My NotebookLM AI Podcast Is Now On YouTube
AI talking about AI… How bizarre! And yet here we are.
Google doesn’t make much noise about their tool NotebookLM. They consider it to be a little experimental feature.
I think, though, that it’s pretty groundbreaking.
And I’ve seen some excited voices about it, on Reddit and other platforms.
So the other day I wrote this:
In this article I’m sharing how I started uploading Swetlana AI podcast episodes to Spotify.
Two episodes made it to my Youtube channel, Swetlana AI.
And then I thought to myself: What if I created an entirely new channel just for the podcast?
Boom, here we go:
Subscribe if you fancy.
On this brand new podcast channel I’m planning to “discuss” all things AI, including interesting side phenomena like the dead internet theory, or the “Content Authenticity Initiative”.
The Youtube channel will more or less mirror the content I have on Spotify.
Here’s my Spotify:
And below are some of my existing episodes on my Swetlana AI podcast channel.
AI & The Future Of Work (Who Will AI Replace?)
In this episode, we explore the impact that AI (and especially AGI) could have on the future of work, inspired by the insights of Avital Balwit from a frontier AI company.
As AGI advances, many jobs, especially in knowledge work, could become obsolete, raising important questions about how society will adapt to a world where employment is no longer a necessity.
People are wondering:
- What jobs will AI replace in the near future?
- Will AI replace engineers and other technical roles?
- Can AI replace professionals like doctors, teachers, and lawyers?
- Will AI lead to widespread job loss across various industries?
- Are data analysts and accountants at risk of being replaced by AI?
We’ll break down the different ways work may change in the future and how AGI might affect the role of humans in the economy and society.
From copywriting and customer service to tax preparation and software development, AI is expected to outperform humans in many cognitive tasks, potentially leading to widespread job displacement.
Yet, some professions — such as electricians, hairstylists, and gardeners — may remain less affected in the near term due to the slower advancement of robotics in physical tasks.
ChatGPT & Lawyers: A History Of Fails and Wins
With AI attorney tools becoming increasingly common, we explore how AI could impact legal research, writing, client communication, and even decision-making.
Could the rise of AI lawyer technologies and platforms lead to a world where AI replaces lawyers? Or will attorneys adapt and use these tools to enhance their practice?
Dead Internet Theory
In this episode we’re discussing Dead Internet Theory, a conspiracy theory which posits that the majority of online activity is generated by automated bots rather than real people.
This theory asserts that these bots are intentionally deployed by various actors, including governments and corporations, to manipulate users and spread misinformation.
The texts explore evidence supporting the theory, including reports on bot traffic, the increasing use of large language models like ChatGPT, and the proliferation of AI-generated content on social media platforms.
They also discuss the potential consequences of this phenomenon, including the erosion of trust in online information and the manipulation of public opinion.
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What is the Dead Internet Theory?
The Dead Internet Theory is an online conspiracy theory which claims that most current online activity and content is not generated by real people, but by artificial intelligence (AI) and bots.
Proponents of the theory believe that bots are intentionally created to manipulate search algorithms and control the information people see online.
● The theory suggests that the internet as we knew it, full of genuine human interaction, is “dead”.
● The date given for this “death” is generally around 2016 or 2017.
● The theory has two main components:
○ Organic human activity has been displaced by bots.
○ State actors are coordinating this to manipulate the population.
Arguments and Evidence
● Bot Activity: Reports show a significant increase in bot traffic online. For example, a 2016 Imperva report found that bots were responsible for 52% of web traffic.
● Algorithmic Curation: Social media algorithms often prioritize “relatable content,” leading to the repetition of similar posts and a decline in original content. This is seen as evidence of a manufactured online experience.
● AI-Generated Content: The rise of sophisticated AI, particularly large language models (LLMs) like ChatGPT, has made it easier to create realistic-looking but artificial content. This includes text, images, and even videos, making it difficult to discern human from AI-generated content. Examples cited include:
○ “I hate texting” tweets: Repetitive tweets starting with “I hate texting” followed by an alternative activity, suspected to be from bot accounts.
○ “Shrimp Jesus” images on Facebook: AI-generated images combining Jesus and shrimp went viral, suggesting AI’s ability to exploit algorithms for engagement.
○ AI-generated responses on Facebook: Facebook allows AI-generated responses to group posts, further blurring the lines between human and AI interaction.
