Maycells
1.1K posts

Maycells
@maycellss
may the braincells work in trenches? they're starving in search for next green candle


Not a warship, but one of the most dangerous ships at sea


After much reflection, I have decided to resign from my position as Director of the National Counterterrorism Center, effective today. I cannot in good conscience support the ongoing war in Iran. Iran posed no imminent threat to our nation, and it is clear that we started this war due to pressure from Israel and its powerful American lobby. It has been an honor serving under @POTUS and @DNIGabbard and leading the professionals at NCTC. May God bless America.




1/ Big news: @phantom has received first-of-its-kind no action relief from the @CFTC. We can now connect users to regulated derivatives markets and event contracts without registering as an introducing broker. cftc.gov/PressRoom/Pres…


🇬🇧🇺🇦🇮🇷 UK PM Starmer says that even with everything happening around Iran, the UK’s focus still “must remain on Ukraine.” This is a clear NO to Trump...







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Subscribing to the thesis that ZEC might be « the last 1000x » And therefore have been accumulating for the last 4 months Most of crypto OGs and most of the biggest brains and most influential people in the industry are involved with @Zcash in one way or another Rarely seen such a no brainer play Will keep DCA’ing on a monthly basis 10 year HODL





in the last week, i sold a lot of crypto stabled a good amount of money, more money than i have ever seen in my bank account do i think this bull market is over? fk no. i hope we have another year of this, bitcoin reaches $250,000, ETH $10,000 and SOL goes to $1,000 or something crazy the best NFTs continue to become mega veblen goods and the best memes reach billions in market cap digital collectibles > watches any day so why sell now? for me, being disciplined to systems is more of a win than maximizing profits since those rules will allow me to maximize profits i came into crypto to change my life, and slowly throughout the years after ever profitable trade, i would consistently take profit into my real life just as we glorify DCAing at the bottom to buy tokens, we should also celebrate DCAs on the way to the top to improve our real lives being able to make income from other sources and gratefully make money trading allows me to think more aggressively when it comes to taking risks in crypto going for grand slams, betting on intangible narratives that have yet to get confirmation bias, you need to move liquid freely to absorb all that potential volatility and also take the Ls on the chin when they inevitably come a massive thank you to crypto for changing my life yes financially, but more importantly than that teaching me about how i was to live my life, who i am really am, and what i want to do higher, for much longer





Tether AI breakthrough Tether AI team just released new version of QVAC Fabric to include the World’s First Cross-Platform BitNet LoRA Framework to Enable Billion-Parameter AI Training and Inference on Consumer GPUs and Smartphones. Background Microsoft's BitNet uses one bit architecture to dramatically compress models. Traditional LLMs operate on full-precision computation, where weights are stored as complex, high-resolution numbers. The innovation of BitNet is that it shrinks these weights into a tiny ternary range of only -1, 0, and 1. significantly reducing memory usage and computation. LoRA, is a parameter-efficient fine-tuning technique that reduces the number of trainable parameters by up to ninety-nine percent. Together they slash memory and compute requirements. Yet BitNet has mostly been limited to CPU or CUDA NVIDIA backends, and lacked the support of LoRA fine-tuning. Enters QVAC Fabric: the unlock Today, with QVAC Fabric LLM, is the first time BitNet LoRA fine-tuning and inference work cross-platform across GPU vendors and operating systems using Vulkan and Metal backends. That means support for AMD, Intel, Apple Metal and also Mobile GPUs. And for the first time ever, BitNet inference runs efficiently on smartphones using mobile GPUs. On flagship devices, GPU inference is 2 to 11 times faster than CPU while using up to 90% less memory than the full precision models. The biggest unlock: QVAC Fabric LLM support for BitNet LoRA fine-tuning on heterogeneous GPUs. Our team was able to demonstrate this by fine tuning models up to 3.8 billion parameters on all flagships phones such as Pixel 9, S25 and iPhone 16 and up to 13 billion parameter models on the iPhone 16. Github repositories: github.com/tetherto/qvac-… : general QVAC Fabric codebase github.com/tetherto/qvac-… : specific QVAC Fabric's BitNet knowledge base, architecture docs and pre-built binaries What does it mean? What used to require dedicated GPUs now runs on consumer hardware. This breakthrough is the first real-world signal of a local private AI that can truly serve the people. And this is just the beginning. In the next months and years Tether will relentlessly continue to invest significant amounts of resources and capital to continue to research and develop open-source intelligence that can scale and evolve on local devices, providing maximum utility and privacy to its users. The era of Stable Intelligence has just begun. Free as in freedom.



Over 3,700 BTC has been paid out through Stacks' consensus mechanism. No points. No tricks. No caps. Pure BTC. 🟧

Scanned 2 years ago Scan now. It’s the Inevitable




