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ASTRATUM
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ASTRATUM
@Astratum_
Connecting the past and present to future and potential. Digital Transformation. Digital Assets. Distributed Systems.
Katılım Mayıs 2016
278 Takip Edilen444 Takipçiler
Keep the faith, keep building stuff. Believe in something.
Crypto Tony@CryptoTony__
6 months ago, Raoul Pal said we are in an elongated business/debt cycle and that bitcoin would climb higher and then we would see a -35% drawdown and “everyone will be sure that it is over… and it won’t be over.” You need to watch this again. And again. And again. And again.
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Adoption?
Crypto keeps moving forward with American Express powering the Coinbase Card:
Brian Armstrong@brian_armstrong
This is what the new Coinbase One Card looks like. Very cool - each one is metal and engraved with the genesis block. It's also the first crypto credit card powered by American Express. With cashback paid in bitcoin, of course.
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ASTRATUM retweetledi
The foundation of our global economy is shifting.
We’re watching trust in institutions decline, while inflation and debt continue to rise.
In my new @FT op-ed, I share why I believe Ethereum offers a fundamentally different way to architect a global financial system for the modern digital era.
🧵
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Indeed a good question:
Arkham@arkham
BREAKING: FTX TO DISTRIBUTE $5B TO CREDITORS ON MAY 30TH What do you think happens next?
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ASTRATUM retweetledi
Who works at the crossroad betwen ai and crypto knows about MCPs.
Thanks to @punkpeye for creating and sharing such a great list of available MPRs:
Frank Fiegel@punkpeye
Just merged 100 PRs to github.com/punkpeye/aweso… This has to be some sort of a record.
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So, what's the difference between AI agents and agentic workflows?
👇🏻
Victoria Slocum@victorialslocum
What's the difference between *just* AI and truly 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀? (And why does it even matter?) There's a lot of debate on what makes something an "agent" versus just another AI application. The key difference? 𝗦𝘁𝗮𝘁𝗶𝗰 𝗔𝗜 𝗺𝗼𝗱𝗲𝗹𝘀 𝘃𝘀. 𝗗𝘆𝗻𝗮𝗺𝗶𝗰 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 In a non-agentic workflow, you might prompt an LLM to summarize text, and it simply returns the summary. But in an agentic workflow, the agent actively: 1️⃣ 𝗠𝗮𝗸𝗲𝘀 𝗮 𝗽𝗹𝗮𝗻 - Breaking down complex tasks into smaller subtasks through task decomposition 2️⃣ 𝗘𝘅𝗲𝗰𝘂𝘁𝗲𝘀 𝗮𝗰𝘁𝗶𝗼𝗻𝘀 𝘄𝗶𝘁𝗵 𝘁𝗼𝗼𝗹𝘀 - Using predefined tools paired with permissions to accomplish tasks 3️⃣ 𝗥𝗲𝗳𝗹𝗲𝗰𝘁𝘀 𝗮𝗻𝗱 𝗮𝗱𝗮𝗽𝘁𝘀 - Assessing results, adjusting the plan if needed, and looping back until the correct outcome is reached 𝘛𝘩𝘪𝘴 𝘪𝘴 𝘸𝘩𝘺 𝘢𝘨𝘦𝘯𝘵𝘪𝘤 𝘸𝘰𝘳𝘬𝘧𝘭𝘰𝘸𝘴 𝘢𝘳𝘦 𝘸𝘢𝘺 𝘣𝘦𝘵𝘵𝘦𝘳 𝘧𝘰𝘳 𝘤𝘰𝘮𝘱𝘭𝘦𝘹 𝘵𝘢𝘴𝘬𝘴 𝘸𝘩𝘦𝘳𝘦 𝘤𝘰𝘯𝘥𝘪𝘵𝘪𝘰𝘯𝘴 𝘮𝘪𝘨𝘩𝘵 𝘤𝘩𝘢𝘯𝘨𝘦 𝘰𝘳 𝘮𝘶𝘭𝘵𝘪𝘱𝘭𝘦 𝘴𝘵𝘦𝘱𝘴 𝘰𝘧 𝘳𝘦𝘢𝘴𝘰𝘯𝘪𝘯𝘨 𝘢𝘳𝘦 𝘳𝘦𝘲𝘶𝘪𝘳𝘦𝘥. 𝗧𝗵𝗲 𝗖𝗼𝗿𝗲 𝗖𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁𝘀 🧠 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴: This is what allows agents to "think" throughout the problem-solving process. 🛠️ 𝗧𝗼𝗼𝗹𝘀: Tools allows agents to access external sources, perform actions, and retrieve real-time information. 💾 𝗠𝗲𝗺𝗼𝗿𝘆:Agents have the ability to learn from experiences and remember context, using both short-term and long-term memory. 𝗧𝗵𝗿𝗲𝗲 𝗞𝗲𝘆 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 𝗶𝗻 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 𝟭. 𝗣𝗹𝗮𝗻𝗻𝗶𝗻𝗴 𝗣𝗮𝘁𝘁𝗲𝗿𝗻 The planning pattern allows agents to autonomously break down complex tasks into smaller, simpler steps . This reduces the cognitive load on the LLM, improves reasoning, and minimizes hallucinations . 𝟮. 𝗧𝗼𝗼𝗹 𝗨𝘀𝗲 𝗣𝗮𝘁𝘁𝗲𝗿𝗻 Tool use expands an agent's capabilities by allowing it to interact with external resources, applications, and computational tools. This pattern is what allows agents to overcome the limitations of static knowledge and interact with the real world in meaningful ways. 𝟯. 𝗥𝗲𝗳𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗣𝗮𝘁𝘁𝗲𝗿𝗻: Reflection is a self-feedback mechanism where an agent evaluates the quality of its outputs or decisions before finalizing a response Read more in this blog: weaviate.io/blog/what-are-…
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Interesting details to Bybit's hack:
Arkham@arkham
BREAKING: BYBIT $1 BILLION HACK BOUNTY SOLVED BY ZACHXBT At 19:09 UTC today, @zachxbt submitted definitive proof that this attack on Bybit was performed by the LAZARUS GROUP. His submission included a detailed analysis of test transactions and connected wallets used ahead of the exploit, as well as multiple forensics graphs and timing analyses. The submission has been shared with the Bybit team in support of their investigation. We wish them all the best.
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DefAI is the intersection of AI agents and crypto. Here, what Franklin Templeton has to say about it:
Franklin Templeton Digital Assets@FTDA_US
Intersection of AI Agents & the Crypto Ecosystem
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This 👇🏻👀
TKResearch Trading@TKR_Trading
🚀 #DeFAI (DeFi + AI) is emerging as a standout trend, offering more than just trading opportunities! It brings practical utilities that can meet diverse user needs. Let’s dive into some notable DeFAI projects and how they can benefit you: @griffaindotcom @HeyAnonai @askthehive_ai @neur_sh @orbitcryptoai @HieroTerminal @Gekko_Agent Which project stands out to you so far? 🔍 #Trending #Crypto
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Very transformative forces around AI x Crypto convergence, seen by a16z:
a16z crypto@a16zcrypto
5 pieces on AI x crypto: What, where, how Beginning with why that convergence matters, and ending with some big ideas for the near future. ⤵️
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This is a gift presented to you by @MessariCrypto
We love it.
Messari@MessariCrypto
We are so back! The Messari Theses for 2025 is live and available for free. Jump into the full report now ⬇️
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To watch:
Mark@markus9x
.@Ai16zdao x @Stanford's future of digital currency initiative "The collaboration, set to begin in Q1 2025, brings together Stanford's expertise in digital currency research with Eliza Labs' cutting-edge capabilities in autonomous agent development." the definition of smart money decrypt.co/296770/eliza-l…
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Here we go with Crypto predictions, now from #VanEck. Zeros come and go, but the overarching sentiment for 2025 is bull*ish:
VanEck@vaneck_us
VanEck 🤝10 Crypto Predictions for 2025 Prediction #1: Crypto bull market hits a medium-term peak in Q1, sets new highs in Q4. We project Bitcoin to be valued at around $180,000, Ethereum to trade above $6,000, Solana to exceed $500, and Sui to surpass $10.
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To understand, where crypto x ai may go, you need also to follow what's going on on the ai and LLM side.
Here some recent concepts, implemented with #anthropic
Alex Reibman 🖇️@AlexReibman
Model Context Protocol (MCP) is a new open standard for connecting LLMs to tools, data, and dev environments Anthropic invited 100+ developers to SF to see what we could build in only 3 hours. Here’s what we saw at the @AnthropicAI MCP Hackathon (🧵):
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