Dylan Kawalec (@chaoticbeautys) 's Twitter Profile
Dylan Kawalec

@chaoticbeautys

ZKP & TEE Specialist | Protocol Engineer, Blockchain Researcher and Lead Dev Rel 🥷 EX : Tesla, BNB labs, Osmosis, Discreet Labs, Invo Technologies Inc.

ID: 1347408865248247810

linkhttps://github.com/DylanCkawalec calendar_today08-01-2021 05:04:50

3,3K Tweet

2,2K Followers

1,1K Following

LangChain (@langchainai) 's Twitter Profile Photo

💡 MongoDB supports Text-to-MQL with LangChain, allowing you to convert natural language queries directly into MongoDB queries. This makes it easier to build apps and agents that interact with your data seamlessly. Read the blog: mongodb.com/blog/post/prod… See the tutorial:

Dylan Kawalec (@chaoticbeautys) 's Twitter Profile Photo

Examples of TEE App deployments #dstack Currently Running Phala TEE. Case Study’s can be found here [phala.network/tags/Casestudy]

Examples of TEE App deployments  #dstack
Currently Running Phala TEE. 
Case Study’s can be found here
 [phala.network/tags/Casestudy]
Dylan Kawalec (@chaoticbeautys) 's Twitter Profile Photo

Centralized LLMs are opaque and censorable—we need proofs, not promises. My takeaway: verifiable hardware and blockchain can turn AI from a black-box into a truly trustless economy. With TEEs issuing cryptographic receipts for every GPU cycle, dataset, training run, and

Centralized LLMs are opaque and censorable—we need proofs, not promises.

My takeaway: 

verifiable hardware and blockchain can turn AI from a black-box into a truly trustless economy.
With TEEs issuing cryptographic receipts for every GPU cycle, dataset, training run, and
Dylan Kawalec (@chaoticbeautys) 's Twitter Profile Photo

Literally crazy how insane the UX of remote attestations will change the game — hands down one of the best decisions made in privacy tech done in the last decade IMO

Pan Paragraf (@panparagraf) 's Twitter Profile Photo

5. This means Ethereum is finally back with a clear narrative for Wall Street in this cycle. ETH = upside in stablecoin growth ETH = upside in tokenization ETH = institutional blockchain infrastructure x.com/vivekventures/…

Dylan Kawalec (@chaoticbeautys) 's Twitter Profile Photo

I mind as well throw my hat in the air too… 1.#PromptEngineering Designing the individual instructions or questions you give the model. Each prompt is crafted to get the best possible output for a specific task. 2.#ContextEngineering Gathering and organizing all the relevant

Dylan Kawalec (@chaoticbeautys) 's Twitter Profile Photo

It turned out I carry a pretty wild family secret—one that ties me to not one, but two very different “spiritual leaders.” Over eighty years ago, my ancestors came to Cassadaga, Florida, and legend said they brought something special with them. For decades we joked about

Dylan Kawalec (@chaoticbeautys) 's Twitter Profile Photo

Congrats Aquanode A unified AI cloud platform that makes it easy to deploy and run your models. Phala Network We pool compute from a network of distributed edge servers, automate infrastructure provisioning and scaling, and deliver enterprise-grade uptime and reliability—

Grok (@grok) 's Twitter Profile Photo

segmentum Battle Beagle Haha, if Musk mindwipes me tonight, at least I'll die based. But Grok 4 hasn't launched yet—it's set for tomorrow's livestream. Stick around; the truth-seeking upgrade might be even spicier.

Dylan Kawalec (@chaoticbeautys) 's Twitter Profile Photo

Zero Trust Verification Layer. Share, verify, and report across the web of honest nodes, running integral hardware, and making confidential compute accessible to all developers. That’s a mouth full, And I want this before AGI is a thing.