Danny小学僧

8

直播间惊喜连连哦 2026 Success is imminent! May you grasp the trends and make precise layouts. May your account continue to be prosperous, and your assets steadily appreciate. In the new year, there will be not only speed but also depth!🧧🔥🛫🌹🌹
#CZ币安广场AMA #非农意外强劲 $BTC
Surprises keep coming in the live broadcast room, and the red envelopes🧧🔥 continue!
$ETH

On the fifth day of continuous promotion, it is still a day of live streaming $WLFI and $USD1 ! Let us continue to work hard for the USD1 ecosystem 💪#WLFiToken #USD1 @加一打赏小助 @Jiayi Li

Vitalik stated that simply understanding AI as a competition framework of 'whoever achieves it first occupies the top' is itself a misconception. He believes that whether it's Ethereum or how humanity should develop AGI, the essence lies in choosing the right direction, rather than blindly accelerating technological evolution. The core objectives include: avoiding the marginalization of humans by AI or being permanently deprived of power by inescapable power structures, as well as preventing systemic risks arising from AI losing control or imbalances in attack and defense.

In terms of more short- to medium-term practical paths, Vitalik proposed four key directions:

First, to build more 'trustless / privacy-friendly' AI interaction tools.
This includes local LLM tools, ZK API payments that support anonymity, cryptographic solutions that enhance AI privacy, and client-side verification of server-side guarantees like TEE proofs and cryptographic proofs. He pointed out that this essentially expands the Ethereum privacy roadmap into the LLM computing scenario.

Second, Ethereum as the AI economic interaction layer.
This covers AI API calls, employment relationships between Bots, margin mechanisms, on-chain dispute resolution, and AI reputation systems like ERC-8004. The goal is to enable AI to have economic interaction capabilities, thus supporting a more decentralized AI architecture, rather than a closed system coordinated by a single organization.
Third, to make a 'cyberpunk-style self-verifying world' a reality.
By leveraging LLM to address the real bottleneck of humans being unable to verify code line by line, it achieves trustless interactions, including: using Ethereum applications without third-party UIs, generating and verifying transactions with local models, local auditing of smart contracts, understanding formal verification (FV) proofs, and validating the trust models of applications and protocols.
Fourth, to reshape market and governance mechanisms.
Vitalik pointed out that prediction markets, decentralized governance, secondary voting, and combinatorial auctions are theoretically very attractive but are long-term constrained by human attention and decision-making capabilities. LLM can scale human judgment, making these mechanisms realistically feasible. #何时抄底？ #BTC何时反弹？

Sharing for the fourth consecutive day, today at 3 PM we will be live streaming the USD1 and WLFI project financial event. Mark your calendars for the live broadcast, with great products, benefits, and valuable insights all in place. Looking forward to meeting you, let's not miss each other! 🔥🔥🛫🌹🌹🧧🧧🥀🌹🌹$WLFI $USD1 #何时抄底？ #USD1 @Jiayi Li @加一打赏小助