# Deep Learning on The No Agenda Show

Deep Learning comes up in 3 chapters across 3 episodes of The No Agenda Show, from September 2018 to November 2023.

- **Chapters:** 3
- **Episodes:** 3
- **Discussed:** September 2018 – November 2023
- **Related topics:** [Agi](https://search.noagendashow.net/topic/agi.md), [Ai](https://search.noagendashow.net/topic/ai.md), [Expert Systems](https://search.noagendashow.net/topic/expert-systems.md), [France 24](https://search.noagendashow.net/topic/france-24.md), [Frankfurt](https://search.noagendashow.net/topic/frankfurt.md), [Machine Learning](https://search.noagendashow.net/topic/machine-learning.md), [Mcdonalds](https://search.noagendashow.net/topic/mcdonalds.md), [Medical Ai](https://search.noagendashow.net/topic/medical-ai.md), [Openai](https://search.noagendashow.net/topic/openai.md), [Sam Altman](https://search.noagendashow.net/topic/sam-altman.md)

## Chapters 1–3 of 3

### Effective Accelerationism and Medical AI Expert Systems

- **Episode:** [1610: p-doom](https://search.noagendashow.net/episode/1610-p-doom.md)
- **Published:** 2023-11-23
- **Time:** 1:33:20–1:40:29
- **Transcript:** https://search.noagendashow.net/episode/1610-p-doom/chapter/effective-accelerationism-and-medical-ai-expert-systems.md

A report from France 24 explains the philosophical battle between "effective altruism" and "effective accelerationism" (e/acc) within the tech industry. The segment transitions into a critique of AI in healthcare, comparing modern "predictive health" claims to the failed "expert systems" of the 1980s. The hosts argue that these systems are often just opaque decision trees prone to data bias.

Keywords: effective accelerationism, [france 24](https://search.noagendashow.net/topic/france-24.md), [deep learning](https://search.noagendashow.net/topic/deep-learning.md), [medical ai](https://search.noagendashow.net/topic/medical-ai.md), [expert systems](https://search.noagendashow.net/topic/expert-systems.md), algorithmic bias

### AI Industry Trends, OpenAI Valuation, ChatGPT Interface Tricks

- **Episode:** [1519: Freeze Peach](https://search.noagendashow.net/episode/1519-freeze-peach.md)
- **Published:** 2023-01-12
- **Time:** 1:03:16–1:07:51
- **Transcript:** https://search.noagendashow.net/episode/1519-freeze-peach/chapter/ai-industry-trends-openai-valuation-chatgpt-interface-tricks.md

OpenAI is reportedly seeking a tender offer at a $29 billion valuation as CEO Sam Altman discusses the future of AGI. Recent AI developments include algorithms that claim to detect alcohol in a person's voice and McDonald's replacing staff with robots. The ChatGPT user interface is criticized for using a "typing" animation to humanize the machine and create a false sense of real-time interaction.

Keywords: [openai](https://search.noagendashow.net/topic/openai.md), [sam altman](https://search.noagendashow.net/topic/sam-altman.md), [agi](https://search.noagendashow.net/topic/agi.md), [deep learning](https://search.noagendashow.net/topic/deep-learning.md), [mcdonalds](https://search.noagendashow.net/topic/mcdonalds.md), [vocal fry](https://search.noagendashow.net/topic/vocal-fry.md)

### Producer Donations and AI Statistical Modeling

- **Episode:** [1064: Post Racial](https://search.noagendashow.net/episode/1064-post-racial.md)
- **Published:** 2018-09-02
- **Time:** 1:09:45–1:14:01
- **Transcript:** https://search.noagendashow.net/episode/1064-post-racial/chapter/producer-donations-and-ai-statistical-modeling.md

A tech millennial producer from Frankfurt, Germany, provides a detailed explanation of AI and machine learning, defining them as advanced statistical modeling. The producer warns that the current trend of "shoehorning" every problem into statistical models is ineffective. The segment includes a donation of 333.33 Euros and a request for a Yoko Ono jingle.

Keywords: [frankfurt](https://search.noagendashow.net/topic/frankfurt.md), [ai](https://search.noagendashow.net/topic/ai.md), [machine learning](https://search.noagendashow.net/topic/machine-learning.md), [deep learning](https://search.noagendashow.net/topic/deep-learning.md), [statistics](https://search.noagendashow.net/topic/statistics.md)

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