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

15:10

83: Reasoning That Wins the Putnam and Fits in Your...

AI Deep Dive ·

2025/12/11

This episode unpacks three converging forces reshaping AI: a leap in synthetic reasoning, real-world maps of how people actually use assistants, and high-stakes corporate and infrastructure pivots. We start with a jaw-dropping benchmark—Nomos1, a 30B-parameter open model, scored 87/120 on the 2025 Putnam (placing second among ~4,000 competitors) using a two-phase workflow of parallel solution generation, self-critique, and a tournament selector—an advance that outperformed a rival run under the same

16:07

Who Wins When $10 Slides and Laptops Replace Experts

AI Deep Dive ·

2025/12/10

This episode unpacks the seismic shift in AI from model size to real-world impact—and why that matters for marketers and AI practitioners. We start with Gigatime, Microsoft’s open model that turns a $10 tissue slide into diagnostic insights worth thousands by training on 40 million cell samples and validating on 14,000+ patients to build a 300,000-image tumor library across 24 cancers. The result: 1,200 previously hidden patterns that push population-scale medical insight into routine care and force

16:07

81: The Productivity Earthquake Shaping AI’s Next Act

AI Deep Dive ·

2025/12/10

This episode maps the data-driven leap that shows AI moving from incremental help to radical enablement across three fronts: enterprise productivity, hardware and workflow integration, and geopolitical economics. OpenAI’s first large scale enterprise report finds 75% of workers can now do tasks they literally couldn’t before, average ChatGPT business users save 40 to 60 minutes a day, power users gain more than 10 hours per week, and top coders show a 17x output gap—forcing HR and product leaders to

16:07

80: Orchestration Outsmarts Scale

AI Deep Dive ·

2025/12/08

The pace of AI advancement just flipped the playbook — clever orchestration is now competing with raw scale. Six months after top models struggled on the ARC AGI2 reasoning benchmark, a six-person startup called Poetic hit 54% (beating Google’s DeepThink at 45%) by wrapping Gemini 3 Pro in a strategic, self‑auditing meta layer — and did it for $30 per task versus DeepThink’s $77. That cost and performance delta means state‑of‑the‑art reasoning is suddenly accessible to much smaller teams, shifting

13:22

79: The Soul Document and the IPO Stress Test

AI Deep Dive ·

2025/12/05

Anthropic sits at a collision point most companies only dream of: a mission built around model safety and character is being pressure‑tested by an aggressive IPO race, enormous strategic investors, and the economics of a compute‑hungry industry. This episode walks through the leaked "Soul Document" that shapes Claude’s priorities (safety, ethics, functional emotions) and what it means that those philosophical choices are now being trained into a model while Anthropic prepares for a public listing

12:48

78: Fast Robots Slow Business Models

AI Deep Dive ·

2025/12/04

The gap between AI research and physical robots is collapsing faster than most businesses can price or trust it. This episode breaks down the simulation first playbook that turned a London startup’s 5 month humanoid build into a machine walking within 48 hours by packing 52.5 million seconds of reinforcement learning into two days of cloud time, and contrasts that with Tesla Optimus’s new untethered sprint and MIT’s bee sized microbot pulling 10 flips in 11 seconds. We trace how massive digital

12:20

77: Code Red: OpenAI Sounds the Alarm

AI Deep Dive ·

2025/12/03

OpenAI’s internal “Code Red” memo was just the loudest signal in a week that made one thing clear: leadership in AI is no longer a given. The competitive landscape has fractured into three simultaneous battlegrounds — raw performance (new short‑cycle models and benchmarks), enterprise stacks (cost‑efficient, vertically integrated full‑stack offers), and decentralized open‑source momentum (small, fast models running locally). Key developments to watch: OpenAI fast‑tracking tactical and long‑term

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

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