Postdoc at Meta FAIR, Comp Neuro PhD @McGill / Mila. Looking at the representation in brains and machines 🔬 https://dongyanl1n.github.io/https://bsky.app/profile/dongyanl1n.bsky.socialhttps://bsky.app/profile/dongyanl1n.bsky.social/post/3mhbkvnje7s2kNew position paper from Emmanuel Dupoux, Yann LeCun, Jitendra Malik: arxiv.org/pdf/2603.15381 CogSci insights, especially from evolution and early development, can be critical for a new AI paradigm that focuses on learning autonomously from a stream of interactive, multimodal data. https://arxiv.org/pdf/2603.1538117 Mar 2026 18:08 +0000at://did:plc:yjxtja7munnukwnmzhqemji4/app.bsky.feed.post/3mhbkvnje7s2khttps://bsky.app/profile/dongyanl1n.bsky.social/post/3lpcndr5uck2cNew work: AI agents learn from adult data, inheriting our biases when making decisions. What if we trained them to think like kids, who rigorously explore and make causal inferences? [contains quote post or other embedded content]16 May 2025 18:19 +0000at://did:plc:yjxtja7munnukwnmzhqemji4/app.bsky.feed.post/3lpcndr5uck2chttps://bsky.app/profile/dongyanl1n.bsky.social/post/3lbkjhq2rqc2mNeuroscience is starting to grow past relying on single neuron selectivity to understand computations, now that we have more data and better analyses. This could have interesting implications for mechanistic interpretability in AI models as well! [contains quote post or other embedded content]22 Nov 2024 17:38 +0000at://did:plc:yjxtja7munnukwnmzhqemji4/app.bsky.feed.post/3lbkjhq2rqc2m