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Machine Learning Street Talk
Machine Learning Street Talk (MLST)
Welcome! We engage in fascinating discussions with pre-eminent figures in the AI field. Our flagship show covers current affairs in AI, cognitive science, neuroscience and philosophy of mind with in-depth analysis. Our approach is unrivalled in terms of scope and rigour – we believe in intellectual diversity in AI, and we touch on all of the main ideas in the field with the hype surgically removed. MLST is run by Tim Scarfe, Ph.D (https://www.linkedin.com/in/ecsquizor/) and features regular appearances from MIT Doctor of Philosophy Keith Duggar (https://www.linkedin.com/in/dr-keith-duggar/).
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Ratings & Reviews
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4.8 stars from 151 ratings
“Maria’s anti-AI denialism was ridiculous. Generally I like to hear people from outside the field. But she stated her position with complete certainty and no reasoned arguments at all and spoke of areas she clearly had no knowledge
. She was arrogant and insulted listeners intelligence. There are...”Read full review »
Adrian1423 via Apple Podcasts ·
Great Britain ·
05/08/24
Clear expert sharing with others
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“Worth listening to and learning. My only note is the Connor episodes can be skipped.”
diamond bishop via Apple Podcasts ·
United States of America ·
04/23/24
The Fall Of MLST
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“Oh how the mighty have fallen. It deeply saddens me to say, but MLST went from my weekly go-to to a hard pass. The shift towards sponsored content is painfully obvious, with some episodes feeling more like infomercials. The "interviews” come off as nothing more than a platform for founders...”Read full review »
Jakob.tungs25 via Apple Podcasts ·
Germany ·
02/14/24
Recent Episodes
Ashley Edwards, who was working at DeepMind when she co-authored the Genie paper and is now at Runway, covered several key aspects of the Genie AI system and its applications in video generation, robotics, and game creation.
MLST is sponsored by Brave:
The Brave Search API covers over 20...
Published 09/13/24
Published 09/13/24
Saurabh Baji discusses Cohere's approach to developing and deploying large language models (LLMs) for enterprise use.
* Cohere focuses on pragmatic, efficient models tailored for business applications rather than pursuing the largest possible models.
* They offer flexible deployment options,...
Published 09/12/24
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