What if our consciousness is not a ‘thing’ we have, but a simulation our brain runs to make sense of itself? At our upcoming conference, we are thrilled to host Joscha Bach at Future Day 2026 – he is a leading voice in cognitive architectures and the founding director of the California Institute for Machine…
The state of the art deep learning models do not really embody understanding. This panel will focusing on AGI transparency, auditability and explainability.. differences btw causal understanding and prediction as well as surrounding practical / systemic / ethical issues. Can the blackbox problem be fully solved without machine understanding (the AI actually ‘understanding’ rather than…
This talk is part of the ‘Stepping Into the Future‘ conference. Synopsis: The arrival of homo sapiens on Earth amounted to a singularity for its ecosystems, a transition that dramatically changed the distribution and interaction of living species within a relatively short amount of time. Such transitions are not unprecedented during the evolution of life,…
Joscha Bach on GPT-3, achieving AGI, machine understanding and lots more! Discussion points: 02:40 What’s missing in AI atm? Unified coherent model of reality 04:14 AI systems like GPT-3 behave as if they understand – what’s missing? 08:35 Symbol grounding – does GPT-3 have it? 09:35 GPT-3 for music generation, GPT-3 for image generation, GPT-3…
Joscha Bach discusses progress made in AI so far, what’s missing in AI, and the conceptual progress needed to achieve the grand goals of AI. Discussion points: 0:07 What is intelligence? Intelligence as the ability to be effective over a wide range of environments 0:37 Intelligence vs smartness – interesting models vs intelligent behavior 1:08…
Joscha Bach on ethical progress, and AI – it’s fascinating to think ‘What’s the ultimate utility function?’ – should we seek the answer in our evolved motivations? Discussion points: 0:07 Future directions in ethical progress 1:13 Pain and suffering – concern for things we cannot regulate or change 1:50 Reward signals – we should only get…
Joscha Bach discusses problems with achieving AI alignment, the current discourse around AI, and inefficiencies of human cognition & communication. Discussion points: 0:08 The AI alignment problem 0:42 Asimov’s Laws: Problems with giving AI (rules) to follow – it’s a form of slavery 1:12 The current discourse around AI 2:52 Ethics – where do they…
Joscha Bach discusses biases in group think. Discussion points: – In-group convergence: thinking in true & false vs right & wrong – The group mind may be more stupid than the smartest individuals in the group Joscha Bach, Ph.D. is an AI researcher who worked and published about cognitive architectures, mental representation, emotion, social modeling,…
Here Joscha Bach discusses consciousness, it’s relationship to qualia and whether an AI or a utility maximizer would do with it. What is consciousness? “I think under certain circumstances being conscious is an important part of a mind; it’s a model of a model of a model basically. What it means is our mind (our…
True & false vs right & wrong – People converge their views to set of rights and wrongs relative to in-group biases in their peer group. As a survival mechanism, convergence in groups is sometimes more healthy than being right – so one should optimize for convergence sometimes even at the cost of getting stuff…