Aug 9, 202520 minS0
<p>This 2022 academic paper explores Fill-in-the-Middle (FIM) capabilities in causal decoder-based language models, demonstrating that these models can learn to infill text effectively by simply rearranging parts of the...
About this Podcast:
While we take AI for granted now, it's easy to forget it's unique history and haphazard advances. This reviews the principal concepts under which modern neural networks have built upon since the earliest known related papers.
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Booking probability
26%
Guest openness
Selective
80/100
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What is AI: Origins about?
While we take AI for granted now, it's easy to forget it's unique history and haphazard advances. This reviews the principal concepts under which modern neural networks have built upon since the earliest known related papers.
What has AI: Origins covered recently?
Recent episodes include "FIM: Filling in the Middle for Language Models" (9 August 2025, 20 minutes), "BPE: Subword Units for Neural Machine Translation of Rare Words" (9 August 2025, 16 minutes), and "Distributed Word and Phrase Representations" (9 August 2025, 16 minutes).
How often does AI: Origins publish?
AI: Origins publishes roughly daily, with episodes averaging 16 minutes across 10 episodes.
How hard is it to get booked on AI: Origins?
Booking probability for AI: Origins is 26%, and the host is rated Selective on guests. AI: Origins requires a Pod Score of 80 or higher. AI: Origins's contact route on record: verified email.
Who should pitch AI: Origins?
The strongest fits for AI: Origins are Scientific Research & Development. AI: Origins has a technology audience.
About the host
AI: Origins is a technology podcast with 10 episodes published.
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Recent episodes
Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.
- Aug 9, 202516 minS0
<p>This 2016 academic paper addresses the challenge of translating rare and unknown words in Neural Machine Translation (NMT), a common issue as NMT models typically operate with a fixed vocabulary while translation...
AI: Origins
Distributed Word and Phrase Representations
Aug 9, 202516 minS0<p>This 2013 paper introduces advancements to the continuous Skip-gram model, a method for learning high-quality distributed vector representations of words. The authors present extensions like subsampling frequent...
AI: Origins
Efficient Word Vectors for Large Datasets
Aug 9, 202512 minS0<p>This 2013 academic paper introduces two new model architectures, Continuous Bag-of-Words (CBOW) and Skip-gram, designed for efficiently computing continuous vector representations of words from vast datasets. The...
AI: Origins
A Neural Probabilistic Language Model
Aug 8, 20257 minS0<p>This paper published in 2003 introduces a neural probabilistic language model designed to address the curse of dimensionality inherent in modeling word sequences. The authors propose learning a distributed...
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- Aug 8, 202512 minS0
<p>The paper published in 1989, <b>"Training Stochastic Model Recognition Algorithms as Networks can lead to Maximum Mutual Information Estimation of Parameters"</b> by John S. Bridle, proposes a novel approach to...
- Aug 8, 202513 minS0
<p>The paper on backpropagation was published in 1986.</p><p><br></p><p>The paper presents a <b>collaborative research effort</b> focusing on <b>back-propagation</b> as a method for <b>learning representations</b>...
- Aug 8, 202527 minS0
<p>This paper published in 1986 introduces the concept of Parallel Distributed Processing (PDP) models, offering a new perspective on how human cognition works, contrasting it with traditional sequential processing. It...
- Aug 8, 202520 minS0
<p>The 1958 paper on Perceptrons, by Marvin L. Minsky and Seymour A. Papert, offers an expanded edition exploring artificial intelligence, particularly pattern recognition, and learning through linear parallel...
- Aug 8, 202519 minS0
<p>Perhaps the first related papers influencing the rise of the design of neural networks, published in 1943! The paper, "A Logical Calculus of the Ideas Immanent in Nervous Activity," is a <b>foundational paper</b> in...
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