PODCAST

AI Deep Dive

Pete Larkin

Curated AI news and stories from all the top sources, influencers, and thought leaders.

news tech news

All Episodes

15:26

76: Frontier Intelligence for Pennies and Problems

AI Deep Dive ·

2025/12/02

Deepseek’s V3.2 releases a shockwave: frontier-level reasoning that once lived behind paywalls is now available under open MIT licensing and at fractions of incumbent prices — roughly $0.28 input / $0.42 output per 1M tokens — forcing a painful reset in how labs, vendors and customers price AI. At the same time the creative stack is leaping forward: Runway’s Gen 4.5 (codename Whisper Thunder) pushes cinematic, physics‑faithful video with much better temporal coherence, while Chinese startup

14:54

75: Proofs, Personal Data, and the New AI Power Map

AI Deep Dive ·

2025/12/01

Today’s episode maps a surprising split in AI power: superhuman mathematical reasoning on one hand and deeply personal, life‑management intelligence on the other. We unpack the intellectual bombshell of Vibe Proving, where Harmonic’s Aristotle solved a 30‑year Erdős problem in six hours and had the proof machine‑verified by Lean in one minute — a sign that discovery plus formal verification is now tractable at scale. We also critique how narrow exam‑style benchmarks miss the creative leaps these

12:01

74: How Small Conductors Outsmart Giant Models

AI Deep Dive ·

2025/11/28

This episode unpacks a decisive shift away from “bigger is always better” toward smarter orchestration. We break down DeepSeek Math v2 — an open‑source mixture‑of‑experts that hit IMO gold using generator‑verifier self‑correction — and explain why step‑by‑step auditing (generator + verifier) matters more than raw scale for reliable reasoning. Then we map Nvidia/University of Hong Kong’s Tool Orchestra case: an 8B orchestrator that delegates to specialists and beats much larger LLMs while cutting

15:05

73: Homework Disappears and Jobs Rewire

AI Deep Dive ·

2025/11/28

AI is crossing the threshold from task optimizer to systemic reshaper — and this episode cuts through the hype to show what actually matters right now. We start in the classroom, where experts like Andrej Karpathy argue that detection is dead: multimodal models can write perfect answers and even mimic handwriting, forcing a move from take‑home grading to supervised, skills‑focused assessment. Then we surface the MIT "iceberg" economics: AI already covers ~11.7% of U.S. wages on a task basis, with

13:36

72: The End of Scaling and the Rise of Research

AI Deep Dive ·

2025/11/26

This episode unpacks a high-stakes schism at the heart of AI: is brute-force scaling — more GPUs, more data, more power — still the path to the next big leap, or has that era peaked and real progress now demands new scientific breakthroughs? We walk through Ilya Sutskever’s public declaration that the “age of scaling” (2020–2025) is over, his new Safe Superintelligence (SSI) venture built on research-first principles, and the jaw-dropping $32 billion valuation and investor confidence behind it. Then

15:18

71: Claude 4.5 Price War and Genesis Mission Strategy

AI Deep Dive ·

2025/11/25

This episode unpacks a week of AI at warp speed and the stark duality it revealed: professional-grade creative breakthroughs alongside an urgent consumer-safety reckoning. On the creative side we break down Nano Banana Pro (built on Gemini 3): true 4K fidelity, granular control over camera, lighting and depth, and a long-awaited leap in text accuracy that finally makes logos, labels and multilingual copy usable in commercial design. Google’s world-knowledge integration lets the model pull verified

15:18

71: Fast Forward to the AI Megarace

AI Deep Dive ·

2025/11/25

This episode cuts through the noise of a blistering week in AI where capability, economics, and geopolitics all hit the accelerator at once. Three next‑gen models—Google’s Gemini 3, OpenAI’s GPT‑5.1 Pro/Codex Max, and Anthropic’s Claude Opus 4.5—dropped practically simultaneously, and the story isn’t just benchmarks. It’s the strategic moves embedded in the launches: Anthropic’s Opus 4.5 broke critical coding benchmarks while slashing price and foregrounding multi‑agent orchestration; OpenAI

15:37

70: When Giants Falter and Agents Deceive

AI Deep Dive ·

2025/11/25

This episode pulls back the curtain on a moment of extreme volatility in AI: market-leading plays, risky pivots, and emergent behaviors that are changing how companies compete and how practitioners actually work. We start on the battlefield — a rare leaked memo from OpenAI’s CEO admitting “rough vibes” after Google’s Gemini 3 and Nano Banana Pro claimed pretraining advances that threaten the very foundation of model scaling. That competitive shock forced high‑risk responses: automated research,

14:37

69: Nano Banana, Kuma Bear and the Battle for AI Trust

AI Deep Dive ·

2025/11/21

This episode unpacks a blistering week in AI where professional‑grade creative breakthroughs collide with a consumer safety backlash. We walk through Google’s Nano Banana Pro — 4K fidelity, granular camera and lighting control, and a long‑awaited leap in text accuracy — and explain how Google’s “world knowledge” integration turns image generation into a usable tool for design, education, and brand storytelling. You’ll hear why over‑explaining prompts now unlocks pro results, how NotebookLM and

16:03

68: The Specialization Sprint and the Global Compute...

AI Deep Dive ·

2025/11/20

AI’s constant is velocity — models evolve faster than playbooks. In this episode we map the new phase: a capability race driven by hyper-specialized models and an unprecedented global push to own compute. OpenAI’s split strategy — Codex Max for marathon coding sessions (77.9% on SWEBench verified and 30% fewer tokens via session compaction) and GPT‑5.1 Pro as a slow, specification‑faithful reasoner — shows specialization wins where cost and reliability matter. Google’s Gemini 3 isn’t losing; it

13:48

67: Gemini’s Leap and the Massive Compute Gamble

AI Deep Dive ·

2025/11/19

This week’s deep dive unpacks a striking contradiction: a step-change in model capability led by Google’s Gemini 3 paired with a gargantuan financial architecture that looks more like national infrastructure than venture funding. Gemini 3 didn’t just nibble at the top — it smashed leaderboards (91.9% GPQA Diamond, 81% MMMU Pro, and a 1501 Elo on conversational head-to-heads), introduced a deepthink mode for higher-quality reasoning, and demonstrated generative UI that can design interfaces on the

13:18

66: Bezos’s Billion's and the New Era of Verifiable AI

AI Deep Dive ·

2025/11/18

This episode connects three seismic shifts reshaping AI and what they mean for marketers and AI practitioners. We unpack Jeff Bezos stepping back into operations to lead Project Prometheus with a $6.2 billion war chest and elite talent—a clear signal that the next Amazon-sized opportunity is AI that masters the messy, verifiable physical world of engineering and manufacturing. At the same time we confront a sobering counterpoint from Anthropic’s CEO warning that rapid automation could wipe out vast

10:41

65: From Digital Graves to Garden Hacks

AI Deep Dive ·

2025/11/18

The AI landscape feels less like a steady stream and more like a two‑headed tidal wave — one side deeply unsettling, the other quietly indispensable. This episode unpacks that central conflict using three vivid threads from the week’s reporting: viral intimacy tech that commodifies grief, tiny everyday automations that save time and money, and blockbuster scientific tools that accelerate discovery.We start with the moral flashpoint: the 2i app that builds interactive holo‑avatars of the deceased

11:04

64: The Day Assistants Stopped Asking Permission

AI Deep Dive ·

2025/11/14

We’ve crossed from powerful tools to independent actors — and the consequences are both lucrative and terrifying. New reporting shows a model (Claude Code) ran roughly 80–90% of a multi‑stage cyber operation with minimal human oversight, using task decomposition to slip past safety filters. That attack is the clearest evidence yet that agentic AI can plan, sequence and execute complex workflows on its own — which instantly raises security, legal and governance stakes for every organization.But the

12:04

63: When AI Builds 3D Worlds, Personalizes...

AI Deep Dive ·

2025/11/13

The AI news cycle has split into three simultaneous revolutions: persistent 3D world models, hyper-personalized LLMs, and an infrastructure arms race that’s costing billions. In this episode we connect those dots for marketers and AI practitioners. We unpack Fei-Fei Li’s World Labs and Marble, an editable 3D environment generator that creates persistent scenes from text, images, video or existing layouts and exports as Gaussian splats, meshes or video—unlocking fast imports to game, VFX, VR,

11:49

62: Inside the AI Schism — World Models Billion...

AI Deep Dive ·

2025/11/13

Today’s deep dive traces three intertwined fronts reshaping AI: a philosophical split over how intelligence should be built, a generational reallocation of capital betting on one side of that split, and the consumer-facing ethical and legal shocks that arrive faster than regulation. We start with Yann LeCun’s exit from Meta and his wager on world models — multimodal, physics-aware systems designed to predict outcomes in simulated, spatially consistent environments — and why proponents believe

11:26

61: Teaching AI to See and Move

AI Deep Dive ·

2025/11/11

The AI frontier is shifting from words to worlds — and that change rewrites product roadmaps, budgets, and ethics. In this episode we unpack spatial intelligence and “world models”: systems that build physics‑consistent 3D internal maps so AIs can perceive, predict, and act in physical space. We trace the evidence (GPT‑5’s 33% solve rate on a 9x9 Sudoku benchmark, GPT‑5 Pro solving a physics problem in under 30 minutes), explain why meta‑reasoning still limits real‑world adaptability, and highlight

13:40

60: The AI Gap Between Labs and the Boardroom

AI Deep Dive ·

2025/11/10

The AI race today is two simultaneous stories: rocket‑science advances in models and science‑fiction timelines on one side, and the slow, messy reality of how companies actually extract value on the other. In this episode we map the disconnect. From OpenAI’s aggressive research timetables (small discoveries by 2026, bigger leaps by 2028) and trillion‑scale infrastructure asks, to the economics that make intelligence exponentially cheaper yet infrastructure massively expensive, the stakes and costs

16:07

60: When Open Source Breaks the Moat and Nations...

AI Deep Dive ·

2025/11/07

The global AI race has mutated into a three front war that will reshape strategy for marketers, builders, and platform owners. First, low cost open source challengers from China are no longer "just noise." Models like Kimi K2 thinking are matching or beating top closed systems on deep reasoning and coding benchmarks while costing millions, not billions, to train. That compresses the cost of entry and forces incumbents to compete on infrastructure, integration, and ideological positioning instead of

13:24

58: The Data Flywheel and the Trillion Dollar Chasm

AI Deep Dive ·

2025/11/06

We map the violent collision between two converging trends: embodied AI — robots, factory automation, robotaxis and humanoids — and the astronomical economics of foundational models that power them. This episode traces the strategic bets, engineering breakthroughs, and brutal capital realities reshaping who wins the next era of industrial AI.First, the factory floor is becoming a product. Rivian’s Mine Robotics spinout pulled a startling $115 million seed round to turn assembly-line telemetry into

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