The Stack Overflow Podcast9 Nov 2022

Hashgraph: The sustainable alternative to blockchain

When most people talk about Web3 or cryptocurrencies and related technologies, they usually mean blockchains. But blockchain is only the first generation of distributed ledger technology (DLT). As with any new technology, once people see how it works, new generations come along rapidly to address the faults in the previous ones.

On this sponsored episode of the podcast, Ben and Ryan chat with Matt Woodward, head of developer relations at Swirlds Labs. Swirlds Labs created the Hedera ecosystem, a DLT built on a hashgraph, not a blockchain. We chat about what the difference is between a blockchain and a hashgraph, Hedera’s focus on environmental sustainability, and why the Web3 version of “Hello, World!” takes a little more effort.

Show notes

Hedera’s hashgraph is a third-generation DLT: it’s an open-source consensus algorithm and a data structure that uses a direct acyclic graph and two novel inventions, the gossip about gossip protocol and virtual voting.

Where Bitcoin can only handle between three and seven transactions per second, a hashgraph can support upwards of 10,000.

There’s been a lot of talk about the environmental impact of cryptocurrencies. Woodward says that a single Bitcoin transaction uses 1000kW-hours—the equivalent of driving a Tesla Model S 5,500 km—while Hedera uses 160 MW-hours of energy per year, about 2.5 million times less.

Congrats to the winner of a Stellar Question badge, g.revolution, for their question What is an anti-pattern? 100 users saved it for later.

Find out more about Hedera and hit the start button.

Connect with Matt, Ben, or Ryan on Twitter.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Det här avsnittet är hämtat från ett öppet RSS-flöde och publiceras inte av Podme. Det kan innehålla reklam.

Avsnitt(983)

AI, JD, and other letters of the law

Ryan chats with Kevin Frazier, director of the AI Innovation and Law program at the University of Texas School of Law, about the legal and social impacts of data centers, the realities of workforce di...

15 Sep 38min

AI cybersecurity is a cat and mouse game

Ryan chats with Sam Curry, CSO at Zscaler, about where human intelligence sits in the new security landscape with AI, why shifting security protections closer to applications helps limit probes for vu...

11 Sep 27min

Java’s age is its AI superpower

SPONSORED BY IBMRyan welcomes Markus Eisele to the program to talk about why your coding agent should be writing Java. They talk about why the long history of Java both makes for a stable language and...

9 Sep 35min

Scaling your money safely with AI

Episode notes: This episode with Paypal’s CTO Srini Venkatesan was recorded at the Ai4 conference. Listen to our other Ai4 conversation with Greg Jennings, VP of Engineering for AI Products at Anacond...

8 Sep 28min

How to build a secure-by-default AI coding agent

Ryan chats with Greg Jennings, VP of Engineering for AI Products at Anaconda, about what it takes to build a secure-by-default AI coding agent, why prompts shouldn't be treated as strict security guar...

4 Sep 32min

The good ol’ days of building Java

Ryan sits down with Tim Lindholm, an early contributor to the Java language at Sun Microsystems, to chat about what it was like building one of the most popular programming languages ever at its incep...

1 Sep 30min

When you keep AI Lean, you keep AI correct

Ryan chats with Leo de Moura, Senior Principal Applied Scientist at AWS and the creator of the Lean language, about proving correctness in AI agents with the Lean language, how automated reasoning com...

28 Aug 25min

Inside LinkedIn's cognitive memory agent for agentic personalization

Ryan is joined by Praveen Bodigutla, Principal AI Researcher at LinkedIn, to chat about the four-layer memory system his team built to give LinkedIn's hiring assistant a persistent, personalized state...

25 Aug 32min