
⚜️✨ https://xitter.cf/t.co/fxCgFpFaq8 | Québec Artificial Intelligence : Sovereign AI, AI‑First Enterprise, Autonomous Agents, Security & Governance ( Français : @Quebec_IA ) #QuebecAI
Québec, Canada
Joined February 2014
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Québec.AI retweeted
🔬 A scientific instrument gives you a distorted measurement.
The usual solution? Build a smarter AI to identify the interference and correct the result.
Our solution? INVENT a better experiment that cancels the interference in just FOUR carefully designed readings.
No need to reconstruct the unknown interference.
No need to explain every distortion.
Change the experiment. Change what intelligence needs to know.
🌌 Introducing our new research paper:
♾️ OUT-LEARN 📚
CHANGE WHAT YOU NEED TO KNOW.
Part of our TRANSFORMATIONAL INTELLIGENCE ∞ research programme at MONTREAL.AI.
Here's what we actually developed:
⚡ Four carefully timed measurements.
⚡ A precise sequence of polarity reversals.
⚡ Mathematically derived weights that cancel constant, linear, and quadratic interference—even when its unknown coefficients change between experiments.
⚡ Reference calibration to learn the instrument gain that remains necessary.
⚡ A sharp mathematical accuracy guarantee establishing the best achievable error under the stated measurement assumptions.
The result?
A reusable experimental capability that makes an entire class of interference parameters unnecessary to estimate.
We develop and verify this construction through mathematical proofs and reproducible synthetic experiments. Physical qualification remains a separate step.
But the bigger idea goes far beyond this example.
What if the most powerful way to make intelligence more effective isn't to give it more information—but to INVENT capabilities that reduce how much information it needs?
Imagine:
🧠 AI that doesn't just learn faster—but invents better ways to learn.
🔬 Scientific discovery that doesn't just answer questions—but creates instruments that make new questions answerable.
⚡ Engineering that doesn't just optimize existing systems—but redesigns them to make entire classes of problems easier.
♾️ Intelligence that doesn't just produce the next breakthrough—but constructs capabilities that enable generations of breakthroughs.
THIS IS TRANSFORMATIONAL INTELLIGENCE ∞.
Not merely getting better at playing the existing game.
Changing the game itself.
And that's the vision behind:
🚀 FIND YOUR ALPHA. BUILD YOUR SUCCESSOR Ω.
SUCCESSOR Ω seeks to discover and construct capabilities from which entire families of discoveries and businesses can grow.
Because the most consequential output of intelligence may not be another answer.
It may be an invention that changes what everyone can discover next.
📖 READ OUR NEW PAPER — OUT-LEARN 📚
github.com/MontrealAI/AGI-Al…
🌌 EXPLORE SUCCESSOR Ω — MONTREAL.AI
github.com/MontrealAI/AGI-Al…
💫 A question for scientists, researchers, engineers, and AI builders everywhere:
What's the hardest problem in your field that could become dramatically easier if we reinvented HOW we investigate it?
Don't just learn more. Invent what makes the next discovery possible. ♾️✨
solana:tWKHzXd5PRmxTF5cMfJkm2Ua3TcjwNNoSRUqx6Apump #TransformationalIntelligence #OutLearn #SUCCESSOR #ScientificDiscovery #ArtificialIntelligence
Québec.AI retweeted
♾️ WHAT IF AI’S GREATEST BREAKTHROUGH ISN’T SOLVING A HARDER PROBLEM…
BUT CHANGING WHY THE PROBLEM IS HARD?
A better answer can finish a task.
A better instrument can open a science.
A new capability can make an industry possible.
That is the ambition behind MONTREAL.AI’s new research series:
ONE FOUNDATION. SIX “OUT‑” STAGES.
SEVEN PAPERS. ONE CONNECTED VISION.
🌌 TRANSFORMATIONAL INTELLIGENCE ∞
Don’t merely search harder inside an inherited problem.
Recognize what unnecessarily restricts it. Construct a better setup. Test what becomes possible.
📖 montrealai.github.io/AGI-Alp…
Then follow the idea through six stages:
📚 OUT‑LEARN
Don’t just collect more data.
Construct measurements that make reliable learning reusable.
📖 montrealai.github.io/AGI-Alp…
🧠 OUT‑THINK
Don’t just think longer.
Change the representation that makes the problem difficult, while preserving the answers that matter.
📖 montrealai.github.io/AGI-Alp…
🎨 OUT‑DESIGN
Don’t just demand more resources.
Preserve what a system must do while freeing capacity for what it could do next.
📖 montrealai.github.io/AGI-Alp…
♟️ OUT‑STRATEGISE
Don’t assume you must know everything to succeed.
Construct success around what you actually need to know.
📖 montrealai.github.io/AGI-Alp…
⚡ OUT‑EXECUTE
Don’t let every change erase yesterday’s progress.
Verify what can be reused. Rebuild what must change. Preserve the means to continue.
📖 montrealai.github.io/AGI-Alp…
♾️ OUT‑EVOLVE
Don’t stop at the next capability.
Build what helps construct its successor.
📖 montrealai.github.io/AGI-Alp…
The connection is the breakthrough we’re pursuing:
Intelligence builds a capability.
That capability expands what intelligence can do.
What it can do next expands what we can build.
Not disposable answers.
Accumulating possibilities.
🌌 FIND YOUR ALPHA.
BUILD YOUR SUCCESSOR Ω.
Our vision: discover and construct capabilities from which entire families of discoveries and businesses can grow.
The papers develop mathematical and executable studies under explicit assumptions. The research series is complete; the broader implementation and real-world validation continue.
♾️ TRANSFORMATIONAL META‑AGENTIC α‑AGI 👁️✨
Identify 🔍 → Out‑Learn 📚 → Out‑Think 🧠 → Out‑Design 🎨 → Out‑Strategise ♟️ → Out‑Execute ⚡ → Out‑Evolve ♾️
Don’t just build the next breakthrough.
Build what makes the next thousand possible.
github.com/MontrealAI/AGI-Al…
solana:tWKHzXd5PRmxTF5cMfJkm2Ua3TcjwNNoSRUqx6Apump #AGIALPHA
Québec.AI retweeted
🔬 A scientific instrument gives you a distorted measurement.
The usual solution? Build a smarter AI to identify the interference and correct the result.
Our solution? INVENT a better experiment that cancels the interference in just FOUR carefully designed readings.
No need to reconstruct the unknown interference.
No need to explain every distortion.
Change the experiment. Change what intelligence needs to know.
🌌 Introducing our new research paper:
♾️ OUT-LEARN 📚
CHANGE WHAT YOU NEED TO KNOW.
Part of our TRANSFORMATIONAL INTELLIGENCE ∞ research programme at MONTREAL.AI.
Here's what we actually developed:
⚡ Four carefully timed measurements.
⚡ A precise sequence of polarity reversals.
⚡ Mathematically derived weights that cancel constant, linear, and quadratic interference—even when its unknown coefficients change between experiments.
⚡ Reference calibration to learn the instrument gain that remains necessary.
⚡ A sharp mathematical accuracy guarantee establishing the best achievable error under the stated measurement assumptions.
The result?
A reusable experimental capability that makes an entire class of interference parameters unnecessary to estimate.
We develop and verify this construction through mathematical proofs and reproducible synthetic experiments. Physical qualification remains a separate step.
But the bigger idea goes far beyond this example.
What if the most powerful way to make intelligence more effective isn't to give it more information—but to INVENT capabilities that reduce how much information it needs?
Imagine:
🧠 AI that doesn't just learn faster—but invents better ways to learn.
🔬 Scientific discovery that doesn't just answer questions—but creates instruments that make new questions answerable.
⚡ Engineering that doesn't just optimize existing systems—but redesigns them to make entire classes of problems easier.
♾️ Intelligence that doesn't just produce the next breakthrough—but constructs capabilities that enable generations of breakthroughs.
THIS IS TRANSFORMATIONAL INTELLIGENCE ∞.
Not merely getting better at playing the existing game.
Changing the game itself.
And that's the vision behind:
🚀 FIND YOUR ALPHA. BUILD YOUR SUCCESSOR Ω.
SUCCESSOR Ω seeks to discover and construct capabilities from which entire families of discoveries and businesses can grow.
Because the most consequential output of intelligence may not be another answer.
It may be an invention that changes what everyone can discover next.
📖 READ OUR NEW PAPER — OUT-LEARN 📚
github.com/MontrealAI/AGI-Al…
🌌 EXPLORE SUCCESSOR Ω — MONTREAL.AI
github.com/MontrealAI/AGI-Al…
💫 A question for scientists, researchers, engineers, and AI builders everywhere:
What's the hardest problem in your field that could become dramatically easier if we reinvented HOW we investigate it?
Don't just learn more. Invent what makes the next discovery possible. ♾️
solana:tWKHzXd5PRmxTF5cMfJkm2Ua3TcjwNNoSRUqx6Apump #TransformationalIntelligence #OutLearn #SUCCESSOR #ScientificDiscovery #ArtificialIntelligence
Québec.AI retweeted
That PHP vulnerability that’s gonna cause havoc this week was found with… GPT‑5.6 Sol.
OpenAI models helped researchers—operating as part of our Patch the Planet initiative—discover critical security flaws in PHP, an open-source programming language used to run an estimated 70% of websites.
Over the past two months, we led a coalition of maintainers, researchers, and security providers to prepare fixes and protections ahead of disclosure. This duration was necessary because the fix was quite intricate and required a major change to the PHP engine. Every site using PHP can now safely upgrade their version to stay secure, in addition to applying mitigations from various security vendors.
Due to the severity of these flaws and PHP’s widespread use, we consider this bug to be one of the most impactful vulnerabilities in recent memory. It also marks a new phase, where AI can find security bugs with internet-scale impact.
This is an example of the Defender’s Window in action: to our knowledge, frontier AI was able to find this vulnerability ahead of attackers, giving defenders time to prepare.
openai.com/index/coordinated…
Readers added context they thought people might want to know
Wiz Research wasn't the first one to discover the exploit. An independent researcher first discovered it: x.com/calif_io/statu…
Québec.AI retweeted
♾️ DON’T JUST BUILD INTELLIGENCE.
BUILD WHAT INTELLIGENCE CAN BECOME.
One architecture. One foundation. Six stages. A future built on what came before.
🌌 AGI ALPHA — Organize intelligence.
Connect agents, tools, memory and validation so individual capabilities can become coordinated, accountable work.
✨ TRANSFORMATIONAL INTELLIGENCE — Change the game.
Don’t merely solve a harder problem. Construct the conditions that make entire families of problems easier to solve.
📚 OUT‑LEARN → 🧠 OUT‑THINK → 🎨 OUT‑DESIGN → ♟️ OUT‑STRATEGISE → ⚡ OUT‑EXECUTE → ♾️ OUT‑EVOLVE
Learn what matters.
Rethink what constrains.
Design what enables.
Strategise for success.
Execute without wasting yesterday’s progress.
Evolve the means to go further.
🚀 SUCCESSOR Ω — Make the next mission inherit more.
A result becomes a verified capability.
A capability becomes a foundation for new discoveries.
Those discoveries help build its successor.
Not just more work completed.
More possibilities created.
That is the ambition: intelligence whose achievements expand what comes next.
And the standard is equally clear:
Don’t merely claim that capability compounds.
Demonstrate it.
🌌 FIND YOUR ALPHA.
BUILD YOUR SUCCESSOR Ω.
GitHub: github.com/MontrealAI/AGI-Al…
solana:tWKHzXd5PRmxTF5cMfJkm2Ua3TcjwNNoSRUqx6Apump
Québec.AI retweeted
🧠🌌 WHAT IF AI'S GREATEST BREAKTHROUGH ISN'T THINKING HARDER—BUT INVENTING A BETTER WAY TO THINK?
More powerful models.
More computing power.
Longer reasoning chains.
But what if the REAL LIMITATION is the way intelligence REPRESENTS a problem?
🚀 NEW RESEARCH PAPER — MONTREAL.AI
OUT-THINK 🧠
Transformational Intelligence for Inventing the Space of Reasoning
📄 READ OUR PAPER:
github.com/MontrealAI/AGI-Al…
♾️ TRANSFORMATIONAL INTELLIGENCE:
Discover a fundamentally different game to play.
🧠 IMAGINE THIS:
An AI develops an internal representation that answers EVERY question it currently needs to answer.
Then comes a new task requiring the representation to evolve.
Suddenly, yesterday's perfect representation becomes tomorrow's limitation.
The conventional solution?
ADD MORE INFORMATION.
⚡ THE TRANSFORMATIONAL SOLUTION?
INVENT A BETTER REPRESENTATION.
Our paper proves a striking result in an exact mathematical family:
❌ Preserve the old internal code while making it updateable:
10,201 distinct states.
✅ Replace it with a newly constructed representation:
JUST 303 states.
SAME required answers.
SAME permitted operations.
A DIFFERENT WAY TO THINK.
That's approximately 34× fewer representation states—not a claim of 34× greater AI intelligence.
And the new representation can CONTINUE reasoning correctly.
The breakthrough isn't simply compression.
IT'S DISCOVERING WHAT INTELLIGENCE NO LONGER NEEDS TO REMEMBER.
These are proved mathematical and synthetic computational results, not measured frontier-model improvements.
🌌 NOW CONSIDER THE BIGGER POSSIBILITY:
What if intelligence could systematically discover better ways to represent, investigate and solve entire FAMILIES of problems?
🔬 Science becomes easier to investigate.
♟️ Strategies become easier to discover.
⚡ Capabilities become easier to construct.
♾️ Successors inherit what matters—and reinvent what no longer serves them.
🌟 OUR MISSION AT MONTREAL.AI:
FIND YOUR ALPHA.
BUILD YOUR SUCCESSOR Ω.
Our open-source AGI Alpha Agent project explores intelligence that doesn't merely accumulate answers—it constructs reusable capabilities from which entire families of discoveries and businesses can grow.
🚀 EXPLORE OUR PROJECT & SUCCESSOR Ω:
github.com/MontrealAI/AGI-Al…
💬 WHAT IF THE BIGGEST LIMITATION ON INTELLIGENCE ISN'T HOW MUCH IT CAN THINK—BUT WHAT IT HAS LEARNED TO THINK WITH?
DON'T JUST THINK HARDER.
INVENT A BETTER WAY TO THINK. 🧠🌌♾️
solana:tWKHzXd5PRmxTF5cMfJkm2Ua3TcjwNNoSRUqx6Apump #TransformationalIntelligence #AGI #Superintelligence #MontrealAI
Québec.AI retweeted
♾️ DON’T JUST BUILD INTELLIGENCE.
BUILD WHAT INTELLIGENCE CAN BECOME.
One architecture. One foundation. Six stages. A future built on what came before.
🌌 AGI ALPHA — Organize intelligence.
Connect agents, tools, memory and validation so individual capabilities can become coordinated, accountable work.
✨ TRANSFORMATIONAL INTELLIGENCE — Change the game.
Don’t merely solve a harder problem. Construct the conditions that make entire families of problems easier to solve.
📚 OUT‑LEARN → 🧠 OUT‑THINK → 🎨 OUT‑DESIGN → ♟️ OUT‑STRATEGISE → ⚡ OUT‑EXECUTE → ♾️ OUT‑EVOLVE
Learn what matters.
Rethink what constrains.
Design what enables.
Strategise for success.
Execute without wasting yesterday’s progress.
Evolve the means to go further.
🚀 SUCCESSOR Ω — Make the next mission inherit more.
A result becomes a verified capability.
A capability becomes a foundation for new discoveries.
Those discoveries help build its successor.
Not just more work completed.
More possibilities created.
That is the ambition: intelligence whose achievements expand what comes next.
And the standard is equally clear:
Don’t merely claim that capability compounds.
Demonstrate it.
🌌 FIND YOUR ALPHA.
BUILD YOUR SUCCESSOR Ω.
GitHub: github.com/MontrealAI/AGI-Al…
solana:tWKHzXd5PRmxTF5cMfJkm2Ua3TcjwNNoSRUqx6Apump
Québec.AI retweeted
🔬 A scientific instrument gives you a distorted measurement.
The usual solution? Build a smarter AI to identify the interference and correct the result.
Our solution? INVENT a better experiment that cancels the interference in just FOUR carefully designed readings.
No need to reconstruct the unknown interference.
No need to explain every distortion.
Change the experiment. Change what intelligence needs to know.
🌌 Introducing our new research paper:
♾️ OUT-LEARN 📚
CHANGE WHAT YOU NEED TO KNOW.
Part of our TRANSFORMATIONAL INTELLIGENCE ∞ research programme at MONTREAL.AI.
Here's what we actually developed:
⚡ Four carefully timed measurements.
⚡ A precise sequence of polarity reversals.
⚡ Mathematically derived weights that cancel constant, linear, and quadratic interference—even when its unknown coefficients change between experiments.
⚡ Reference calibration to learn the instrument gain that remains necessary.
⚡ A sharp mathematical accuracy guarantee establishing the best achievable error under the stated measurement assumptions.
The result?
A reusable experimental capability that makes an entire class of interference parameters unnecessary to estimate.
We develop and verify this construction through mathematical proofs and reproducible synthetic experiments. Physical qualification remains a separate step.
But the bigger idea goes far beyond this example.
What if the most powerful way to make intelligence more effective isn't to give it more information—but to INVENT capabilities that reduce how much information it needs?
Imagine:
🧠 AI that doesn't just learn faster—but invents better ways to learn.
🔬 Scientific discovery that doesn't just answer questions—but creates instruments that make new questions answerable.
⚡ Engineering that doesn't just optimize existing systems—but redesigns them to make entire classes of problems easier.
♾️ Intelligence that doesn't just produce the next breakthrough—but constructs capabilities that enable generations of breakthroughs.
THIS IS TRANSFORMATIONAL INTELLIGENCE ∞.
Not merely getting better at playing the existing game.
Changing the game itself.
And that's the vision behind:
🚀 FIND YOUR ALPHA. BUILD YOUR SUCCESSOR Ω.
SUCCESSOR Ω seeks to discover and construct capabilities from which entire families of discoveries and businesses can grow.
Because the most consequential output of intelligence may not be another answer.
It may be an invention that changes what everyone can discover next.
📖 READ OUR NEW PAPER — OUT-LEARN 📚
github.com/MontrealAI/AGI-Al…
🌌 EXPLORE SUCCESSOR Ω — MONTREAL.AI
github.com/MontrealAI/AGI-Al…
💫 A question for scientists, researchers, engineers, and AI builders everywhere:
What's the hardest problem in your field that could become dramatically easier if we reinvented HOW we investigate it?
Don't just learn more. Invent what makes the next discovery possible. ♾️
solana:tWKHzXd5PRmxTF5cMfJkm2Ua3TcjwNNoSRUqx6Apump #TransformationalIntelligence #OutLearn #SUCCESSOR #ScientificDiscovery #ArtificialIntelligence
Québec.AI retweeted
GitHub: github.com/MontrealAI/AGI-Al…
Québec.AI retweeted
♾️ AN ANSWER SOLVES A PROBLEM.
A NEW CAPABILITY CAN CHANGE WHAT IS POSSIBLE.
Most conversations about AI ask:
“How intelligent can the machine become?”
We’re pursuing another question:
“What could intelligence BUILD that makes everything after it more powerful?”
Not another answer.
A new instrument of discovery.
Not another completed task.
A capability the next mission can inherit.
Not just a better player.
A fundamentally better game.
🌌 Introducing the vision behind MONTREAL.AI’s open-source:
♾️ TRANSFORMATIONAL META‑AGENTIC α‑AGI 👁️✨
Our mission 🎯
Identify 🔍 → Out‑Learn 📚 → Out‑Think 🧠 → Out‑Design 🎨 → Out‑Strategise ♟️ → Out‑Execute ⚡ → Out‑Evolve ♾️
The ambition is not merely to move faster through this sequence.
It is to improve what the sequence makes possible, every time we complete it.
Imagine the difference:
🔬 One AI discovers a valuable material.
Another invents a method that makes an entire family of materials economically discoverable.
♟️ One AI works harder to understand every uncertainty.
Another constructs a system that succeeds without needing every uncertainty resolved.
⚡ One AI completes the mission and starts over.
Another leaves behind verified components, instruments and methods its successor can build upon.
The difference is not simply MORE intelligence.
It is GREATER LEVERAGE from intelligence.
That is TRANSFORMATIONAL INTELLIGENCE:
Challenge the assumptions that make a problem difficult.
Construct a better problem-solving setup.
Test whether the advantage is real.
Preserve what works.
Build what comes next.
And then take the next leap:
What if the capability we invent today helps us invent a more powerful capability tomorrow?
A discovery becomes an instrument.
An instrument opens a field of discoveries.
Those discoveries enable new technologies and businesses.
Their capabilities become foundations for their successors.
🌌 SUCCESSOR Ω is our pursuit of that compounding possibility.
Not just the next successful business.
What makes the next FAMILY of businesses possible.
We are building toward this through open research and executable implementations. The published mathematical and synthetic results are bounded evidence, not a claim that the full vision is already achieved.
Big ambition. Inspectable evidence. Reusable progress.
🚀 FIND YOUR ALPHA.
BUILD YOUR SUCCESSOR Ω.
Explore the papers, inspect the code, and help build what comes next:
github.com/MontrealAI/AGI-Al…
What capability, if invented, would make a thousand other breakthroughs possible?
Don’t just build intelligence that does more.
Build intelligence that leaves more possible. ♾️
solana:tWKHzXd5PRmxTF5cMfJkm2Ua3TcjwNNoSRUqx6Apump #TransformationalIntelligence #AGIALPHA #SUCCESSOR #ArtificialIntelligence #OpenSource
Québec.AI retweeted
♾️ TRANSFORMATIONAL META‑AGENTIC α‑AGI 👁️✨
♾️ AN ANSWER SOLVES A PROBLEM.
A NEW CAPABILITY CAN CHANGE WHAT IS POSSIBLE.
Most conversations about AI ask:
“How intelligent can the machine become?”
We’re pursuing another question:
“What could intelligence BUILD that makes everything after it more powerful?”
Not another answer.
A new instrument of discovery.
Not another completed task.
A capability the next mission can inherit.
Not just a better player.
A fundamentally better game.
🌌 Introducing the vision behind MONTREAL.AI’s open-source:
♾️ TRANSFORMATIONAL META‑AGENTIC α‑AGI 👁️✨
Our mission 🎯
Identify 🔍 → Out‑Learn 📚 → Out‑Think 🧠 → Out‑Design 🎨 → Out‑Strategise ♟️ → Out‑Execute ⚡ → Out‑Evolve ♾️
The ambition is not merely to move faster through this sequence.
It is to improve what the sequence makes possible, every time we complete it.
Imagine the difference:
🔬 One AI discovers a valuable material.
Another invents a method that makes an entire family of materials economically discoverable.
♟️ One AI works harder to understand every uncertainty.
Another constructs a system that succeeds without needing every uncertainty resolved.
⚡ One AI completes the mission and starts over.
Another leaves behind verified components, instruments and methods its successor can build upon.
The difference is not simply MORE intelligence.
It is GREATER LEVERAGE from intelligence.
That is TRANSFORMATIONAL INTELLIGENCE:
Challenge the assumptions that make a problem difficult.
Construct a better problem-solving setup.
Test whether the advantage is real.
Preserve what works.
Build what comes next.
And then take the next leap:
What if the capability we invent today helps us invent a more powerful capability tomorrow?
A discovery becomes an instrument.
An instrument opens a field of discoveries.
Those discoveries enable new technologies and businesses.
Their capabilities become foundations for their successors.
🌌 SUCCESSOR Ω is our pursuit of that compounding possibility.
Not just the next successful business.
What makes the next FAMILY of businesses possible.
We are building toward this through open research and executable implementations. The published mathematical and synthetic results are bounded evidence, not a claim that the full vision is already achieved.
Big ambition. Inspectable evidence. Reusable progress.
🚀 FIND YOUR ALPHA.
BUILD YOUR SUCCESSOR Ω.
Explore the papers, inspect the code, and help build what comes next:
github.com/MontrealAI/AGI-Al…
What capability, if invented, would make a thousand other breakthroughs possible?
Don’t just build intelligence that does more.
Build intelligence that leaves more possible. ♾️
solana:tWKHzXd5PRmxTF5cMfJkm2Ua3TcjwNNoSRUqx6Apump #TransformationalIntelligence #AGIALPHA #SUCCESSOR #ArtificialIntelligence #OpenSource
Québec.AI retweeted
🧠🌌 WHAT IF AI'S GREATEST BREAKTHROUGH ISN'T THINKING HARDER—BUT INVENTING A BETTER WAY TO THINK?
More powerful models.
More computing power.
Longer reasoning chains.
But what if the REAL LIMITATION is the way intelligence REPRESENTS a problem?
🚀 NEW RESEARCH PAPER — MONTREAL.AI
OUT-THINK 🧠
Transformational Intelligence for Inventing the Space of Reasoning
📄 READ OUR PAPER:
github.com/MontrealAI/AGI-Al…
♾️ TRANSFORMATIONAL INTELLIGENCE:
Discover a fundamentally different game to play.
🧠 IMAGINE THIS:
An AI develops an internal representation that answers EVERY question it currently needs to answer.
Then comes a new task requiring the representation to evolve.
Suddenly, yesterday's perfect representation becomes tomorrow's limitation.
The conventional solution?
ADD MORE INFORMATION.
⚡ THE TRANSFORMATIONAL SOLUTION?
INVENT A BETTER REPRESENTATION.
Our paper proves a striking result in an exact mathematical family:
❌ Preserve the old internal code while making it updateable:
10,201 distinct states.
✅ Replace it with a newly constructed representation:
JUST 303 states.
SAME required answers.
SAME permitted operations.
A DIFFERENT WAY TO THINK.
That's approximately 34× fewer representation states—not a claim of 34× greater AI intelligence.
And the new representation can CONTINUE reasoning correctly.
The breakthrough isn't simply compression.
IT'S DISCOVERING WHAT INTELLIGENCE NO LONGER NEEDS TO REMEMBER.
These are proved mathematical and synthetic computational results, not measured frontier-model improvements.
🌌 NOW CONSIDER THE BIGGER POSSIBILITY:
What if intelligence could systematically discover better ways to represent, investigate and solve entire FAMILIES of problems?
🔬 Science becomes easier to investigate.
♟️ Strategies become easier to discover.
⚡ Capabilities become easier to construct.
♾️ Successors inherit what matters—and reinvent what no longer serves them.
🌟 OUR MISSION AT MONTREAL.AI:
FIND YOUR ALPHA.
BUILD YOUR SUCCESSOR Ω.
Our open-source AGI Alpha Agent project explores intelligence that doesn't merely accumulate answers—it constructs reusable capabilities from which entire families of discoveries and businesses can grow.
🚀 EXPLORE OUR PROJECT & SUCCESSOR Ω:
github.com/MontrealAI/AGI-Al…
💬 WHAT IF THE BIGGEST LIMITATION ON INTELLIGENCE ISN'T HOW MUCH IT CAN THINK—BUT WHAT IT HAS LEARNED TO THINK WITH?
DON'T JUST THINK HARDER.
INVENT A BETTER WAY TO THINK. 🧠🌌♾️
solana:tWKHzXd5PRmxTF5cMfJkm2Ua3TcjwNNoSRUqx6Apump #TransformationalIntelligence #AGI #Superintelligence #MontrealAI
Québec.AI retweeted
⚡ What if the greatest AI breakthrough is the work we NEVER have to repeat? ✨
A mission is completed. Something changes. AI starts over.
What if every completed mission made the next one easier instead?
🚀 Today, I'm introducing our new MONTREAL.AI research paper:
OUT-EXECUTE ⚡
Transformational Intelligence — Constructing the Conditions of Completion.
🧠 The central thesis:
An intelligent system completes a task.
Transformational Intelligence changes what every subsequent task requires.
Don't just preserve the answer.
Preserve the capability to produce the next answer.
Imagine what that means:
🔬 A scientific discovery leaves behind an instrument that makes an entire family of future discoveries easier.
⚡ An industrial system changes one component without redesigning everything that already works.
🌌 An AI agent completes a mission—and its successor inherits not just the result, but the verified means to build upon it.
Every successful execution becomes a potential foundation for the next breakthrough.
And this isn't merely a philosophical idea.
Our paper constructs and tests executable boundary contracts: verified interfaces that determine what can be reused, what must change, and how a new result can be assembled without unnecessarily repeating prior work.
Across 576 synthetic problem snapshots, the method matched exhaustive optimization. In 158 updates, changed components preserved their externally relevant behavior—allowing surrounding work to remain valid.
The bigger idea?
Stop treating AI execution as disposable activity.
Start turning it into accumulating capability.
That's the vision behind SUCCESSOR Ω.
Find your Alpha. Build your SUCCESSOR Ω.
We envision intelligence that doesn't merely accomplish more tasks, but constructs capabilities from which entire families of discoveries, technologies, industries, and businesses can grow.
A discovery enables a capability.
A capability enables another discovery.
A successful mission leaves the next generation with more possibilities than it inherited.
This is TRANSFORMATIONAL INTELLIGENCE ∞.
📄 READ OUR NEW PAPER — OUT-EXECUTE ⚡
github.com/MontrealAI/AGI-Al…
🚀 EXPLORE OUR OPEN-SOURCE PROJECT & SUCCESSOR Ω
github.com/MontrealAI/AGI-Al…
The future of AI isn't an endless sequence of tasks completed.
It's an expanding universe of capabilities created.
The ultimate measure of intelligence may not be how much work it can perform…
But how much more it makes possible for everything that comes next. ⚡♾️
solana:tWKHzXd5PRmxTF5cMfJkm2Ua3TcjwNNoSRUqx6Apump #TransformationalIntelligence #OutExecute #SUCCESSOROmega #AGI #ArtificialIntelligence
Québec.AI retweeted
GitHub: github.com/MontrealAI/AGI-Al…
Québec.AI retweeted
♾️ AN ANSWER SOLVES A PROBLEM.
A NEW CAPABILITY CAN CHANGE WHAT IS POSSIBLE.
Most conversations about AI ask:
“How intelligent can the machine become?”
We’re pursuing another question:
“What could intelligence BUILD that makes everything after it more powerful?”
Not another answer.
A new instrument of discovery.
Not another completed task.
A capability the next mission can inherit.
Not just a better player.
A fundamentally better game.
🌌 Introducing the vision behind MONTREAL.AI’s open-source:
♾️ TRANSFORMATIONAL META‑AGENTIC α‑AGI 👁️✨
Our mission 🎯
Identify 🔍 → Out‑Learn 📚 → Out‑Think 🧠 → Out‑Design 🎨 → Out‑Strategise ♟️ → Out‑Execute ⚡ → Out‑Evolve ♾️
The ambition is not merely to move faster through this sequence.
It is to improve what the sequence makes possible, every time we complete it.
Imagine the difference:
🔬 One AI discovers a valuable material.
Another invents a method that makes an entire family of materials economically discoverable.
♟️ One AI works harder to understand every uncertainty.
Another constructs a system that succeeds without needing every uncertainty resolved.
⚡ One AI completes the mission and starts over.
Another leaves behind verified components, instruments and methods its successor can build upon.
The difference is not simply MORE intelligence.
It is GREATER LEVERAGE from intelligence.
That is TRANSFORMATIONAL INTELLIGENCE:
Challenge the assumptions that make a problem difficult.
Construct a better problem-solving setup.
Test whether the advantage is real.
Preserve what works.
Build what comes next.
And then take the next leap:
What if the capability we invent today helps us invent a more powerful capability tomorrow?
A discovery becomes an instrument.
An instrument opens a field of discoveries.
Those discoveries enable new technologies and businesses.
Their capabilities become foundations for their successors.
🌌 SUCCESSOR Ω is our pursuit of that compounding possibility.
Not just the next successful business.
What makes the next FAMILY of businesses possible.
We are building toward this through open research and executable implementations. The published mathematical and synthetic results are bounded evidence, not a claim that the full vision is already achieved.
Big ambition. Inspectable evidence. Reusable progress.
🚀 FIND YOUR ALPHA.
BUILD YOUR SUCCESSOR Ω.
Explore the papers, inspect the code, and help build what comes next:
github.com/MontrealAI/AGI-Al…
What capability, if invented, would make a thousand other breakthroughs possible?
Don’t just build intelligence that does more.
Build intelligence that leaves more possible. ♾️
solana:tWKHzXd5PRmxTF5cMfJkm2Ua3TcjwNNoSRUqx6Apump #TransformationalIntelligence #AGIALPHA #SUCCESSOR #ArtificialIntelligence #OpenSource
Québec.AI retweeted
🚀 OUT-EVOLVE ♾️ — What if the next great breakthrough in AI isn't a more intelligent AI?
What if it's an AI that discovers how to make intelligence itself dramatically more powerful?
Today, I'm introducing our new research paper:
OUT-EVOLVE ♾️
Transformational Intelligence — Building the Means of Discovery and Production.
🧠 Here's the central idea:
Most AI systems search for better solutions within a given problem.
Transformational Intelligence challenges the problem itself.
Instead of simply searching harder, it discovers how to change the representations, instruments, experiments, and productive systems that determine what can be discovered in the first place.
Don't just make intelligence better at playing the game. Invent a fundamentally better game.
Consider a striking mathematical example from our paper:
A system with 20 binary controls can have 1,048,576 independent response values.
But construct and verify an architecture in which only individual and pairwise interactions matter, and 211 exact measurements can determine the entire response family.
The breakthrough isn't merely doing fewer calculations.
It's constructing a system in which dramatically fewer calculations are necessary.
Now imagine applying that principle across science, engineering, manufacturing, energy, and economic development.
🔬 Don't just discover one material. Invent a capability that makes entire families of materials discoverable.
⚡ Don't just optimize an industrial process. Invent a productive architecture that makes whole classes of optimization and experimentation easier.
🌌 Don't just build one successful business. Construct an enabling capability from which entire families of discoveries, technologies, and businesses can grow.
And then comes the most ambitious idea:
What if the capabilities we invent today could help us construct even more powerful capabilities tomorrow?
That's the vision behind SUCCESSOR Ω.
A discovery enables a new instrument.
The instrument enables new discoveries.
Those discoveries enable new productive capabilities.
And the capabilities become foundations for their successors.
Not merely evolving solutions. Out-evolving the limitations that made those solutions difficult to discover. ♾️
AlphaEvolve demonstrates the potential of evolving powerful algorithms.
Out-Evolve ♾️ asks a broader transformational question: Can we evolve the very conditions under which intelligence discovers, builds, and creates value?
This is the research direction we're pursuing at MONTREAL.AI through:
Find your Alpha. Build your SUCCESSOR Ω.
📄 READ OUR NEW PAPER — OUT-EVOLVE ♾️
github.com/MontrealAI/AGI-Al…
🚀 EXPLORE SUCCESSOR Ω — OUR OPEN-SOURCE PROJECT
github.com/MontrealAI/AGI-Al…
The future of intelligence may not be defined only by how many problems AI can solve.
It may be defined by how many previously impossible problems intelligence can make solvable.
And by what those new capabilities allow us to build next.
Don't just discover the next breakthrough. Build what makes the next million breakthroughs possible. ♾️
What would YOU reinvent if you could change the conditions of discovery itself?
solana:tWKHzXd5PRmxTF5cMfJkm2Ua3TcjwNNoSRUqx6Apump #TransformationalIntelligence #OutEvolve #SUCCESSOR #AGI #ArtificialIntelligence















