What if AI doesn’t just keep getting better forever?

Quick Summary:

New reports highlight fears of diminishing returns for traditional LLM training.

Sutskever told Reuters that "the 2010s were the age of scaling," where throwing additional computing resources and training data at the same basic training methods could lead to impressive improvements in subsequent models.

A weekend report from The Information effectively summarized how these fears are manifesting amid a number of insiders at OpenAI.

---

More Pictures

---

Read Quick SummarySave Time

or

Article Details

Author / Journalist: Kyle Orland

Category: Technology

Markets: United States

Topics: Training Getting Information Models Researchers Years Openai Data Other Model Scaling

Source Website Secure: Yes (HTTPS)

News Sentiment: Neutral

Fact Checked: Legitimate

Article Type: News Report

Published On: 2024-11-12 @ 20:34:11 (1 weeks ago)

News Timezone: GMT -5:00

News Source URL: arstechnica.com

Language: English

Article Length: 205 words

Reading Time: 2 minutes read

Sentences: 40 lines

Sentence Length: 6 words per sentence (average)

Platforms: Desktop Web, Mobile Web, iOS App, Android App

Copyright Owner: © Ars Technica

News ID: 23559865

View Article Analysis

About Ars Technica

Main Topics: Technology

Official Website: arstechnica.com

Update Frequency: 4 posts per day

Year Established: 1998

Headquarters: United States

News Last Updated: 10 hours ago

Coverage Areas: United States

Ownership: Independent Company

Publication Timezone: GMT -5:00

Content Availability: Worldwide

News Language: English

RSS Feed: Available (XML)

API Access: Available (JSON, REST)

Website Security: Secure (HTTPS)

Publisher ID: #32

Publisher Details

Frequently Asked Questions