Big Data News Hubb
Advertisement
  • Home
  • Big Data
  • News
  • Contact us
No Result
View All Result
  • Home
  • Big Data
  • News
  • Contact us
No Result
View All Result
Big Data News Hubb
No Result
View All Result
Home Big Data

Video Highlight: Google Engineer on His Sentient AI Claim

admin by admin
November 9, 2022
in Big Data


Google Engineer Blake Lemoine (who worked for the company’s Responsible AI unit) joins Emily Chang of Bloomberg Technology in the video below to talk about some of the experiments he conducted that led him to believe that LaMDA (a Large Language Model) was a sentient AI, and to explain why he was placed on administrative leave and ultimately fired. Lemoine said the AI chatbot known as LaMDA claimed to have a soul and expressed human thoughts and emotions. Lemoine provides the dialog (in a contribution he made to Medium) of his experiment with LaMDA. Lemonine’s bio from the Medium article reads: “I’m a software engineer. I’m a priest. I’m a father. I’m a veteran. I’m an ex-convict. I’m an AI researcher. I’m a cajun. I’m whatever I need to be next.” Lemoine said that his claims about LaMDA come from his experience as a “Christian priest.” 

Google describes the LaMDA project this way:

LaMDA’s conversational skills have been years in the making. Like many recent language models, including BERT and GPT-3, it’s built on Transformer, a neural network architecture that Google Research invented and open-sourced in 2017. That architecture produces a model that can be trained to read many words (a sentence or paragraph, for example), pay attention to how those words relate to one another and then predict what words it thinks will come next. But unlike most other language models, LaMDA was trained on dialogue. During its training, it picked up on several of the nuances that distinguish open-ended conversation from other forms of language. One of those nuances is sensibleness. Basically: Does the response to a given conversational context make sense? 

Sign up for the free insideBIGDATA newsletter.

Join us on Twitter: https://twitter.com/InsideBigData1

Join us on LinkedIn: https://www.linkedin.com/company/insidebigdata/

Join us on Facebook: https://www.facebook.com/insideBIGDATANOW





Source link

Previous Post

Enrich VPC Flow Logs with resource tags and deliver data to Amazon S3 using Amazon Kinesis Data Firehose

Next Post

Ozone Write Pipeline V2 with Ratis Streaming

Next Post

Ozone Write Pipeline V2 with Ratis Streaming

Recommended

A side-by-side comparison of Apache Spark and Apache Flink for common streaming use cases

July 29, 2023

Protect Your Assets and Your Reputation in the Cloud

October 28, 2022

Does Cost Reduction Play a Role in Digital Transformation?

October 7, 2022

Don't miss it

Big Data

“Above the Trend Line” – Your Industry Rumor Central for 9/29/2023

September 30, 2023
Big Data

Ballard Power Systems RDU (Remote Diagnostics Unit) Visualization Platform for Interactive At-Scale Industrial IoT Streaming Analytics

September 30, 2023
News

Process and analyze highly nested and large XML files using AWS Glue and Amazon Athena

September 30, 2023
News

Rethinking ‘Open’ for AI

September 30, 2023
News

Embracing the New Era of Online Education

September 30, 2023
Big Data

Unleashing the Power of AI in Paid Search Marketing: Insights from Industry Expert

September 29, 2023
big-data-footer-white

© Big Data News Hubb All rights reserved.

Use of these names, logos, and brands does not imply endorsement unless specified. By using this site, you agree to the Privacy Policy and Terms & Conditions.

Navigate Site

  • Home
  • Big Data
  • News
  • Contact us

Newsletter Sign Up

No Result
View All Result
  • Home
  • Big Data
  • News
  • Contact us

© 2022 Big Data News Hubb All rights reserved.