
Investigating the untold biases behind Big Data, policy-by-algorithm and Artificial Intelligence. Because The Algorithmic is Political
| Publishes | Daily | Episodes | 25 | Founded | 9 years ago |
|---|---|---|---|---|---|
| Categories | Society & CultureTechnology | ||||

LLMs don't even qualify as autotune. Autotune, at least, still has some connection to work (not necessarily talent).
You give them fair use, and they stick it up their ass.
Do not heed Sam Altman and his ilk, it's not tech innovation. It's storytelling.
The "Microsoft vs. International Criminal Court" scandal means that all US-owned companies in the EU are foreign agents. Something MUST be done if EU sovereignity as to make any sense.
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Un podcast che fa riflettere sulla società dei dati e sulle problematiche del mondo tecnologico. Imperdibile
Does not buy into any of the hype of ML or tech culture. Pointed critiques of specific cases.
Key themes from listener reviews, highlighting what works and what could be improved about the show.









Listeners, social reach, demographics and more for this podcast.
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Content focuses on the intersections of society, culture, and technology, specifically scrutinizing biases that exist within big data and artificial intelligence. Episodes often address critical themes such as copyright infringement, workplace automation, and the ethical considerations surrounding AI technology. The discussion pushes against mainstream narratives, offering in-depth critiques of sensationalism in tech media and raising awareness about the implications of AI on professionalism and legal frameworks. Unique analyses of current events, particularly concerning digital sovereignty and political implications, make this a thought-provoking listen for anyone interested in the darker aspects of technological advancement.
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These podcasts share a similar audience with DataKnightmare:
1. DataKnightmare: L'algoritmico è politico
2. TechnoPillz
3. 2024
DataKnightmare launched 9 years ago and published 25 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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