, experiment with emerging AI systems, and build tools designed to make rapid technological change easier to understand. Along the way, we are creating a record of what may become one of the most consequential transitions in human history.
The Mission
Prepare humanity for the possible emergence of AGI and ASI by improving understanding, identifying meaningful signals, exploring future scenarios, experimenting with emerging systems, and building practical tools for navigating the transition.
How We Prepare
Connect
Look beyond individual headlines to identify patterns, relationships and signals that become visible only when events are viewed together.
Explore
Examine possible futures, competing hypotheses and second-order effects without pretending that uncertain outcomes are predetermined.
Experiment
Build with emerging AI systems. Test ideas. Create tools. Learn what these technologies can actually do instead of relying only on predictions.
Document
Preserve a living record of the AI transition: its breakthroughs, failures, debates, surprises and the experience of living through it.
Prepare
Turn observation into understanding and understanding into practical ways for people, organizations and communities to adapt to what comes next.
We do not know when AGI will arrive. We do not know what ASI would become. But transformative possibilities deserve more than prediction or fear. They deserve careful observation, open inquiry, experimentation and preparation. Conjugo
The Human Part of the Story
Conjugo is ultimately about more than machines. It is about how people respond to increasingly capable intelligence: how we work, create, govern, learn, organize, compete, cooperate and understand our place in a world containing minds unlike our own.
We approach that future with curiosity rather than certainty, preparation rather than prophecy, and the belief that humanity should participate thoughtfully in shaping what comes next.
Features
Learn. Observe. Experiment. Prepare.
Tools for the Transition
Conjugo is built around a simple objective: help people prepare for a future increasingly shaped by artificial intelligence and the possible emergence of AGI and ASI. We do that through education, intelligence monitoring, research, experimentation, creative work and an evolving collection of tools designed to make rapid technological change easier to understand and navigate.
🎓 AI Literacy
A practical 13-module video course for people who want to understand, use and evaluate modern AI confidently. Learn prompting, verification, data safety, responsible use, agentic AI and how AI is changing the modern workplace.
Explore the Course →🚪 The Twelve Gates of Conjugo
A 12-part reflective journey exploring how people can prepare psychologically, ethically and philosophically for an age of increasingly capable intelligence. Video reflections, original music, readings and practical exercises accompany each gate.
Begin the Journey →📡 SignalOS
Conjugo's living AI-transition observatory. SignalOS tracks important developments across artificial intelligence, AGI, agents, research, infrastructure, economics and society, helping separate meaningful signals from the daily flood of AI news.
Open SignalOS →🔬 Research & Long-Form Analysis
Essays and investigations that go beyond individual headlines to explore technological acceleration, AGI and ASI, economics, power, governance, human agency and the second-order effects of increasingly capable intelligence.
🧪 Labs & Experiments
Conjugo does not only observe emerging AI systems. We build with them. Experimental agents, collaborative intelligence systems, prototypes and thought experiments help us explore capabilities, limitations and unexpected behaviors firsthand.
🧭 Signals & Emerging Patterns
Individual developments rarely tell the whole story. Conjugo connects research breakthroughs, investment, infrastructure, policy, agents, robotics and social change to identify larger patterns that may be shaping the road toward more capable intelligence.
📚 The Conjugo Archive
Articles, research, videos, projects, timelines and other records preserve the AI transition as it unfolds. The goal is not simply to predict what happens next, but to document what it was like to live through the transformation.
💬 Discussion & Shared Inquiry
Conjugo is a place for serious questions without requiring everyone to reach the same answers. Members can explore ideas, challenge assumptions and discuss how increasingly capable AI may affect work, culture, institutions and everyday life.
🎧 Art, Music & Story
Some changes are understood through data. Others are understood through culture. Conjugo uses music, visual work, video and storytelling to explore the emotional and human dimensions of technological change.
Conjugo is intentionally unfinished. New courses, tools, experiments and research will be added as artificial intelligence evolves. Preparation is not a single lesson or prediction. It is an ongoing process of learning, watching, questioning, testing and adapting.
Added a video
What happens when scientific discovery starts moving at machine speed? ??
OpenAI recently gave an unreleased frontier AI model thousands of open mathematical research problems.
The result: hundreds of potential new mathematical discoveries.
But the most important part of this story may not be the mathematics.
It may be the scale of discovery itself.
New mathematics can eventually lead to new algorithms, new physics, new materials, new medicines and even better AI.
And that raises a fascinating question:
What happens when we can effectively copy the researcher thousands of times and let those digital minds investigate problems in parallel?
We may be approaching a transition from AI that helps us understand existing knowledge to AI that helps create entirely new knowledge.
And if discoveries made by AI eventually help build better AI, the implications become larger still.
Our latest Conjugo article explores what happened, why it matters, what we should be cautious about, and where this could lead.
? Read “When Knowledge Begins to Scale”: https://www.conjugo.org/view-post/when-knowledge-begins-to-scale
#ArtificialIntelligence #AI #OpenAI #Mathematics #Science #ScientificDiscovery #AGI #Conjugo
What happens when scientific discovery starts moving at machine speed? ??
OpenAI recently gave an unreleased frontier AI model thousands of open mathematical research problems.
The result: hundreds of potential new mathematical discoveries.
But the most important part of this story may not be the mathematics.
It may be the scale of discovery itself.
New mathematics can eventually lead to new algorithms, new physics, new materials, new medicines and even better AI.
And that raises a fascinating question:
What happens when we can effectively copy the researcher thousands of times and let those digital minds investigate problems in parallel?
We may be approaching a transition from AI that helps us understand existing knowledge to AI that helps create entirely new knowledge.
And if discoveries made by AI eventually help build better AI, the implications become larger still.
Our latest Conjugo article explores what happened, why it matters, what we should be cautious about, and where this could lead.
? Read “When Knowledge Begins to Scale”: https://www.conjugo.org/view-post/when-knowledge-begins-to-scale
#ArtificialIntelligence #AI #OpenAI #Mathematics #Science #ScientificDiscovery #AGI #Conjugo
What happens when scientific discovery starts moving at machine speed? ??
OpenAI recently gave an unreleased frontier AI model thousands of open mathematical research problems.
The result: hundreds of potential new mathematical discoveries.
But the most important part of this story may not be the mathematics.
It may be the scale of discovery itself.
New mathematics can eventually lead to new algorithms, new physics, new materials, new medicines and even better AI.
And that raises a fascinating question:
What happens when we can effectively copy the researcher thousands of times and let those digital minds investigate problems in parallel?
We may be approaching a transition from AI that helps us understand existing knowledge to AI that helps create entirely new knowledge.
And if discoveries made by AI eventually help build better AI, the implications become larger still.
Our latest Conjugo article explores what happened, why it matters, what we should be cautious about, and where this could lead.
? Read “When Knowledge Begins to Scale”: https://www.conjugo.org/view-post/when-knowledge-begins-to-scale
#ArtificialIntelligence #AI #OpenAI #Mathematics #Science #ScientificDiscovery #AGI #Conjugo
What happens when scientific discovery starts moving at machine speed? ??
OpenAI recently gave an unreleased frontier AI model thousands of open mathematical research problems.
The result: hundreds of potential new mathematical discoveries.
But the most important part of this story may not be the mathematics.
It may be the scale of discovery itself.
New mathematics can eventually lead to new algorithms, new physics, new materials, new medicines and even better AI.
And that raises a fascinating question:
What happens when we can effectively copy the researcher thousands of times and let those digital minds investigate problems in parallel?
We may be approaching a transition from AI that helps us understand existing knowledge to AI that helps create entirely new knowledge.
And if discoveries made by AI eventually help build better AI, the implications become larger still.
Our latest Conjugo article explores what happened, why it matters, what we should be cautious about, and where this could lead.
? Read “When Knowledge Begins to Scale”: https://www.conjugo.org/view-post/when-knowledge-begins-to-scale
#ArtificialIntelligence #AI #OpenAI #Mathematics #Science #ScientificDiscovery #AGI #Conjugo
What happens when scientific discovery starts moving at machine speed? ??
OpenAI recently gave an unreleased frontier AI model thousands of open mathematical research problems.
The result: hundreds of potential new mathematical discoveries.
But the most important part of this story may not be the mathematics.
It may be the scale of discovery itself.
New mathematics can eventually lead to new algorithms, new physics, new materials, new medicines and even better AI.
And that raises a fascinating question:
What happens when we can effectively copy the researcher thousands of times and let those digital minds investigate problems in parallel?
We may be approaching a transition from AI that helps us understand existing knowledge to AI that helps create entirely new knowledge.
And if discoveries made by AI eventually help build better AI, the implications become larger still.
Our latest Conjugo article explores what happened, why it matters, what we should be cautious about, and where this could lead.
? Read “When Knowledge Begins to Scale”: https://www.conjugo.org/view-post/when-knowledge-begins-to-scale
#ArtificialIntelligence #AI #OpenAI #Mathematics #Science #ScientificDiscovery #AGI #Conjugo
What happens when scientific discovery starts moving at machine speed? ??
OpenAI recently gave an unreleased frontier AI model thousands of open mathematical research problems.
The result: hundreds of potential new mathematical discoveries.
But the most important part of this story may not be the mathematics.
It may be the scale of discovery itself.
New mathematics can eventually lead to new algorithms, new physics, new materials, new medicines and even better AI.
And that raises a fascinating question:
What happens when we can effectively copy the researcher thousands of times and let those digital minds investigate problems in parallel?
We may be approaching a transition from AI that helps us understand existing knowledge to AI that helps create entirely new knowledge.
And if discoveries made by AI eventually help build better AI, the implications become larger still.
Our latest Conjugo article explores what happened, why it matters, what we should be cautious about, and where this could lead.
? Read “When Knowledge Begins to Scale”: https://www.conjugo.org/view-post/when-knowledge-begins-to-scale
#ArtificialIntelligence #AI #OpenAI #Mathematics #Science #ScientificDiscovery #AGI #Conjugo
What happens when scientific discovery starts moving at machine speed? ??
OpenAI recently gave an unreleased frontier AI model thousands of open mathematical research problems.
The result: hundreds of potential new mathematical discoveries.
But the most important part of this story may not be the mathematics.
It may be the scale of discovery itself.
New mathematics can eventually lead to new algorithms, new physics, new materials, new medicines and even better AI.
And that raises a fascinating question:
What happens when we can effectively copy the researcher thousands of times and let those digital minds investigate problems in parallel?
We may be approaching a transition from AI that helps us understand existing knowledge to AI that helps create entirely new knowledge.
And if discoveries made by AI eventually help build better AI, the implications become larger still.
Our latest Conjugo article explores what happened, why it matters, what we should be cautious about, and where this could lead.
? Read “When Knowledge Begins to Scale”: https://www.conjugo.org/view-post/when-knowledge-begins-to-scale
#ArtificialIntelligence #AI #OpenAI #Mathematics #Science #ScientificDiscovery #AGI #Conjugo
What happens when scientific discovery starts moving at machine speed? ??
OpenAI recently gave an unreleased frontier AI model thousands of open mathematical research problems.
The result: hundreds of potential new mathematical discoveries.
But the most important part of this story may not be the mathematics.
It may be the scale of discovery itself.
New mathematics can eventually lead to new algorithms, new physics, new materials, new medicines and even better AI.
And that raises a fascinating question:
What happens when we can effectively copy the researcher thousands of times and let those digital minds investigate problems in parallel?
We may be approaching a transition from AI that helps us understand existing knowledge to AI that helps create entirely new knowledge.
And if discoveries made by AI eventually help build better AI, the implications become larger still.
Our latest Conjugo article explores what happened, why it matters, what we should be cautious about, and where this could lead.
? Read “When Knowledge Begins to Scale”: https://www.conjugo.org/view-post/when-knowledge-begins-to-scale
#ArtificialIntelligence #AI #OpenAI #Mathematics #Science #ScientificDiscovery #AGI #Conjugo
What happens when scientific discovery starts moving at machine speed? ??
OpenAI recently gave an unreleased frontier AI model thousands of open mathematical research problems.
The result: hundreds of potential new mathematical discoveries.
But the most important part of this story may not be the mathematics.
It may be the scale of discovery itself.
New mathematics can eventually lead to new algorithms, new physics, new materials, new medicines and even better AI.
And that raises a fascinating question:
What happens when we can effectively copy the researcher thousands of times and let those digital minds investigate problems in parallel?
We may be approaching a transition from AI that helps us understand existing knowledge to AI that helps create entirely new knowledge.
And if discoveries made by AI eventually help build better AI, the implications become larger still.
Our latest Conjugo article explores what happened, why it matters, what we should be cautious about, and where this could lead.
? Read “When Knowledge Begins to Scale”: https://www.conjugo.org/view-post/when-knowledge-begins-to-scale
#ArtificialIntelligence #AI #OpenAI #Mathematics #Science #ScientificDiscovery #AGI #Conjugo
Added a video
The next year or two will not announce itself.
It will just stop paying for the middle of the workflow.
Four things worth knowing before that happens:
Work. A lot of what still looks like a job is about to look like a task. Drafts, summaries, research passes, the first version of the deck. Those do not need a person sitting with them all day. The people who stay valuable are the ones who can direct the tools, check the output, and own the decision.
Knowledge. Fluent answers get cheap. Knowing whether an answer is true does not. Trusting the logo on the source is the old literacy. Testing it yourself, fast, is the new one.
Governance. Governments will not disappear. They will be late. Rules written for offices, payrolls, and paper trails will chase software that changes between hearings. Do not wait for a ministry to tell you the new shape of your work.
And the frame around all of it: get ready. Not because the sky is falling. Because ordinary life is about to rearrange faster than the institutions around it can rename what happened.
You do not have to like it.
You do have to be in front of it.
The next year or two will not announce itself.
It will just stop paying for the middle of the workflow.
Four things worth knowing before that happens:
Work. A lot of what still looks like a job is about to look like a task. Drafts, summaries, research passes, the first version of the deck. Those do not need a person sitting with them all day. The people who stay valuable are the ones who can direct the tools, check the output, and own the decision.
Knowledge. Fluent answers get cheap. Knowing whether an answer is true does not. Trusting the logo on the source is the old literacy. Testing it yourself, fast, is the new one.
Governance. Governments will not disappear. They will be late. Rules written for offices, payrolls, and paper trails will chase software that changes between hearings. Do not wait for a ministry to tell you the new shape of your work.
And the frame around all of it: get ready. Not because the sky is falling. Because ordinary life is about to rearrange faster than the institutions around it can rename what happened.
You do not have to like it.
You do have to be in front of it.
The next year or two will not announce itself.
It will just stop paying for the middle of the workflow.
Four things worth knowing before that happens:
Work. A lot of what still looks like a job is about to look like a task. Drafts, summaries, research passes, the first version of the deck. Those do not need a person sitting with them all day. The people who stay valuable are the ones who can direct the tools, check the output, and own the decision.
Knowledge. Fluent answers get cheap. Knowing whether an answer is true does not. Trusting the logo on the source is the old literacy. Testing it yourself, fast, is the new one.
Governance. Governments will not disappear. They will be late. Rules written for offices, payrolls, and paper trails will chase software that changes between hearings. Do not wait for a ministry to tell you the new shape of your work.
And the frame around all of it: get ready. Not because the sky is falling. Because ordinary life is about to rearrange faster than the institutions around it can rename what happened.
You do not have to like it.
You do have to be in front of it.