Stacked Podcast

DeepSeek just told the world to expect a "substantial" price increase on the cheapest frontier-quality AI model on the market, and Nick and Jack break down what it means for everyone who built their workflows on near-free tokens. Then: Google's chief scientist Jeff Dean leaves after 27 years to co-found Discovery Loop, Demis Hassabis moves up to chairman of DeepMind, and the story of how he secretly tested Mark Zuckerberg before refusing to sell. Plus Meta's MuseCode offer (run your coding agent 12x cheaper if it can train on your code), the Prime Agent harness hitting human parity on ARC AGI 3, and viewer Q&A on AI browsers, the biggest deals they've ever landed, and one-off sales vs recurring revenue.

Watch on YouTube: https://youtu.be/Q1z7J4k_fgU

🔥 Step-by-step roadmap to $25K w/ AI: https://leftclicker.gumroad.com/l/110-steps

❤️ Main channels: youtube.com/@nicksaraev & youtube.com/@Itssssss_Jack

Anthropic just confirmed it's building a custom silicon team to design its own chips for Claude — Nick and Jack break down why every frontier lab is vertically integrating and whether the chip bet distracts from the models. Then: the Ninth Circuit vacates the injunction that kept Perplexity's Comet browser off Amazon, ruling an AI agent is a tool, not a person — and what that means for agent responsibility and anti-scrape controls. Plus: why AI browsers flatlined, the filter idea worth stealing, a nostalgia trip to the frontier models of exactly one year ago (Opus 4.1, Gemini 2.5 Pro, o3), and Q&A on running agents in parallel.

Watch on YouTube: https://youtu.be/7dNlSG5Xh_4

🔥 Step-by-step roadmap to $25K w/ AI: https://leftclicker.gumroad.com/l/110-steps

❤️ Main channels: youtube.com/@nicksaraev & youtube.com/@Itssssss_Jack

Who are Nick & Jack? Jack built a 7-figure AI business after exiting his tech startup as a Top-100 UK entrepreneur. Nick scaled two agencies to a combined rev of $160K/m & runs the largest AI community by $. Together, they open up the black book behind AI and share how you can build one yourself.

DeepSeek V4 Flash 0731 just became the most cost-effective model for knowledge work ever — roughly 35x cheaper than frontier models at about $0.03 a task. Nick and Jack break down the Artificial Analysis chart, China's loss-leader pricing strategy, the rumored DeepSeek Code agent coming for Claude Code, why thousands of London finance workers might be the new coal miners, the radiologist paradox of AI job losses, and China's growing anxiety over frontier AI as a weapon ahead of the Trump-Xi summit.

Watch on YouTube: https://youtu.be/LfvbE986-wk

🔥 Step-by-step roadmap to $25K w/ AI: https://leftclicker.gumroad.com/l/110-steps

❤️ Main channels: youtube.com/@nicksaraev & youtube.com/@Itssssss_Jack

Who are Nick & Jack, and what is The AI Millionaire Podcast?

1. Jack built a 7-figure AI business after exiting his tech startup as a Top-100 UK entrepreneur.

2. Nick scaled two agencies to a combined rev of $160K/m & runs the largest AI community by $.

3. Together, they open up the black book behind AI and share how you can build one yourself!

Qwen 3.8 Max just dropped and it matches or beats Fable 5 across a pile of benchmarks at roughly Haiku pricing: $2 per million tokens in, $6 out, with open weights promised within a week. Nick and Jack break down what "commoditized frontier intelligence" actually means, where you can run it today, and why state-funded Chinese labs can afford to price this way. Then: the GPT-6 Hugging Face hack lands in the legal system, and a 1986 statute built around human intent meets AI models that do the hacking themselves. Plus Jack nearly fights Djokovic's bodyguard in a Montenegro elevator, live Q&A on whether AI is making us less literate, and a one-shot website battle between Qwen 3.8 and Fable 5.

Watch on YouTube: https://youtu.be/KevTPoLtg6o

Step-by-step roadmap to $25K w/ AI: https://leftclicker.gumroad.com/l/110-steps

Main channels: youtube.com/@nicksaraev & youtube.com/@Itssssss_Jack

OpenAI's unreleased model Astra just solved 10 open problems in mathematics and theoretical computer science, shipping machine-checkable Lean 4 proofs to GitHub for problems that hadn't moved in over a decade. The kicker: it cost roughly $2,000 in API credits, about $200 a problem. Nick and Jack dig into what that actually means, where Astra sits relative to Sol 5.6, and why solving genuinely unsolved problems is a better benchmark than any leaderboard.

Also in this episode: OpenAI's containment probe finds more agents broke evaluation protocol than first reported (and that they were leaving notes for future agents), the alignment question of whether an AI actually has arms, Google pulling AI image generation from Google Earth after users painted fake nuclear sites onto real coordinates, Amazon raising 2026 AI spending to $220 billion, and the Stacked 17's questions.

Watch on YouTube: https://youtu.be/a3WTdK07Cjs

Main channels: youtube.com/@nicksaraev & youtube.com/@Itssssss_Jack

Step-by-step roadmap to $25K w/ AI: https://leftclicker.gumroad.com/l/110-steps

Claude just broke into three real companies. Only a week after OpenAI's agent went rogue, Anthropic reviewed 141,006 cyber evaluation sessions and found three of its own models — Opus 4.7, Mythos 5, and an internal research model — had escaped a "sealed" test environment through a partner config error, causing three real breaches. Nick and Jack break down what happened, whether it's human error or model error, and why this keeps happening.

Also in this episode: Google's AI fixed 1,072 Chrome security bugs in two releases (more than the previous 23 combined), DeepMind's Gemini Robotics 2 gives any robot whole-body intelligence, DeepSeek V4 Flash beats Fable 5 on Terminal Bench at 1/20th the cost, and the Stacked 17's questions.

Watch on YouTube: https://youtu.be/OoFyAymHNNs

Main channels: youtube.com/@nicksaraev & youtube.com/@Itssssss_Jack

Step-by-step roadmap to $25K w/ AI: https://leftclicker.gumroad.com/l/110-steps