PM openings are at the highest levels since 2022 There are over 7,300 open PM roles at tech companies globally, and trending up. This is 75% above the low we saw in early 2023, and already up nearly 20% since the start of this year. Today we have the most open PM roles we’ve
AI
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Brave Introduces .agent Domains for AI Agent Builders
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Brave is aiming to make .agent domains managed by the community of agentic web builders. Users can claim up to 3 domains and 7 extra after submitting an endorsement for the ICANN application. h/t @kernelkook
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Smart Grip Tech: Passive Hand Exoskeleton for Sensory Data
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Smart Grip Tech: A Passive Hand Exoskeleton for Multimodal Sensory Data Collection
— Ronald van Loon (@Ronald_vanLoon) 24 mars 2026
by @TheHumanoidHub
#AI #Robotics #MachineLearning #ArtificialIntelligence #ML #MI pic.twitter.com/9GpiC8xCgtSmart Grip Tech: A Passive Hand Exoskeleton for Multimodal Sensory Data Collection
by @TheHumanoidHub #AI #Robotics #MachineLearning #ArtificialIntelligence #ML #MI -
Cursor AI Tool Gets Cost Plot X-Axis Direction Right
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Cursor got the x-axis direction right on the cost plot this time!
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Training XGBoost Models for Machine Learning
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Anyways, back to training some super duper XGBoost models. @trainxgb
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Ideological savior complex in AI field
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I think a lot of them are stuck in an ideological savior complex.
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Good wishes for AI resilience research work
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Best of luck @woj_zaremba – I’m glad that smart people like you are working on AI resilience.
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Cursor Releases Full Composer 2 Report
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Read the full report: https://
cursor.com/resources/Comp
oser2.pdf
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Cursor Introduces CursorBench for Realistic Coding Problem Evaluation
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We describe our internal benchmark CursorBench which represents a more realistic sampling of coding problems. We discuss why we think it is important to include the complex problems software engineers see everyday.
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Large Scale Training Infrastructure Kernels and Distributed RL Scaling
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We go into detail about the infrastructure behind large scale training including the kernels we developed and open-sourced for the project. We also discuss distributed training and environment scaling for RL.