Tootfinder

André’s rebuttal of the comically obtuse Ruby Central nonsense is striking in its clarity
https://andre.arko.net/2025/10/09/the-rubygems-security-incident/

Poor Speaker Johnson. Mikey just can't avoid hearing about that #TroublesomeWoman
https://www.theguardian.com/comment…

Poor Speaker Johnson. Mikey just can't avoid hearing about that #TroublesomeWoman
https://www.theguardian.com/comment…

Decoding RobKiNet: Insights into Efficient Training of Robotic Kinematics Informed Neural Network
Yanlong Peng, Zhigang Wang, Ziwen He, Pengxu Chang, Chuangchuang Zhou, Yu Yan, Ming Chen
https://arxiv.org/abs/2509.07646

Decoding RobKiNet: Insights into Efficient Training of Robotic Kinematics Informed Neural Network
In robots task and motion planning (TAMP), it is crucial to sample within the robot's configuration space to meet task-level global constraints and enhance the efficiency of subsequent motion planning. Due to the complexity of joint configuration sampling under multi-level constraints, traditional methods often lack efficiency. This paper introduces the principle of RobKiNet, a kinematics-informed neural network, for end-to-end sampling within the Continuous Feasible Set (CFS) under multiple co…

More parents refusing vitamin K shots for newborns, study finds
https://www.nbcnews.com/health/kids-health/parents-refusing-vitamin-k-shots-newborns-study-finds-rcna247580

At the Man vs. Machine hackathon, co-hosted by AI nonprofit METR to test if AI helps people code faster and better, the top prize went to an "AI-supported" team (Kylie Robison/Wired)
https://www.wired.com/story/san-francisco-hackathon-man-vs-machine/

Inside the Man vs. Machine Hackathon
At a weekend hackathon in San Francisco, more than 100 coders gathered to test whether they could beat AI—and win a $12,500 cash prize.

🇺🇦 Auf radioeins läuft...
Samantha Crain:
🎵 Dragonfly
#NowPlaying #SamanthaCrain
https://samanthacrain.bandcamp.com/track/dragonfly
https://open.spotify.com/track/3ROb7gmdk18SFh8QZ9EtVd

Team Xiaomi EV-AD VLA: Learning to Navigate Socially Through Proactive Risk Perception - Technical Report for IROS 2025 RoboSense Challenge Social Navigation Track
Erjia Xiao, Lingfeng Zhang, Yingbo Tang, Hao Cheng, Renjing Xu, Wenbo Ding, Lei Zhou, Long Chen, Hangjun Ye, Xiaoshuai Hao
https://arxiv.org/abs/2510.07871

Team Xiaomi EV-AD VLA: Learning to Navigate Socially Through Proactive Risk Perception - Technical Report for IROS 2025 RoboSense Challenge Social Navigation Track
In this report, we describe the technical details of our submission to the IROS 2025 RoboSense Challenge Social Navigation Track. This track focuses on developing RGBD-based perception and navigation systems that enable autonomous agents to navigate safely, efficiently, and socially compliantly in dynamic human-populated indoor environments. The challenge requires agents to operate from an egocentric perspective using only onboard sensors including RGB-D observations and odometry, without acces…

Ruby Central should give operational control of RubyGems.org to a competent organization and dissolve.
They’re carelessly endangering many prodution projects, including mine, by their incompetence.

I can’t overstate how seriously fucked up Ruby Central is.
They’re responsible for one of the software industry’s major supply chains in the form of RubyGems.org.
And they’re admitting to not knowing who has access to the passwords for their systems and not knowing who has downloaded logs.
Homer Simpson is more competent than that.