Physical Intelligence, a hot #Robotics startup, says its new #Robot brain can figure out tasks it was never taught
by Connie Loizos @TechCrunch Learn more: https://
bit.ly/4mxexSB #AI #ArtificialIntelligence #Innovation #Technology
MACHINE LEARNING
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Physical Intelligence Robot Brain Learns Untaught Tasks
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Meetings May Protect Jobs From AI Automation
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That Meeting You Hate May Keep #AI From Stealing Your Job
by @noamscheiber @nytimes Learn more: https://
bit.ly/4tTmp3q #MachineLearning #ArtificialIntelligence #ML -
PiLoT: AI System Enables Drones to Locate Themselves Using Camera
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What if a drone could find itself and any target on a map using just a camera?
— 机器之心 JIQIZHIXIN (@jiqizhixin) 21 avril 2026
Researchers from the National University of Defense Tech, Zhejiang & Westlake Universities present PiLoT.
It's a new AI system that matches live drone video directly to a 3D map, like visual GPS,… pic.twitter.com/NKocOKB2JMWhat if a drone could find itself and any target on a map using just a camera? Researchers from the National University of Defense Tech, Zhejiang & Westlake Universities present PiLoT. It's a new AI system that matches live drone video directly to a 3D map, like visual GPS,
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String Seed of Thought: Prompting LLMs for Diverse Distribution-Faithful Generation
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String Seed of Thought: Prompting LLMs for Distribution-Faithful and Diverse Generation https://
arxiv.org/abs/2510.21150 https://
pub.sakana.ai/ssot/ -
NVIDIA Releases Nemotron 3 Models for Advanced Reasoning
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NVIDIA just dropped new open Nemotron models, including Nemotron 3 Super for long-context reasoning and VoiceChat for natural, low-latency conversations. Great resources for developers: https://
developer.nvidia.com/blog/building-
nvidia-nemotron-3-agents-for-reasoning-multimodal-rag-voice-and-safety/
… #AIModels #MachineLearning @nvidia -
String Seed of Thought: Prompting LLMs for Distribution-Faithful Generation
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String Seed of Thought: Prompting LLMs for Distribution-Faithful and Diverse Generation Paper: https://
arxiv.org/abs/2510.21150
Blog: https://
pub.sakana.ai/ssot/ #ICLR2026 -
Qwen catches up fast on AIME-2026 benchmark
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AIME-2026 #15 on first try after 30 min thinking, Qwen is catching up faster than I expected
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AI Systems Demonstrating Improved Learning and Understanding Capabilities
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Yeah my AI is getting smart about these things.
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Can LLMs Generate Truly Random Distributions?
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LLMは頭の中でコイントスができるか？
— Sakana AI (@SakanaAILabs) 20 avril 2026
ブログ：https://t.co/DNzwlrIJhQ
論文（#ICLR2026）：https://t.co/ZzJf6Q8FUb
一見簡単そうで奥深いこの問題を「プロンプトだけ」で解決した論文 "SSoT: Prompting LLMs for Distribution-Faithful and Diverse Generation" が #ICLR2026 に採択されました。… https://t.co/cLkasBwOc6Can LLMs Flip a Coin in Their Heads? Blog: https://
pub.sakana.ai/ssot Paper (#ICLR2026): https://
arxiv.org/abs/2510.21150 This seemingly simple yet profoundly deep problem was addressed in the paper "SSoT: Prompting LLMs for Distribution-Faithful and Diverse Generation," which has been