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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]
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]
Looking for revolute to crypto exchangers, I’m sending first via revolute wire transfer if you provide proof of funds. I pay 15% on top. submitted by /u/Proud-Athlete-9410 [link] [Kommentare]
I bought RE at an average of about $0.65, and it is now around $0.40, leaving me down nearly 39%. I understand that crypto is volatile and a price drop alone does not prove anything, but it raises the question: are tokens promoted or offered through Robinhood really any safer from pump-and-dump behavior or rug pulls? Has anyone looked into RE’s tokenomics, liquidity, and who controls most of the supply? Is this normal crypto volatility, or are there legitimate warning signs here? submitted by /u/flyingsquirle [link] [Kommentare]
I built a small web app that lets you run tabular foundation models (currently just Google's TabFM) on spreadsheets without writing any code. Just drop in a CSV/Excel file, click a column header to mark what to predict, hit predict. Rows where the target cell is filled become the in-context examples and empty ones get predicted, right on the grid. A lot of people who'd benefit from these models aren't programmers, so I wrapped it in a UI anyone can use :) Repo: https://github.com/LckyLke/TabFMLabs Feedback very welcome! submitted by /u/Lckylke [link] [Kommentare]
How to submit to AI alignment track? I can only see these at openReview: AAAI 2027 AAAI 2027 Artificial Intelligence for Social Impact Track AAAI 2027 Conference AAAI 2027 Innovative Applications of AI submitted by /u/Silencer_Wasd [link] [Kommentare]