itslevioxa
@itslevioxa
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cool stuff x tech that matters
web3 . Philippines 🇵🇭
Joined September 2024
Phala continues to work with innovative partners, creating a network where decentralized AI can thrive securely and reliably. $PHA
🤝 ChainGPT x Phala Network We’re excited to announce that ChainGPT has partnered with Phala Network, a decentralized and privacy-preserving compute network. For AI Hub v2: → Deploying ChainGPT AI models on Phala’s decentralized compute infrastructure → Bringing secure AI
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You don't need a robot to walk perfectly to make a difference. You need one that notices what humans can't and that's AUKI's play! $AUKI knows where the ROI really comes from
Right now seeing beats moving in robotics. That is the bet we are making @Auki. In retail what is costly isn’t moving products around but noticing what’s wrong. When you have 1000's of retail locations, teaching all the human workers to improve something is painfully difficult.
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Phala built credibility in 2025 in 2026, its goal is to make confidential AI a natural part of how people work and build. 🦾
In 2025 Phala fully bloomed into a full-stack confidential AI infrastructure, meeting the market where the demand is: > Enterprises need AI compliance > Developers need simplicity in TEE deployment > Users need privacy proof Phala built all three. This is Phala in 2025. 🧵
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The rest of the industry focuses on making robots impressive. @Auki is focused on MAKING THEM USEFUL TOGETHER The next robotics leaders won't just build machines, they'll build the systems those machines depend on.
It's clear that China is all in on trying to win the robotics race. With around 150 robotics companies, their robotic industrial complex is second to none. Now Beijing is intervening by trying to control the bubble that is forming, yet it is in this messy bubble phase where many
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Phala didn't just build dstack, they confidently pushed it into neutral territory under the Linux Foundation's governance, making it formally auditable and primed for long-term confidential computing. Now, teams can build on it with assurance, knowing it aligns with industry
dstack is now officially a CCC-hosted project under the Linux Foundation. Started as an open-source, community-driven project and built by contributors across the ecosystem, dstack is foundational to confidential compute — and now belongs to the PUBLIC. For the greater good.
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The rest of the industry focuses on making robots impressive. @Auki is focused on MAKING THEM USEFUL TOGETHER The next robotics leaders won't just build machines, they'll build the systems those machines depend on.
It's clear that China is all in on trying to win the robotics race. With around 150 robotics companies, their robotic industrial complex is second to none. Now Beijing is intervening by trying to control the bubble that is forming, yet it is in this messy bubble phase where many
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here's a proof Phala can handle real-world, high-stakes workloads. enterprises and healthcare teams don't gamble with unverified infra Phala just earned their ticket in. now it's all about putting that trust to work. 🦾
Major Milestone: Phala is officially SOC 2 Type I and HIPAA compliant. Independent auditors validated our security controls for confidential AI, data collaborations, and regulated workloads like healthcare, underscoring Phala’s commitment to enterprise-grade security,
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I might have missed the recent community update, but there's no way I'm missing this $AUKI discount. These guys consistently deliver meaningful progress.
In 2025 we signed our first 7-fig ARR enterprise deal and demoed: - Autonomous humanoid navigation - Orchestration of different robots/glasses - Deployment in <2 min Put these together and mass deployment of robots is already feasible. LOI coming soon. Watch the 2025 recap 👇
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Robots won't become part of everyday life just because they look impressive. This video shows how AUKI is focusing on the practical systems that actually let robots be deployed, maintained, and used at scale. You can talk about robots all you want, but this the company that
Literally no robotics company has a better humanoid robot deployment strategy than ours. You can't buy Figure and Tesla's robots, and the Chinese ones don't do useful work out of the box. Clients love our strategy too. More on this in tomorrow's community update—1pm UTC. 😉
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Phala and OLLM are working together to bring confidential AI to developers at scale. Through OLLM's gateway, models run in Phala's secure cloud, fully encrypted and verifiable on Intel TDX, AMD SEV, and Nvidia H200 hardware. Every inference is attested, so you can be confident
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AI agents are starting to hold keys, execute transactions, and act without human approval. That changes the risk model completely. @PhalaNetwork approaches this from an infrastructure angle. Agents run inside Trusted Execution Environments, so: - The operator can't inspect
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this is how AI starts truly moving through the real world - seeing, navigating, and collaborating in physical spaces just like humans do
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What if AI workloads didn't require blind trust in the cloud at all? This guide explores how @PhalaNetwork Phala's Confidential AI Cloud makes that possible - using hardware-enforced privacy, GPU TEE, and public attestation you can verify yourself. It's a practical look at how
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always good to see Phala Cloud improving the basics. helpful for folks comparing confidential compute options 💚👇🏼
New on Phala Cloud: ☁️ Crystal clear pricing docs ☁️ Revamped billing explanations ☁️ Instance directory with real-time hourly rates, specs, disk charges, etc. See costs before you deploy, understand your bill, pick the right instance without guessing.
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Messari's State of AI 2025 Report recognizes @PhalaNetwork in both the Verification Layer and the Privacy-Enhancing Technologies (PETs) / TEE Spotlight. > Verification Layer: ensures trustless, verifiable offchain computation > TEE-Powered Execution: runs AI models inside
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retail stress? Cactus sorts it out - every product and shelf mapped - tasks get done efficiently - less running around, fewer mistakes - staff more confident and productive Cactus is a practical AI co-pilot that streamlines retail operations and helps both employees and
Feeling overwhelmed at your retail job? Don't let it impact your shelf-esteem. Cactus the AI copilot is shown to boost productivity, performance, and shelf-confidence. Talk to your store manager to see if Cactus may be right for you. 🌵
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It's almost 2026. AI apps will either: > consult Phala to build their own private infra > or just use Phala there's no third option.
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we've been handing over our faces, fingerprints, and voices like they're disposable. what @HumnNetwork is a warning and an upgrade: biometric's can be private, verifiable, and safe if the system never actually sees them. time to rethink what "secure" really means. Human
biometrics are everywhere but how safe are they? at @JoinEdgeCity, Patagonia, @salzone13 -- Lead Cryptographer at https://t.co/NpmNIBBWMd -- walked us through how the @HumnNetwork makes biometric authentication private, secure, and cheaper to compute • what is threshold
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This whitepaper basically broadcasts the message Phala has been championing since day one: The big leap in AI won't come from bigger models - it'll come from making them private, verifiable, and trustless. AI without TEE-level privacy is already outdated. Phala is already
Doubao Phone is ByteDance’s AI-native smartphone, built around Doubao Phone Assistant. And @TaylorOgan is right: This AI Assistant has COMPLETE control over your phone — How is this even safe? Answer: It's safe because it's built around TEEs. https://t.co/l9s6z4jhBo
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