Jeremy Howard

@howardjeremyp · 145.0K subscribers · 200 videos · 10 analyzed

Deep learning is transforming the world. We are making deep learning easier to use and getting more people from all backgrounds involved through our free courses for coders, software library, cutting-edge research, and community. The world needs everyone involved with AI, no matter how unlikely your background. We want to make deep learning as accessible as possible.

Share Influence Report

Communication Profile (across 10 videos)

Stated Purpose

Operative Pattern

Across 10 videos, this channel demonstrates low persuasion intensity, primarily through Performed Authenticity. Recurring themes suggest consistent operative goals beyond stated content.

Avg Intensity

Low 31%

Avg Transparency

Transparent 87%

Top Technique

Persuasion Dimensions

Story Shaping

36%

Emotional Appeal

30%

Call to Action

28%

Implicit Claims

23%

Engagement Mechanics

15%

Group Characterization

11%

Uses AI to group individual video agendas into recurring patterns

Per-Video Operative Goals — detected in individual analyses

The content aims to establish Jeremy Howard's historical authority in AI to promote a specific 'human-in-the-loop' philosophy and his new educational platform, Answer.ai.

Jeremy Howard interview at PytorchCon with Anna Tong Low

The video aims to demonstrate the utility of the 'Solve It' tool and Jeremy Howard's specific AI-assisted reading workflow while cross-promoting Eric Ries's new book.

The Best Way to Read a Book (That Nobody's Doing) Low

The content aims to build trust and interest in a new paid educational platform and course by positioning it as the only viable solution to the 'wall' users hit with basic AI prompting.

How To Solve It With Code—background on the course; a discussion with Jeremy and Hamel Low

The video aims to recruit students for a new paid or cohort-based coding course by positioning it as a unique solution to AI-generated code complexity.

How To Solve It With Code — Overview Low

The content aims to validate the long-term value of traditional software engineering craftsmanship and promote the Mojo programming language as the technical solution to current AI infrastructure inefficiencies.

Build to Last — Chris Lattner talks with Jeremy Howard Low

What's Valuable Here

The video offers a practical look at how LLMs can be integrated into a REPL environment for data analysis and recreational mathematics without fully automating away the logic.

What is Solveit? Showing some recent ...

Provides a detailed, hands-on look at a specialized development environment designed to improve the legibility and maintainability of AI-assisted code.

A Tour of the Solveit Platform

Provides a high-level conceptual framework for how the intersection of coding and LLMs is shifting from 'model training' to 'interactive debugging'.

How To Solve It With Code—background ...

Provides a highly detailed, practical look at advanced context-window management and recursive summarization techniques for LLM users.

The Best Way to Read a Book (That Nob...

Provides a highly practical look at how to achieve professional UI results in Python without deep CSS knowledge, specifically demonstrating the integration of modern web standards like semantic HTML.

MonsterUI: Beautiful Python Web Apps ...

Provides a practical, high-quality framework for using modern AI tools to parse and implement complex academic research that would otherwise be inaccessible to non-experts.

How to Actually Understand Dense Mach...

Viewer Guidance (1 tips)

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