"Bitcoin Stacks and LLMs" IEEE OCCS & OC ACM Mtg

#LargeLanguageModels #LLMs #LLMGeneratingHuman-qualityCode #LLMsWriingCodeRequireTheDevelopmentOfRigorousProcesses #DApps #LLMsUsedToWriteBlockchainCode #LLMsUsedToGenerateSmartContracts #LLMsUsedToGenerateCodeForDecentralizedApplications(DApps) #LLMsUsedToAutomateTransactionsOnBlockchains #LLMsToImproveQualityAndProductivityInDevelopment #LLMsUsedToOptimizeTheProcessOfWritingCode #LLMsToImproveTheProvenanceOfDataForAI #LLMsImplicationsForTrainingWhileAssistingCodeDevelopment
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Event Details  

Full Title: "The synergy between blockchain technology and AI usage for creating domain specific software development processes"

One of the most exciting opportunities at the intersection of AI and blockchain is the use of large language models (LLMs) to write code. We're discovering that LLMs have tremendous potential in generating human-quality code and require the development of rigorous processes to use systems such as Open AI to create high-quality software.

LLMs can be used to write blockchain code in a number of ways. For example, they can be used to generate smart contracts, which are self-executing contracts that can be used to automate transactions on a blockchain. LLMs can also be used to generate code for decentralized applications (DApps), which are applications that run on a blockchain. We're focusing on the development of application and smart contract code for Really Good Bitcoin and Solidity.

The use of LLMs to write blockchain code has several potential benefits. It can help to improve the quality and productivity in the development. Second, it can make it easier for new developers to better understand blockchain development and distributed computing. Third, it can help to accelerate the development of innovative and novel blockchain applications.

The technical talk will focus on the following topics:

* The synergy between blockchain technology and AI usage for creating domain-specific software development processes.
* How LLMs can be used to write blockchain code
* The benefits of using LLMs to write blockchain code and to optimize the process of writing code.
* How blockchain technology can be used to improve the provenance of data for AI and the implications for training and inference.
* Examples of real-world applications that are leveraging the intersection of these emerging technologies.

The talk will interest developers, researchers, and entrepreneurs interested in learning more about the intersection of AI and blockchain technology.

About the Speaker Jeff Turner

Jeff has been a Bitcoiner since 2011 and is a former executive at Novell and Cisco Systems. He has been a serial entrepreneur for the past 20 years and has been involved with decentralized technology for more than 15. His areas of interest include JavaScript/TypeScript, blockchain technologies, Rholang, and consensus algorithms. Before working at Chapman University, he was a Chief Technology Officer at a crypto company, Exodus, and currently operates a software consultancy.

NOTE:  This is an IN PERSON meeting.  To receive a link to the event's recording, complete the survey referenced in the header or footer.



  Date and Time

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  • Date: 15 Nov 2023
  • Time: 06:30 PM to 08:30 PM
  • All times are (GMT-08:00) US/Pacific
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  • Co-sponsored by OC ACM [Actual Host] and Knobbe Martens [Physical Host]
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Agenda

6:30 PM Networking at physical meeting location
7:00 PM Announcements and Presentation with Q&A
8:00 PM Follow-up quesitons for presenter and networking
8:30 PM Meeting Adjourned



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