THE VIDEO SHELF · ai impact
I tried using AI. It scared me.
Tom Scott describes trying ChatGPT to fix his Gmail labels and being unsettled by how capable it was. He argues that we cannot know where we are on the technology curve, comparing it to Napster.
Why HN readers recommended it
HN cites it for the argument that we cannot tell whether AI is early or late on its sigmoid curve until hindsight.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- Tom Scott
- Topic
- ai impact
- Format
- commentary
- Level
- general
- HN recommenders in dataset
- 4
- HN mentions in dataset
- 6
- Recommendation years in dataset
- 2023–2025
These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.
From the original HN conversations
Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.
Tom Scotts video today re where we are on the AI's impact to society curve was interesting : [VIDEO] I think he's probably right that we're very early on the adoption curve. (even though I always get downvote and call a dumbass when I mention …
neom on Hacker News · 2023-02
In The AI Bubble of 2023I enjoyed Tom Scott's YT video monologue about this. To summarize, he postulates that most major innovations follow a sigmoid growth curve, wherein they ramp up, explode, and then level off. The question then becomes, where are we on this curve? He concludes that we …
ortusdux on Hacker News · 2023-12
In Ask HN: Why is it taken for granted that LLM models will keep improving?I tried using AI. It scared me. - Tom Scott [VIDEO] I'm also gonna recommend Accelerando - [LINK] As an aside, I'd also recommend Glasshouse (also by Charles Stross) as an exploration into the human remnants post singularity (and war)... followed by Implied Spaces by …
shagie on Hacker News · 2023-12
In The Singularity Is Nigh!
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.