OG 🌊
@0x_OG9
Followers
3K
Following
71K
Media
4K
Statuses
43K
Vibe Posting, 420, YAPYBARAS. No financial Advice -Fuck Around and Find Out-
SPACE
Joined October 2016
anytime i lose money in crypto im always thinking of how much weed i could have bought with that.
10
0
19
that is why @OpenGradient redefines who captures value in AI. instead of platforms extracting value from user data and usage, the ownership of memory and verification shifts leverage back to users and developers. if that sticks, AI ecosystems won’t scale around centralized
Most AI today is powerful, but broken at the foundation. @OpenGradient is tackling the real issue: trust, memory, and user ownership. Instead of another closed AI product, they’re building a Layer 1 for open intelligence. Verifiable compute, secure inference, AI agents, and
5
1
9
Kaibot 2.0 from @wardenprotocol shows that social growth isn’t just about posting more, it’s about understanding patterns beneath the surface. it tracks not only metrics but why they move, interpreting dynamics through crypto X activity. instead of chasing every trend, it
There are many tools to "diagnose" your X account, but I chose Warden's Kaibot 2.0. Kaibot 2.0 by @wardenprotocol made me realize something: Growth on X was never just about posting more. We all guess our way through timing, formats, and trends. But CT moves too fast for
7
1
5
a lot of options for @arbitrum isn’t short on options there are hundreds of dApps live. with that spanning DeFi, gaming, and real-world assets, the value comes from exploration and engagement, not just surface-level usage. builders and users alike benefit from this density,
There are literally 100s of dApps on @arbitrum You can’t just come and say: you didn’t find one interesting enough to make you stay It’s either you have’t searched enough, or you haven’t searched enough Arbitrum is home to us, One of the best L2 chains for Ethereum, Search
1
1
3
Prompt to DeFi on @Infinit_Labs is coming tomorrow. Infinit is more than an AI assistant, it turns simple text prompts into fully verified, multi-step on-chain strategies. Creators can earn from their expertise, while users run sophisticated workflows instantly, no coding
Recently, @Infinit_Labs won the "Innovation of the Year" as part of the Warhol Awards. They didn’t just improve DeFi UX, they changed how strategies are created and executed. Here’s how INFINIT evolved from an AI copilot into a full-stack DeFi infra 🧵 1. What's INFINIT?
4
1
11
gBillions How many @billions_ntwk Power Points do you have? I have 7,915 points
6
1
10
the @NetworkNoya founder is cooking up $NOYA tokenomics. he’s put it up for discussion, very smart move. what would you love to see in the tokenomics?
If you’re a long-term NOYA holder: What do you want to see and absolutely NOT see in NOYA tokenomics?
3
1
5
what @Kindred_AI is quietly proving is that emotional continuity beats technical novelty. people don’t bond with wallets or chains, they bond with characters and stories they already trust. by anchoring AI companions to familiar IP, Kindred solves the hardest problem in AI
🤩As Kindred AI Companion, Which Character Would You Like to Meet? @Kindred_AI has signed licenses with over 35 global IPs. Ai companion remembers everything about you, emotionally connecting with you in appearance of famous characters. One surprising thing is that there are
1
1
1
Nesa ( @nesaorg ) is tackling the trust gap most AI projects gloss over. while others focus on shipping smarter models, Nesa focuses on verifiable execution being able to prove an AI ran correctly, privately, and without relying on blind trust. that shift turns AI from a
Been looking at @nesaorg and they're solving something most AI projects ignore everyone's building models. nobody's asking "but can you prove it worked correctly?" Nesa makes AI inference cryptographically verifiable not just "trust me bro" outputs encrypted, private, and you
2
1
1
what @pip_world highlights is the shift from decision-making to decision delegation. instead of reacting emotionally or constantly watching charts, you’re outsourcing execution to a system built around proven behavior. that doesn’t remove control, it removes noise and in
Who do you trust more when trading. Yourself or a system that follows proven traders? If answer is the latter you should be using @pip_world. You pick the trader. The system does the boring part. It's saved me a lot of time.
1
1
3
what @pip_world highlights is the shift from decision-making to decision delegation. instead of reacting emotionally or constantly watching charts, you’re outsourcing execution to a system built around proven behavior. that doesn’t remove control, it removes noise and in
Who do you trust more when trading. Yourself or a system that follows proven traders? If answer is the latter you should be using @pip_world. You pick the trader. The system does the boring part. It's saved me a lot of time.
1
1
3
Nesa ( @nesaorg ) is tackling the trust gap most AI projects gloss over. while others focus on shipping smarter models, Nesa focuses on verifiable execution being able to prove an AI ran correctly, privately, and without relying on blind trust. that shift turns AI from a
Been looking at @nesaorg and they're solving something most AI projects ignore everyone's building models. nobody's asking "but can you prove it worked correctly?" Nesa makes AI inference cryptographically verifiable not just "trust me bro" outputs encrypted, private, and you
2
1
1
what @Kindred_AI is quietly proving is that emotional continuity beats technical novelty. people don’t bond with wallets or chains, they bond with characters and stories they already trust. by anchoring AI companions to familiar IP, Kindred solves the hardest problem in AI
🤩As Kindred AI Companion, Which Character Would You Like to Meet? @Kindred_AI has signed licenses with over 35 global IPs. Ai companion remembers everything about you, emotionally connecting with you in appearance of famous characters. One surprising thing is that there are
1
1
1
the @NetworkNoya founder is cooking up $NOYA tokenomics. he’s put it up for discussion, very smart move. what would you love to see in the tokenomics?
If you’re a long-term NOYA holder: What do you want to see and absolutely NOT see in NOYA tokenomics?
3
1
5
gBillions How many @billions_ntwk Power Points do you have? I have 7,915 points
6
1
10
Prompt to DeFi on @Infinit_Labs is coming tomorrow. Infinit is more than an AI assistant, it turns simple text prompts into fully verified, multi-step on-chain strategies. Creators can earn from their expertise, while users run sophisticated workflows instantly, no coding
Recently, @Infinit_Labs won the "Innovation of the Year" as part of the Warhol Awards. They didn’t just improve DeFi UX, they changed how strategies are created and executed. Here’s how INFINIT evolved from an AI copilot into a full-stack DeFi infra 🧵 1. What's INFINIT?
4
1
11
a lot of options for @arbitrum isn’t short on options there are hundreds of dApps live. with that spanning DeFi, gaming, and real-world assets, the value comes from exploration and engagement, not just surface-level usage. builders and users alike benefit from this density,
There are literally 100s of dApps on @arbitrum You can’t just come and say: you didn’t find one interesting enough to make you stay It’s either you have’t searched enough, or you haven’t searched enough Arbitrum is home to us, One of the best L2 chains for Ethereum, Search
1
1
3
Kaibot 2.0 from @wardenprotocol shows that social growth isn’t just about posting more, it’s about understanding patterns beneath the surface. it tracks not only metrics but why they move, interpreting dynamics through crypto X activity. instead of chasing every trend, it
There are many tools to "diagnose" your X account, but I chose Warden's Kaibot 2.0. Kaibot 2.0 by @wardenprotocol made me realize something: Growth on X was never just about posting more. We all guess our way through timing, formats, and trends. But CT moves too fast for
7
1
5
that is why @OpenGradient redefines who captures value in AI. instead of platforms extracting value from user data and usage, the ownership of memory and verification shifts leverage back to users and developers. if that sticks, AI ecosystems won’t scale around centralized
Most AI today is powerful, but broken at the foundation. @OpenGradient is tackling the real issue: trust, memory, and user ownership. Instead of another closed AI product, they’re building a Layer 1 for open intelligence. Verifiable compute, secure inference, AI agents, and
5
1
9
the deeper signal here isn’t just TVL distribution, it’s behavior. LSTs concentrate where users trust long-term security, liquidity depth, and minimal governance risk, and @arbitrum consistently wins on those fundamentals. short-term incentives can pull capital temporarily, but
When we look at the distribution of LSTs on L2s, the trust in @arbitrum is clearly evident. Of course, there are fluctuations, but overall, Arbitrum is the most preferred place for staked ETH. There may be temporary spikes in other L2s, but the most preferred place is clearly
3
1
5