The Cultural Divide Between Mathematics and AI
https://sugaku.net/content/understanding-the-cultural-divide-between-mathematics-and-ai/
#HackerNews #CulturalDivide #Mathematics #AI #AIandMath #UnderstandingAI
The Cultural Divide Between Mathematics and AI
https://sugaku.net/content/understanding-the-cultural-divide-between-mathematics-and-ai/
#HackerNews #CulturalDivide #Mathematics #AI #AIandMath #UnderstandingAI
Understanding AI: Pros, Cons & Responsible Use
Explore the benefits and risks of AI, helping you make informed, cautious decisions for responsible application in various fields.
Read More : https://aileadersmagazine.com/understanding-the-pros-and-cons-of-ai-to-be-cautious-in-its-application/
#UnderstandingAI
#benefitsandrisksofAI
#ProsandCons
#AI
#aileadersmagazine
🧠Unveiling the Hidden Layers of AI: Understanding the 'Black Box' 📊
Ever wondered what makes AI tick? In my latest video, we dive deep into the 'hidden layers' of artificial intelligence, shedding light on the 'black box' that even experts don't fully understand.
🎬 Watch Now: https://www.youtube.com/watch?v=2FqscUaEH1k&list=PLecaVUVLHPqooXwrEGygjRMJT0K2GZQur&index=2
📥 Download Slides and Script: https://drive.google.com/file/d/1rL3ewdnhstdsuF7OXPSHT6pHfEZN-iq1/view?usp=sharing
#UnderstandingAI #AITransparency #DeepLearningTech #NeuralNetworkInsights #BackpropagationExplained #AIHiddenLayers #BlackBoxAI
Quick reminder that this is happening in a week's time, both in person in summerish Umeå, and online (whatever season you are currently experiencing):
What: Panel discussion on *The stories we tell (and are told) about AI*
When: Friday, May 24th, 14.15-15.45
Where: HumLab and Zoom
More information, and how to register for online participation here: https://www.umu.se/en/events/the-stories-we-tell-and-are-told-about-ai_11930541/
All welcome!
Yesterday, during a seminar series organised by Stevan Harnad in Montréal, I had the pleasure to present some of my joint work with @raphaelmilliere on grounding in Large Language Models, as well as more recent work of mine on understanding large AI systems through functional ontologies.
If you are interested, the recording can be found here:
https://www.youtube.com/watch?v=uZ5hjU7xAR8
(After an awkward attempt at French in the introduction, I quickly switch to English)
Nice (old-ish) post by Ryan O'Connor on emergent capabilities in LLMs. I particularly liked this passage:
"It would be useful to have an epistemological hierarchy of tasks, in which salient and measurable abilities are identified and listed as a required antecedent to more complicated tasks which utilize them. Such a hierarchy may help us begin to predict at what scale some emergent abilities may occur, or at least provide an ordering on the set."
1/2
#LLMs #understandingAI #PhilosophyOfAI
Cool little comment paper by Michael Frank on why LLMs and other Large Pre-Trained AI models can be fruitfully studied using methods and techniques coming from developmental psychology:
https://www.nature.com/articles/s44159-023-00211-x
I've been working on a similar approach to understanding such systems, so it's great to see such ideas get their chance in the Nature spotlight!