#phildeeplearning search results
my slides for last friday's #phildeeplearning debate on "do language models need sensory grounding for meaning and understanding" are now online at consc.net/papers/groundi…. i was on the "no" side. my final summary slide with a slightly more nuanced view is below.
Starting our panel on how deep learning can influence cognitive science and vice versa, with DeepMind's Ishita Dasgupta #phildeeplearning
Next, Anders Søgaard about how LLMs see the world, and pushing back against the octopus thought experiment #phildeeplearning
Why studying both biological neural networks and artificial neural networks with the same tools can have a synergistic effect #phildeeplearning
Starting this morning with Nick Shea on the importance of logical reasoning and it's emergence in DNNs #phildeeplearning
What can we learn from the emergence of content effects and other human-like biases in LLMs? #phildeeplearning
Next, Jacqueline Harding discusses how to operationalize representation in DNNs using probing classifiers #phildeeplearning
Rosa Cao points out that probing a system (human, animal, or AI) to look for changes in internal states that indicate representations of the world is crucial to determine if these systems are truly explanatory. #phildeeplearning
She asks: if a medical student is able to memorize all of the available questions for a medical licensing examination and passes it, can we say whether there is (or there is not) true understanding of the subject matter? #phildeeplearning
To close the symposium on representation, Tony Chen, Mitchell Ostrow, Hokyung Sung & Ced Zhang present joint work on whether DNNs bave concepts #phildeeplearning
And now for our final speaker, Philippe Verreault-Julien talking about some lessons LLMs teach us about understanding #phildeeplearning
Last talk before our panel discussion, @criticalneuro on why LLMs need a prefrontal cortex #phildeeplearning
Next, @KriegeskorteLab talking about recent methodological revolution(s) in computational neuroscience, party fueled by deep learning #phildeeplearning
There were huge queues going around the block for the opening event on the fundamental question: Do Language Models Need Sensory Grounding for Meaning and Understanding? #phildeeplearning
A very interesting talk by @raphaelmilliere on Compositionality in Deep Neural Networks & the Classic AI Dilemma. #phildeeplearning Livestream at:nyu.zoom.us/j/94330455358 The program: phildeeplearning.github.io
Fascinating presentations and discussions on “the human identity crisis.” #philosophy #phildeeplearning #LLMs #AI
Happy to share that the recordings of the #phildeeplearning conference are now available! Head to phildeeplearning.github.io to find individual links in the program, or to phildeeplearning.github.io/recordings for the whole Youtube playlist.
The Philosophy of Deep Learning Conference Videos are now all online. Looking to having a moment to binge watch all of these: youtube.com/playlist?list=… #phildeeplearning
Looking forward to catching the recordings of this Philosophy of Deep Learning conference reflecting on the deeper patterns of AI and the current inflection point. You can catch the livestream of the last day of #phildeeplearning via phildeeplearning.github.io/streaming
Happy to share that the recordings of the #phildeeplearning conference are now available! Head to phildeeplearning.github.io to find individual links in the program, or to phildeeplearning.github.io/recordings for the whole Youtube playlist.
Very excited to share the final line-up and program of our upcoming conference on the Philosophy of Deep Learning! Co-organized with @davidchalmers42 & @De_dicto and co-sponsored by @columbiacss's PSSN & @nyuconscious. Info, registration & full program: phildeeplearning.github.io
Thanks for helping organize this very timely event. Any ETA for when the Zoom recordings from #phildeeplearning will be available online? Looking forward to watching them!
yes, the whole LLM/grounding debate (and whole #phildeeplearning conference) was recorded and hopefully will be online before long.
my slides for last friday's #phildeeplearning debate on "do language models need sensory grounding for meaning and understanding" are now online at consc.net/papers/groundi…. i was on the "no" side. my final summary slide with a slightly more nuanced view is below.
It's a wrap for the #phildeeplearning conference! Thanks again to my co-conspirators @davidchalmers42 & @De_dicto, everyone else @nyuconscious and @columbiacss who helped make this happen, & our wonderful group of presenters! Keep an eye on phildeeplearning.github.io for recordings!
@neurograce arguing that many of the features that make neural networks and brains hard to study are shared #phildeeplearning
And now for our final speaker, Philippe Verreault-Julien talking about some lessons LLMs teach us about understanding #phildeeplearning
And now for our final symposium, starting with @neuranna on linguistic and functional competence in LLMs #phildeeplearning
Why studying both biological neural networks and artificial neural networks with the same tools can have a synergistic effect #phildeeplearning
Interesting talk by @neurograce on the value of taking a unified approach to understanding biological and artificial neural systems at the @nyuconscious #phildeeplearning conference!
"Linguistic Turn " to philo was a watershed . Being contemporary, it comes at last sections in western philo book .It bcomes tough 2 comprehend also as u are already in love with the romance of rationalism , heroics of empiricism and practicality of kantianism #phildeeplearning
There were huge queues going around the block for the opening event on the fundamental question: Do Language Models Need Sensory Grounding for Meaning and Understanding? #phildeeplearning
A very interesting talk by @raphaelmilliere on Compositionality in Deep Neural Networks & the Classic AI Dilemma. #phildeeplearning Livestream at:nyu.zoom.us/j/94330455358 The program: phildeeplearning.github.io
Inspiring talks yesterday as well, e.g., @criticalneuro from @MSFTResearch arguing why large language models need a prefrontal cortex #phildeeplearning
my slides for last friday's #phildeeplearning debate on "do language models need sensory grounding for meaning and understanding" are now online at consc.net/papers/groundi…. i was on the "no" side. my final summary slide with a slightly more nuanced view is below.
A very interesting talk by @raphaelmilliere on Compositionality in Deep Neural Networks & the Classic AI Dilemma. #phildeeplearning Livestream at:nyu.zoom.us/j/94330455358 The program: phildeeplearning.github.io
Starting our panel on how deep learning can influence cognitive science and vice versa, with DeepMind's Ishita Dasgupta #phildeeplearning
Next, Anders Søgaard about how LLMs see the world, and pushing back against the octopus thought experiment #phildeeplearning
Last talk before our panel discussion, @criticalneuro on why LLMs need a prefrontal cortex #phildeeplearning
Starting this morning with Nick Shea on the importance of logical reasoning and it's emergence in DNNs #phildeeplearning
Why studying both biological neural networks and artificial neural networks with the same tools can have a synergistic effect #phildeeplearning
What can we learn from the emergence of content effects and other human-like biases in LLMs? #phildeeplearning
@neurograce arguing that many of the features that make neural networks and brains hard to study are shared #phildeeplearning
Next, @KriegeskorteLab talking about recent methodological revolution(s) in computational neuroscience, party fueled by deep learning #phildeeplearning
Opening the symposium on representation in DNNs, Fintan Mallory asks what we want from a theory of representation in this context #phildeeplearning
Next, Jacqueline Harding discusses how to operationalize representation in DNNs using probing classifiers #phildeeplearning
Rosa proposing more specific (and better) questions can ask about the extent to which a DNN model is explanatory #phildeeplearning
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