octra
@octra
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universal FHE protocol enabling economies of the future:
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Joined November 2022
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some news:
1/ octra has raised $4m in pre-seed funding, led by
@FinalityCap
and supported by
@BigBrainVC
, Karatage,
@presto_labs
,
@BuilderVC
and others.
2/ octra is releasing a public WASM sandbox to demonstrate the efficiency of hypergraphs in FHE:
(WIP)
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homomorphic encryption and decryption of a 547kb image using octra’s FHE over hypergraphs (HFHE) technology. the original image is processed with added noise and restored with full bit-for-bit convergence. encryption took 0.18s, decryption 0.13s, a total of 0.31s and 1568 kb mem.
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octra LAN party at all conferences starting next year
let’s make tech fun again
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taking the chance to thank all funds, daos, individual investors, angels and the community for their continued support.
@zero__dao
@curiositycap
@Wise3Ventures
@I_D_Theory
@VamientLabs
@10b57e6da0
@CogitentV
@xo2corporation
@OVioHQ
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not gonna be in denver this year. i'm busy building a product (a real one) in half a year (wouldn't expect a lot of you to understand anyway) so please don't dm me asking me where i am (im grinding in the office, ok) you'll most likely get aired because ill be busy working (again
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two of our team members are in dubai for token2049, dm if you need a psytrance dj duo for your side event
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vitalik bullposting FHE was on my 2024 bingo list
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if you've ever built an open-source arch linux loader solo and this is your readme file, please reach out to us for hiring opportunities
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whatever you’re thinking right now
and we’re all likely thinking the same thing
well, just remember this:
FHE solves it
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mom said not to speak to strangers on the internet but i think you are all very cool
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transferring 1k usd by bank internationally costs 45 usd with “loss insurance” but yeah blockchains are inefficient
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private trades with sub-second execution, but on an open-source, publicly auditable and trustless platform
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HFHE: Subtraction in hypergraph space
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signal, proton, brave market shares steadily on the rise, but yeah privacy and control of your data are totally not a global trend
Facebook account deleted.
Instagram app deleted.
Moved personal email to proton from apple
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economies of the future will indeed include non-humans, and you literally can’t build this without FHE, as it requires:
1) verifiable security of training data;
2) verifiable privacy of interaction with the agent;
3) full compatibility of the data = zero offchain computation
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HFHE: Noise basis determination
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it’s easy to make believe, but with big paradigm shifts, truth always wins
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HFHE: Noise assessment in ciphertext elements
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if you don't know how FHE works and refuse to learn, this decade will be a tough one for you
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actually, yes
fh-encrypted, ultrafast, tokenized tor 2.0 with global consensus, native support for isolated execution environments, easy integration of private AI agents based on user-programmed privacy, and proper web dev tooling
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HFHE: Hypergraph stability after subtraction
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people out there really thinking AGI will choose to exist on a distributed public financial ledger
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as the digital world is becoming increasingly complex, we witness the advent of Al coupled with large-scale hacks, data leaks and crypto heists. this naturally begs the question: what can be built that doesn't break, and how can "don't trust, verify" be applied to data safety?
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while you were building ai wearables, i mastered distributed encrypted storage for when you leak user data
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we are excited to enable new usecases on o-net and within existing ecosystems. we will soon release a public playground for processing different types of data using HFHE. stay tuned for announcements here, on discord and telegram, links are available at
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octra HFHE is consumer-ready and doesn’t require GPUs or special hardware. it is optionally possible to encrypt the whole state of a circle (subnet, contract, account), doing so for ~16 kb of blockchain transaction data would take 0.01 seconds or less, with near zero latency.
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to answer it, since 2021 octra has been developing the universal, chain-agnostic cryptographic protocol. the approach is based on fully homomorphic encryption over hypergraphs (HFHE), which was created with distributed systems in mind, and is distinct from any existing solution.
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the network is written in pure OCaml, as well as C, C++ and ATS; several application languages will be supported through OCaml-WASM developed by partners at
@tarides_
, most notably Rust. developer documentation and templates will be released during testnet phase (Q4 2024).
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coupled with a custom consensus that utilizes ML for node selection and a combination of PoW and PoS, network becomes the ultimate stronghold for the safety of personal data. participants do not "know" the keys they hold, nor what they compute. keys are also updated every epoch.
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HFHE: Minimizing deviations in hypergraph matrices
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░M░Y░░K░E░Y░S░░I░N░░B░I░O░
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if only a secure & private internet was being actively developed by several teams with understanding of both complex math and culture / aesthetics
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we are so early
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hypergraphs and their application in cryptography are widely studied in the academic world, with more exciting contributions released later this year. you can now test and benchmark addition and subtraction in the HFHE-WASM sandbox, new functions are being continuously added.
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a sufficiently decentralized FHEncrypted p2p network with native ability to host data, backends and frontends would render these efforts useless
new internet should be like Tor 2.0, but faster and inherently tokenized
Heard today that there’s a good chance all EU national financial regulators will interpret DeFi frontends to require a MiCA license. This would make DeFi frontends on normal internet domains, as we know them today, impossible. Only fully decentralized, local, downloaded frontends
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We have started the work on our
#OCaml
implementation of BLAKE3, the fastest cryptographic hash function. Follow the development here:
Note it is highly experimental and is not advised to be used until a new proper announcement (ETA: Q1 2023).
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this allows a wide range of applications ranging from crypto-native (contracts, private data feeds and oracles, RWA tokenization, privacy-enhanced trading pools, private lending) to privacy-preserving financial compliance, handling medical records, private voting, ML and AI.
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octra is in final stages of development and mainnet is expected to launch some time next year. until then, the focus will be on papers, docs, testnet, sandbox, libraries for several ecosystems, as well as an upcoming bug bounty for devs and cryptographers with prizes up to $100k.
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octra's architecture is based on "circles", isolated execution environments best described in simple terms as a personal clouds with optional and programmable privacy. Within their circle, developers can build any complexity of backend logic for both web2 and web3 applications.
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an entire ethereum block (average 0.13 mb) would take less than 0.1 seconds to be homomorphically encrypted and decrypted. an average 1 mb
#bitcoin
block would take less than 1 second.
ahead of our wp & testnet release, we will show benchmarks for operations on encrypted data.
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privacy concerns around wearables and LLM agents are valid. a decently decentralized network with FHE solves this by allowing computations on encrypted data.
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cypherpunks assemble
if you tap to pay on base, whatever activity you're doing will be immutably visible to the entire world forever, and whoever is receiving your payment can view your entire financial state at any moment in time and all your activity in the past and future
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users will be able to use these products knowing that their data is stored in a *verifiably* secure & private way.
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developers will be able create their own isolated private contours within the octra network and build custom backends while inheriting its security and stability without trade-offs.
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