Manuel @CodeNameBnji

🚨🚨🎙️| Lionel Messi: “The peace of mind of having achieved everything at a professional and sporting level changed everything for me. I feel so good.” [@abf_forum]

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How life feels when you realize you can just do things

Gm guys!!

Gm / Gm

Gm Ct!!

@chinkinss Thanks ser…you too

GM CT!!

@NiphermeDave Yes sir

GM CT

@0xFaga @gensynai study gensynai 👨‍💻

how gensyn makes ai trustless (without wasting power) imagine training a huge ai model, one that paints pictures or predicts stocks, using random computers around the world. sounds risky, right? how do you know those machines actually did the work? that’s what @gensynai solves. it’s a decentralized network for ai compute that verifies work without making everyone redo it. instead of wasteful duplication, gensyn uses three clever tools: • probabilistic proof of learning • graph based pinpointing • truebit style incentives the problem: ai training builds layer by layer. mess up one, and the whole model collapses. centralized systems like aws handle this easily because they’re trusted. but in gensyn’s open network, anyone can join as a solver (does the work), verifier (checks), or whistleblower (challenges). traditional blockchains would re run everything to verify results. gensyn doesn’t. it checks just enough to prove honesty, making it over 1,350% more efficient than old systems. > proof of learning: instead of redoing full training, solvers save checkpoints, mini snapshots of their progress. verifiers only re run small parts and compare results. if they’re within range, the work’s valid. it’s like auditing a few invoices instead of checking every dollar. this keeps things fast, fair, and trustworthy. > graph pinpointing: if something looks off, gensyn zooms in like a heat map. it isolates the exact operation causing the issue and runs just that on chain. no need to repeat the entire job, just fix the faulty line. > truebit incentives: everyone stakes tokens. do good work? get paid. cheat or skip steps? lose your stake. whistleblowers earn for catching cheats. it keeps everyone honest and the system self balancing. combine these three and you get a fast, secure, and affordable ai network. gensyn’s tests show 46% overhead versus local runs, but still 1,350% faster than replication based systems, and about 80% cheaper than aws. this isn’t just clever engineering, it’s how ai becomes open, fair, and truly trustless.

@lonewollf_x Real😂

@alexabelonix Gm Alexa!! You too 🧡🧡

Gm Gm bros

@ayobami_al Gm ser!

GM CT Guess who is back??

just got promoted to the l3 role on the @SentientAGI discord as an educator, and i’m not slowing down, my next target is the “early agi” role. and week 16’s new direction is the perfect time to step up. sentient has officially shifted the educator program into a community-led format this week. instead of following fixed weekly prompts, we now have the freedom and responsibility to lead the conversations ourselves, especially through x spaces. what i’ll be doing: 1. hosting or co-hosting an x space about sentient’s mission — topics like the grid, roma, decentralization, open-source agi, and community innovation. 2. collaborating with other educators across regions to make the conversations bigger and more inclusive. 3. sharing takeaways or recordings after the session and tagging @SentientAGI to amplify the reach. no spam. no farming. no fluff. just real conversations that reflect what sentient stands for. if you want to co-host or join the space i’ll be running this coming week, let me know. 🙏

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fhe vs traditional encryption traditional encryption is great at locking up data when it’s stored or sent. but here’s the catch, the moment you need to use that data (say, run analytics or queries) you have to decrypt it. that creates a window where your info is exposed. that’s different with fhe. instead of unlocking the data, it lets you compute directly on the encrypted version. here are some key differences: ~ traditional → data is safe at rest/in transit, but exposed during processing. ~ fhe → data stays encrypted end-to-end, even while being computed on. ~ performance → traditional encryption is blazing fast; fhe is still resource-heavy but improving. ~ use cases → traditional encryption for everyday security (https, vpn), while fhe for privacy-first apps like medical research, encrypted databases, or private smart contracts on blockchain. so why’s it a big deal? fhe enables confidential computing; a world where sensitive data can be processed in the cloud or on-chain without anyone ever seeing it. think, defi apps calculating interest on encrypted balances, or researchers analyzing encrypted medical records without exposing patient data. yeah, it’s not mainstream yet (performance is the bottleneck), but projects like @zama_fhe are pushing it closer.

@ayobami_al @SentientAGI gSenti 🚀🚀

5/5 Why It Matters to You Whether you’re a crypto newbie or a dev, Drosera’s making Ethereum feel less like the Wild West. Their Traps could protect billions in assets—or even power your next trading bot or game. Cool, right? Follow @DroseraNetwork on X to join the vibe. They’re building Ethereum’s shield, one Trap at a time. What do you think—ready for a safer blockchain?

4/5 The Plan? With $4.75M, Drosera’s speeding up. They’re testing Traps with 25+ protocols (like EtherFi), hiring brainy coders, and aiming for a mainnet launch by mid-2025. Picture this: a safer Ethereum where your DeFi trades or NFT buys don’t keep you up at night.

Why @DroseraNetwork's $4.75M Raise Is a Big Deal?? 🧵 1/5 Imagine Ethereum as a bustling city full of DeFi apps and NFTs, but with hackers lurking in the shadows Drosera Network is like the city's new security system, and they just raised $4.75M to make it bulletproof!