Channels
TL;DR for anyone who doesn’t click: Swiss tokenization platform ColbFinance has launched on BNB Chain with $60M+ in tokenized pre-IPO assets, giving users onchain exposure to private companies like SpaceX through tokenized certificates. The article argues BNB Chain was a natural fit because of its low fees, deep liquidity, and large user base, making it easier to bring traditionally exclusive assets onchain. The bigger picture is that RWAs and tokenized equities are starting to move beyond stablecoins and treasuries, and BNB Chain is becoming one of the places where that expansion is happening. submitted by /u/FTXACCOUNTANT [link] [Kommentare]
> Except from article. Federal prosecutors said Burton participated in the operation between June 2020 and January 2022 and received at least $7.8 million from the scheme. Court documents state that Burton controlled several companies that purported to offer consulting services while helping market HyperFund to investors. Prosecutors alleged he used investor funds for personal enrichment during his involvement with the platform. Federal authorities have scheduled Burton’s sentencing for July 23. He faces a maximum prison term of five years for conspiracy to operate an unlicensed money-transmitting business. submitted by /u/zesushv [link] [Kommentare]
I found a new coin recently that I aped in and it really got me thinking about a lot. When BTC first came on the scene with PoW concept, crypto bros were eager to mine it. Not necessarily because of the value potential, but because it was an interesting tech and wanted to learn…a fun hobby. Over the years as BTC grew, other models came out that were PoS etc to shift away from the labor involved, but in my opinion those have been deterrents from widespread participation and community. Mining is real work/labor and therefore there is a spiritual commitment as well as financial investment. Other proofs like PoS remove the emotional connection from you and the coin and now you only see dollars and cents. Anyway, I’ve been wanting to create a token that embraces both and restores some faith to real communities while at the same time allows for users to easily generate rewards. I found one I think is super interesting project but curious if you guys know of any coins that have a multifaceted rewards system that will actually generate long term community. Not gonna share the coin in because I don’t want you all to think I’m shilling. Genuinely trying to have a conversation about what the next potential BTC could be submitted by /u/MC_SKWAIRD [link] [Kommentare]
I'm currently a software engineer (mostly mobile/iOS development) and have recently started learning machine learning because I genuinely find it interesting, especially the math behind it. I have a fairly strong math background and am comfortable with calculus, probability, and math in general. Right now I'm learning through a combination of Andrew Ng's ML course and Stanford CS229. My plan is to build some projects once I have a stronger foundation. What attracts me to ML is the mathematics behind it. My goal isn't just to use existing libraries to train models and tune hyperparameters; I want to understand the underlying theory, algorithms, and reasoning that make these models work. I'm interested in going deeper into the field rather than treating ML as a black box. That said, I keep seeing ML roles that prefer or require a Master's or PhD, so I'm trying to understand how realistic this path is. For people who have successfully made the switch: Did you have a Master's/PhD, or were you self-taught? How difficult was it to get interviews without an advanced degree? What types of projects helped you stand out? Did you transition into ML engineering first, or directly into more model-focused work? What level of math and statistics do you actually use on the job? If you were starting again today as a software engineer with a strong math background, what path would you follow? I'm looking for honest experiences, including failures and challenges, not just success stories. submitted by /u/Schmosby123 [link] [Kommentare]