Scaling knowledge gives you static competence. Intelligence gives you adaptability.
AI
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Proof-Carrying Evolution: Secure AI Propagation via Strict Selection Gates
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The RSI era should not be ungated self-modification. It should be proof-carrying evolution: Every agent action emits proof.
Every proof enters a Selection Gate.
Only what passes eval, risk, scope, canary, monitoring, and rollback earns propagation. Private intelligence stays -

CEO Billionaire Proposes Proof-Gated Evolution Constitution for AI: GoalOS
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RSI was missing a constitution. Not “AI improves itself.” Proof-gated evolution: Aim → Act → Prove → Evolve. No proof, no evolution.
No eval, no propagation.
No rollback, no release. AEP-001: GoalOS https://
github.com/MontrealAI/pro
of-gradient/blob/main/docs/standards/AEP-001/GoalOS_Proof-of-Evolution-Constitution_AEP001_v12.1_Institutional_Final.pdf
… #GoalAI #MontrealAI #QuebecAI -
Proof-Carrying Evolution for Safe AI Self-Improvement
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The RSI era should not be ungated self-modification. It should be proof-carrying evolution: Every agent action emits proof.
Every proof enters a Selection Gate.
Only what passes eval, risk, scope, canary, monitoring, and rollback earns propagation. Private intelligence stays -

RSI missing constitution; MontrealAI unveils proof-gated evolution GoalOS
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RSI was missing a constitution. Not “AI improves itself.” Proof-gated evolution: Aim → Act → Prove → Evolve. No proof, no evolution.
No eval, no propagation.
No rollback, no release. AEP-001: GoalOS https://
github.com/MontrealAI/pro
of-gradient/blob/main/docs/standards/AEP-001/GoalOS_Proof-of-Evolution-Constitution_AEP001_v12.1_Institutional_Final.pdf
… #GoalOS #MontrealAI -
Runway’s Aleph 2.0 excels at digital/cartoon face swaps.
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Runway's Aleph 2.0 works really well on swapping in digital/cartoon faces. This was always tricky for me. pic.twitter.com/2tBWtx3HZA
— Gene Kogan (@genekogan) 6 juin 2026Runway's Aleph 2.0 works really well on swapping in digital/cartoon faces. This was always tricky for me.
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AI Perception Framework for Articulated Objects: Introducing CAPER++
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Can AI really grasp how articulated objects like robot arms or tools move and change shape? Enter CAPER++: a unified framework for category-level articulated object pose perception. It models objects as root and connected parts linked by joints, uses a clever math trick (SE(3)
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Why Healthcare Still Isn’t Ready for AI
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Why Healthcare Still Isn’t Ready for AI
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @HaroldSinnott @fogoros @iainljbrown @NandoDF @katecrawford @drhassanrashidi @YuHelenYu -
GoalOS: AI Improvement, Governance, and Usability for Institutions via Proof-Gradient
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GoalOS makes AI work improvable, governable, provable, and institutionally usable. https://
github.com/MontrealAI/pro
of-gradient
… #GoalOS #MontrealAI