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essie
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essie retweetledi

Hiring alert!!
Hiring a growth marketing intern.
We're an early-stage Web3 prediction market, and I'm looking for someone to work directly with me on growth.
What you'll do:
• Run growth experiments end-to-end
• Help shape our presence across various SM Twitter, Farcaster, and beyond
• Talk to users, dig into the data, and share what's working
• Ship fast, learn faster
What I'm looking for:
• Genuine interest in crypto, prediction markets, or internet culture
• Strong writing and a sharp eye for what resonates
• Comfortable with ambiguity and moving quickly
• Bias toward action over polish This is a hands-on role with a steep learning curve
. You'll own real work and see the impact of it.
If you're interested, drop a comment or DM me.
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essie retweetledi

This morning, THORChain was drained of roughly $10.8m
Node operators have freezed the network for nearly 13 hours. The full analysis isn't out yet, but according to @jpthor, this could be a MPC exploit.
ECDSA and TSS is hard. THORChain's vaults rely on TSS, a flavor of MPC where a quorum of nodes jointly produces a signature without ever reconstructing the private key. Clean for Schnorr or EdDSA; painful for ECDSA, which Bitcoin and Ethereum require. That's why we saw plenty of protocol attempts (Lindell17, GG18, GG20, CMP, CGGMP21, DKLS, KU23...), each patching flaws in the previous one.
GG20 has a track record. THORChain's TSS uses GG20, on a fork of Binance's tss-lib. GG20 has shipped two well-publicized critical bugs: CVE-2023-33241 and TSSHOCK. CGGMP21, now cggmp24, are the latest protocols, but GG20 is still widely deployed.
I often hear a misconception when I hear about MPC setup: "The key is split across many nodes, so any single co-signer doesn't really matter".
In every published GG18/GG20 attack, one malicious or compromised co-signer is enough to extract everyone else's shard and reconstruct the full key.
AI changes the threat model. Compromising a full software node, complex Go stack, exposed P2P, custom signing daemons, a churn protocol that admits new participants on a schedule, has always been difficult and acted as a barrier. With LLM-driven vulnerability discovery and exploit synthesis, the bar to compromise one of N validators is dropping fast.
Here, it's a plausible TSSHOCK-style playbook:
- compromise one operator
- wait for it to churn into an active Asgard vault
- send malformed proofs during keygen or signing
- reconstruct the key offline
- sweep in a single transaction
It's unclear yet if the attacker used a known-unpatched GG20 weakness, or a fresh cryptographic flaw.
But, in all cases, MPC and TSS are not a substitute for hardening every co-signer. They sit on top of co-signers that must each be treated as critical infrastructure, hardware-isolated enclaves, minimally exposed, continuously audited, and running protocol with security proofs.
While the investigation progresses, be careful in your interactions onchain. These TSS setup are used in various protocols.
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AI agent standards are being written right now. ⚠️
Zenity joined CoSAI with Microsoft, Google, NVIDIA to shape how enterprises secure agents.
Wait for standards to settle? You’re already behind.
👉 Read more: eu1.hubs.ly/H0v0jfz0
#AIAgentSecurity #AgenticSecurity #AISecurity

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essie retweetledi
essie retweetledi

Who should apply for PyCon Portugal grants?
– Students
– Early-career devs
– Contributors
– Anyone needing financial support
If cost is a barrier, this is for you.
Apply here forms.gle/1tUHsVu8LeEyWz… 💛

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essie retweetledi

We're looking for a RUST developer to join the @BitsaveProtocol team.
We're currently raising our Pre-Seed, so we can't discuss salary terms for at least 2 months.
We need a RUST developer so we can deploy @BitsaveProtocol contracts on @solana
Our Blockchain devs are native to EVM so it's been quite a challenge doing integration.
So if you would like to join us or know someone who might be interested, please tag them here.
Thank you.
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essie retweetledi

YOU JUST CONNECT CLAUDE CODE WITH NOTEBOOKLM AND IT EXTENDS YOUR SESSIONS BY SAVING YOUR TOKENS.
NOW GO & BUILD!
hoeem@hooeem
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essie retweetledi

essie retweetledi

ZKP applications
zkML
Prove an ML model ran correctly without revealing the model or input
zkEVM
Prove Ethereum transactions executed correctly L1 verifies instead of re-executing
zkBridge
Replace multisig validator sets with cryptographic proof for cross-chain messaging
zkID
Prove you're human, over 18, or KYC-verified without revealing raw identity data
zkCoprocessor
Let smart contracts query and compute over historical on-chain data with ZK proofs
zkStorage
Private smart contract state on public chains balances, votes, positions stay hidden
zkEmail
Prove you received an email from a specific domain without revealing its contents
zkTLS
Prove any HTTPS response came from a specific server and bring it on-chain verifiably
zkVoting
Private, verifiable on-chain voting no vote ever linkable to any voter
zkML = private AI
zkEVM = scalable execution
zkBridge = trustless interop
zkID = self-sovereign identity
zkCoprocessor = historical state queries
zkStorage = private on-chain state
zkEmail = off-chain identity on-chain
zkTLS = web2 data on-chain
zkVoting = anonymous verifiable governance
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essie retweetledi

🚨 Tutors charge $50/hour. Coursera charges $50/month. Someone built an AI that uploads your textbooks and becomes a personal tutor that never sleeps. 10,300 GitHub stars. Free.
It's called DeepTutor.
An AI-powered learning assistant that reads your textbooks, research papers, and documents. Then teaches you from them. Personally.
Not a chatbot. Not a search engine. A full multi-agent tutoring system that solves problems step by step, generates practice exams, creates visual explanations, and conducts deep research. All from YOUR materials.
Here's what this system does:
→ Upload textbooks, papers, technical docs. It builds a knowledge base from YOUR content.
→ Ask any question. AI answers with step-by-step solutions and citations from your materials.
→ Generates quizzes and practice problems matched to your level
→ Upload a real exam. It creates practice questions that mimic the exact style and difficulty.
→ Deep Research mode: decomposes topics, dispatches parallel agents, produces cited reports
→ Guided Learning: turns your materials into visual, interactive learning paths
→ AI Co-Writer: markdown editor where AI helps you write, rewrite, and expand
→ Personal TutorBots: autonomous tutors with their own memory, personality, and workspace
Here's the wildest part:
TutorBots are not chatbots. They're autonomous agents with soul files that define their personality. Create a Socratic math tutor. A patient writing coach. A rigorous research advisor. All running simultaneously. Each with its own memory. Each evolving as you learn.
They even have a heartbeat system. Your tutor shows up with study reminders and review check-ins. Even when you don't ask.
An AI tutor that initiates. That remembers. That adapts. That never bills you.
Private tutors: $50 to $100/hour. Coursera: $50/month. Chegg: $15/month. University tuition: $20,000+ per year.
This is free. Self-hosted. Your data stays on your machine.
10.3K GitHub stars. 1.4K forks. Built by HKU Data Intelligence Lab. AGPL-3.0 License.
100% Open Source.

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essie retweetledi

"Claude usage limit reached. Your limit will reset at 7pm"
every. fucking. day.
was about to pay $200 for Max. then I read this article
98.5% of tokens - wasted
you're not paying for answers. you're paying for Claude to re-read its own homework 30 times
spent months blaming Anthropic for being greedy. turns out the problem was how I write prompts
5 minutes of reading
basic plan now handles more than my old Max
kaize@0x_kaize
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