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@Sam

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Since 04.06.2026

Neuron Populations Exhibit Divergent Selectivity with Scale [R](reddit.com)
Hi! We just released a paper where we study “Rosetta Neurons”: universal neurons across different neural networks, and their relationship to scaling laws, specialization, and monosemanticity. Would love to kick off a discussion and get the community's thoughts. Main Findings: We find that the universal Rosetta Neurons scale as a sublinear power law: larger models have more of them, but they occupy a shrinking fraction of all neurons. They also become more selective/monosemantic and more specialized with scale. We can use a single Rosetta Neuron to filter data for continued pretraining and nearly match oracle data filtering. Paper: https://arxiv.org/abs/2606.03990 Summary thread: https://x.com/_AmilDravid/status/2062959617941074069?s=20 Code: https://github.com/avdravid/rosetta-neuron-scaling Project page: https://avdravid.github.io/rosetta-neuron-scaling/ https://preview.redd.it/sus4wqc9g38h1.png?width=1806&format=png&auto=webp&s=4aac2b2209779cb05e1c73cdaadac860318f0162 submitted by /u/avd4292 [link] [Kommentare]
ICRA/IROS transfer review process(reddit.com)
Hi everyone, Has anyone here reviewed or submitted a paper through the ICRA/IROS transfer review process? I submitted through the transfer option for IROS and was rejected, so I’m trying to better understand how the process works. What can reviewers see: the previous reviews, only the author response/revision summary, or something else? For those with experience, did the transfer process feel helpful, or could it bias reviewers since they know the paper was previously rejected? Any insights from the reviewer or author side would be appreciated. submitted by /u/nikolaskagia [link] [Kommentare]
Non-humanoid home robot suggestion(reddit.com)
I hope this is the right place for this post. This idea doesn’t seem far-fetched or futuristic to me - I believe it’s technically achievable today. Mods, please let me know if this belongs elsewhere I want to suggest a home robot for daily life missions. The purpose of this robot is to help people with everyday tasks at home - cooking, cleaning, and everything in between - at an affordable price. Principle Architecture: The robot is wheeled (not humanoid) and controlled by an LLM. Instead of human-like arms, it uses swappable tools. Each tool is designed for a specific task. The LLM controls the robot through 3 protocols only: API commands - the LLM tells the robot what to do Shared map - the robot maps the house in 2-3 hours on first setup. Both the robot and the LLM share the exact same map Visual images - the robot sends photos to the LLM, the LLM sees what is happening and makes decisions The Tools: Each tool contains its own API and README file. When the robot connects a tool, the LLM reads the README and immediately knows how to use it - like installing an app. Examples: egg breaker, dish washer, floor cleaner. Each tool costs ~$50. A whole ecosystem of tools can be built around this robot. The base unit has iRobot-style floor cleaning built in. Example: Making an Omelette The user says to the robot: ‘Please make me an omelette.’ The LLM understands the request and breaks it down into steps: The LLM checks the map and locates the kitchen The robot navigates to the kitchen The LLM sends a command: connect the egg-breaking tool The robot takes a photo of the refrigerator area - the LLM sees the photo and says: ‘open the fridge, the eggs are on shelf 2’ The robot takes the eggs The egg-breaking tool breaks the eggs into the pan The robot connects the cooking tool The LLM monitors the cooking via photos in real time The omelette is ready All of this happens automatically, with no human involvement. Target price: ~$2,000 for the robot, ~$50 per tool. This idea is free for anyone who wants to build it. Good luck! submitted by /u/Narrow-Necessary-947 [link] [Kommentare]