H@H: AtB Ep 5 – Electrical Engineering & Computer Science (EECS) and Senior Product manager from Blockchain @ Berkeley James Dai chats with hosts Paulina Lee and Paul Bryzek and shares his blockchain expertise as a seasoned blockchain developer. His diverse experiences and collaboration with The Berkeley Center for Responsible, Decentralized Intelligence (RDI), in collaboration with Professor Dawn Song, led him to identify the need for reliable content authenticity on the web, and has started his own project and is recruiting co-founders. If interested feel free to email James at jamesmdai@berkeley.edu

FakeNet AI – Detects synthetic (fake) media to protect users against attacks.

Automated Market Maker (AMM) – Definition

What is DAI? Description of MakerDAO and its cryptocurrency DAI.

 On Automated Market Makers (AMMs)

“That basically allows you to take a token and then convert it to different tokens. So, if I take an Ethereum, I can convert it to Dai or vice versa. This AMM is really just a way to decentralize what is existing today as a traditional market maker.”

 On the Problem with Misinformation today

“And so, I think we can all agree, misinformation is an issue today. How we're currently trying to solve it as rather algorithmic. Facebook, AI, created this deep fake detection challenge. And the best state of the art models can only accurately classify 65% correctly.”

 On Transparency of Legal Contracts on a Blockchain

“So, you could basically make it where all the contracts are put on the blockchain as well, along with all the transaction flow. And so, you can follow legal entities on a blockchain throughout. And then track all their transactions.”

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