BlackRock just had the biggest month among onchain asset managers.
Three of the biggest 30-day flows on @RWA_xyz:
→ @BlackRock: +$302M
→ @circle: -$111M
→ @maplefinance: -$213M
At first glance, Circle and Maple look pretty bad here.
But their underlying products were still earning yield during the month.
Circle’s outflow came from USYC redemptions, while Maple’s came mostly from lenders withdrawing from syrupUSDC.
There’s no evidence of a maturity, exploit, or product failure behind either move. Investors simply reduced their positions or moved capital elsewhere.
Zoom out, and you'll see it's

There is no precious metal that keeps rising
If there is, kill me #XAU

Tokenized U.S. stocks can be used to borrow money now
Who came up with this operation
@TermMaxFi added the Robinhood chain today
Q SPY NVDA can all be used as collateral
Borrow USDG at a fixed interest rate
Or deposit it the other way around to earn yield
The limited-time boosts are pretty substantial
Depositing into the vault gets you 120x
Borrowing gets you 10x
Playing options adds another 20x
Feels like things you could previously only do on exchanges
Can now be done on-chain too
By the way, their daily card draw is still ongoing
More than 100 have already made it

7-day trial; the task is gone after just a few messages.
Overall advantages:
Comes with its own computer, making it ideal for running programs.
Fast computer browser performance.
Fast AI response and coding speed.
Disadvantages:
Cannot set up or use a VPN.
Cannot reinstall the system.

JUST IN: CoreWeave warns that moving away from Nvidia AI chips could take time and capital, potentially impacting product delivery. If demand shifts, supply dynamics for GPU-heavy workloads may tighten. $ETH ? (no ticker explicit; include if relevant)

🔥Hundreds of Thousands of GPUs Sitting Idle at Once! xAI Exposes the AI Industry’s Computing Bottleneck
According to an internal memo leaked to overseas media, xAI has approximately 500,000 NVIDIA GPUs, making it one of the world’s largest privately operated computing clusters. However, its model FLOPs utilization (MFU) is only 11%, which has been described internally as “absurdly low.”
For comparison, mature tech giants generally achieve training MFU rates above 40%, while Meta and Google can reach 43–46%. An 11% MFU means that most of these expensive GPUs spend significant amounts of time s

$TOAD has bottomed
Higher 🐸

The Delusional $bull
DducZJ295xLz1MtP3rahxosArfzUedrsV53KoXQNpump
#crypto #altcoins $sol

$MRNA
It has repeatedly failed to break above the red diagonal resistance. Can it succeed this time?

JUST IN: Longdian Huaxin lists on NYSE, up 11% first day (FOIL). IPO raised $94.3M, marking a notable Chinese IPO move in tech metals. Could signal renewed risk appetite for industrials linked to EV/5G supply chains. $FOIL

bitcoin:native
Long

Thank life each morning upon waking,
we have another day to grind on X
Wishing everyone a new day filled with energy!!!

Robinhood Chain one month launch numbers are absolutely insane.
Wow.

"This is the true form of the power of participation."
Thorium does not ask for permission. It builds.
Mine Thor. Rise with the power. 💪⛏️ #ToriumNetwork #TOR #Web3 #Mining

i dont know it will work or not, but solana:2aQKC1xiKpEyAWvzSDrULnYLVuybWyx7qrsnpP8hpump chart looks for reversal right now ( Morning Star candle formation )
2aQKC1xiKpEyAWvzSDrULnYLVuybWyx7qrsnpP8hpump
The Leaf Stays On 🍊🍃

JUST IN: Trump’s Truth API data service faces resistance from major trading firms like Hudson River Trading and Citadel Securities, with some opting not to pay for faster access to market-moving info. If deployment widens, it could raise regulatory scrutiny around access to in...

JUST IN: Google restructured leadership at DeepMind, moving some teams to the enterprise division as Gemini becomes the core focus. If internal tests keep Gemini behind rivals on programming, execution risk could rise for AI strategy. $GOOGL $BTC ?

$GLXY
Green volume bubbles appeared at the most critical level!