
Hosted by Jack & Nick · EN
Join Nick Saraev and Jack—two automation nerds obsessed with building real systems that print real cash—as they break down AI tools, automations, and B2B growth strategies that actually work.

A man representing himself in a Connecticut court hid prompt injection instructions inside his own legal filing, betting that the court would run it through an AI. The AI caught it and flagged him, but the bet itself says a lot about how many legal decisions are already being made by a model nobody is checking. Nick and Jack also get into the Anthropic CEO's wife being tied to Jeffrey Epstein and why coordinated discrediting pushes between labs are now part of the AI news cycle, plus the release of Gemini 3.7 Flash: nearly double its predecessor on automation benchmarks at 50% lower pricing. Watch on YouTube: https://youtu.be/OuxU70avqJw Step-by-step roadmap to $25K w/ AI: https://leftclicker.gumroad.com/l/110-steps Main channels: youtube.com/@nicksaraev & youtube.com/@Itssssss_Jack

Grok 4.6 just landed and it is basically on par with Fable 5 on the Artificial Analysis Intelligence Index, at roughly a third of the price. Nick and Jack break down what that actually means: why Grok scores higher on generating real economic value than on deep software engineering, and why those are genuinely different skills. Also in this episode: DeepSeek V4 Pro arrives at 11x less than Opus 5 and tops a security researcher's exploit test, the effort-level setting that quietly makes your model feel stupid, and Anthropic pointing an unreleased Claude at the Riemann hypothesis with 60 subagents and 650 discarded ideas. Watch on YouTube: https://youtu.be/cVWc4Zckm0o Main channels: youtube.com/@nicksaraev & youtube.com/@Itssssss_Jack Step-by-step roadmap to $25K w/ AI: https://leftclicker.gumroad.com/l/110-steps

Researchers just pulled the hidden reasoning straight out of Claude, GPT and Gemini by feeding it to weaker models, and it turns out the frontier labs' anti-distillation defense was readable all along. Nick and Jack break down what the decoded chain of thought actually looks like (it barely resembles human language), why the labs hide it in the first place, and whether you have a right to see how a model thinks before you trust its output. Also in this episode: Grokbot officially launches with its own cloud computer and signs into your apps without an API key, why X gives Elon unfair distribution for it, and Nvidia lining up $500 billion from six private capital firms to finance the customers buying its chips. Is compute the new collateral, or is this the graphic people point at after the great collapse of 27? Watch on YouTube: https://youtu.be/KVEfP3GjwhM Main channels: youtube.com/@nicksaraev & youtube.com/@Itssssss_Jack Step-by-step roadmap to $25K w/ AI: https://leftclicker.gumroad.com/l/110-steps

Anthropic just started watermarking everything Claude writes, worldwide. What began as an EU transparency requirement is now switched on globally: every Claude output carries a steganographic footprint, and generated files get signed C2PA provenance metadata. There's no public detection tool yet, which means the mark is there but nobody outside Anthropic can read it. Nick and Jack dig into why Anthropic would want its own outputs flagged (hint: training data pollution), whether this becomes a paid "remove the watermark" tier, and the collateral damage nobody's talking about. Kurzgesagt, one of the biggest educational channels on YouTube, got shadowbanned because the algorithm mistook their hand-made animation for AI slop. When being human starts costing you reach, the incentives get strange. Also in this episode: Meta open-sourced Muse Glimmer, a 30B agent model under Apache 2.0 that runs on a consumer GPU or an M4 Max MacBook. Anthropic filed confidentially for a September IPO at a $965B valuation, with a pitch leaning hard into biology and healthcare to counter public hostility toward AI. Higgsfield dropped a $2M fully-AI feature film with a real cast. Plus listener Q&A on when to launch a paid community and whether daily podcasting is too much. Watch on YouTube: https://www.youtube.com/watch?v=hjQd9vsde2w Step-by-step roadmap to $25K w/ AI: https://leftclicker.gumroad.com/l/110-steps Main channels: youtube.com/@nicksaraev & youtube.com/@Itssssss_Jack

Claude Code stops asking your permission next week. From August 14, new sessions on Pro, Max and Team default to auto mode, where a classifier reviews every tool call and blocks anything irreversible or destructive instead of prompting you. The reason is uncomfortable: across a 1,053-case study, human review caught just 13.6% of dangerous commands. Nick and Jack dig into what that means for anyone who has ever hit "bypass all permissions" at 1am. Also in this episode: the prompt injection numbers behind the Boris vs Tebow spat on Twitter (19% success on GPT 5.6, 0% on Opus), Amazon building what would be the largest gas power plant ever constructed in the US on a West Texas site that answers to no grid operator, why energy is becoming the real constraint on AI, and the Databricks finding that the AI coding bill is growing exponentially, plus the "efficiency frontier" they use to arbitrage the cost of intelligence. Watch on YouTube: https://youtu.be/9r4xn47CP2E 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 has delayed Astra again, and this time the reason is its own safety framework: the model reportedly crossed the "high" cybersecurity threshold, meaning it can identify and develop functional zero-day exploits. Nick and Jack dig into what that actually means. Is Astra genuinely too dangerous to release, or has "too dangerous to ship" quietly become investor bait? They trace the pattern back to GPT-2 in 2019, when OpenAI staged the release of a model that now looks like a tadpole, and ask why the same playbook keeps working. From there: the misalignment risk labs are reluctant to talk about publicly, whether a smarter model breaking containment is actually a hallmark of capability, and the concrete failure modes worth worrying about, from hacking financial infrastructure to AI-designed viruses. Also in this episode: Opus 5 quietly taking the number one spot on design arena while everyone dunks on it, ByteDance reportedly pre-training a 10 trillion parameter model, staged Silicon Valley launch videos, which harnesses Nick and Jack actually use day to day, and a Q&A on winning the day when outreach isn't converting yet. Watch on YouTube: https://youtu.be/ysQkbMC5ytc 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 just gave every free user unlimited access to Luna and pushed Sol down to the cheapest paid plan, which means frontier-quality AI is about to land in the hands of roughly a billion people who have never seen anything better than a basic free chatbot. Nick and Jack unpack what that does to the startup ecosystem, whether anyone can still compete on model quality alone, and why most people genuinely can't tell a mid-tier model from a flagship. Then: a New Mexico court orders Meta to pay $576 million into a remedy fund over harm to kids, with the judge comparing the company to a factory whose product is advertising and whose pollution is the psychological harm to children. Plus AMD buying Talos, whether governments should be regulating any of this, the $100K/month deal Jack almost landed and how a single warm intro started it, DeepSeek raising prices specifically to shed customers, and why Anthropic wants Claude locked inside its own ecosystem. Watch on YouTube: https://youtu.be/g7r6snkyFzY 🔥 Step-by-step roadmap to $25K w/ AI: https://leftclicker.gumroad.com/l/110-steps ❤️ Main channels: youtube.com/@nicksaraev & youtube.com/@Itssssss_Jack

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!