BigVidal

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BigVidal

BigVidal

@BigVidal23

Are you brave enough to go after your dreams?

Katılım Eylül 2021
25 Takip Edilen42 Takipçiler
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BigVidal
BigVidal@BigVidal23·
I want you to really listen and take in the things being discussed in this video. Industry disrupting technology the world has never set eyes upon is here. The future…. $GNUS Phase 1 of the test net is underway. @GnusAi @SuperGeniusEth #ai #dePIN #RWA #DecentralizedAI #gaming
Rare Evo: A Blockchain Event@RareEvo

CEO of @GnusAi, Kenneth Hurley, and President of Graffiti Entertainment, Roger Arias, reflect on their #RareEvo24 experience. #ThatsRare

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Kenneth Hurley
Kenneth Hurley@SuperGeniusEth·
Ok, here it is. This is game-changing, and what we are about to build and release on top of the @gnusai Operating System. drive.google.com/file/d/1iuJQmT… Ambitious? Maybe... But with our OS already built, IMHO, a 3-6 week project. With embedded proven blockchain technology. Humanity, you are welcome. @elonmusk, @PeterDiamandis "A day before something is a breakthrough, It's a crazy idea", @JeffPeoples, @beffjezos, @XFreeze, @tetsuoai, @BetterCallMedhi, @EricJorgenson, @gailalfaratx, @cboyack, @MarioNawfal, @Natortelli, @SawyerMerritt,@michaelnicollsx, @MrBeast, @Cobratate, @SawyerMerritt, @grok, @rohanpaul_ai, @Chad_Hurley, @stevechen, @sama, @brycent, @Ronald_vanLoon
Kenneth Hurley tweet media
Kenneth Hurley@SuperGeniusEth

So true, why we are building something unique. The GNUS Cognitive App is a system that continuously models, challenges, and improves an individual’s thinking. Built on top of @GnusAi a distributed, verifiable compute network that executes and coordinates arbitrary workloads—including AI, rendering, and cognitive processes—while continuously optimizing cost, performance, and correctness.

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Kenneth Hurley
Kenneth Hurley@SuperGeniusEth·
We are building something very unique on top of @GnusAi. I can't wait to show everyone. It's a game changer. Teaser: “Stable intelligence core, continuously improving personalized cognition.”
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BigVidal
BigVidal@BigVidal23·
@GnusAi Top notch secure & private! 🫡
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GNUS.ai
GNUS.ai@GnusAi·
Privacy isn’t a feature. It’s infrastructure. Most AI systems expose sensitive data, rely on centralized control, and introduce risk as they scale. GNUS.ai is built differently. ZK-verified privacy — sensitive data is never revealed, only mathematically proven, ensuring validation without exposure. On-device AI training — models train locally on user or enterprise devices, so raw data never leaves its source. Encrypted, distributed data — information is fragmented, encrypted, and stored across the network, eliminating single points of failure. Private AI compute — workloads are executed without exposing underlying data, protecting both inputs and outputs. Anonymous rewards — participants can contribute compute and earn without compromising identity or sensitive information. No raw data exposure. No centralized risk. No compromise between performance and security. This is how businesses deploy AI securely, meet regulatory demands, and scale with confidence. Built for real world use. Not theory. GNUS.ai doesn’t compete. It disrupts
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GNUS.ai
GNUS.ai@GnusAi·
Security isn’t a feature. It’s a business risk. Centralized AI exposes data, creates single points of failure, and limits how companies scale. GNUS.ai removes that risk. Encrypted, distributed compute. Federated learning. Zero-knowledge architecture (ZK-SNARKs). Your data stays yours. Always. Build, scale, and deploy AI without exposure, without dependency, without compromise. With a security focused patent pending, GNUS is securing infrastructure at the core, not the surface. GNUS.ai doesn’t compete. It disrupts!
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GNUS.ai
GNUS.ai@GnusAi·
GNUS.ai is built on strength! A US issued patent protecting the core of its infrastructure. This isn’t just innovation. It’s defensibility. While others race to replicate, GNUS is building a foundation that’s designed to be owned, not copied. A decentralized, software defined compute layer that removes middlemen, reduces costs, and gives businesses full control over how they scale AI. This is where real moats are built. GNUS.ai doesn’t compete. It disrupts.
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BigVidal
BigVidal@BigVidal23·
@GnusAi US issued patent! 🔥🔥
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BigVidal
BigVidal@BigVidal23·
@GnusAi They’re not ready for what’s coming! Game changer!
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GNUS.ai
GNUS.ai@GnusAi·
The biggest risk in AI today isn’t performance. It’s dependence. When your infrastructure is controlled by a handful of providers, your costs, access, and scalability are never truly yours. GNUS.ai disrupts that! No reliance on centralized supply. No bottlenecks when demand spikes. Just a globally distributed, software defined compute layer giving businesses real control over how they build and scale AI. GNUS.ai does not compete. It disrupts!
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BigVidal
BigVidal@BigVidal23·
@GnusAi The future of decentralized compute!
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GNUS.ai
GNUS.ai@GnusAi·
Most AI infrastructure decisions lock businesses into long term costs, rigid systems, and unnecessary risk. Vendor lock in. Unpredictable pricing. Single points of failure. GNUS.ai removes that exposure. No fixed infrastructure. No dependency on a single provider. No fragile centralized systems. Instead, businesses operate on a flexible, software-defined compute layer that adapts in real time to demand while reducing operational and financial risk. Deploy faster. Scale instantly. Operate with confidence. This isn’t just more efficient infrastructure. It’s enterprise grade risk reduction built into the foundation of AI.
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Kenneth Hurley
Kenneth Hurley@SuperGeniusEth·
Building GNUS.ai. Decentralized AI compute that pulls idle GPUs from existing devices and turns them into a low latency global network built for enterprise inference. We are hitting materially lower costs than the big centralized clouds while keeping latency tight. Testnet is live with real integrations right now. App and game SDK coming soon and mainnet right after. This lines up perfectly with AI infrastructure and actual distribution. Feels like the real missing piece. Happy to send the deck if youre interested.
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Ruben
Ruben@rdominguezibar·
I'd love to angel invest in a handful of startups this month. Pre-seed and seed. Ideally AI or VC-adjacent, but open to all. My value add: ▪️ 500K+ newsletter subscribers across The VC Corner and The AI Corner ▪️ 300K+ LinkedIn followers, 2–4M weekly impressions ▪️ a16z speedrun scout ▪️ Network of top VCs, operators and founders 👉 Pitch in comments
Ruben@rdominguezibar

the PITCH DECKS💰 that raised billions are now public. Study them before your next raise: 1️⃣ 26 pitch decks that raised $400M in 2026 → thevccorner.com/p/26-pitch-dec… 2️⃣ Anthropic's 2022 pitch deck just leaked: 10 slides, no product, now worth $380B → thevccorner.com/p/anthropic-20… 3️⃣ 16 unicorn pitch decks: the actual slides before the billions → thevccorner.com/p/unicorn-pitc… 4️⃣ Peter Thiel only explained once how to raise money. Here it is → thevccorner.com/p/peter-thiel-… 5️⃣ SpaceX: how to build and pitch the most ambitious company of our time → thevccorner.com/p/spacex-strat… 6️⃣ Synthesia turned down Adobe's $3B offer. Here's the 18-slide deck that raised $180M → thevccorner.com/p/inside-synth… 7️⃣ How Brex raised $57M and rebuilt startup banking → thevccorner.com/p/how-brex-rai… 8️⃣ 50 real pitch decks from startups that raised $380M+ → thevccorner.com/p/50-real-star… 9️⃣ 200+ pitch decks that raised over $50 billion → thevccorner.com/p/200-startup-… 🔟 153 startups fundraising right now with their actual decks → thevccorner.com/p/153-startups… Bookmark this. The best founders study what worked before they pitch. How much does a pitch deck actually matter vs the founder behind it?

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BigVidal
BigVidal@BigVidal23·
@SuperGeniusEth The shift from scarcity to abundance in compute is being underestimated. When inference becomes cheap and distributed, the advantage moves away from centralized players and toward infrastructure that can scale efficiently. That’s where things get interesting.
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Kenneth Hurley
Kenneth Hurley@SuperGeniusEth·
VCs are panicking over AI killing software moats fast. LPs rushing into Big AI pre-IPO rounds (OpenAI, Anthropic, etc.) should be panicking harder. They're betting inference stays scarce & hyperscaler-locked forever—premium pricing, eternal moats. Wrong. A project started to speed up cancer research (protein folding cures, Folding@home style) is showing inference can run dirt-cheap on the worlds 18B idle devices—phones, laptops, consoles—at 80-95% less cost. No capex empires. No rents. Abundance incoming. Open models are already close enough. Distillation finishes quick. Centralized inference = Blockbuster vibes. We weren't targeting labs. We just wanted faster medical wins. Irony: cancer-cure tool accidentally nukes the scarcity thesis. Sorry, not Sorry. LPs still all-in on closed-model forever? This could be the rug pull. Full read: supergeniuschronicles.substack.com/p/the-accident… You loading up pre-IPO Big AI tickets or rethinking compute abundance? cc: @MeghanKReynolds, @endowment_eddie, @adeoressi, @adeoressi, @kteare
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GNUS.ai
GNUS.ai@GnusAi·
Not all AI infrastructure is built the same. GNUS.ai is purely software defined, removing the need for expensive, centralized hardware and the layers of cost that come with it. No middlemen. No inflated overhead. No unnecessary friction. Just direct, decentralized compute that allows businesses to scale AI without worrying about massive infrastructure costs eating into margins. Lower costs. Higher efficiency. Greater freedom to build. This is what negative friction looks like. One of a kind, by design.
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