Tootfinder

After a full day of sessions, come relax and connect with fellow attendees at our Get-Together on 16 June, generously sponsored by our partner Search Guard. Enjoy tasty food, drinks, and live music – a fantastic opportunity to meet new people and catch up with familiar faces.
Learn more: https://2025.berlinbuzzwo…

Trump wields his ‘secret weapon’: College accreditation
Trump and his allies are using college accreditation to exert pressure on colleges and universities,
an effort that threatens the independence of accreditors and the stability of the institutions they approve.

Accrediting agencies, which have existed for more than a century, determine whether colleges meet standards of quality
by evaluating every aspect of their finances, operations and student achievement.

Trump wields his ‘secret weapon’: College accreditation
The administration is trying to make good on Trump’s campaign promise to use accreditation, a critical stamp of approval for colleges, to remake higher education.

Test fitting boards in a STEP export of the current rack chassis using Dune3D for the first time.
It's definitely got some rough edges but I think it has potential. Doesn't feel as polished as SolveSpace but the STEP import is a key feature I've found missing in other tools.
But I can't figure out how to do boolean operations on imported step geometry, even if I say it's part of a solid body I'm not able to e.g. do an extrusion to cut off the lid of the ch…

Third-year Cowboys lineman has golden opportunity to get it out the tar https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/06/12/cowboys-asim-richards-enters-year-3/84154872007/

Periodic Bipedal Gait Learning Using Reward Composition Based on a Novel Gait Planner for Humanoid Robots
Bolin Li, Linwei Sun, Xuecong Huang, Yuzhi Jiang, Lijun Zhu
https://arxiv.org/abs/2506.08416

Periodic Bipedal Gait Learning Using Reward Composition Based on a Novel Gait Planner for Humanoid Robots
This paper presents a periodic bipedal gait learning method using reward composition, integrated with a real-time gait planner for humanoid robots. First, we introduce a novel gait planner that incorporates dynamics to design the desired joint trajectory. In the gait design process, the 3D robot model is decoupled into two 2D models, which are then approximated as hybrid inverted pendulums (H-LIP) for trajectory planning. The gait planner operates in parallel in real time within the robot's lea…

Myles Garrett on Aaron Rodgers joining AFC North: 'Good opportunity to put him in the graveyard' https://www.nfl.com/news/myles-garrett-aaron-rodgers-afc-north-good-opportunity-graveyard

Headway management is a net good, but it's no fun being on the bus that's being slowed down to maintain headway. You've got places to be and that bus is draaaagging, missing every light on purpose.
https://www.sfmta.com/media/42843/download?inline

Andriy Zagorodnyuk, a former Ukrainian defence minister, said “an acceptable armistice may never formally arrive” and that Kyiv should formulate “a revised theory of victory” – which accepts that the Kremlin considers itself engaged in a forever war against its smaller neighbour.
The former minister describes the new approach as “strategic neutralisation”, a permanent and dynamic military effort to ensure that Russia’s forces cannot advance and that Moscow becomes “operationally incapab…

OpenAI's o3-pro is much smarter than o3 and amazing at using tools, but the model requires extensive context to perform optimally and may overthink without it (Ben Hylak/Latent.Space)
https://www.latent.space/p/o3-pro

God is hungry for Context: First thoughts on o3 pro
OpenAI dropped o3 pricing 80% today and launched o3-pro. Ben Hylak of Raindrop.ai returns with the world's first early review.

Intelligent Control of Spacecraft Reaction Wheel Attitude Using Deep Reinforcement Learning
Ghaith El-Dalahmeh, Mohammad Reza Jabbarpour, Bao Quoc Vo, Ryszard Kowalczyk
https://arxiv.org/abs/2507.08366

Intelligent Control of Spacecraft Reaction Wheel Attitude Using Deep Reinforcement Learning
Reliable satellite attitude control is essential for the success of space missions, particularly as satellites increasingly operate autonomously in dynamic and uncertain environments. Reaction wheels (RWs) play a pivotal role in attitude control, and maintaining control resilience during RW faults is critical to preserving mission objectives and system stability. However, traditional Proportional Derivative (PD) controllers and existing deep reinforcement learning (DRL) algorithms such as TD3, …