

excellent thread. Just Use Aave.
HΞavy NodΞs
4.9K posts



excellent thread. Just Use Aave.


$VVV is now in the top 100 on @CoinMarketCap ! Congratulations Venice AI


Preferreds ranked based on risk/return profile: 1. $STRK – Best asymmetric profile. You get preferred-level downside protection but still retain meaningful upside if $MSTR continues compounding BTC. It behaves like a hybrid between equity and preferred. 2. $STRC – The stability king. ~11.5% yield, very low volatility, and ROC dividends that are tax-deferred for years. Ideal collateral and a strong income base. 3. $STRF – Solid yield but less flexibility. Good income but fewer structural advantages compared to STRK/STRC. 4. $STRD – Higher yield, but you’re taking on materially more risk in the capital stack to get it. 5. $SATA – Most risk with the least attractive risk-adjusted payoff in the group. How would you rank them?


This is wild. Google Research demonstrates a ~20x more efficient implementation of Shor's algorithm that could break ECDSA keys within minutes with ~500K physical qubits. Google is now are more confident on a 2029 post-quantum transition. We are no longer looking at mid 2030s, we could have quantum computers of this scale by the end of the decade. They believe this result is so severe that they are not publishing the actual circuits. They instead published a ZKP proving that they know of the quantum circuit with these properties. This is very atypical, showing Google thinks this is serious shit. All blockchains need a transition plan ASAP. Post-quantum is no longer a drill.



NEW POD: The Fed Is Trapped As Oil Drives Inflation Higher We Cover: 🔸 Fed’s policy trap 🔸 Growth downside 🔸 New banking regime 🔸 What breaks first & more! @josephwang @qthomp @fejau_inc TIMESTAMPS: 00:00 Intro 03:28 Middle East Drives Macro 06:21 Risk Assets Face A Lid 09:15 Will The Fed Look Through? 12:02 Why Liquidity Stays Tight 15:14 Dollar Up Gold Down 19:16 The Great Rebalancing 22:28 Ads (Blockworks IR, Arkham) 27:18 Where Liquidity Could Come From 31:04 Can They Steer It Back? 35:20 What Signals Actually Matter

[ ZOOMER ] FANNIE MAE TO ACCEPT CRYPTO-BACKED MORTGAGES FOR THE FIRST TIME: WSJ


This is Wild. Deutsche Bank has developed an index that helps to predict the next TACO by Trump. It has proven effective in previous big Trump pivots. The "Pressure index" combines one-month change in approval ratings, one-year inflation expectations and performance of the S&P 500 & t-bill yields. The higher it goes, the greater the chances of 🌮


RAOUL PAL SAID THIS CYCLE MIRRORS 2017 AND COULD PEAK BY JUNE 2026. AI, ETFS, AND LIQUIDITY MAY DRIVE CRYPTO FROM $3 TRILLION TO $100 TRILLION 🚀


INSIGHT: Bittensor subnets are pumping alongside $TAO with the category gaining 18.6% today. Track #dTAO subnets here: coingecko.com/en/categories/…


OpenClaw Agents are exploding → and I’m starting to see real demand forming for $TAO | @opentensor 👇👇 This weekend, I spent time researching OpenClaw and Bittensor, and I think it’s time to update the thesis more clearly. This time, I’ll summarize why OpenClaw can create real demand for $TAO. [1] OpenClaw is introducing a new class of “AI agents” acting like real users Instead of users clicking, prompting, and leaving, OpenClaw enables autonomous agents that: – run continuously 24/7 – make their own decisions – call APIs / tools – interact onchain This turns AI from a “tool” into an “economic actor”. [2] These agents directly consume resources from Bittensor When I dig deeper into how these agents operate, everything points back to $TAO infrastructure: – inference is handled by specialized subnets – compute comes from decentralized GPU networks – training and fine-tuning run on subnets like Templar – data and search come from dedicated subnets Every step in the agent lifecycle requires resources from Bittensor. [3] This creates mandatory demand for $TAO Unlike many other narratives, there is no “optional usage” here. If you want agents to function: – you need $TAO to pay for inference / compute – you need to stake $TAO to access better resources – you need $TAO for interactions between agents → Without $TAO, agents cannot operate efficiently [4] Volume comes from machine-to-machine, not retail Previously, most demand in crypto depended on: – number of users – human trading behavior With agents: – they operate continuously with no downtime – they generate transactions autonomously – they can scale with the number of agents This opens up an entirely new source of volume. [5] This could be the early stage of an onchain “AI economy” As the number of agents increases: – demand for compute will increase – demand for data will increase – demand for agent-to-agent payments will increase Everything converges on one thing: consuming network resources. If this trend continues, Bittensor could become the infrastructure layer for this AI economy. This is why I continue to watch and accumulate $TAO. If agents truly scale in the coming period, demand for $TAO will come from real usage, not just narrative. And the $1000 or even $3000 story may not be that far away. Ofc, these are personal views based on my research, NFA.


$ZEC has reached a hashrate all time high. Growing conviction in a network built for financial privacy. Foundry's Zcash pool is launching soon and we're proud to be joining the ecosystem.


Actually, there is another way, and it's called $CYPH. At Cypherpunk, our objective is to not only accumulate ZEC but to advance its ecosystem. $CYPH currently gives you exposure to both $ZEC and @zodl_app (the most important Zcash app). We are not content with being passive holders. We are here to will the future we want to see into existence.





testing out various bankr agent commands. here i told it to deposit LP to aerodrome and set an automation to check and rebalance that position every hour. your agents can do this via the bankr cli, or api. humans can do this through the terminal or right here on x.


Every Bittensor subnet is in the green. When did we last time have a narrative this strong where everything was green and up massively? AI stuff January 2025?





