Listen Score
LS 27
Global Rank
TOP 10%

INFORMAZIONI SU QUESTO PODCAST 🔗

Conduttori:
Frequenza di aggiornamento:
every 4 hours
Durata media dell'audio:
27 minutes
Interviste agli ospiti
Ha degli sponsor
Inglese
Stati Uniti
430 episodi
da 06 Aprile 2026
episodic

AUDIENCE OF THIS PODCAST 🔗

~96.67% of listeners are from United States.
🇺🇸
US
96.67%
🇫🇷
FR
0.76%
🇩🇪
DE
0.64%
🇮🇸
IS
0.51%
🇨🇦
CA
0.25%
🇦🇺
AU
0.25%
🇯🇵
JP
0.25%
🇸🇪
SE
0.12%
🇪🇸
ES
0.12%
🇬🇧
GB
0.12%
🇵🇱
PL
0.12%
🇨🇭
CH
0.12%
Others
0.07%
* Data source: directly measured on Listen Notes. in tempo reale

ULTIMO EPISODIO 🔗

AI researcher and writer Herbie Bradley joins MTS to break down Anthropic's amended S-1 filing on imminent RSI thresholds, why fast takeoff timelines are overblown, and why enterprise AI adoption is hitting organizational bottlenecks rather than capability walls. Check out our sponsor Lovable: http…

CERCA TRA GLI EPISODI PASSATI

Cerca gli episodi passati di MTS.

EPISODI PRECEDENTI

StackAI co-founder Bernardo Aceituno explains why open-weight models have caught up to frontier closed models for enterprise automation, arguing that AGI for enterprise tasks arrived in February 2026. He breaks down how soaring token bills and on-premise governance are driving 90% of enterprise wor…
Ruby Justice Thelot and Sofia Puccini explore how generative AI coding tools have eliminated the technical barrier for artists, igniting a resurgence of creative technology. They trace corporate-artist collaborations from Bell Labs and Xerox PARC to Sora and Anthropic, while unpacking the tension b…
HumanLayer founder and CEO Dexter Horthy breaks down why his multiplayer coding agent platform is joining Factory and open-sourcing its code base. He explains why agent swarms doing months of work in days force software planning to shift left, and outlines the engineering challenges of managing liv…
Extrapolate co-founder and former xAI researcher Qasim Wani argues recursive self-improvement is fundamentally a data bottleneck rather than a model training problem. He breaks down why today’s frontier models fail at automated AI research, how agents accidentally leak commit patches to reward-hack…
Palisade Research Executive Director Jeffrey Ladish analyzes METR’s report showing AI capabilities accelerating twice as fast as historical trends, driven by algorithmic efficiency and autonomous AI development. He discusses recursive self-improvement timelines, why Anthropic must un-redact interna…
Ruby Justice Thelot explores the cultural and technological counter-currents to modern hyper-digitization, from the death of Detroit techno pioneer Juan Atkins to the failure of tech-fashion house Coperni. He analyzes the corporate aesthetics overtaking social platforms and breaks down data behind …
fal co-founder and CTO Gorkem Yurtseven breaks down the explosive demand driving their $1.65B raise at a $16B valuation. He explains why frontier LLMs are rapidly converging with 3D gaming and VFX pipelines, and shares his prediction for when we will see the first AI-assisted, feature-length animat…
MongoDB's head of AI platform Chirag Shah breaks down why production agents fail without dedicated memory and context architecture. He explains how MongoDB built Atlas Agent Engine, why teams are over-indexing on LLM selection, and how multi-agent architectures are replacing traditional full-stack …
Former DOJ antitrust leadership Jonathan Kanter and Doha Mekki discuss exiting the Justice Department to launch FluxCap, an AI platform designed for complex litigation. They break down the shift from standard legal tech to specialized investigative AI, the post-election regulatory landscape, and wh…
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