
Knowledge Science - Der Podcast über Künstliche Intelligenz im Allgemeinen und Natural Language Processing im Speziellen. Mittels KI Wissen entdecken, aufbereiten und nutzbar machen, dass ist die Idee hinter Knowledge Science. Durch Entmystifizierung der Künstlichen Intelligenz und vielen praktischen Interviews machen wir dieses Thema wöchentlich greifbar.
| Publishes | Twice monthly | Episodes | 258 | Founded | 5 years ago |
|---|---|---|---|---|---|
| Language | Number of Listeners | Categories | EducationTechnology |

Send us Fan Mail
In dieser Episode sprechen Sigurd Schacht und Carsten Lanquillon über Anthropics neues Frontier-Modell Claude Mythos (Preview) – ein Modell, das so leistungsfähig ist, dass es bewusst nicht der breiten Öffentlichkeit zugänglich gema... more
Send us Fan Mail
Was macht den eigentlichen Unterschied bei KI-Anwendungen – das Modell oder das Engineering drumherum? In dieser Episode diskutieren Sigurd und Carsten das Konzept des „AI Harness" und warum Kommandozeilen-Tools oft bessere Ergebnis... more
Send us Fan Mail
Nur weil jedes einzelne KI-Modell „brav" trainiert wurde, heißt das noch lange nicht, dass sich mehrere Agenten gemeinsam auch brav verhalten. Sigurd und Carsten diskutieren das Paper „Colosseum: Auditing Collusion in Cooperative Mu... more
Send us Fan Mail
Wie bringt man Unternehmenswissen effizient in ein Sprachmodell – ohne endlose Kontextfenster oder stundenlanges Fine-Tuning? Wir diskutieren den faszinierenden Ansatz „Doc to LoRA", bei dem ein Hypernetwork aus beliebigen Dokumente... more
People also subscribe to these shows.




Ich habe die neueste Folge mit großem Interesse gehört! Die Diskussion rund um OpenGPT-X und die Entwicklung europäischer KI-Modelle ist nicht nur hochspannend, sondern auch unglaublich wichtig für die technologische Unabhängigkeit. Besonders die Gäste haben mit ihrem Fachwissen beeindruckt und komplexe Themen verständlich aufbereitet. Ein Muss für alle, die sich für KI, NLP und Europas Innovationskraft interessieren. Vielen Dank für diesen inspirierenden Podcast!
5/5 Sterne 🌟
Danke für die links auf die papers. Aber anhören kann ich mir die generierten Folgen nicht: gruselig. Lieber ohne Podcast in Schriftform.
Key themes from listener reviews, highlighting what works and what could be improved about the show.
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #167 | |
Apple Podcasts | #231 | |
Apple Podcasts | #232 |
Listeners, social reach, demographics and more for this podcast.
| Listeners per Episode | Gender Skew | Location | |||
|---|---|---|---|---|---|
| Interests | Professions | Age Range | |||
| Household Income | Social Media Reach | ||||
The content focuses on the realms of artificial intelligence (AI), machine learning (ML), and natural language processing (NLP), emphasizing practical applications and theoretical discussions. The episodes often feature interviews with experts in the field, exploring various facets of AI, including ethical considerations, safety mechanisms, and future developments in technology. What sets this podcast apart is its commitment to demystifying complex AI topics, making them accessible and comprehensible to a broader audience while fostering an informed engagement with emerging technologies.
Rephonic provides a wide range of podcast stats for Knowledge Science. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to Knowledge Science and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.
Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. View further listenership figures for Knowledge Science, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.
Rephonic provides comprehensive predictive audience data for Knowledge Science, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.
To see how many followers or subscribers Knowledge Science has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.
These podcasts share a similar audience with Knowledge Science:
1. KI-Update – ein heise-Podcast
2. Der KI-Podcast
3. KI verstehen
4. c’t uplink - der IT-Podcast aus Nerdistan
5. F.A.Z. Künstliche Intelligenz
Knowledge Science launched 5 years ago and published 258 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.
Rephonic pulls ratings and reviews for Knowledge Science from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.
View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.
Rephonic provides full transcripts for episodes of Knowledge Science. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.
Recent guests on Knowledge Science include:
1. Mehdi Ali
2. Michael Fromm
3. Medi Ali
To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.