MTS

Google DeepMind Director of AGI Economics Alex Imas breaks down why hockey-stick AI model capabilities will not trigger explosive double-digit GDP growth. He explains how competitive markets drive automated output prices down, why firms operate as mosaic superintelligence, and how minimal AGI shifts labor into new high-wage markets. Check out our sponsor Lovable: https://lovable.dev. Turn ideas in...

Former a16z investor Robin Guo explains how LionBio is developing nasal delivery platforms to bypass the blood-brain barrier for GLP-1s and neuropeptides. He discusses how frontier AI models are accelerating target discovery, why traditional pharma timelines are artificially slow, and how preventative neurotherapeutics could reshape diseases like Alzheimer’s over the next decade. Check out our spo...

Security researcher Max Justicz explains how using OpenAI’s Daybreak Blue and an obliterated GLM 5.3 model enabled him to uncover severe zero-day exploits in apt and Android in just a few hours. He warns that frontier AI capabilities are lowering the technical bar for cyber offense, making widespread vulnerability discovery inevitable. Check out our sponsor Lovable: https://lovable.dev. Turn ideas...

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: https://lovable.dev. Turn ideas into software people love. MTS is a live news and interview show cove...

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 workloads to open models, while outlining the remaining bottlenecks in visual understanding, memory, and...

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 between corporate KPIs and experimental art. -- https://x.com/being_on_line Brought to you by: Mongo D...

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 live multiplayer state, security, and governance across distributed agent harnesses. Check out our spons...

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 tasks, and why building high-quality environments is the true path to superintelligence. Check out o...

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 internal evaluations, and how close autonomous agents are to compromising digital infrastructure. Check out...

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 the resurgence of analog media alongside the explosive commercial rise of paratechnology designed to...

Congressman Sam Liccardo breaks down the incoming Democratic majority’s agenda for artificial intelligence, from federal preemption and bipartisan safety standards to the pushback against frontier AI research pauses. He also outlines why mandatory kill switches remain technically unworkable and how Congress can leverage hyperscalers to rebuild the U.S. power grid while protecting local communities...

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 animated film. Check out our sponsor Lovable: https://lovable.dev. Turn ideas into software people love. --...

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 software. Check out our sponsor Lovable: https://lovable.dev. Turn ideas into software people lov...

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 why prosecutors must learn to interrogate algorithms. Check out our sponsor Lovable: https://lovable.de...

Former Anthropic pre-training researcher and Core Automation co-founder Rohan Anil explains how compute islands allow decentralized GPU clusters to train frontier AI models without colocation. He details why current scaling hits test-time learning bottlenecks, how butterfly mixing handles asynchronous training noise, and sets a 2027 timeline for models that continuously learn on the fly. Check out...

Baseten co-head of model training Charlie O'Neill breaks down why recursive self-improvement will be much weaker than fast-takeoff theories predict, pointing to real-world compute and RL bottlenecks. He also unpacks why automating machine learning research faces sharp diminishing returns and introduces Baseten's newly launched inference and agent platform tools. Check out our sponsor Lovab...

Ruby Justice Thelot analyzes how algorithmic curation and platform economics have fractured cultural monoculture, flattening mainstream pop while accelerating niche subcultures. He examines empirical data across 11 years of celebrity Wikipedia traffic, Billboard streaming dispersion, and the surging adult toy market to argue that monolithic monoculture is officially over. -- https://x.com/being_on...

Khosla Ventures founding partner Samir Kaul joins MTS to discuss why compute is no longer the real bottleneck in AI biology, how the semiconductor supply shortage will break within five years, and why energy constraints will surpass chip limits in the next 12 months. Check out our sponsor Lovable: https://lovable.dev. Turn ideas into software people love. MTS is a live news and interview show cove...

Cyber ethnographer Ruby Justice Thelot explains why social media platforms are aging out young users, making a push into AI vertical dramas and 90-minute videos, and shedding personal communication. He tracks how the decline of traditional home hosting is spurring the rise of commercial offline spaces like run clubs and supper clubs.-- https://x.com/being_on_line --Timestamps:(00:00) Introduction...

Former OpenAI governance and DeepMind safety researcher Richard Ngo analyzes why rapid recursive self-improvement timelines are overhyped and breaks down how frontier labs justify race dynamics. He explains why AI capabilities will remain jagged for years and argues that the alignment field is bottlenecked by conceptual confusion and political groupthink. Check out our sponsor Lovable: https://lov...

Tutor Intelligence co-founder and CEO Josh Gruenstein discusses raising a $75M Series B to build and deploy factory robots across America. He explains why foundation models like GPT Astra unlock real-world physical automation, why 90% of US warehouses still lack a single robot, and how low-cost robotic labor could radically deflate physical goods. Check out our sponsor Lovable: https://lovable.dev...

Luke Alvoeiro from Factory breaks down Droid 1.0, introducing a programmatic tool calling engine that generates multi-step scripts to cut context bloat and boost agent reliability. He reveals how Droid secured an 8% lead over Claude Code on Terminal Bench 4 using identical frontier models, and shares his 5-year outlook for fully autonomous software factories. Check out our sponsor Lovable: https:/...

Larridin co-founder and CEO Russ Fradin breaks down data from their enterprise AI research and Anthropic's S-1 filing, showing how AI spend currently drives massive productivity gains for top engineers while lowering output for bottom performers. He outlines why enterprise agent adoption remains tiny, how companies must audit workflows to justify hundreds of billions in model spend, and when real...

Representative George Whitesides discusses the reality of recursive self-improvement inside frontier labs, his push to monitor automated AI R&D, and his call for a mandatory one-month pause on frontier model development modeled on aerospace flight halts. He also details congressional battles over funding the Center for AI Safety and Innovation, federal oversight of classroom AI use, and the ge...

Foundation for American Innovation research fellow Daniel King breaks down the impending race to industrialize outer space through rapid advancements in robotics and AI. He unpacks the real-world economics of orbital data centers, the strategic risks of chokepointed terrestrial launch infrastructure, and the rising push for commercial space titling over speculative galaxy distribution schemes. Che...