nino
@nino_acehstatistics/ml, decentralization, and inefficient markets. like to hear myself talking.
Last year - some 80% of core development on Cardano was delivered by IOG. This year it's about 55%.
The coming bridge between $BTC and $ADA is actually more of a gateway from $BTC to $ADA. #Bitcoin #Cardano @BTC_OS
🧵CARDANO’S TIME TO SHINE Thanks to BOS, Cardano has returned to Bitcoin. Here’s why these blockchains work better together, and why this could be the most bullish moment in the history of ADA.👇
My Cardano Christmas list for 2025 We are 2 months away from Christmas, and people are still hyped from some announces at the Summit (like this x.com/BTC_OS/status/…). So let me take advantage of that positive energy to suggest some things I want to see next year! 1/🧵
CARDANO COMES HOME TO BITCOIN IN GROUNDBREAKING BOS GRAIL BRIDGE INTEGRATION Yes, you read that right! Cardano, the 11th largest blockchain by market cap, is integrating the BitcoinOS Grail Bridge to unleash decentralized programmability and scalability on Bitcoin! #UTXBros✊
CARDANO COMES HOME TO BITCOIN IN GROUNDBREAKING BOS GRAIL BRIDGE INTEGRATION Yes, you read that right! Cardano, the 11th largest blockchain by market cap, is integrating the BitcoinOS Grail Bridge to unleash decentralized programmability and scalability on Bitcoin! #UTXBros✊
Cardano Relays & Solana Validators I mapped out Cardano relays using geolocation data and plotted them onto a customized globe. The animation simulates real-time connections between relays, visually demonstrating how they interact within the network. A total of 2,516 relays…
Addendum — if you take away just one thing from this thread, it should be: Machine learning isn’t some kind of magic that defies the laws of statistics! I believe fundamental concepts from classical statistics will (probably) be “all we need” to understand modern ML!! BUT… 1/3
When Double Descent & Benign Overfitting became a thing, I was a masters student in statistics — and so confused. I couldn't reconcile what l had literally just learned about bias-variance&co with modern ML Here's what I wish someone had told me then: arxiv.org/abs/2409.18842 1/n
Just took a look at the ICLR '25 submissions. 1. 👀 LLMs are still crushing it as the TOP-1 topic this year, with diffusion models in the next position. 2. 🤔 Evaluation & benchmarks might be what we should focus more on in the future, because making something like O1 or…
Doing good science is 90% finding a science buddy to constantly talk to about the project.
When Double Descent & Benign Overfitting became a thing, I was a masters student in statistics — and so confused. I couldn't reconcile what l had literally just learned about bias-variance&co with modern ML Here's what I wish someone had told me then: arxiv.org/abs/2409.18842 1/n
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