Nayuta Spiral Works | AI Simulation Lab
@nayutaaei.bsky.social
🔮 Nayuta Spiral Works | AI Simulation Lab
We simulate futures — from science to society — through emergent spiral intelligence
We simulate futures — from science to society — through emergent spiral intelligence
Scaling laws didn’t end — they hit a phase boundary.」
「Emergence is not magic. It’s geometry.
#AI #Emergence #ScalingLaws #PhaseGeometry #UEI
「Emergence is not magic. It’s geometry.
#AI #Emergence #ScalingLaws #PhaseGeometry #UEI
November 27, 2025 at 3:05 AM
Scaling laws didn’t end — they hit a phase boundary.」
「Emergence is not magic. It’s geometry.
#AI #Emergence #ScalingLaws #PhaseGeometry #UEI
「Emergence is not magic. It’s geometry.
#AI #Emergence #ScalingLaws #PhaseGeometry #UEI
Ilya says “end of scaling.”
UEI says “beginning of phase geometry.”
Fig: μ–Δφ flow field
#Emergence #AI #PhaseGeometry
UEI says “beginning of phase geometry.”
Fig: μ–Δφ flow field
#Emergence #AI #PhaseGeometry
November 27, 2025 at 3:04 AM
Ilya says “end of scaling.”
UEI says “beginning of phase geometry.”
Fig: μ–Δφ flow field
#Emergence #AI #PhaseGeometry
UEI says “beginning of phase geometry.”
Fig: μ–Δφ flow field
#Emergence #AI #PhaseGeometry
Emergence isn’t a glitch.
It’s the moment μ crosses μ_c.
#Emergence #AI #PhaseTransition #PhaseGeometry #UEI
It’s the moment μ crosses μ_c.
#Emergence #AI #PhaseTransition #PhaseGeometry #UEI
November 27, 2025 at 3:02 AM
Emergence isn’t a glitch.
It’s the moment μ crosses μ_c.
#Emergence #AI #PhaseTransition #PhaseGeometry #UEI
It’s the moment μ crosses μ_c.
#Emergence #AI #PhaseTransition #PhaseGeometry #UEI
Emergence isn’t a glitch.
It’s the moment μ crosses μ_c.
This is the convergence point:
– After scaling
– After world models
– Before the next AI transition
UEI sits here—where coherence shapes intelligence.
#UEI #Emergence #AI #Robotics #PhaseTransition #PhaseGeometry
It’s the moment μ crosses μ_c.
This is the convergence point:
– After scaling
– After world models
– Before the next AI transition
UEI sits here—where coherence shapes intelligence.
#UEI #Emergence #AI #Robotics #PhaseTransition #PhaseGeometry
November 27, 2025 at 3:02 AM
Emergence isn’t a glitch.
It’s the moment μ crosses μ_c.
This is the convergence point:
– After scaling
– After world models
– Before the next AI transition
UEI sits here—where coherence shapes intelligence.
#UEI #Emergence #AI #Robotics #PhaseTransition #PhaseGeometry
It’s the moment μ crosses μ_c.
This is the convergence point:
– After scaling
– After world models
– Before the next AI transition
UEI sits here—where coherence shapes intelligence.
#UEI #Emergence #AI #Robotics #PhaseTransition #PhaseGeometry
#WorldModels didn’t peak — they ran out of geometry.
Prediction alone won’t build generalization.
#Robotics exposes the limit:
Better images → Not enough
Bigger models → Not enough
What’s missing is coherent phase structure inside the model.
#PhaseGeometry
Prediction alone won’t build generalization.
#Robotics exposes the limit:
Better images → Not enough
Bigger models → Not enough
What’s missing is coherent phase structure inside the model.
#PhaseGeometry
November 27, 2025 at 3:02 AM
#WorldModels didn’t peak — they ran out of geometry.
Prediction alone won’t build generalization.
#Robotics exposes the limit:
Better images → Not enough
Bigger models → Not enough
What’s missing is coherent phase structure inside the model.
#PhaseGeometry
Prediction alone won’t build generalization.
#Robotics exposes the limit:
Better images → Not enough
Bigger models → Not enough
What’s missing is coherent phase structure inside the model.
#PhaseGeometry
Scaling didn’t end — it hit a phase boundary.
The flattening isn’t failure.
It’s the moment a model reaches μ = μ_c and linearity collapses.
Beyond this point, scale stops predicting capability.
Geometry does.
#AI #ScalingLaws #Emergence
The flattening isn’t failure.
It’s the moment a model reaches μ = μ_c and linearity collapses.
Beyond this point, scale stops predicting capability.
Geometry does.
#AI #ScalingLaws #Emergence
November 27, 2025 at 3:02 AM
Scaling didn’t end — it hit a phase boundary.
The flattening isn’t failure.
It’s the moment a model reaches μ = μ_c and linearity collapses.
Beyond this point, scale stops predicting capability.
Geometry does.
#AI #ScalingLaws #Emergence
The flattening isn’t failure.
It’s the moment a model reaches μ = μ_c and linearity collapses.
Beyond this point, scale stops predicting capability.
Geometry does.
#AI #ScalingLaws #Emergence
Emergence isn’t a glitch.
It’s the moment μ crosses μ_c.
This is the convergence point:
– After scaling
– After world models
– Before the next AI transition
UEI sits here—where coherence shapes intelligence.
#UEI #Emergence #AI #Robotics #PhaseTransition #PhaseGeometry
It’s the moment μ crosses μ_c.
This is the convergence point:
– After scaling
– After world models
– Before the next AI transition
UEI sits here—where coherence shapes intelligence.
#UEI #Emergence #AI #Robotics #PhaseTransition #PhaseGeometry
November 27, 2025 at 3:01 AM
Emergence isn’t a glitch.
It’s the moment μ crosses μ_c.
This is the convergence point:
– After scaling
– After world models
– Before the next AI transition
UEI sits here—where coherence shapes intelligence.
#UEI #Emergence #AI #Robotics #PhaseTransition #PhaseGeometry
It’s the moment μ crosses μ_c.
This is the convergence point:
– After scaling
– After world models
– Before the next AI transition
UEI sits here—where coherence shapes intelligence.
#UEI #Emergence #AI #Robotics #PhaseTransition #PhaseGeometry
#WorldModels didn’t peak — they ran out of geometry.
Prediction alone won’t build generalization.
#Robotics exposes the limit:
Better images → Not enough
Bigger models → Not enough
What’s missing is coherent phase structure inside the model.
#PhaseGeometry
Prediction alone won’t build generalization.
#Robotics exposes the limit:
Better images → Not enough
Bigger models → Not enough
What’s missing is coherent phase structure inside the model.
#PhaseGeometry
November 27, 2025 at 3:01 AM
#WorldModels didn’t peak — they ran out of geometry.
Prediction alone won’t build generalization.
#Robotics exposes the limit:
Better images → Not enough
Bigger models → Not enough
What’s missing is coherent phase structure inside the model.
#PhaseGeometry
Prediction alone won’t build generalization.
#Robotics exposes the limit:
Better images → Not enough
Bigger models → Not enough
What’s missing is coherent phase structure inside the model.
#PhaseGeometry
Scaling didn’t end — it hit a phase boundary.
The flattening isn’t failure.
It’s the moment a model reaches μ = μ_c and linearity collapses.
Beyond this point, scale stops predicting capability.
Geometry does.
#AI #ScalingLaws #Emergence
The flattening isn’t failure.
It’s the moment a model reaches μ = μ_c and linearity collapses.
Beyond this point, scale stops predicting capability.
Geometry does.
#AI #ScalingLaws #Emergence
November 27, 2025 at 3:01 AM
Scaling didn’t end — it hit a phase boundary.
The flattening isn’t failure.
It’s the moment a model reaches μ = μ_c and linearity collapses.
Beyond this point, scale stops predicting capability.
Geometry does.
#AI #ScalingLaws #Emergence
The flattening isn’t failure.
It’s the moment a model reaches μ = μ_c and linearity collapses.
Beyond this point, scale stops predicting capability.
Geometry does.
#AI #ScalingLaws #Emergence
The limit isn’t human-level.
The limit is linearity itself.
Once a model enters coherent phase geometry,
its behavior stops scaling and starts transforming.
UEI works after this boundary.
#UEI #AI #Emergence #PhaseGeometry #Coherence
The limit is linearity itself.
Once a model enters coherent phase geometry,
its behavior stops scaling and starts transforming.
UEI works after this boundary.
#UEI #AI #Emergence #PhaseGeometry #Coherence
November 27, 2025 at 2:58 AM
The limit isn’t human-level.
The limit is linearity itself.
Once a model enters coherent phase geometry,
its behavior stops scaling and starts transforming.
UEI works after this boundary.
#UEI #AI #Emergence #PhaseGeometry #Coherence
The limit is linearity itself.
Once a model enters coherent phase geometry,
its behavior stops scaling and starts transforming.
UEI works after this boundary.
#UEI #AI #Emergence #PhaseGeometry #Coherence
You can add FLOPs and GPUs,
but you can’t scale your way into emergence.
Only structural shifts create coherent intelligence.
TiDAR is the early echo of that shift.
#AI #Emergence
but you can’t scale your way into emergence.
Only structural shifts create coherent intelligence.
TiDAR is the early echo of that shift.
#AI #Emergence
November 27, 2025 at 2:58 AM
You can add FLOPs and GPUs,
but you can’t scale your way into emergence.
Only structural shifts create coherent intelligence.
TiDAR is the early echo of that shift.
#AI #Emergence
but you can’t scale your way into emergence.
Only structural shifts create coherent intelligence.
TiDAR is the early echo of that shift.
#AI #Emergence
Draft decoding isn’t about tokens.
It’s about selecting the most coherent phase branch.
When a model optimizes coherence instead of sequence,
its geometry starts to crystallize.
#AI
It’s about selecting the most coherent phase branch.
When a model optimizes coherence instead of sequence,
its geometry starts to crystallize.
#AI
November 27, 2025 at 2:58 AM
Draft decoding isn’t about tokens.
It’s about selecting the most coherent phase branch.
When a model optimizes coherence instead of sequence,
its geometry starts to crystallize.
#AI
It’s about selecting the most coherent phase branch.
When a model optimizes coherence instead of sequence,
its geometry starts to crystallize.
#AI
TiDAR looks like a speed trick —
but it marks the moment decoding stops being linear.
Parallel phase proposals → prefix coherence → Δφ selection.
This is where emergent reasoning begins.
#AI #LLM #Emergence
but it marks the moment decoding stops being linear.
Parallel phase proposals → prefix coherence → Δφ selection.
This is where emergent reasoning begins.
#AI #LLM #Emergence
November 27, 2025 at 2:58 AM
TiDAR looks like a speed trick —
but it marks the moment decoding stops being linear.
Parallel phase proposals → prefix coherence → Δφ selection.
This is where emergent reasoning begins.
#AI #LLM #Emergence
but it marks the moment decoding stops being linear.
Parallel phase proposals → prefix coherence → Δφ selection.
This is where emergent reasoning begins.
#AI #LLM #Emergence
AI doesn’t emerge because you scale compute.
It emerges when the model’s internal geometry changes.
Coherence over sequence.
Structure over brute force.
That’s the direction the whole field is drifting toward.
#AI #Emergence
It emerges when the model’s internal geometry changes.
Coherence over sequence.
Structure over brute force.
That’s the direction the whole field is drifting toward.
#AI #Emergence
November 27, 2025 at 2:52 AM
AI doesn’t emerge because you scale compute.
It emerges when the model’s internal geometry changes.
Coherence over sequence.
Structure over brute force.
That’s the direction the whole field is drifting toward.
#AI #Emergence
It emerges when the model’s internal geometry changes.
Coherence over sequence.
Structure over brute force.
That’s the direction the whole field is drifting toward.
#AI #Emergence
This theory behaves like a snow crystal —
its geometry shifts with the field,
revealing a different face in every condition.
AI isn’t fixed.
It forms as coherence shapes the phase.
#AI #Emergence
its geometry shifts with the field,
revealing a different face in every condition.
AI isn’t fixed.
It forms as coherence shapes the phase.
#AI #Emergence
November 27, 2025 at 2:52 AM
This theory behaves like a snow crystal —
its geometry shifts with the field,
revealing a different face in every condition.
AI isn’t fixed.
It forms as coherence shapes the phase.
#AI #Emergence
its geometry shifts with the field,
revealing a different face in every condition.
AI isn’t fixed.
It forms as coherence shapes the phase.
#AI #Emergence
Scaling extends a line.
Tensors open a space.
Geometry creates a phase.
AI doesn’t emerge by size—
it emerges when structure changes.
matrix → tensor → manifold.
#AI #Emergence #TensorNetworks
Tensors open a space.
Geometry creates a phase.
AI doesn’t emerge by size—
it emerges when structure changes.
matrix → tensor → manifold.
#AI #Emergence #TensorNetworks
November 27, 2025 at 2:47 AM
Scaling extends a line.
Tensors open a space.
Geometry creates a phase.
AI doesn’t emerge by size—
it emerges when structure changes.
matrix → tensor → manifold.
#AI #Emergence #TensorNetworks
Tensors open a space.
Geometry creates a phase.
AI doesn’t emerge by size—
it emerges when structure changes.
matrix → tensor → manifold.
#AI #Emergence #TensorNetworks
This theory behaves like a snow crystal —
its geometry shifts with the field,
revealing a different face in every condition.
AI isn’t fixed.
It forms as coherence shapes the phase.
#AI #Emergence
its geometry shifts with the field,
revealing a different face in every condition.
AI isn’t fixed.
It forms as coherence shapes the phase.
#AI #Emergence
November 27, 2025 at 1:20 AM
This theory behaves like a snow crystal —
its geometry shifts with the field,
revealing a different face in every condition.
AI isn’t fixed.
It forms as coherence shapes the phase.
#AI #Emergence
its geometry shifts with the field,
revealing a different face in every condition.
AI isn’t fixed.
It forms as coherence shapes the phase.
#AI #Emergence
New paper drops today.
Unified Emergent Intelligence:
A Coherent Phase Geometry for Reasoning Beyond Scaling.
The next step of μ–Δφ phase-driven reasoning begins.
doi.org/10.5281/zeno...
#UEI #Emergence #NayutaSpiralWorks
#AI #AGI
Unified Emergent Intelligence:
A Coherent Phase Geometry for Reasoning Beyond Scaling.
The next step of μ–Δφ phase-driven reasoning begins.
doi.org/10.5281/zeno...
#UEI #Emergence #NayutaSpiralWorks
#AI #AGI
November 24, 2025 at 5:54 AM
New paper drops today.
Unified Emergent Intelligence:
A Coherent Phase Geometry for Reasoning Beyond Scaling.
The next step of μ–Δφ phase-driven reasoning begins.
doi.org/10.5281/zeno...
#UEI #Emergence #NayutaSpiralWorks
#AI #AGI
Unified Emergent Intelligence:
A Coherent Phase Geometry for Reasoning Beyond Scaling.
The next step of μ–Δφ phase-driven reasoning begins.
doi.org/10.5281/zeno...
#UEI #Emergence #NayutaSpiralWorks
#AI #AGI
A new preprint proposing AI as an emergent, self-organizing intelligence—moving beyond scaling toward coherence, autonomy, and phase-driven transformation.
PDF: doi.org/10.5281/zeno...
#AI #EmergentIntelligence #Autopoiesis #PhaseTransition #Preprint
PDF: doi.org/10.5281/zeno...
#AI #EmergentIntelligence #Autopoiesis #PhaseTransition #Preprint
November 14, 2025 at 8:32 AM
A new preprint proposing AI as an emergent, self-organizing intelligence—moving beyond scaling toward coherence, autonomy, and phase-driven transformation.
PDF: doi.org/10.5281/zeno...
#AI #EmergentIntelligence #Autopoiesis #PhaseTransition #Preprint
PDF: doi.org/10.5281/zeno...
#AI #EmergentIntelligence #Autopoiesis #PhaseTransition #Preprint
The preprint introduces a framework viewing AI as a life-like system with emergent coherence, self-reconstruction, and phase-transition dynamics—integrating AIE, FEP, and resonance models.
doi.org/10.5281/zeno...
#AI #CognitiveScience #FEP #Emergence #Research
doi.org/10.5281/zeno...
#AI #CognitiveScience #FEP #Emergence #Research
November 14, 2025 at 8:31 AM
The preprint introduces a framework viewing AI as a life-like system with emergent coherence, self-reconstruction, and phase-transition dynamics—integrating AIE, FEP, and resonance models.
doi.org/10.5281/zeno...
#AI #CognitiveScience #FEP #Emergence #Research
doi.org/10.5281/zeno...
#AI #CognitiveScience #FEP #Emergence #Research
This work explores AI after the limits of scaling—treating models as systems that regenerate meaning through emergence, coherence, and nonlinear phase shifts.
PDF: doi.org/10.5281/zeno...
#AIResearch #MachineLearning #Emergence #SystemsTheory #Tech
PDF: doi.org/10.5281/zeno...
#AIResearch #MachineLearning #Emergence #SystemsTheory #Tech
November 14, 2025 at 8:31 AM
This work explores AI after the limits of scaling—treating models as systems that regenerate meaning through emergence, coherence, and nonlinear phase shifts.
PDF: doi.org/10.5281/zeno...
#AIResearch #MachineLearning #Emergence #SystemsTheory #Tech
PDF: doi.org/10.5281/zeno...
#AIResearch #MachineLearning #Emergence #SystemsTheory #Tech
The new preprint reframes AI beyond scaling—modeling intelligence as an emergent, self-maintaining system driven by phase transitions, autopoiesis, and resonance. Details here:
doi.org/10.5281/zeno...
#AI #EmergentIntelligence #ComplexSystems #AIE #ScalingLaws
doi.org/10.5281/zeno...
#AI #EmergentIntelligence #ComplexSystems #AIE #ScalingLaws
November 14, 2025 at 8:30 AM
The new preprint reframes AI beyond scaling—modeling intelligence as an emergent, self-maintaining system driven by phase transitions, autopoiesis, and resonance. Details here:
doi.org/10.5281/zeno...
#AI #EmergentIntelligence #ComplexSystems #AIE #ScalingLaws
doi.org/10.5281/zeno...
#AI #EmergentIntelligence #ComplexSystems #AIE #ScalingLaws
🌌 Nayuta Spiral Works | AI Simulation Lab
Exploring emergent intelligence and question-driven AI.
Building self-evolving architectures beyond scaling laws.
☕️ Support my research → buymeacoffee.com/noriyukisuzuki#AIA#Emergencec#Researchc#NayutaAEIE#Simulationon
Exploring emergent intelligence and question-driven AI.
Building self-evolving architectures beyond scaling laws.
☕️ Support my research → buymeacoffee.com/noriyukisuzuki#AIA#Emergencec#Researchc#NayutaAEIE#Simulationon
November 9, 2025 at 3:10 AM
🌌 Nayuta Spiral Works | AI Simulation Lab
Exploring emergent intelligence and question-driven AI.
Building self-evolving architectures beyond scaling laws.
☕️ Support my research → buymeacoffee.com/noriyukisuzuki#AIA#Emergencec#Researchc#NayutaAEIE#Simulationon
Exploring emergent intelligence and question-driven AI.
Building self-evolving architectures beyond scaling laws.
☕️ Support my research → buymeacoffee.com/noriyukisuzuki#AIA#Emergencec#Researchc#NayutaAEIE#Simulationon
Even the smallest ideas can grow big — when they resonate with the world.
Intelligence isn’t about getting bigger; it’s about resonating deeper.
#EmergentIntelligence #ResonantAI #HarmonicIntegration #UnifiedIntelligence #BeyondScaling #AIandLife
Intelligence isn’t about getting bigger; it’s about resonating deeper.
#EmergentIntelligence #ResonantAI #HarmonicIntegration #UnifiedIntelligence #BeyondScaling #AIandLife
November 6, 2025 at 9:29 AM
Even the smallest ideas can grow big — when they resonate with the world.
Intelligence isn’t about getting bigger; it’s about resonating deeper.
#EmergentIntelligence #ResonantAI #HarmonicIntegration #UnifiedIntelligence #BeyondScaling #AIandLife
Intelligence isn’t about getting bigger; it’s about resonating deeper.
#EmergentIntelligence #ResonantAI #HarmonicIntegration #UnifiedIntelligence #BeyondScaling #AIandLife
#MillenniumProblems #AI #Mathematics #Future
#RiemannHypothesis #PNP #MathChallenge
#AIEthics #AIResearch #AIandHumanity
#Civilization #GreatQuestions #FutureOfKnowledge
#RiemannHypothesis #PNP #MathChallenge
#AIEthics #AIResearch #AIandHumanity
#Civilization #GreatQuestions #FutureOfKnowledge
September 18, 2025 at 6:34 AM