red.

for anybody who doesn’t remember or wasn’t here for 3AC, it wasn’t the retail wipeout that was (as) devastating, it was the counter party that blew up. peak collapse, 3AC couldn't meet a $5M margin call on a $1B loan, and here we talking about +20B deleted from the market LUNA -> 3AC -> Celsius -> Voyager -> market unwind. fast fwd to today’s event: id be extremely surprised if a counter didn’t party didn’t get carried out and and once we learn who we will see who is swimming naked down stream.

worse case: money wont matter anymore best case: bottom

We've seen a lot of other protocols attempt to mimic $ORE's mining dynamic but none of them have the path dependent hardened history / holder base that allows $ORE to remain credible and durable long term. Continue to be very bullish that the opportunity here is much bigger than the market is pricing in.

@based16z almost as if there were signs

Spy -0.3%

bruh this nigga lmao

@hellojintao was $crcl 60% ago 2008 nobody understood how useful GPU's would become 2 decades later same for stablecoins in 2025

any tickets?

shoutout to shailene woodley and her revival

"Ryan Coogler is when Athletes become creators but keep thinking like Athletes"

@crypto_iso same playbook as 2022 @Trader_XO good times

If this is the same exact as last time it doesn't rhyme it repeats.

@BeaverTime69 since the iran conflict, post quality on this app took a nose dive ong

Just nuke the whole world at this point, I'm tired of reading dogshit takes from people who should have never been granted internet access

@DanPillitteri @aleabitoreddit lol

@aleabitoreddit Before I look at any of your tickets - how much of your returns are due to you posting a ticker to your subscribers, resulting in buying momentum that drives up the price near term?

$CRCL is now up 148.15% in 1 month. If people are wondering why my YTD is ~500%? It’s because I look at fundamentals, not scribbles on a chart. The comment section back here aged like 2021 monkey JPEG prices.

keep-tab-on-vix-and-chill kind of day

@Terence_da_AMOG idk id def pull up for the one time, esp with march madness starting with a side bet on if iran leader is gay or not lol x.com/Polymarket/sta…

@Quanterty ill wait to buy equity, not the token

Pengu spent all of last summer rallying to new highs just to revisit the lows again... Now the goat is saying to long

@EthosVentures @sterlingcrispin @paoloardoino shh let them *laughs in usdc*

@sterlingcrispin @paoloardoino local AI agents that can run on a phone will probably want to pay for a lot of stuff, especially when they are fine tuned to prefer USDT

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.

@0xbigmikey whats cobie doing in the top left?

top

@Mc18601 @DhananiZain same, looks like they are throwing away all the McDaniels pcs

@DhananiZain Do you think miami moves achane? I cant imagine they hold onto him with this tear down

Achane impact with Waddle news: *Waiting to see where his stock falls *Will buy if it falls to rd 3 - that bakes in potential downside with a Jeanty-like floor *Situation is so ambiguous - we correctly think they will be bad, but we truly don't know *Miami Pick 11 = WR

@RyanDetrick x.com/TheRedNorthFac…

The odds of a rate hike over the next three months is now higher than the odds of a cut. A month ago, no one would have believed this.

(he’s 9 months old)

my son has Sienna upsetting Duke