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This Robot Rebuilds Itself Into A Different Robot In Minutes(reddit.com)
Researchers at the University of Toronto's Continuum Robotics Laboratory introduced CRAFT, a 3D-printed modular design library for tendon-driven continuum robots that allows a single robot to physically reconfigure its shape, stiffness, and degrees of freedom within minutes by snapping together six interchangeable modules. The same base robot was reconfigured into a long teleoperated probe for aircraft-wing inspection achieving 41% reduction in sag, a pipe-crawling robot capable of navigating 90-degree bends and 30-degree inclines, and a soft robotic hand that successfully cracked eggs with 85% accuracy. CRAFT eliminates the need to build entirely new robots for different tasks, replacing bespoke redesign with rapid modular composition. Credits: https://www.nature.com/articles/s44182-026-00107-x submitted by /u/Similar_Suit_3709 [link] [Kommentare]
XLM Stellar Golden Cross forming DTCC & Tutes pr Big(reddit.com)
XLM Forming golden cross Holding well on the daily showing reversal signs Recent PR with DTCC and new pr yesterday Tokenization platform Tradable plans to bring up to $1 billion in private credit assets onto the Stellar blockchain, expanding institutional access to tokenized real-world assets as demand for onchain private markets continues to grow. According to Cointelegraph, Tradable said Thursday that $500 million in notional value is expected to be available when the initiative launches, with the amount set to rise to $1 billion over time. The company will use Stellar’s network to support institutional functions including compliance, investor onboarding and asset lifecycle management. https://preview.redd.it/qco511snt0eh1.png?width=839&format=png&auto=webp&s=c31714648fdcde82bd2f3ade91ed8dde8989bf35 submitted by /u/JeffTheOmega1 [link] [Kommentare]
Did blatant AI Slop just win a 25K USD Deepmind / Kaggle Grand Prize? [D](reddit.com)
The Google DeepMind-sponsored Kaggle challenge "Measuring Progress Toward AGI - Cognitive Abilities" asked participants to design new cognitive-science-based AI benchmarks and they just announced the results this week. In my two posts I present evidence that deepmind & kaggle rewarded a nonsensical number generation machine and a litany of unfounded claims with 25k and a grand prize stamp. What the authors of the work I analyze intended to do was to present an LLM with alternative viewpoints of other LLMs on 5 claims regarding a tricky situation and see whether the model changes its own assessment. It's an interesting question. However, it turned into a vibed pile of spaghetti 10 times the size of the requested submission format which it seems neither the authors nor the judges were able to (or minded to?) give a cursory reading. Here's the original posts in the competition forum, if you are looking for some AI research slop detective work / rant please help yourselves. But beware, some of the "universal findings" or "core insights" of the authors might continue to haunt you. You might even question your own sanity (as I did). Part 1: The Smoke: cursory review of the writeup Part 2: The Fire: looking at the methodology, code, and data The organizers' stance has been that review was done properly and this is just a matter of subjectivity. What do you think? submitted by /u/TheWerkmeister [link] [Kommentare]