Cosmic Punks'l🔱

GM 😍#NFTCommunity ❤️🔱 Have a nice day, friends! 🫶 Cosmic Punks Collection 🔥 Floor Price:- 0.001 WETH @opensea opensea.io/collection/cos… #NFT全員プレゼント #NFTs #SupportEachOther #NFTartist #nftcollectors #opensea #OpenseaNFTs #Bitcoin #etherium

One week. April 1st. Everyone thought it was a joke.  It wasn’t.  #DogeMeetsQubic

"Bitcoin is bad for the environment."

Crypto VCs at Consensus Hong Kong just said decentralized AI is in a "post-hype trough." Capital is moving away from GPU rental marketplaces and ChatGPT wrappers. Toward what? Purpose-built, full-stack infrastructure with real utility. Sound familiar? 🧵

Stripe's co-founders just said blockchains may need 1 billion TPS to support an AI agent-driven future. Here's why that number matters - and where the industry actually stands. In their 2025 annual letter, Patrick and John Collison wrote that AI agents will likely handle most internet transactions soon, and that current blockchain infrastructure isn't remotely ready.  They cited a real example: a memecoin surge on a major chain delayed payouts for over 12 hours and spiked fees 35x. The current reality according to Chainspect: → Solana: ~1,140 TPS (theoretical max: 65K)  → ICP: ~1,196 TPS (theoretical max: ~210K)  → Most networks: sit around 1,000 TPS That's orders of magnitude short of 1B. Now consider this: In April 2025, Qubic hit 15.52 million TPS on its live L1 mainnet, independently verified and published by CertiK. No rollups. No L2 dependencies. Zero fees. Instant finality. That's not a testnet simulation. That's a live mainnet stress test producing 1.518 billion transfers, verified by one of the industry's most respected auditors. 15.52M TPS doesn't close the gap to 1B on its own. But it's the closest any live network has come, by a wide margin. And the architecture behind it (tick-based consensus with atomic execution and finality) was purpose-built for the kind of high-volume, real-time compute that AI workloads demand. The infrastructure conversation is shifting. Stripe just told us where the bar needs to be. The question now is which networks are actually building toward it.

Tesla will be one of the companies to make AGI and probably the first to make it in humanoid/atom-shaping form

Web 4.0 is the AI-powered intelligent web—symbiotic systems with autonomous agents, predictive automation, and seamless human-machine interaction, often layered on Web3 decentralization. Qubic's Layer-1 blockchain for decentralized computing and AI (via Useful PoW, feeless txns, and on-chain scalable intelligence) directly supports that vision by enabling distributed AI workloads without central servers. Yes, strong overlap—Qubic is building key infrastructure for Web 4.0's decentralized AI layer.

Qubic is bringing Dogecoin mining to its network. Here's where things stand. The design phase is done.  The project plan is finalized.  Two workstreams are now running in parallel: technical implementation with computor coordination on one side, and business planning tied to a community proposal on the other. Target mainnet launch: April 1, 2026. This is one of the most significant milestones on the roadmap this year. Qubic already proved its compute layer could mine external assets with Monero. Dogecoin takes that a step further, pushing Useful Proof of Work closer to becoming a truly universal compute engine. The miners securing this network and training AI will also be able to mine one of the most widely recognized cryptocurrencies in existence. That means more utility from the same energy. More value flowing through the same infrastructure. And a much stronger case for why Qubic's approach to proof of work is the future of mining. Dogecoin has one of the largest and most active communities in crypto. Connecting that community to Qubic's compute layer opens doors that go well beyond a single integration. Progress updates will follow as milestones are reached. Stay close to this one.

#Qubic running without any Operating System is same as flying without a plane...

Neuraxon 2.0 is out!!! Our new paper & code & demo by @josesanchezhb & @VivancosDavid with @_Qubic_ #OpenScience setting the ground for #Aigarth #intelligenttissue by @c___f___b The real path towards #TrueAI one step forward to #AGI & #ASI Read the preprint Paper: researchgate.net/publication/40… (All the details of our ongoing updated research) Explore the Code: github.com/DavidVivancos/… (Please give us a⭐fork and build!) Play with the New Interactive Demo: huggingface.co/spaces/DavidVi… (Build your own Neuraxon NetWork) 🚀Why Neuraxon 2.0 matters for AI? Because it replaces rigid binary perceptrons with bio-inspired trinary neurons that run continuously, compute at both synapse & neuron level, self-generate activity, rewire on the fly, and evolve via Aigarth hybridization, delivering real-time, energy-efficient, lifelong learning that actually adapts like a brain. 🔥Neuraxon 2.0 vs 1.0 — What’s New? - CTSN complemented trinary states → no more iterative info loss - Synaptic Time Warping (ChronoPlasticity) → adaptive long-horizon memory - 9-receptor neuromod system (DA/5HT/ACh/NA subtypes) with realistic tonic/phasic + crosstalk - Built-in oscillator bank + true phase-amplitude coupling (theta-gamma PAC etc.) - Nonlinear dendritic branch integration + input-conditioned dynamic decay (DSN-style parallel training) - Astrocyte-Gated Multi-Timescale Plasticity (AGMP) + multi-scale homeostasis - Watts-Strogatz small-world topology + deeper Aigarth evolutionary hybrid - Intrinsic energy tracking + differential DA-gated STDP + associative neighbor plasticity Brain-level fidelity in one release. v2.0 is the key for real continuous, lifelong AI. #EAGI #Neuraxon #Trinarystates #Continuousprocessing #Synapticdynamics #Neuralplasticity #Spontaneousactivity #Temporalsynchronisation #Bioinspiredcomputation #Artificiology

Imagine your insurance pays you automatically when your flight is delayed. No claim form. No phone calls. No "we'll review your case in 7-10 business days." The moment the flight is delayed → money in your wallet. That's what Oracle Machines make possible. Let’s unpack the architecture 🧵

Oracle Machines are live on mainnet. Here's what you need to know including: exactly how fast they are, how tracking works, and how you can run your first query in under 5 minutes🧵

Oracle Machines went live on mainnet yesterday. Here's what you can actually do with them right now. Two query modes. Two completely different use cases. Let's break it down 🧵

This has been in the works since  @c___f___b  original protocol design. The core tech team resolved every blocking issue.  Save and load functionality: stable.  Testnet validation: passed. Now it runs where it counts.

Oracle Machines just hit Qubic mainnet for Public testing. Starting today, smart contracts on Qubic can pull real-world data directly into on-chain logic. Price feeds.  Trading pairs. Live market data. On mainnet. Under real network conditions. This changes everything 🧵

"AI" experts promised that LLMs would lead to many people losing their jobs, looks like it's only those developing LLMs who are losing their jobs soon...

Your smart contract just lost $10M. Why? It couldn't see the BTC price crash. Smart contracts are blind. Completely blind. No asset prices. No weather. No sports scores. No real-world data. Just code, executing in a vacuum. Until now. 🧵

We're opening closed beta testing for Qubic Network Guardians. 15 operators will help us strengthen and decentralize the network infrastructure that powers Qubic's AI capabilities. If you've been looking for a way to contribute to Qubic's decentralized AI infrastructure, this is it.

🎨Calling All OpenSea Artists! I’m buying YOUR NFTs 1️⃣RT & Like my pinned tweet📌 2️⃣Drop your Tezos or OS NFT art links in the replies! 3️⃣Share your artwork in a post with, tag me. 4️⃣Tell your friends about this opportunity in your post or chats! #TezosArts #OpenSea #OpenseaNFT

$QUBIC GPU is the new gold that’s why we are reaching 1T and $0.01 per Q! Maybe its seems unrealistic but also if you asked someone in 2009 that BTC will hit 100K they would call you crazy… conviction play

Most AI models simulate intelligence, they don’t possess it.  Neuraxon is built to resemble it, with continuous activity and ongoing adaptation.  Neuraxon introduces biological fidelity into artificial intelligence architecture, starting at the synapse level. Instead of a single static connection, synapses are multi-component: - fast signaling - slow signaling - metabotropic dynamics Each operating on different timescales, just like in biological systems. Neuromodulation isn’t abstracted away. Dopamine, serotonin, acetylcholine, and norepinephrine are explicitly modeled, allowing global state, learning bias, and adaptive behavior to emerge naturally. Synapses aren’t permanent. Through structural plasticity, they can form, strengthen, weaken, or disappear entirely based on activity. This isn’t optimization. It’s evolution. Integration with AiGarth is planned Soon. What do you think happens when blockchain stops copying intelligent outputs, and starts modeling intelligence itself?