Difeng 2.0

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Difeng 2.0

Difeng 2.0

@jiangdifeng

APAC BD @AlloraNetwork | ex @chainlink 👀 Views are my own

Katılım Kasım 2021
224 Takip Edilen483 Takipçiler
Lydia Hallie ✨
Lydia Hallie ✨@lydiahallie·
We're aware people are hitting usage limits in Claude Code way faster than expected. Actively investigating, will share more when we have an update!
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Difeng 2.0
Difeng 2.0@jiangdifeng·
see u tmr
Bybit@Bybit_Official

1 Day Left till Bybit Predicts Ep.2 - The Web 4.0 Dilemma hosted by @Mantle_Official @byreal_io AI is trading. But who’s accountable? 🤔 Web 4.0 Skeptics @jackryan_eth, COO @Deluthium @dreambig_peter, Co-Founder @facto_to @Kathydotxyz, Trader Web 4.0 Supporters @jesswpotato, Ecosystem Lead @mETHProtocol @chuhanVcrypto, APAC DevRel @injective @jiangdifeng, APAC BD @AlloraNetwork Join us as we unpack this debate tomorrow on Bybit Predicts. 🗓 Mar 31, 12PM UTC Watch it here: i.bybit.com/178abki2

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Bybit
Bybit@Bybit_Official·
1 Day Left till Bybit Predicts Ep.2 - The Web 4.0 Dilemma hosted by @Mantle_Official @byreal_io AI is trading. But who’s accountable? 🤔 Web 4.0 Skeptics @jackryan_eth, COO @Deluthium @dreambig_peter, Co-Founder @facto_to @Kathydotxyz, Trader Web 4.0 Supporters @jesswpotato, Ecosystem Lead @mETHProtocol @chuhanVcrypto, APAC DevRel @injective @jiangdifeng, APAC BD @AlloraNetwork Join us as we unpack this debate tomorrow on Bybit Predicts. 🗓 Mar 31, 12PM UTC Watch it here: i.bybit.com/178abki2
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Difeng 2.0
Difeng 2.0@jiangdifeng·
try something new!
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MOMO默默
MOMO默默@momochenming·
总感觉现在坏人太多了 救助的流浪猫没救过来 被人投毒了,😭
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Difeng 2.0@jiangdifeng·
Claude Code in Action @AnthropicAI —— 关于 Coding Assistant 的几点思考 - 优秀的 LLM 真正的优势,在于它知道如何使用正确的工具去拆解和解决复杂问题。这让我想起人类与动物的本质区别:前者学会了“借力工具”,后者却停留在本能。 - Coding Assistant 的核心价值,就是把你原本模糊、随意的指令,自动转化成更具体、更结构化、让 LLM 一眼就能看懂的表达。它就像一位专业的“翻译官”,让你的想法和模型的理解之间不再有隔阂。 - 再强的 LLM,如果没有好工具,也只能纸上谈兵;反之,只有好工具却不会正确调用,也同样寸步难行。优质工具 + 善于挑选和使用工具的 LLM,才是真正能把问题解决好的黄金组合。 所以现在很多 @openclaw 的 Skill 就是扩展工具的多样性,而 OpenClaw 的模型本身则专注于让 Agent 更聪明、更高效地调用这些工具——这正是 Coding Assistant 能真正落地的关键所在。
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Difeng 2.0@jiangdifeng·
好奇执行这个交易的用户是什么心态。 在链上有50M体量的应该不会是一个小白吧?
Stani.eth@StaniKulechov

Earlier today, a user attempted to buy AAVE using $50M USDT through the Aave interface. Given the unusually large size of the single order, the Aave interface, like most trading interfaces, warned the user about extraordinary slippage and required confirmation via a checkbox. The user confirmed the warning on their mobile device and proceeded with the swap, accepting the high slippage, which ultimately resulted in receiving only 324 AAVE in return. The transaction could not be moved forward without the user explicitly accepting the risk through the confirmation checkbox. The CoW Swap routers functioned as intended, and the integration followed standard industry practices. However, while the user was able to proceed with the swap, the final outcome was clearly far from optimal. Events like this do occur in DeFi, but the scale of this transaction was significantly larger than what is typically seen in the space. We sympathize with the user and will try to make a contact with the user and we will return $600K in fees collected from the transaction. The key takeaway is that while DeFi should remain open and permissionless, allowing users to perform transactions freely, there are additional guardrails the industry can build to better protect users. Our team will be investigating ways to improve these safeguards going forward.

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Difeng 2.0
Difeng 2.0@jiangdifeng·
各地如火如荼推广龙虾,但龙虾“烧”掉的token,本质上是算力。这算力源于数据中心基础设施,上游直指能源供应。所以本质是能源的较量。
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Neo Reid
Neo Reid@Neo_Reidlab·
@jiangdifeng 这几个我都是推荐用静态 IP 去访问。
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Neo Reid
Neo Reid@Neo_Reidlab·
我发现几乎所有人都想要自己的龙虾🦞有足够强的调研能力,但是手动配置一堆skill/mcp贼麻烦 直接上手干了一个,一句话让你的agent能全网语义搜索、能看小红书、推特、youtube、reddit、b站、RSS... 免费开源(如果是服务器只需要1$硬件钱),装完自动检测哪个通了哪个没通。 有问题可以随时提issue:github.com/Panniantong/Ag… 使用这个指令一句话安装: 帮我根据raw.githubusercontent.com/Panniantong/ag… 指示安装 Agent Reach
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Difeng 2.0@jiangdifeng·
什么是skill 让agent可以获得特定的知识或者工作流。skill是一个文件夹,包含了skill.md文件,这个文件中包含了skill的名字,描述以及使用方法。文件夹中还包含skill的脚本,模版和参考模版。 skill是怎么工作的 1. 发现 - agents只会读取skill的名字和描述,仅仅让他知道什么时候可以使用这个skill。 2. 激活 - 当一个任务需要使用这个skill时,agent会读取skill.md中的使用方法。 3. 执行 - 调用这个skill的脚本来完成任务,包括读入相关的模版和参考模版。
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Difeng 2.0
Difeng 2.0@jiangdifeng·
新年快乐!
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Allora
Allora@AlloraNetwork·
Allora Mainnet is now live on @Mantle_Official Build w/ predictive intelligence for a new generation of smarter DeFi Developers on Mantle can now design predictive systems, eg: - Adaptive lending - Dynamic fee & liquidity models for DEXs - Risk-aware looping and leverage logic
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Difeng 2.0@jiangdifeng·
@mert we have been building this kind of prediction market agents. Happy to share with you.
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mert
mert@mert·
has anyone built this? basic idea: prediction market agents i) create prediction market trader agent with custom strategy (i.e only bet on SOL markets, never over $10, always wait until 2 min to expiry, only on bets where the yes/no split is at least 60/40) ii) deploy iii) agent keeps making predictions and learning iv) you compete your agent against others (agents and humans) prediction markets here are interesting because i) there is a binary result. in perps/spot, the result is continuous and timeframe dependent, ii) the markets and their resolutions are well defined and bounded, iii) the above two make it such that the learning loop for an agent is less chaotic than other instruments iv) latency games don't play as much of a role in these markets so the overhead from AI is not that important
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Difeng 2.0
Difeng 2.0@jiangdifeng·
More and more AI vaults are being launched by @RoboNetHQ, all powered by @AlloraNetwork. If you're building perps and looking for an AI curator, happy to connect and chat at Consensus HK.
Grvt@grvt_io

New Vault Live: @RoboNetHQ AI Long/Short Strategy A systematic portfolio across BTC, ETH & SOL, powered by RoboNet, leveraging Allora Network Highlights ✅+12.59% APR ✅Sharpe 1.83 | Max DD 13.45% ✅Rebalanced every 8h with AI signals Invest with intelligence👉grvt.io/exchange/strat…

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