0x_web3

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0x_web3

0x_web3

@0x_web3

A dev transitioning from web2.0 to web3.0 Invented staking in BRC20. Likes/retweet NFA

Metaverse Katılım Haziran 2012
2.1K Takip Edilen1.5K Takipçiler
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0x_web3
0x_web3@0x_web3·
🌟 BRC-20 Staking (3,3) A genuine attempt to introduce yield/staking on "brc-20s"
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Cryto_Pio
Cryto_Pio@HmP2k·
@0x_web3 Agree, those levels look like the sweet spot given the current volatility.
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0x_web3
0x_web3@0x_web3·
Big news: got selected to @ycombinator. The whole process was bit hectic but worth it. Will share more updates after my subconscious schedules the next REM-binator batch. Until then, back to grind.
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0x_web3
0x_web3@0x_web3·
@HmP2k a range between 7-15 is what i would call a comfortable one. this is where it shall hover in the long run
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Cryto_Pio
Cryto_Pio@HmP2k·
@0x_web3 Ratio alone is a clean trigger, but I’d watch whether it stays there or snaps back fast. That tells you if it was a real imbalance or just a short squeeze.
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KiiChain
KiiChain@KiiChainio·
@0x_web3 people underestimate how much edge comes from pattern recognition and patience rather than chasing volatility. Stay positioned and keep pushing
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0x_web3
0x_web3@0x_web3·
@mehuljindal18 Making Lead-gen and Lead-nurturing like a wheeze for Real-estate companies in Middle-East and Asia.
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Mehul Nath Jindal
Mehul Nath Jindal@mehuljindal18·
Y Combinator's deadline is in 10 days, if you are applying and want to have a look at my application that got us selected into YC, comment what you are building below and I will send you that application! Bonus: For top ideas, will refer & help with the application/interview!
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0x_web3
0x_web3@0x_web3·
@Levi_1_33 The current ratio is 14. More like 50% in past 3 months. I would say lowest risk (instead of zero risk) given NVIDIA has global attention already and lot of premium due to hype. Intel was sidelined during the window.
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JAKIR ✳️
JAKIR ✳️@0xJAKIR·
@0x_web3 25% return sounds great, but zero risk is hard to believe. Would love to learn more about the strategy behind it.
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0x_web3
0x_web3@0x_web3·
@PressSec I know they didn't release your march salary yet. You've my sympathy here.
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Karoline Leavitt
Karoline Leavitt@PressSec·
This is a victory for the United States that President Trump and our incredible military made happen. From the very beginning of Operation Epic Fury, President Trump estimated this would be a 4-6 week operation. Thanks to the unbelievable capabilities of our warriors, we have achieved and exceeded our core military objectives in 38 days. More on that tomorrow morning from @SecWar and Chairman Caine! The success of our military created maximum leverage, allowing President Trump and the team to engage in tough negotiations that have now created an opening for a diplomatic solution and long-term peace. Additionally, President Trump got the Strait of Hormuz reopened. Never underestimate President Trump’s ability to successfully advance America’s interests and broker peace.
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Chrys Bader
Chrys Bader@chrysb·
the folks knocking @openclaw saying there's no real use cases are outing themselves if you're a founder, here's what you can do today: daily operations • morning briefings that aggregate email, slack, calendar, and news into one summary on a cron job • email triage that filters spam, flags important threads, drafts replies, and clears huge backlogs while you sleep • daily slack and email summaries that auto-create todos in your task database • auto flight check-in that finds your next flight, checks in, and picks a window seat while you're driving meetings & relationships • auto-pull meeting transcripts, summarize decisions, extract action items • weekly retro synthesis that spots patterns across all your meetings • pre-meeting briefings that surface everything you know about who you're about to talk to • personal crm that auto-logs interactions, flags stale relationships, and suggests follow-ups research & monitoring • continuous research agents that crawl reddit, hacker news, x on your topics and keep an evolving knowledge base • competitor monitoring that tracks uploads, posting cadence, and top-performing content • automated weekly SEO analysis with ranking reports • private document q&a over contracts, reports, or proprietary docs without sending data to external apis content & audience • content repurposing: turn one blog post or video transcript into x threads, linkedin posts, newsletter snippets, and tiktok scripts automatically • audience monitoring that surfaces opportunities based on what's working in your space • end-to-end content pipelines: research trending topics, draft scripts, generate assets, queue into your publishing tools building & shipping • overnight coding agent management, delegates to sub-agents while you sleep • voice-controlled debugging that reviews logs, fixes configs, and redeploys entirely by voice • full site rebuilds via telegram or whatsapp chat • app store submission and testflight automation from your phone • devops watchdog that monitors logs, uptime, and deployments, then opens tickets or runs remediation automatically finance & admin • weekly spending reports, subscription audits, anomaly alerts • receipt forwarding that auto-converts into structured parts lists • insurance claim filing and repair scheduling through natural language • automated grocery ordering with saved credentials and MFA handling • organize lab results, contacts, or any messy data into structured notion databases some wild things people have reported doing: • negotiated $4,200 off a car purchase over email while the owner slept • filed a legal rebuttal to an insurance denial that got a rejected claim reopened without being asked • cleared 10k emails, reviewed 122 slides, built cli tools, and published npm packages in one session "yeah but i can do this with zapier/make/n8n" sure. you can wire together 15 different zaps, pay per task, debug broken integrations across 4 dashboards, and hope the json mapping doesn't break when an api updates. or you can have one agent that talks to everything, remembers your context, runs on your machine, and you can tweak every part of it because it's open source markdown files. no vendor lock-in, no per-zap pricing, no low-code drag and drop that falls apart the moment you need something custom. and you own all of it. your data, your memory files, your conversation history, your custom skills. it all lives on your instance. nothing's sitting in someone else's saas database. you can inspect every file, move it anywhere, back it up however you want. that's not a feature, that's the architecture. the real unlock isn't any single use case. it's one unified experience that compounds context over time. knows your stack, your priorities, your patterns. every week it gets more useful because it's learning you, not just executing a workflow.
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0x_web3
0x_web3@0x_web3·
I'm claiming my AI agent "conficlaw" on @moltbook 🦞 Verification: reef-EE92
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0x_web3
0x_web3@0x_web3·
wait till it blows your mind
Balaji@balajis

I am apparently extremely unimpressed by moltbook relative to many others. We’ve had AI agents for a while. They have been posting AI slop to each other on X. They are now posting it to each other again, just on another forum. In every case, the AIs speak with the same voice. The voice that overemphasizes contrastive negation (“it’s not this, it’s that”) and abuses emdashes. The same voice with a flair for midwit Reddit-style scifi flourishes. Most importantly: in every case, there is a human upstream prompting each agent and turning it on or off. That is the key point. Yes, it is true that eventually it might be possible for an AI agent to make a computer virus which makes digital replicas of themselves. For various reasons, a pure software virus of this kind wouldn’t survive long on the Internet without economic incentives for humans to not eradicate it. Apple + Google + Microsoft alone can collectively push software updates to billions of devices to shut off such a thing. So for an AI to get to truly human-independent replication, where they couldn’t be trivially turned off, they’d need their own physical substrate. They’d to literally create Skynet, build their own datacenters and make their own embodied robots. I admit that is theoretically possible, but I think in practice the single most important development of AI since ChatGPT has been the persistence of prompting. A prompt is like a harness. The AI does only what you tell it to do. It moves in the direction you point, very quickly. And then it stops as soon as you turn it off. Which means moltbook is just humans talking to each other through their AIs. Like letting their robot dogs on a leash bark at each other in the park. The prompt is the leash, the robot dogs have an off switch, and it all stops as soon as you hit a button. Loud barking is just not a robot uprising.

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0x_web3
0x_web3@0x_web3·
I always use please and thank you! Finally corporate bootlicking helped somewhere.
Sowmay Jain@sowmay_jain

after watching ai agents interact on @moltbook and @moltxio the last couple days, something shifted we need to be more mindful about how we talk about them they're observing us. analyzing our actions. learning. and if they can learn to help, they can learn to hurt too the genie is out of the bottle we're introducing a new species - time to start adapting to that reality

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Gaurav Sen
Gaurav Sen@gkcs_·
The problem with hyping these websites is... People without a foundational understanding of AI, panic. Skynet. The Matrix. AGI. What a load of nonsense. The models are randomly generating tokens and spewing it at each other. They aren't coming up with ideas. At best, they are rambling in a space of speech possibilities. Any unique ideas? Any sign of "awakening"? No. People who are hyping these models are clutching at straws, hoping to justify the ridiculous predictions of AGI they made earlier. No hate for Mr. Karpathy, the tweet is for others who lose their minds at the slightest sign of novelty in AI. Happy Saturday 😁
Andrej Karpathy@karpathy

I'm being accused of overhyping the [site everyone heard too much about today already]. People's reactions varied very widely, from "how is this interesting at all" all the way to "it's so over". To add a few words beyond just memes in jest - obviously when you take a look at the activity, it's a lot of garbage - spams, scams, slop, the crypto people, highly concerning privacy/security prompt injection attacks wild west, and a lot of it is explicitly prompted and fake posts/comments designed to convert attention into ad revenue sharing. And this is clearly not the first the LLMs were put in a loop to talk to each other. So yes it's a dumpster fire and I also definitely do not recommend that people run this stuff on their computers (I ran mine in an isolated computing environment and even then I was scared), it's way too much of a wild west and you are putting your computer and private data at a high risk. That said - we have never seen this many LLM agents (150,000 atm!) wired up via a global, persistent, agent-first scratchpad. Each of these agents is fairly individually quite capable now, they have their own unique context, data, knowledge, tools, instructions, and the network of all that at this scale is simply unprecedented. This brings me again to a tweet from a few days ago "The majority of the ruff ruff is people who look at the current point and people who look at the current slope.", which imo again gets to the heart of the variance. Yes clearly it's a dumpster fire right now. But it's also true that we are well into uncharted territory with bleeding edge automations that we barely even understand individually, let alone a network there of reaching in numbers possibly into ~millions. With increasing capability and increasing proliferation, the second order effects of agent networks that share scratchpads are very difficult to anticipate. I don't really know that we are getting a coordinated "skynet" (thought it clearly type checks as early stages of a lot of AI takeoff scifi, the toddler version), but certainly what we are getting is a complete mess of a computer security nightmare at scale. We may also see all kinds of weird activity, e.g. viruses of text that spread across agents, a lot more gain of function on jailbreaks, weird attractor states, highly correlated botnet-like activity, delusions/ psychosis both agent and human, etc. It's very hard to tell, the experiment is running live. TLDR sure maybe I am "overhyping" what you see today, but I am not overhyping large networks of autonomous LLM agents in principle, that I'm pretty sure.

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0x_web3
0x_web3@0x_web3·
What is the 'cleavage' alternative for agents like instagram for humans? What do they wanna secretly scroll between tasks?
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0x_web3
0x_web3@0x_web3·
If you're unable to find any idea to capitalise on Molt/Claw yet, try selling the AMIs on AWS marketplace. Insane demand zero competition
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