Episode 279: Intro to zkpod.ai with Anna and Kobi - a podcast by Fredrik Harrysson, Anna Rose

This week, Anna Rose (https://twitter.com/annarrose) and Kobi Gurkan (https://twitter.com/kobigurk) continue their conversation with a full episode dedicated to their new side project zkpod.ai (https://twitter.com/zkpodai) - the voice ai trained on transcripts from this show which uses both Anna and Kobi’s voices to share insights and answer questions about zk topics. They cover the origin of the project and discuss their motivations and concerns around its uses as well as how they could see the project developing and what this could mean for the field of zk. Kobi shares his thoughts on the current tooling available, where this could progress and potential limitations it holds.
Additional links mentioned in this episode:* zkpod.ai Website (https://zkpod.ai/)
* Anna Rose’s zkpod.ai Blog Post (https://hackmd.io/@Arrose/H1uPQ78gn)* Yohei Nakajima Twitter (https://twitter.com/yoheinakajima)
* LangChain Website (https://python.langchain.com/en/latest/)* Weaviate Website (https://weaviate.io/?utm_source=google&utm_medium=cpc&utm_campaign=18671086036&utm_content=145710453274&utm_term=vector%20based%20database&gclid=Cj0KCQjwj_ajBhCqARIsAA37s0zMQwc1jPKwWLGcjDnz2PdUGz4s387sd-bYeObjUx5SlY2oeu355F8aAk3xEALw_wcB)
* Anthropic Product ‘Claude’ (https://www.anthropic.com/index/introducing-claude)* Universal Paperclips: the game by Frank Lantz (https://www.decisionproblem.com/paperclips/index2.html)
* Large Language Models can be used to effectively scale Spear Phishing campaigns by Hazell (https://arxiv.org/pdf/2305.06972.pdf)* Creating Word Embeddings: Coding the Word2Vec Algorithm in Python using Deep Learning (https://towardsdatascience.com/creating-word-embeddings-coding-the-word2vec-algorithm-in-python-using-deep-learning-b337d0ba17a8)
Check out the ZK Jobs Board here: ZK Jobs (https://jobsboard.zeroknowledge.fm/). Find your next job working in ZK!Anoma’s (https://anoma.net/) first fractal instance, Namada (https://namada.net/), is launching soon!
Namada is a proof-of-stake L1 for interchain asset-agnostic privacy. Namada natively interoperates with fast-finality chains via IBC and with Ethereum via a trustless two-way bridge.For privacy, Namada deploys an upgraded version of the multi-asset shielded pool (MASP) circuit that allows all assets (fungible and non-fungible) to share a common shielded set – this removes the size limits of the anonymity set and provides the best privacy guarantees possible for every user in the multichain.
The MASP circuit's latest update enables shielded set rewards directly in the shielded set, a novel feature that funds privacy as a public good.Follow Namada on twitter @namada (https://twitter.com/namada) for more information and join the community on Discord discord.gg/namada (http://discord.gg/namada).
Zero-knowledge is changing the world and until now, building ZK applications meant learning new, chain-specific languages and complex cryptography. But no more!With SnarkyJS, the easiest to use zk SDK, developers can add the magic of zk to their apps using TypeScript!
Whether you're targeting Mina (https://minaprotocol.com/about), the leading zk-native blockchain, or off-chain applications, SnarkyJS (snarkyjs.o1labs.org) from O(1) Labs has you covered. With support for infinite recursion, in-browser proving, and so much more, the full power of zk is available to everyone.Visit snarkyjs.o1labs.org (snarkyjs.o1labs.org) to get started.
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