One of the questions that is most concerning to me is: How can I measure insufficiency of a reasoning system? Either human or language based reasoning. I think before DAG or information seeking mechanisms we need to understand what (if anything) triggers it.
€140M for Diomande? Imagine the price tag this demon would command.😭💙❤️
Barcelona really had a special talent on their hands.🥶🔥
Some players simply have no price when they’re this good.👀⚽
being able to help another requires the helping person to know about the goal of the other person and the possible actions for achieving that goal - robot
Will be posting more now that I applied to the first Phd program! Working on cognitive computing in sequential decision making. Using @X as technical journal in case people find it interesting. Personal here https://t.co/Y7bj20QujB it out for more info!
I believe everyone should have access to superintelligence, and I wrote a long piece about Meta's philosophy and values for building a positive future for everyone. https://t.co/2ZoNZXZ39T
Releasing the model weights and technical report of Kimi K3.
Kimi K3 is our most capable model: a 2.8T MoE model with native visual understanding and a 1M-token context window.
New model architecture: 2.5x the intelligence per unit of compute, not just more params.
Alongside Kimi K3, we're opening up more of the stack behind it — high-performance attention kernels, MoE communication library, and infrastructure for running agent environments at scale.
Model weights: https://t.co/7m7eEg6Y0B
Tech report: https://t.co/yeu6cjpMCT
Tech blog: https://t.co/YTfiMSNM1f
The idea is that seeking more evidence is an action that is choice-worthy just in case the expected utility of seeking further evidence before making one’s decision is greater than the expected utility of making the decision on the basis of existing evidence
The combination of language and vision (and other senses) allow humans to reduce combinatorial space of what our brains might think they will encounter. “Sensing” since we are babies allows us to us to not have to train our brains with too much information like llms have to. But it’s just a form of learning, they might need more because they cannot combine inputs to reduce space. That doesn’t mean is a bad way of learning in my opinion.