Hosted by The AI Research Deep Dive · 🇺🇸 US · EN · 37 episodes
Established thought leaders with verified media credentials.
From arXiv to insight: a daily tour of cutting-edge AI papers.The AI Research Deep Dive podcast dives into a new groundbreaking research paper every day. It combs through the most important details and results to give you a great idea of what the paper accomplishes and how it gets there.
The AI Research Deep Dive hosts The AI Research Deep Dive, a science show with 37 episodes published.
Arxiv: https://arxiv.org/abs/2510.26692 This episode of "The AI Research Deep Dive" unpacks "Kimi Linear: An Expressive, Efficient Attention Architecture," a paper from Moonshot AI that challenges the long-standing trade
Arxiv: https://arxiv.org/abs/2510.23607 This episode of "The AI Research Deep Dive" unpacks "Concerto," a paper that tackles a core challenge in artificial perception by "harmonizing" 2D image and 3D point cloud data, mu
Arxiv: https://arxiv.org/abs/2510.11696 This episode of "The AI Research Deep Dive" unpacks the NVIDIA paper "QeRL," which presents a solution to the extreme computational cost of using Reinforcement Learning (RL) to tra
Arxiv: https://www.arxiv.org/abs/2510.18234 This episode of "The AI Research Deep Dive" unpacks "DeepSeek-OCR," a paper that offers a radical solution to one of AI's biggest bottlenecks: the long context problem. The hos
Arxiv: https://arxiv.org/abs/2510.11690 This episode of "The AI Research Deep Dive" breaks down a paper from NYU that re-engineers the foundation of modern image generation models. The host explains how the researchers i
Arxiv: https://arxiv.org/abs/2509.26507 This episode of "The AI Research Deep Dive" unpacks "The Dragon Hatchling," a paper that introduces a new, brain-inspired AI architecture intended to be the "missing link" between
Arxiv: https://arxiv.org/html/2510.04871v1 This episode of "The AI Research Deep Dive" unpacks the paper "Less is More," which challenges the "bigger is better" mantra in AI by showing how a tiny model can outsmart giant
Arxiv: https://arxiv.org/html/2509.25454v1 This episode of "The AI Research Deep Dive" explores "DeepSearch," a paper that tackles the frustrating problem of performance plateaus in AI training, where more compute power
Arxiv: https://www.arxiv.org/abs/2509.25541 This episode of "The AI Research Deep Dive" explores "Vision-Zero," a paper that presents a radical new way to train powerful Vision-Language Models without any human-labeled d
Arxiv: https://arxiv.org/abs/2509.22622 This episode of "The AI Research Deep Dive" explores LongLive, a paper from NVIDIA and MIT that aims to transform video generation from a slow, offline process into a real-time, in
Arxiv: https://arxiv.org/abs/2509.14234 This episode of "The AI Research Deep Dive" unpacks "Compute as Teacher" (CaT), a paper from Meta and Anthropic that offers a way to train AI models without human-labeled answer ke
Arxiv: https://arxiv.org/abs/2509.17567 This episode of "The AI Research Deep Dive" explores the paper "LIMI: Less is More for Agency," which makes a bold claim that challenges the "bigger is better" mantra in AI. The ho
Arxiv: https://arxiv.org/abs/2509.15155 This episode of "The AI Research Deep Dive" explores a groundbreaking Google DeepMind paper that offers a solution to a major roadblock in robotics: the "imitation learning ceiling
Link: https://thinkingmachines.ai/blog/defeating-nondeterminism-in-llm-inference/ This episode of "The AI Research Deep Dive" explores a blog post from Thinking Machines Lab that solves a frustrating mystery: why large l
This episode of "The AI Research Deep Dive" explores a groundbreaking paper from Google about an AI system that automates the creation of expert-level scientific software, potentially condensing months of human coding wo
Arxiv: https://www.arxiv.org/abs/2412.13303 This episode of "The AI Research Deep Dive" unpacks "FastVLM," a paper from Apple that tackles the frustrating lag (Time-To-First-Token) in high-resolution Vision Language Mode
Arxiv: https://arxiv.org/abs/2508.19982 This episode of "The AI Research Deep Dive" explores a paper that tackles a major inefficiency in a special class of AI known as Diffusion Language Models. The host explains the co
Arxiv: https://arxiv.org/abs/2508.19229 This episode of "The AI Research Deep Dive" unpacks "Stepwiser," a paper from Meta AI that introduces a powerful new way to teach AI models how to reason correctly. The host explai
This episode of "The AI Research Deep Dive" explores "BeyondWeb," a paper from DatologyAI that offers a rigorous, scientific solution to the AI "data wall"—the problem of running out of high-quality web data for training
Arxiv: https://arxiv.org/abs/2508.10751 This episode of "The AI Research Deep Dive" unpacks "Pass at k Training," a paper that offers a brilliant solution to a common AI problem: models that get stuck in a rigid, singula
Sponsor detection runs nightly. Check back soon.
No public pitch examples yet for this show.
Generate your own personalised pitchBased on semantic analysis of episode topics and host coverage, this show is a strong guest fit for executives in:
Industry fit is computed by PitchCentric using vector embeddings of the show's episode catalog.
Shows with the most semantically similar episode content. Pitch one, pitch all; producers cluster.
The AI Research Deep Dive has a verified contact on file. Create a free PitchCentric account to access it and generate a personalised pitch in seconds. Research at least 3 recent episodes first and lead with a specific angle that serves their science audience.
The AI Research Deep Dive is hosted by The AI Research Deep Dive. The show is categorised under science and has published 37 episodes.
The AI Research Deep Dive has published 37 episodes.
The AI Research Deep Dive regularly covers science. It sits in the science category.
The AI Research Deep Dive is accessible for guests with genuine science expertise. A personalised, episode-aware pitch will still outperform a generic one every time.
The AI Research Deep Dive hasn't explicitly signalled guest openness in recent episodes. That doesn't rule out pitching. your hook just needs to be especially compelling and relevant to their recent content.
Episodes of The AI Research Deep Dive average 17 minutes. a focused format where a clear narrative arc and tight preparation matter most.
Our data rates The AI Research Deep Dive's guest bar at 80/100 (Premium tier). Established thought leaders with verified media credentials. Sign in to PitchCentric to see how your own Pod Score compares against this show.
Methodology. Booking Probability™ blends Listen Score, 30-day Virality, open-to-guests detection, and Apple ratings. Data refreshed every 60 minutes. Listen Score and Booking Probability are calculated by PitchCentric. Last enriched today.
