Argentum AI
@Argentum_AI
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Building the next generation of compute: open access, high security, global reach.
Global
Joined July 2025
True AGI will remain a dream until we solve the physical constraints of energy and entropy." - Clark Alexander, Chief AI Officer, Argentum AI. This first-principles thinking is what separates hype from durable progress. At @Argentum_AI, we're not just chasing benchmarks, we're
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Watch the full deep-dive on AI agents and decentralized compute: https://t.co/zat67wc0nf
mpost.io
At the Hack Seasons Conference in Singapore, experts discussed the current and future role of AI agents in Web3, covering practical applications, and more while emphasizing that human oversight...
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The future of AI isn't just about models, it's about infrastructure. Our CAIO Clark Alexander broke it down at Hack Seasons Singapore.
The future of AI and Web3 is taking shape on-chain. At the Hack Seasons Conference in Singapore, experts including @eponomarev, Co-Founder @fluence_project, @michaelh_0g, Co-Founder & CEO @0G_labs, @Gaurav_ionet, CEO @ionet, and Clark Alexander, Chief AI Officer @Argentum_AI
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Argentum AI raises funding for its decentralized compute marketplace: Details
u.today
Argentum AI, marketplace for decentralized computing resources, shares details of its recent funding round
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Phala is moving to Ethereum L2 for confidential AI growth, while Argentum AI attracts funding for a decentralized compute network. AI-crypto convergence grows! #AI #Crypto #Blockchain
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We're powering the stage where the future of AI gets built. If you're serious about what's next in AI, Web3, and beyond, this is the only place to be in November. See you there.
Curious how AI is shaking up Web3, gaming, finance, art & beyond? 🤖✨ Don’t miss AI Futurist Conference 2025, powered by @Argentum_AI!😱 📅 Nov 6 | Hollywood, FL Get ready to dive into the future & see the tech that’s shaping the next decade 🚀💡 @Futurist_conf
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Clark captures our core thesis perfectly. We're building the tangible, agent-driven future of compute today, while grounding our work in the physical realities of energy and infrastructure.
#HSCLifeRules by Clark Alexander, Chief AI Officer at @Argentum_AI Clark believes AI agents are already proving themselves — brokering compute auctions between idle and active nodes isn’t sci-fi, it’s shipping. But he’s also clear-eyed about the limits: until we solve the
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We're not building another data center. We're connecting them.
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Billions of dollars in powerful GPUs sit idle in data centers and research labs worldwide. This is an immense waste of capital and energy. By creating a market for this idle capacity, we can drastically reduce the cost of compute and its environmental footprint simultaneously.
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AI innovation is accelerating, but access to the fundamental resource compute, is not. Soaring costs and limited availability are creating a bottleneck. The next great AI breakthrough shouldn't be stalled by a GPU shortage. Question for builders: How has compute access impacted
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The 1-Year Vision: Clark: "Success... is witnessing these real-world scientific and industrial compute tasks being completed on Argentum AI." From molecular simulations to AI training, we're powering the next wave of innovation. Read the full interview here: ↓
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The Future is Secure: "We aim to be one of, if not the only, post-quantum secure blockchain." Argentum AI is building with lattice-based encryption today to secure the platform for the quantum era.
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Q: How do you ensure reliability in a decentralized network? Through a system of verifiable bilateral agreements and AI-aided arbitration. Providers get paid *after* users verify the work. It’s a fair, transparent system of checks and balances.
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🚨 The Python Problem Clark: "Training a model in Rust can be six orders of magnitude... a million times more efficient than Python." @Argentum_AI will use tiered pricing to create a market force, incentivizing energy efficient languages. Inefficiency has a cost.
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Q: How does Argentum AI's marketplace address compute inefficiency? Clark: "We are aiming to be compute-agnostic... Our agent learns the user’s needs... and finds the most efficient provider." We stop the "square pegs in round holes" problem, saving money and energy.
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Q: SLMs vs. LLMs, what's the advantage? Clark: "Large language models are, in most cases, overkill." He envisions a network of specialized "expert" SLMs, far more efficient than a single, gigantic, general-purpose LLM.
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Q: Where are the real-world limits of LLMs appearing? Clark: "The primary limitation is a physical barrier... The lead engineer [at Oak Ridge] told me they couldn’t build it twice as large simply because they couldn’t afford the electricity bill." Energy is the ultimate
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We're breaking down the must-read @DL_Research conversation with Dr. Clark Alexander, Co-Founder & Head of AI at @Argentum_AI A deep dive on the 'physical' limits of AI, why efficiency is the new battleground, and how we're building the future of compute.
At @token2049 Singapore, we sat down with Dr. Clark Alexander, cofounder and Head of AI at @Argentum_AI, to unpack how decentralised networks can deliver reliable compute at scale, and ask a burning question: Is Python holding back AI? Full interview: https://t.co/ivoDgSPfPm
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We are building the decentralized compute marketplace for AI. We connect those with idle GPUs to those who need them, creating a global, liquid market for compute power. • 40-60% cheaper than centralized clouds • Enterprise-grade compliance (SOC2, HIPAA) • No vendor lock-in
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