Dane Carnegie Malenfant
@dvnxmvlhdf5.bsky.social
MSc. @mila-quebec.bsky.social and @mcgill.ca in the LiNC lab
Fixating on multi-agent RL, Neuro-AI and decisions
Ēka ē-akimiht
https://danemalenfant.com/
Fixating on multi-agent RL, Neuro-AI and decisions
Ēka ē-akimiht
https://danemalenfant.com/
Reposted by Dane Carnegie Malenfant
“Edge of chaos” dynamics are long recognized as a computationally potent dynamical regime that avoids vanishing gradients during learning and allows greater memory and expressivity of a system. This stark difference surprised us, and we think it can help explain our results on neural adaptation.
November 6, 2025 at 2:10 AM
“Edge of chaos” dynamics are long recognized as a computationally potent dynamical regime that avoids vanishing gradients during learning and allows greater memory and expressivity of a system. This stark difference surprised us, and we think it can help explain our results on neural adaptation.
Reposted by Dane Carnegie Malenfant
Indeed, Lyapunov exponents show that fixed points for RL models largely stay near 0, showing these networks’ dynamics lie at the edge of chaos. Whereas SL models’ dynamics are contractive and orderly, keeping very little information in memory for long and having stereotyped expressivity.
November 6, 2025 at 2:10 AM
Indeed, Lyapunov exponents show that fixed points for RL models largely stay near 0, showing these networks’ dynamics lie at the edge of chaos. Whereas SL models’ dynamics are contractive and orderly, keeping very little information in memory for long and having stereotyped expressivity.
3/3 Also appreciating the aura farming from seeing my photo in Taiwanese newspapers haha. Grateful to the organizers and everyone who joined the discussion! www.ctee.com.tw/news/2025102...
國科會攜手CIFAR 辦下世代前沿科學論壇
國科會與加拿大先進研究所(CIFAR)持續強化台加雙邊科研合作，於加拿大班夫(Banff)共同舉辦「下世代前沿科學論壇(Next Generation Frontiers Symposia)」。國科會副主委陳炳宇率台灣人工智慧相關跨域青年學者共同參與，論壇聚焦AI技術、倫理及政策，盼藉雙邊深入交流增...
www.ctee.com.tw
November 3, 2025 at 3:53 PM
3/3 Also appreciating the aura farming from seeing my photo in Taiwanese newspapers haha. Grateful to the organizers and everyone who joined the discussion! www.ctee.com.tw/news/2025102...
2/3 It was wonderful to see machine learning’s impact across so many fields. Especially work from Taiwan. Like Canada, Taiwan has Indigenous peoples; I believe cultural and traditional knowledge can strengthen ML systems and how they generalize and align to real-world contexts.
November 3, 2025 at 3:53 PM
2/3 It was wonderful to see machine learning’s impact across so many fields. Especially work from Taiwan. Like Canada, Taiwan has Indigenous peoples; I believe cultural and traditional knowledge can strengthen ML systems and how they generalize and align to real-world contexts.
Using an LLM to write a paper about improving LLMs' capabilities but the reference section is misplaced
November 2, 2025 at 5:01 AM
Using an LLM to write a paper about improving LLMs' capabilities but the reference section is misplaced
Reposted by Dane Carnegie Malenfant
[9/9] Read the full paper here:
arxiv.org/abs/2510.26396
Coauthors:
Sasha Vezhnevets,
@xtan,
@WilCunningham
arxiv.org/abs/2510.26396
Coauthors:
Sasha Vezhnevets,
@xtan,
@WilCunningham
A Pragmatic View of AI Personhood
The emergence of agentic Artificial Intelligence (AI) is set to trigger a "Cambrian explosion" of new kinds of personhood. This paper proposes a pragmatic framework for navigating this diversification...
arxiv.org
October 31, 2025 at 12:35 PM
[9/9] Read the full paper here:
arxiv.org/abs/2510.26396
Coauthors:
Sasha Vezhnevets,
@xtan,
@WilCunningham
arxiv.org/abs/2510.26396
Coauthors:
Sasha Vezhnevets,
@xtan,
@WilCunningham
October 28, 2025 at 3:00 AM