Liam

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Liam

Liam

@xliamren

Co-founder @morphic_lab Blockchain researcher. My research interests involve trustless system design, TEE, and cryptography.

เข้าร่วม Haziran 2017
185 กำลังติดตาม102 ผู้ติดตาม
Liam
Liam@xliamren·
There are always surprises using Antigravity.
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SooparAI
SooparAI@SooparAI·
Which blockchain do you associate me with?
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Liam
Liam@xliamren·
@_weidai The solution for chains at capacity could be better put as -> more chains. If a chain is architected as dynamically scaling by spawning/destroying new shards at capacity, The problem could be solved
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Wei Dai
Wei Dai@_weidai·
Blockchain designs have been flawed. What do cloud services do when they are at capacity? → Raise capacity What do chains do when they are at capacity? → Raise fees If you think we don't need better chains anymore think again.
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Liam
Liam@xliamren·
How do you show that your system is better than local AI guardrails (rate limits, gateway, oversight)?
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Alvaro Cintas
Alvaro Cintas@dr_cintas·
What a crazy week in AI 🤯 - OpenAI’s Codex - Google Coding Agent - Windsurf SWE-1 models - Notion’s new AI for work - Tencent Multimodal Video - ChatGPT 4.1 & PDF Exports - Meta Collaborative Reasoner - ElevenLabs Infinite Soundboard Here’s EVERYTHING you need to know:
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Liam
Liam@xliamren·
“In roughly 75% of cases, it rediscovered state-of-the-art solutions... And in 20% of cases, AlphaEvolve improved the previously best known solutions.” deepmind.google/discover/blog/… Just 6-7 years ago, dynamic analysis research of software engineering relied on hand-crafted test cases and mutation operators to iteratively fuzz code for finding bugs. Today, LLM-based agents are transforming the very goals and methods of research, actively driving breakthroughs in science itself.
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Liam
Liam@xliamren·
@_weidai Is there any add-up compared with Zether? A lower gas fee or better programmability?
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Wei Dai
Wei Dai@_weidai·
Very cool to see confidential tokens on Solana! Couple of remarks: 1. The system offers confidentiality but not anonymity. The transferred amounts are hidden but the transaction graph is fully traceable. While this is not the best privacy guarantees, it does mean hackers are less likely to utilize it to launder funds. The properties offered here are very similar to that of confidential ERC20 by @inconetwork, @circle , & @zama_fhe, minus the programmability offered by FHE (which provides onchain range checks for example). 2. The system is (basically) an implementation of an academic system called Zether (see next remark). Balances are encrypted to receiver's public key using ElGamal encryption. Bulletproofs are used to prove that transactions are not overspending (a range proof). (So it actually uses ZK but not succinctness, the opposite of how ZK is used in rollups.) Incoming transfers are accumulated onchain and added to encrypted balances (which is triggered explicitly to avoid stale range proofs), both utilizing the additively homomorphic property of ElGamal. 3. It's a shame that zero credit is given to the original inventors underlying confidential transaction system. The underlying system, called Zether, was first described in a 2019 paper named "Zether: Towards Privacy in a Smart Contract World" by @benediktbuenz, @sha2nk_, Mahdi Zamani, and @danboneh. (Odd that they do cite a paper that describes an optimization to Zether which they also implement.)
Solana Developers@solana_devs

Introducing Confidential Balances Token Extensions 🛡️ Confidential Balances are now live on Solana mainnet — the first ZK-powered encrypted token standard built for institutional compliance without sacrificing sub-second finality. Everything devs need to know 🧵

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Wenfeng Wang
Wenfeng Wang@tolak_eth·
You may not the target audience of this post as an expert, but many others are. Here is the anwser of "What's the difference between #TEE and #ZKP"
Wenfeng Wang tweet media
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Hang Yin
Hang Yin@bgmshana·
One more TEE-pilled guy ❤️ tldr: TEE loves ZK - TEE doesn't replace ZK - TEE enables private ZK-proving outsourcing - You get best security with ZK and privacy with TEE
Kautuk | Conscious Engines@Kautukkundan

Had been diving deeper into TEEs for a project (more about the project below). I was pretty pessimistic about them until I started looking at them from an application perspective. The initial skepticism came from the earlier hype and people claiming it to be a silver bullet for all purposes and the fact that "they can replace ZKPs" while obvious trust assumptions and attack vectors existed. TEEs aren't the magical solution some marketing suggests, but they do solve real problems in practical ways. The key is understanding what TEEs actually deliver vs. promise. They don't eliminate trust — they shift it to a more centralized authority in exchange for some practical benefits through isolation, specifically privacy (and probably it's extent should stay there). Bottom line: TEE work best when those limitations are acknowledged and when combined with other security approaches. Good for solving today's problems while we work on more robust cryptographic solutions. ---- Right now I am kinda working on a setup for private proving. The problem: ZK proving is computationally intensive and often impractical on consumer devices, but outsourcing proving exposes sensitive user data to third parties. This is particularly valuable for zkTLS systems, where protecting user data during the proving process is essential. Fusing TEEs with zkVMs forms a powerful hybrid solution: - zkVMs handle the validity guarantees - TEEs provide the practical confidentiality layer, protecting sensitive data Together, they create a system that's both mathematically verifiable and pragmatically private. Let's see where this endeavour goes. --- Planning to write a longer form of this post separately (as if this isn't long enough hah). Meanwhile, here's a thread of resources I found useful for my research 🧵

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Validatus.com
Validatus.com@stakeingermany·
@xliamren A shoutout to @SecretNetwork would be well deserved 🔐 With TEE-powered private smart contracts and encrypted execution, it's helping build the foundation for secure, decentralized, and privacy-preserving AI.
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Liam
Liam@xliamren·
In the next 5 years, TEE is the only path to making AI a public accessible good—not through compromise, but by enhancing its true power. Transforming confidentiality and decentralization into tangible benefits like - lower costs - better security - Abundant data and compute. This is the promise of TEE, and the vision of us and peers. Shout out to pioneers @ilblackdragon @NEARProtocol @PhalaNetwork
Illia (root.near) (🇺🇦, ⋈)@ilblackdragon

Here are some comparisons of potential approaches we explored – we are working with TEE because it offers both verifiability and confidentiality properties with minimal overhead. (Shout out to @phalanetwork!)

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Autonomys Labs | AI3.0
Autonomys Labs | AI3.0@AutonomysLabs·
🤖 NEW Auto Agents Framework Release v0.4.0! ✨ Highlights: • Redesigned orchestrator agent task scheduler • Introduced new Agent API server • Introduced new Web CLI interface • Improved agent workflow and contracts • Added new integrations: a. EVM b. GitHub c. Notion d. Slack e. ArXiv and vector database search + more 🔍 Full details: github.com/autonomys/auto…
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Liam
Liam@xliamren·
A short clarification about two buzz words: Privacy vs. Confidentiality: - Privacy is essentially a business and product term. It's about the demand of users to specify some of their personal data as privacy and expect to confide the data against others. - Confidentiality is essentially a technical term. It's about the ability and technology to ensure specified data isn't accessed or disclosed without authorization. In other words, the tech of confidentiality is usually used to realize the demand for privacy. #Privacy #Confidentiality #DataPrivacy
GIF
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Liam
Liam@xliamren·
Rust would be even more popular in the future. A 'ruthless' compiler is annoying for human coders but is luck for AI-generated code. As AI takes over coding, Rust is in a very important position to make it safe in the first place.
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Liam
Liam@xliamren·
@jasminervaa 👍心流出积累、满足和创新
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Jasmine
Jasmine@jasminervaa·
少听KOL讲方向,卖惨,博眼球 去健身 看书 去学习 跟builder聊天 陪伴家人 每一件事都专心致志的做才能感受到心流 我们的一生不是被赚到a8,9,10衡量的,而是去做自己想做的事,吃好喝好心情好
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Andrew Miller
Andrew Miller@socrates1024·
50 lines for a tor onion service in a confidential container. You can serve a TEE-based decentralized frontend without having to reveal the TEE's IP address github.com/Dstack-TEE/dst…
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Liam
Liam@xliamren·
I prefer the social consensus engine. While, of course, a good system is a combination, and neutral mechanisms (like contract rules and even AI) may operate for most cases, there is still a fundamental motivation: we create neutral systems for serving community more fairly and efficiently instead of the system itself.
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