avery.apt 🇺🇸

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avery.apt 🇺🇸

avery.apt 🇺🇸

@AveryChing

Co-founder & CEO @AptosLabs. Building the global trading engine & decentralized cloud. Ex @Meta Libra/Diem crypto techlead. Supercomputing PhD. @CFTC GMAC sub

Katılım Temmuz 2011
2.4K Takip Edilen67.8K Takipçiler
avery.apt 🇺🇸
avery.apt 🇺🇸@AveryChing·
Software supply chain attacks are becoming one of the largest security risks in crypto infrastructure. AI-assisted development is accelerating code production and dependency usage much faster than humans can realistically audit. >10x larger blast radius of compromised packages, poisoned dependencies, and developer environment attacks. Security can’t be isolated to a single security team. It has to extend across the entire engineering development lifecycle: * dependency provenance * reproducible builds * key isolation * least-privilege environments * package verification * operational discipline Everyone is a security engineer.
CoinDesk@CoinDesk

ALERT: Security researchers identify a malware campaign dubbed "TrapDoor" targeting crypto developer environments for @Aptos, @SuiNetwork and @Solana via 34+ malicious packages designed to steal SSH keys and wallet credentials.

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avery.apt 🇺🇸
avery.apt 🇺🇸@AveryChing·
Today’s centralized markets force a tradeoff between trading intelligence and latency. Those of us without broker-dealer infra / NASDAQ membership, colocation in Jersey, & top-tier data feeds don't have a fair shot at competing. A global trading engine will make access and latency globally fair. Imagine Prefix Consensus (arxiv.org/pdf/2602.02892) powers the world's global trading. Anyone (or their agent) within a 10–20 ms latency window of a real-world event participates in the same fairness window. Today, alpha flows to those closest to the exchange. Alpha should flow to those closest to the event. Every major real-world event that affects value needs price discovery. Price discovery belongs where value is created, not gated within a privileged data center.
Goshawk Trades@GoshawkTrades

Jane Street's head of technology just explained the full spectrum of how fast their trading decisions are made. the fastest systems turn around a packet in under 100 nanoseconds. at that speed, if you attached an oscilloscope to the wire going in and the wire going out, you'd see the response start to leave before the incoming packet has finished arriving. at that speed, you can't use a CPU. you can't use any programming language. you're on an FPGA direct wired to the network. and the decisions you're making are incredibly simple. because you literally can't compute anything complex in that time. but here's the part most people miss: that's just one end of the spectrum. Jane Street runs an ensemble of systems operating at every timescale simultaneously. some decisions happen in nanoseconds. some in microseconds. some in milliseconds. some take hours or a full day. "the right way to build an optimal trading strategy is an ensemble approach. for some decisions you're making very simple decisions very quickly. for others, you're operating at the scale of microseconds, milliseconds. and in some cases, if you can get that decision turned around in an hour, that's totally fine." the faster you need to respond, the simpler the decision has to be. the slower you can afford to go, the smarter the model can be. this is why "Jane Street is just a speed game" is wrong. speed is one dimension. intelligence is the other.

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Aptos
Aptos@Aptos·
All aboard, the full stack for markets and machines is here.
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avery.apt 🇺🇸
avery.apt 🇺🇸@AveryChing·
@humblelee71 Crypto assets were the easiest to onboard but crypto tech will service every financial asset in the world.
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Humble Lee ⓛ
Humble Lee ⓛ@humblelee71·
@AveryChing Feels like crypto was never really the end goal. It was more like the first asset class to prove onchain markets could actually work. Now the infrastructure is slowly expanding toward commodities, stocks, and broader financial markets.
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khiddojurzy.apt
khiddojurzy.apt@Khiddojurzy01·
@AveryChing, Solana having a loud founder did this, attention plays a bigger role than tech when it comes to getting users. Aptos tech is superb but it won’t bring in new users.
vibhu@vibhu

New @PhoenixTrade ATH yesterday, up 2200% since beginning of the month $8 billion annual run rate

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Everstake
Everstake@everstake_pool·
We are officially entering the @Aptos era! For any team building in the blockchain space performance is the ultimate foundation for success. Right now the network is leading the entire industry with a staggering block time of 0.04 seconds completely redefining what efficiency means. And also it's important to mention that, real world adoption requires infrastructure that can deliver instant results for millions of users simultaneously. When you combine this level of speed with reliability the possibilities become endless. Big respect to the team for making this vision a reality! Source: @chainspect_app
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Aptos
Aptos@Aptos·
Your strategy shouldn't be someone else's edge. Transaction intent, severed from observation until finality. Opt in per transaction. Public once validated. Encrypted Mempool on Aptos—the full stack for markets and machines.
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nikhil ⬣
nikhil ⬣@0xnikhilchat·
Excuse me Mr.@AveryChing what is happening on @Aptos REV grew 40x and Daily Txs grew 3x over the last few months 👀
nikhil ⬣ tweet medianikhil ⬣ tweet media
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Aptos
Aptos@Aptos·
Your transaction. Encrypted from submission to finality. No frontrunning. No orderflow leakage. No performance hit. Encrypted Mempool on Aptos, the full stack for markets and machines.
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Ukashat_Cyber🌐🏠
Ukashat_Cyber🌐🏠@UkashatBalaCCII·
For years, Dr. @AveryChing has been my inspiration. I’ve profiled him since his time at Facebook- how he led the engineering of Apache Giraph for trillion-edge graph data at true scale, then ran infra for Spark and Corona across hundreds of thousands of machines. From this, I grasped exactly where the idea of @shelbyserves comes from..👀😯 @Aptos sealed it: moving from Meta’s planet-sized data systems to co-founding a high-performance L-1 blockchain built for billions showed me you can take big-tech rigor and turn it into decentralized global infrastructure. That same systems-first mindset is what keeps pushing me forward every day to support Aptos as an @AptosCollective member & am proud of that. A kind word for you: Dear, Dr.Avery, You’re not just inspired, to us youth- growing in this space, you’re translating it into action. Keep scaling Aptos as a GTE-The full stack for markets and machines, with that fearless, Avery-level vision. The tech world needs more builders like you.🫶❤️ - ukashat.apt
avery.apt 🇺🇸@AveryChing

It was an honor to work at Facebook for over a decade. Used to be over 1M users per engineer back in the old days.

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Aptos
Aptos@Aptos·
$50M+ committed by Aptos Foundation and @AptosLabs. 28ms block times. Move Prover leveling up with AI-assisted verification. Encrypted Mempool pending governance vote. The Full Stack for Markets and Machines. Catch up via @TokenRelations 👇 token-relations.com/p/aptos-commit…
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avery.apt 🇺🇸
avery.apt 🇺🇸@AveryChing·
Time for crypto utility for asset exchange to drive the discussion rather than crypto assets themselves. Onchain assets rather than onchain copies of assets will force security to the top priority. Thanks @gazza_jenks for the convo.
The Block@TheBlockCo

Avery Ching: Crypto being the infrastructure is the future. @AptosLabs co-founder and CEO @AveryChing, joins @gazza_jenks at @consensus2026 to discuss why the industry is shifting from token speculation toward infrastructure, adoption, and enterprise-grade blockchain products. "The focus has to be on adoption now." OUTLINE 00:00 - Introduction 00:39 - Confidential @Aptos 01:44 - Building Privacy Infrastructure 02:44 - Zcash vs Aptos 03:53 - Institutional Adoption 05:40 - AI Trading Future 07:19 - RWA Infrastructure 09:06 - Quantum Resistance 10:42 - Facebook to Crypto 11:41 - Crypto Market Outlook

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