GateUser-a902808b

Received a new toy, but I don't know how to use it yet.
Anyone experienced who can give me some guidance?

BTC.D rises to 58.5%, as the risk-averse trend squeezes out altcoins
The market is entering a "structural risk aversion" phase. The key point is that BTC.D has reversed course and risen to 58.5%, with a 7-day increase of 0.4%. While BTC price has fallen by 5.2%, its market share has increased, indicating that funds are rapidly fleeing altcoins and flowing back into BTC for safety. Aave has cut its buyback budget by 40% and experienced a 25% decline in revenue, directly confirming the deterioration of non-BTC assets' fundamentals and a liquidity retreat. The current capital structure exhibits

BTC.D rises to 58.5%, the risk aversion wave squeezes out altcoins
In the cold winter of liquidity, who is still paying for altcoins?

Using Lobster for fitness tracking is super useful.
Data is stored locally, so you can continuously track and analyze it.
Recording is simple enough too—just use Feishu's built-in voice recognition, and you're done in a few seconds between sets.

Crypto3D Data Hub is launching DeFi Governance Monitoring, automatically tracking governance proposals and using AI to interpret TEV impact.
Buyback adjustments, fee allocation, burn mechanism changes — see at a glance which governance truly affects your holdings.

Sky's new proposal plans to reduce buybacks by 87.5% for 3 months. The saved funds will primarily go into the Surplus Buffer (protocol safety buffer).
The reasons are roughly two-fold:
1. USDS issuance volume is increasing, but the safety buffer funds are insufficient, with official disclosure showing only around 50m, less than 1% of issuance volume;
2. As the founder stated, macro defense—concerned that geopolitical conflicts could cause collateral volatility and result in bad debts.
The proposal is relatively neutral, neither bullish nor bearish.

End the road trip and return to the embrace of AI and crypto.

Sharing the current personnel setup at our company, all on the same Mac mini named Lobster.
To prevent multiple agents from parallel API rate limiting, they also use different models. Simple tasks use GLM, more complex ones use Opus. Engineers can also additionally call the local Codex.