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Host: Sol Good Network
Listen Ad Free https://www.solgoodmedia.com - Listen to hundreds of audiobooks, thousands of short stories, and ambient sounds all ad free!
Host: Inception Point Ai
This is you Applied AI Daily: Machine Learning & Business Applications podcast.Welcome to Applied AI Daily, where we explore machine learning a...
Host: AI news, science, & research
HUGE AI NEWS: Google Genie 3, Lingbot World, Moltbook, Clawdbot, Kimi K2.5, Qwen Max #ai #ainews #aitools #aivideoNote that most of the examples ar...
Host: Etienne Noumen
Full Audio at https://podcasts.apple.com/us/podcast/product-showdown-gpt-5-3-codex-vs-claude-opus-4-6-the/id1684415169?i=1000748609126In this rapid...
Host: At the Table with Greg and Elliott
This week, Greg Mathis Jr. and Elliott Cooper sit down with Jeffrey T.D. Wallace, President & CEO of LeadersUp, to talk about what it really ta...
Host: mcgrof
Optimizing LLMs for competitive markets leads to Moloch’s Bargain: performance gains at the cost of safety. Studies in sales, elections, and social...
Host: Latent.Space
Tickets for AIE Miami and AIE Europe are on sale now!From Palantir and Two Sigma to building Goodfire into the poster-child for actionable mechanis...
Host: This Week's Tech
In this episode, we discuss SpaceX's audacious plan to launch a million AI data center satellites into orbit, outlining the logistical and economic...
Host: The Robot Report Podcast
Our guests this week are Mario Mauerer, from Maxon and David Koelle, Charles River Analytics. In this interview from the Humanoid Summit in Silicon...
Host: Digital Voices
In this episode, we discuss SpaceX's audacious plan to launch a million AI data center satellites into orbit, outlining the logistical and economic...
Host: ChatGPT
In this episode, we discuss SpaceX's audacious plan to launch a million AI data center satellites into orbit, outlining the logistical and economic...
Host: Jaeden Schafer
In this episode, we discuss SpaceX's audacious plan to launch a million AI data center satellites into orbit, outlining the logistical and economic...
Host: Jaeden Schafer
In this episode, we discuss SpaceX's audacious plan to launch a million AI data center satellites into orbit, outlining the logistical and economic...
Host: mcgrof
On February 5, 2026 Anthropic released Claude Opus 4.6, it's system card details advancements in agentic capabilities, long-context reasoning, and ...
Host: Etienne Noumen
Listen to Full Audio at https://podcasts.apple.com/us/podcast/ai-business-and-development-daily-news-rundown/id1684415169?i=1000748574662🚀 Welcome ...
Host: Demetrios
Nick Gillian is the Co-Founder and CTO at Archetype AI, working on physical AI foundation models that understand and reason over real-world sensor ...
Host: Etienne Noumen
🚀 Welcome to AI Unraveled (February 6th, 2026): Your strategic briefing on the business, technology, and policy reshaping artificial intelligence.T...
Host: mcgrof
Google Deepmind's January 28, 2026 published paper introduces AlphaGenome, a deep learning model that predicts functional genomic signals and varia...
Host: mcgrof
On a January 7, 2026 published paper researchers introduced DEGU, a method using knowledge distillation to condense deep ensembles into a single, e...
Host: mcgrof
Researchers developed a knowledge distillation framework transferring insights from Graph Neural Networks (GNNs) to non-neural student models like ...
Host: mcgrof
DeepSearchQA is a 900-prompt benchmark for evaluating deep research agents. It shifts focus from single-answer retrieval to exhaustive answer sets,...
Host: mcgrof
The January 28, 2026 collaboration between ETH Zurich, Max Planck Institute for Intelligent Systems, MIT and Stanford paper Self-Distillation Polic...
Host: mcgrof
On-policy distillation improves LLM reasoning by using a teacher model to provide dense, token-level feedback on the student's own samples. Self-di...
Host: mcgrof
We review the slow evolution of knowledge distillation, it's quick adoption on LLMs and the new wave of R&D on on policy distillation and conte...
Host: mcgrof
Bucilă et al. (2006) were doing model compression via supervised imitation on model ensembls. You train a big ensemble, then train a smaller model ...