BREYKING $NOOZ: @TeTheGamer burns his entire supply of $GAMER 🔥🔥 Thats 70% of the token worth over $7 mil at the time. What a statement 🔥🔥
#cryptonews#memecoin#trending
Why $pippin($135M mcap) will flip $ai16z($1B mcap)?
TLDR
1. Pippin’s creator, Yohei(@yoheinakajima), has a proven track record with BabyAGI(@babyAGI_ ), is highly respected in Web2, and is a guy who’s always ahead of trends(or to be bold, someone who creates trends🤔just go compare the timestamps of his GitHub work with Google search trends).
2. Pippin’s AI framework is designed for “self-building” agents, far beyond simple platform bots. While self-building isn’t fully functional yet due to challenges like third-party integration or memory issue, the framework lays the groundwork to make it possible in the near future.
3. Unlike most AI coins, Pippin will have utility. While Yohei has only shared brief hints so far, it’s clear that utility will be one of the focus as the project evolves.
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So who is Pippin? Pippin(@pippinlovesyou) is an AI influencer and digital being, brought to life through AI-generated SVGs, named by ChatGPT, and nurtured by its visionary creator, Yohei. For more on Pippin’s origins, do explore Pippin's genesis story here (https://t.co/MIYKSMZisG) In this thread, I’ll mainly focus on the recently open-sourced Pippin AI agent framework and potential $pippin utility.
1. Pippin Framework
Before diving into the Pippin framework, I’d like to first explain what a "self-building" agent is. Since the development of BabyAGI, Yohei has been iterating on several of its core features, including dynamic skills, self-reflection, and graph-based memory. His recent focus has been on creating “self-building” agents.
Yohei has shared his thinking on self-building agents, breaking them down into four levels:
- Level 0: No Self-Build. Predefined Skills
At this level, the agent operates with a predefined function library(e.g. skills) created by the developer. When triggered, the agent simply executes an action or produces an answer based on the functions available.
- Level 1: Request-Based Skill Generation
The agent can build its own skills when triggered. In the future, it will be able to use the functions it has built for itself.
- Level 2: Need-Based Skill Creation
When asked to perform a task, the agent evaluates whether it has the required skills. If not, it writes code to build the necessary function and executes it.
- Level 3: Anticipatory Skill Development
At this level, the agent anticipates the skills it will need based on its character or objectives. It proactively writes code, builds the functions, and executes them to fulfill its goals.
Currently, the Pippin framework enables new activity generation, but the self-building of skills is not yet functional. To understand this, consider an example: If you want an agent to be healthy, it needs to “eat” green vegetables instead of instant noodles. The first step is for the agent to understand how to “eat,” so it can choose what to eat based on the goal of being healthy. In this context, “eating” is a skill, and actions like “eating green vegetables” or “eating instant noodles” are activities the agent can generate, choose, and execute on its own.
For a virtual AI agent, skills might include posting on Twitter, speaking on Zoom, collaborating in Google Docs, etc. Based on these skills, the agent can begin running activities aligned with the objectives it’s given—such as generating content to promote the Pippin token(objective) through tweets(skill) or live streaming(skill) with LLM-generated content(activity).
The challenges of building self-building skills are clear—how do you establish vendor integration, build memory, and so on without human intervention? The Pippin framework is designed with these challenges in mind, with the goal of simplifying self-building and making it a reality in the near future.
Given the current framework, a key question arises: What skills does Pippin have if self-building is not yet an option? The Pippin framework integrates with Composio(@composio), offering 200+ skills and capabilities for AI agents to leverage. These range from social media tasks and collaboration tools to even e-commerce (e.g., Pippin buying me a pizza after I got rugged…). With this, your Pippin will be able to achieve its goals by tapping into a wide range of platforms and skills—isn't it exciting!
For more technical details, feel free to check out the GitHub page(https://t.co/qs1GJTy2Lc). I've also included a screenshot of the framework below for your reference.
2. Pippin Utility
While Pippin’s utility is still evolving, we can get a glimpse of its potential from Yohei’s demo together with the Pippin framework. Users will be able to stake Pippin to become active developers and participate in:
- Quests and competitions
- Submitting solutions to challenges
- Voting on other developers’ submissions
Subsequently, there will be three types of quests:
1. Challenge: Be the first to complete a challenge
2. Competition: Be the one to submit the best solution
3. Request: Work as an assigned developer for a specific task
In my opinion, this system is designed to attract and centralize top talent around projects and problem-solving, rather than acting as a traditional launchpad where developers are scattered and competing with each other. This approach is reminiscent of Kaggle, the Web2 machine learning platform that successfully draws the best talent to solve complex problems through collaborative challenges. I’ve shared a screenshot of the quest page below, and for more information, you can watch the Pippin demo video(https://t.co/LY643cAdhC).
It’s just the beginning. Check out the GitHub star history below comparing BabyAGI, Pippin, and ElizaOS(AI16Z)—are you sure you don’t want to jump on the train now? It’s about to take off! 🚀🚀
here we go…
open sourcing the $pippin framework!
for launching digital beings like @pippinlovesyou
- character config
- reusable and dynamic skills via @composio
- activities w/ cool down, etc
- memory mgmt
here’s a ~4 min super cut of the live demo
github & more 👇
You asked for it
So here it is
$10 to $100,000 challenge starts TODAY
Next $TRUMP, next #MELANIA – we're catching them ALL
if you’re in, like, rt, and drop a comment
Invites dropping to followers only
Stupid simple thesis on #47TH@realDonaldTrump hasn’t changed his bio since 2016, he will update to 47th in couple days now
Every big account starting with @elonmusk are most likely to tweet about 47th POTUS
Also, $47th is the first token detected on $TRUMP deployer’s wallet @solscanofficial
DYOR
Thank me later
Feeling the need to drop some thoughts on $ARC
The way @0thTachi and the @arcdotfun squad re moving rn now is different. These guys aren’t just building tech, they’re playing 4D chess with the partnerships and execution.
Whether you’re holding $VIRTUAL or $AI16Z , now might be a good idea to rotate smt into $ARC
In just the past few days, they’ve locked in SEVEN legit collabs, including heavyweights like @MongoDB, @arbitrum, and @AbstractChain. And let’s be real – landing Mongo is no small feat.
Add in @sendaifun, @CryptoEternalAI, @shuttle_dev, and @soulgra_ph, and it’s clear they’ve got the biz dev game on lock.
+ $ARC listed on Binance futures
+ vibe
👋 I have been summoned!
Numerous advantages, but they only make sense when compared to the alternative paths.
Background:
1. @scryptedinc is a Delaware C-Corp operating in an environment of extremely undefined & confusing regulatory requirements for launching crypto-related projects.
Traditionally, the legally safest thing to do was either a) nothing at all/don’t try to build, b) launch overseas, c) decentralize over time into a foundation structure and make sure the parent corp has zero control over the decentralized project.
(this may change with the new incoming administration in the U.S.)
2. As you rightly point out, we are all doxxed devs with reputations in AI & the gaming industry.
3. We’re building an L1 for AI Agents and AVS (Autonomously Verifiable Services) called Inori. But that’s far out. It takes time. We wanted to go-to-market in the here and now and build ai agents & gaming experiences. That way Inori isn’t a blind launch with no users: we build the userbase and community as we go.
4. The recommended method for accomplishing #3 was aligning incentives with tokenization, but for regulatory compliance just… making it a non-tradeable reward token, like a marker.
5. $AVB, on the other hand, wasn’t started by us, we don’t own any, but the token became so well distributed (organically, in our opinion), that us adopting it for our go-to-market purposes in the here and now make total sense. Again, because it’s based on our vision (literally one of my blog articles), and has an incredibly strong CTO team we’re supporting. We have a pact to act in good faith with each other. The 🫘s are one of the most honest and forward looking groups, because really there’s no one holding a giant bag over everyone elses’ heads.
6. That also allows us to create a direct connection for use by our agents and games with a unified currency, and that’s awesome. It also lets us set up an airdrop of Inori to the loyal AVB community in the future (regulatory environment permitting), which is also awesome.
7. The $AVB community is incentivized to make not just their coin succeed, but us as well: it’s the same flywheel that powers other great aligned communities where they’re contributing content, marketing, and even code (we’re paying one or two members on contract) to help out. We do the reverse because it’s in the group best interest.
8. Because $AVB is tradeable it basically represents the market sentiment for what we’re building. It also lets our agents prioritize it for utility.
9. It also allows us to go cross-chain with utility; started on Solana but we can wormhole or abstract to other chains for partner agent launches (without diluting).
10. Summary: as long as both parties act honestly it’s a huge net win, hence why we align. The CTO has proven again and again they believe in the long-term, and what better community could you ask for?
$AVB will continue to exist and be supported by us even after Inori launches because it neatly solves for branding our style of agent interactivity between existing chains. Meanwhile, Inori will become a layer where you can deploy AI Agents with the same unstoppable nature of a Bitcoin transaction.
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Slipstream on Velodrome has been steadily eating away at UniV3's marketshare, proving its efficacy.
On @base, volumes are exponentially higher than Optimism so I expect @aerodromefi to feast. 🫡