The future is inclusive. Here are four assistive technology devices that are empowering people with disabilities and changing their lives.| The Latest National Disability News
Posted by Fahd Imtiaz – Senior Product Manager and Kseniia Shumelchyk – Engineering Manager, Developer RelationsThis week at Made by Google, we introduced the new suite of Pixel devices, including the Pixel 10 Pro Fold and Pixel Watch 4. These devices are more than just an evolution in hardware; they are built to showcase the latest updates in Android, creating new possibilities for you to build experiences that are more helpful, personal, and adaptive than before.| Android Developers Blog
Reinforcement learning meets iterated game theory meets theory of mind| The Dan MacKinlay stable of variably-well-consider’d enterprises
Fine tuning foundation models| The Dan MacKinlay stable of variably-well-consider’d enterprises
Figure 1: And Nadab and Abihu, the sons of Aaron, each took his censer, put fire in it, added incense, and offered strange fire before the Lord, which He had not commanded them. Then fire went out from the Lord and devoured them, and they died before the Lord. Lev 10:1-2 Notes on committing to things, and the implications of that for cooperation. Relevant to multi-agent causality where agents make decisions, in the context of iterated games in multi-agent systems with applications to AI safe...| The Dan MacKinlay stable of variably-well-consider’d enterprises
Figure 1 An interesting inverse design question: how should I design a system to optimise for truthfulness? Brief summary here. @Frongillo2024Recent: This note provides a survey for the Economics and Computation community of some recent trends in the field of information elicitation. At its core, the field concerns the design of incentives for strategic agents to provide accurate and truthful information. Such incentives are formalized as proper scoring rules, and turn out to be the same obj...| The Dan MacKinlay stable of variably-well-consider’d enterprises
Figure 1 Learning agents in a multi-agent system which account for and/or exploit the fact that other agents are learning too. This is one way of formalising the idea of theory of mind. Learning with theory of mind works out nicely for reinforcement learning, in e.g. opponent shaping, and may be an important tool for understanding AI agency and AI alignment, as well as aligning more general human systems. Other interesting things might arise from a good theory of other-aware learning, such ...| The Dan MacKinlay stable of variably-well-consider’d enterprises
patch idea: dynamic tuning for IN queries| Tomas Vondra
Content warning: Links to and discussion of edgy people with perverse opinions on hot-button topics too diverse to mention but which surely include gender, eugenics, speech and religion Notes on eccentrics, mavericks, outsider geniuses and fools. What my family called stroppy people. Lacking an identifiable label so you show up in diversity metrics? Not sure whether you are rebelling against society or conforming to a subgroup? How do you get by as a mad outsider? Will you be right twice a da...| The Dan MacKinlay stable of variably-well-consider’d enterprises
Game theory and decision theory for lots of interacting agents| The Dan MacKinlay stable of variably-well-consider’d enterprises
As an instructional designer working in an organization focused on patient safety and quality, I hear a lot about “adaptive work.” This is the kind of work that focuses on changing attitudes, values, and beliefs. It’s the kind of work … Continue reading →| Instructional Design Fusions