Amanda Kirsanov
@ms-kirsanov.bsky.social
Aspiring Computational neuroscientist | self-taught
Integrating Generative AI in most productivity software is a doubled-edge sword.
Most "casual" users might not bothered, and use it sometimes.
But for most "power" users it's just a noise.
Most "casual" users might not bothered, and use it sometimes.
But for most "power" users it's just a noise.
I do not want AI in Slack. I do not want AI in Google. I do not want AI on Facebook. I do not want AI in documents or spreadsheets. I do not want AI in Adobe Acrobat. I do not want AI in Zoom. I do not want AI on news sites. I do not want AI in the patient portal for my doctor's office. I do not wan
January 21, 2026 at 5:05 AM
Integrating Generative AI in most productivity software is a doubled-edge sword.
Most "casual" users might not bothered, and use it sometimes.
But for most "power" users it's just a noise.
Most "casual" users might not bothered, and use it sometimes.
But for most "power" users it's just a noise.
Reposted by Amanda Kirsanov
Way back in 1999, Kenji Doya sketched a big picture theory of the brain:
1️⃣The cerebellum is specialized for supervised learning
2️⃣The basal ganglia are for reinforcement learning
3️⃣The cerebral cortex is for unsupervised learning
How does this hold up in 2026? www.sciencedirect.com/science/arti...
1️⃣The cerebellum is specialized for supervised learning
2️⃣The basal ganglia are for reinforcement learning
3️⃣The cerebral cortex is for unsupervised learning
How does this hold up in 2026? www.sciencedirect.com/science/arti...
January 1, 2026 at 3:36 PM
Way back in 1999, Kenji Doya sketched a big picture theory of the brain:
1️⃣The cerebellum is specialized for supervised learning
2️⃣The basal ganglia are for reinforcement learning
3️⃣The cerebral cortex is for unsupervised learning
How does this hold up in 2026? www.sciencedirect.com/science/arti...
1️⃣The cerebellum is specialized for supervised learning
2️⃣The basal ganglia are for reinforcement learning
3️⃣The cerebral cortex is for unsupervised learning
How does this hold up in 2026? www.sciencedirect.com/science/arti...
Reposted by Amanda Kirsanov
Wanna compare dynamics across neural data, RNNs, or dynamical systems? We got a fast and furious method🏎️
The 1st preprint of my PhD 🥳 fast dynamical similarity analysis (fastDSA):
📜: arxiv.org/abs/2511.22828
💻: github.com/CMC-lab/fast...
I’ll be @cosynemeeting.bsky.social - happy to chat 😉
The 1st preprint of my PhD 🥳 fast dynamical similarity analysis (fastDSA):
📜: arxiv.org/abs/2511.22828
💻: github.com/CMC-lab/fast...
I’ll be @cosynemeeting.bsky.social - happy to chat 😉
January 8, 2026 at 4:08 PM
Wanna compare dynamics across neural data, RNNs, or dynamical systems? We got a fast and furious method🏎️
The 1st preprint of my PhD 🥳 fast dynamical similarity analysis (fastDSA):
📜: arxiv.org/abs/2511.22828
💻: github.com/CMC-lab/fast...
I’ll be @cosynemeeting.bsky.social - happy to chat 😉
The 1st preprint of my PhD 🥳 fast dynamical similarity analysis (fastDSA):
📜: arxiv.org/abs/2511.22828
💻: github.com/CMC-lab/fast...
I’ll be @cosynemeeting.bsky.social - happy to chat 😉