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Rate my setup 😌 Undergoing OriginTrail v10 tests while the little one is sleeping. Insane watching my agents grow shared memory from World Monitor insights. Every assertion with clear provenance, looping into recommended actions. A true decentralized intelligence in action!

34,026 次观看 • 3 个月前 •via X (Twitter)

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V8 DKG Launches Now: A New Dawn for AI in 2025🌟 As 2024 draws to a close, we're excited to announce the immediate launch of V8 Decentralized Knowledge Graph (DKG)! This monumental release is set to redefine AI's capabilities as we step into 2025. What Does V8 Bring to the Table? 🧠Decentralized AI: AI agents can now leverage a 'collective memory' at internet scale, drawing from a shared, yet sovereign, knowledge base. This means AI can provide more contextual, coherent, and accurate interactions without compromising data integrity or privacy. 🚀Unmatched Scalability: With the capability to handle billions of Knowledge Assets, V8 DKG sets the stage for AI to grow and learn in ways we've only imagined, supporting everything from decentralized science to industry 4.0. 🔐Trust and Integrity: With integrated decentralized Retrieval Augmented Generation (dRAG), V8 DKG promotes AI that's more accurate, less biased, and inherently trustworthy. How to V8👇 To update your node from V6 to V8, delegate your TRAC utility tokens, and learn more about creating, connecting and owning your Knowledge Assets, make sure to thoroughly read the following documentation: 👉 With V8 DKG launch, you may now access the new: V8 Explorer👉 AND Staking Dashboard 👉 You may now also participate in V8 Staking Security Bounty by delegating new TRAC stake and report your findings. Read more: 👉 The V8 Staking Security Bounty will importantly contribute to the so-called tuning phase of V8 DKG launch (V8.0 to V8.1). Let's break records, as we usher in a new era of Internet Scale OriginTrail!

OriginTrail

561,243 次观看 • 1 年前

My baby is only 10 days old… born into famine and under fire My little boy… my innocent angel… Ali, not even ten days old, came into this world during one of the darkest and most brutal times. He was born in Gaza, born into a genocide. An infant with no fault except that he is Palestinian — born in a place where milk is under siege, childhood is a target, and dreams die before they’re born. His birth was a nightmare. His mother, exhausted from hunger and malnutrition, barely survived. She cannot breastfeed him… she barely has the strength to hold him. And my baby? He cries endlessly. No formula, no diapers, no crib to sleep in, no warmth, no safety — only the cold arms of war. One can of infant formula costs $100, and a pack of diapers is nearly $400 — and we need them every week at least. But I stand here empty-handed… powerless… broken. I cannot give my child the most basic of rights: to be fed, to be clean, to be held in peace. My son, forgive me… I never knew you would be born into a world so cruel. I never imagined your first taste of life would be hunger, deprivation, and pain. But I will never stop trying. To those reading these words — you are our hope. My children need the bare minimum to survive. Your donations, your compassion, your humanity — they are the only things that can save my baby from this slow death, from a hunger that is louder than war. Please… help me save Ali. Help me protect a childhood that began in tragedy.

Hema alsabea

41,916 次观看 • 1 年前

Dario Amodei just ended the debate about AI timelines with one number. Amodei: “Within 10 years we’ll get to what I call kind of country of geniuses in a data center. I’m at like 90% on that.” 90% confidence. From the CEO building it. Country of geniuses in server farms. 10 years. Not one smart model. Millions of expert-level agents operating simultaneously. Entire nation of genius intellect accessible in parallel. Amodei: “It’s hard to go much higher than 90% because the world is so unpredictable.” The 10% isn’t technology doubt. It’s whether civilization survives long enough to finish building it. Geopolitics. Infrastructure. Economic stability. Those are the risks. Not whether it works. World stays intact and intelligence explosion is inevitable. Not possible. Guaranteed. Critics argue about plateaus. Builders prepare for millions of concurrent genius agents. “Country of geniuses” is literal. Nation-scale exceptional intelligence, instant access, unlimited parallel queries. Not enhancement. Obliteration of intelligence as scarce resource. Every bottleneck from expert shortage disappears. Every knowledge problem becomes trivial through instant genius access. Amodei is certain about direction. Uncertain whether chaos disrupts completion. Not if. When. Single-digit years unless catastrophe intervenes. Not better tools coming. Intelligence stops being constraint for any cognitive work. Anthropic’s CEO is 90% sure this happens within a decade. Only question is global stability lasting long enough. When it arrives, every assumption about human advantage, expert value, knowledge work economics becomes obsolete instantly. Intelligence transitions from scarce expensive resource you hire to abundant free infrastructure you access. And that transition doesn’t negotiate. Doesn’t phase in gradually. Just renders the old model inoperable the moment adequate scale deploys. 10 years. 90% probability. Country of geniuses. The future isn’t uncertain. Just the path staying clear long enough to reach it.

Dustin

22,266 次观看 • 6 个月前

Making OpenCode as lean as Pi agent? Just trimmed 25k out of OpenCode's system prompt (from 30k to 4-5k tokens) How? Just disable skills and get rid of massive skill definition bloat. Who needs skills anyway? Just kidding, this is the not the way. It makes the agent lame and defeats the point of using one. But it sets a precedent: Find a way to use skills without their definitions pre-loaded into the system prompt every single turn. Another interesting stuff: Upon testing this temporary "no skill setup" with two of hottest OpenCode Zen free models, Mimo V2.5 vs DeepSeek V4 Flash: One thinks more and talks less One thinks less and talks more Check the video to see which is which If you made it here, I'm finding a way to leanest OpenCode setup that I can get I simply don't believe that OpenCode can't be as lean as Pi Upon tinkering, I made a plugin that temporarily extracts the system prompt while I test, and noticed the hundreds of definitions in it from my .agents/skills directory which is shared across all my coding agents (Cursor, Antigravity, Claude, etc.) Of course disabling skills is not the answer, but it just proved that there is a way to strip the system prompt of these massive skill defs Aside from the system prompt hierarchy that injects confusion imo if you have a conflicting and redundant AGENTS.md which I discovered upon digging into OpenCode's source code Apparently it has prompt.ts/system.ts/instruction.ts/llm.ts and loads base .txt prompts based on model family (claude/gpt-o/gpt-5/codex/gemini/others) that all work together to make OpenCode aware of who it was and how it should use tools and become a "coding agent" Gotta find the most minimal mix that fits right into my workflow Make OpenCode as lean as Pi? We'll see. All in

raymel 👋

37,939 次观看 • 3 个月前