[A New Olympics Event: Algorithmic Video Surveillance - IEEE Spectrum](https://spectrum.ieee.org/paris-olympics-2024) A New Olympics Event: Algorithmic Video Surveillance [Amazon’s Alexa gets new generative AI-powered experiences | TechCrunch](https://techcrunch.com/2024/01/09/amazons-alexa-gets-new-generative-ai-powered-experiences/) Amazon’s Alexa gets new generative AI-powered experiences Pigs With Human Brain Cells and Biological Chips: How Lab-Grown Hybrid Life Forms Are Bamboozling Scientific Ethics [Pigs With Human Brain Cells and Biological Chips: How Lab-Grown Hybrid Life Forms Are Bamboozling Scientific Ethics](https://singularityhub.com/2024/01/05/pigs-with-human-brain-cells-and-biological-chips-how-lab-grown-hybrid-life-forms-are-bamboozling-scientific-ethics/) https://twitter.com/rowancheung/status/1746559804527489233 ai tools [Supertools | Best AI Tools Guide](https://supertools.therundown.ai/) Nick Bostrom is preparing a new book: "Deep Utopia, Life and Meaning in a Solved World" Google research really just casually drop a paper suggesting that 'real' diagnosis from a human doctor is more likely to kill than using just strictly AI (a) Not using AI at all is costing lives, and (b), using a human *at all* is costing lives https://twitter.com/burny_tech/status/1746681738691002804 [AMIE: A research AI system for diagnostic medical reasoning and conversations](https://blog.research.google/2024/01/amie-research-ai-system-for-diagnostic_12.html) Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk "Inspired by the self-play technique in reinforcement learning and the use of LLMs to simulate human agents, we propose a more effective method for data collection through LLMs engaging in a conversation in various roles. This approach generates a training data via "self-talk" of LLMs that can be refined and utilized for supervised fine-tuning. We introduce an automated way to measure the (partial) success of a dialogue. This metric is used to filter the generated conversational data that is fed back in LLM for training" [[2401.05033] Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk](https://arxiv.org/abs/2401.05033) Large-scale controlled trial at Boston Consulting Group found consultants using GPT-4 solved 12.2% more tasks on average, completed tasks 25.1% more quickly, & produced 40% higher quality results than those without the tool. A new paper looking at legal work done by law students found the same results. [Signs and Portents - by Ethan Mollick - One Useful Thing](https://www.oneusefulthing.org/p/signs-and-portents) https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4573321 https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4626276 Math Education with Large Language Models: Peril or Promise? "Overall we found that LLM-based explanations positively impacted learning relative to seeing only correct answers." "An accompanying qualitative analysis revealed that these boosts in performance were indeed due to participants adopting the strategies they were shown, and that exposure to LLM explanations increased the amount people felt they learned and decreased the perceived difficulty of the test problems." https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4641653 Network of conscious agents realism Hoffman https://twitter.com/tsarnick/status/1746709642754068608 [Extracting interpretable signatures of whole-brain dynamics through systematic comparison | bioRxiv](https://www.biorxiv.org/content/10.1101/2024.01.10.573372v1) Extracting interpretable signatures of whole-brain dynamics through systematic comparison. The data-driven approach here enables the systematic identification and interpretation of disorder-specific dynamical signatures, with applicability beyond neuroimaging to diverse scientific problems involving complex time-varying systems.