Alexander Huang
11 followers · 12 following · 366 views
on the atlas — 21
- The-Paper-Menagerie+by+Ken+Liu.pdf6 savers
- A nobel prize for John Nash | The Mathematical Intelligencer | Springer Nature Link1 savers
- My Claude Code Psychosis - by Jasmine Sun3 savers
- You and Your Research77 savers
- What sort of post-superintelligence society should we aim for?1 savers
- Top Performers are Pathologically Ambitious - by Matt Beard17 savers
- Step-by-Step Diffusion: An Elementary Tutorial5 savers
- Breaking the jar: Why NeuroAI needs embodiment | The Transmitter: Neuroscience News and Perspectives1 savers
- Neural population-based approaches have opened new windows into neural computations and behavior | The Transmitter: Neuroscience News and Perspectives1 savers
- The missing half of the neurodynamical systems theory | The Transmitter: Neuroscience News and Perspectives1 savers
- Neural manifolds: Latest buzzword or pathway to understand the brain? | The Transmitter: Neuroscience News and Perspectives1 savers
- 1806.073661 savers
- Jascha Sohl-Dickstein on X: "Title: Advice for a young investigator in the first and last days of the Anthropocene Abstract: Within just a few years, it is likely that we will create AI systems that outperform the best humans on all intellectual tasks. This will have implications for your research and https://t.co/vnST8BbKdH" / Twitter3 savers
- Fission // 20 - by Will Savage - Will's Substack4 savers
- dall-e-2.pdf2 savers
- What are Diffusion Models? | Lil'Log16 savers
- How To Ask For An Introduction - by Elad Gil - Elad Blog3 savers
- Induction heads - illustrated — LessWrong5 savers
- On Developing a Mathematical Theory of Interpretability — LessWrong1 savers
- Curius / Onboarding2621 savers
- What Should You Do with Your Life? Directions and Advice - Alexey Guzey73 savers
highlights — 7
The view of the brain as a passive computational engine that tries to understand (i.e., to form “representations” of) the world denies the essential agency of animals to act and to have an impact on the external world.
Breaking the jar: Why NeuroAI needs embodiment | The Transmitter: Neuroscience News and Perspectivesirst, feedback is a ubiquitous characteristic of biological neural networks. Feedforward models in which information flows in only one direction, such as from the retina to the lateral geniculate nucleus to the primary visual cortex, are popular because they are easy to interpret.
Breaking the jar: Why NeuroAI needs embodiment | The Transmitter: Neuroscience News and PerspectivesResolving this paradox is one of the most exciting use cases of neural manifolds, because it makes it possible to abstract away relevant features of behavioral computations from their low-level implementations.
Neural population-based approaches have opened new windows into neural computations and behavior | The Transmitter: Neuroscience News and PerspectivesThey proposed attractor network models—a neural circuit in which activity patterns settle into dynamical stable states—for sensory information processing, memory and decision-making.
The missing half of the neurodynamical systems theory | The Transmitter: Neuroscience News and Perspectivesthis would explain how seemingly gradual changes in brain structure can lead to the sudden emergence of an intellectual capability.
The missing half of the neurodynamical systems theory | The Transmitter: Neuroscience News and PerspectivesScience on AI models means treating the AI models themselves as the object of study, and using techniques from another field. Better understanding of the systems we are building is also often a positive. interpretability is maybe the canonical example of this there is work treating the parameters or activations of neural networks as stat-mech like ensembles there is work probing the apparanet psychology of AI models there is work treating the economic behavior and consequences of models etc. It might be useful to spend an hour brainstorming all the fields that could be used to do science on AI…
Jascha Sohl-Dickstein on X: "Title: Advice for a young investigator in the first and last days of the Anthropocene Abstract: Within just a few years, it is likely that we will create AI systems that outperform the best humans on all intellectual tasks. This will have implications for your research and https://t.co/vnST8BbKdH" / TwitterGreatness is the full realization of human potential. To achieve it without experiencing the beauty that life has to offer is to not achieve it at all.
Fission // 20 - by Will Savage - Will's Substack