I doubt that knowing and thinking are activities that can be performed well in an unspecified first person plural
RESEARCH
-
Reductionism and Holism Need Precise Definitions
By
–
I don't think that the word "reductionist" carries a lot of useful meaning (neither does "holistic"). You need to be more specific if you want to make an argument.
-
Grounding LLMs with Context: Does Sensory Data Change Arguments?
By
–
If you ground the LLM consistently in a context (for instance by constrained them with sensory data, a personality model and memories of all previous interactions), does your argument change?
-
Simulation vs Simulacrum: Causal Structure in AI Systems
By
–
Arguably, there is a difference between a simulation (recreation of a causal structure on a different substrate) and a simulacrum (recreating observables without recreating the causal structure)
-
Understanding AI Ontological Status and Machine Consciousness
By
–
Do you have the impression that you observe substantial changes in the degree to which most people comprehend the ontological status of your experience, or are you just reporting that you found a different twitter timeline?
-
AI Consciousness Binary State Self Awareness Variation
By
–
My own consciousness is quite binary (I am either conscious or unconscious), even though my content and degree of self awareness varies.
-
Anterograde Amnesia and LLM Consciousness: Memory Context Analysis
By
–
Anterograde amnesia (inability to form memories beyond the working memory context) does not make a person unconscious; conversely, the ability to retain the prompt/response context should not change the consciousness status of an LLM.
-
Can LLMs Simulate Self-Aware Persons or Just Simulations
By
–
What makes the whole LLM/self-awareness debate so tricky is that neurons are not self-aware either. Instead, our neurons *simulate* a person, which experiences itself as self-aware. Can LLMs simulate a self-aware person too, or are they just simulating the simulation of a person?
-
Personal AI Benchmarks: Measuring Real Progress in New Models
By
–
I recommend having a list of things AI can almost do well, but still fail at right now These are your personal benchmarks, and the only real way to understand if new models (think GPT-5, Gemini 2.0, etc.) are actually a leap forward in your context or just an incremental change
-
Scale AI Discusses Red Teaming and Responsible AI at GTC24
By
–
Join this session at #GTC24 on March 19 as @scale_AI discusses topics like red teaming, reinforcement learning from human feedback, and frameworks for responsible AI to ensure that fine-tuned models behave as intended. Register now. https://t.co/I8xsl0bCF7 pic.twitter.com/SCmhN7Df0Y
— NVIDIA AI (@NVIDIAAI) 5 mars 2024Join this session at #GTC24 on March 19 as @scale_AI discusses topics like red teaming, reinforcement learning from human feedback, and frameworks for responsible AI to ensure that fine-tuned models behave as intended. Register now. https://
nvda.ws/48GWLni