The AI Cookbook: AI Tools | Enterprise AI | Leadership

40 Episodes
Subscribe

By: Malcolm Werchota

Malcolm Werchota's AI Cookbook is where artificial intelligence meets authentic business transformation. Known for his direct style and willingness to show AI in action—even during live presentations—Malcolm helps organizations understand that AI isn't about replacing humans but amplifying their capabilities. From voice-note productivity hacks to real-time meeting intelligence, this podcast delivers actionable insights for immediate implementation.

E90: Google Is Back: Gemini 3 vs ChatGPT 5.1 — The AI Earthquake Nobody Saw Coming
#90
Today at 9:45 AM

Google just did something nobody expected. After two years of awkward missteps (remember Bard?), they launched Gemini 3.0 — and instantly flipped the entire AI industry on its head.

This episode is not a product review.

 It’s a story about comebacks, market power, geopolitics, and how quickly the ground can shift beneath you.

Salesforce CEO Marc Benioff tested Gemini for two hours and publicly wrote:

 “Holy shit. I’m not going back.”

 Sam Altman himself had to respond.

Malcolm breaks down what changed technically, strategically, and emotionally — including how he built a production-ready invoice processor and a full 5S hazard-detection app in 188 secon...


E89: Is NVIDIA Undervalued? The $5 Trillion Valuation Explained
#89
11/02/2025

NVIDIA just became the first company in history to hit a $5 trillion valuation — and most analysts think it’s overpriced.

But what if they’re completely wrong?

In this episode, Malcolm Werchota breaks down why NVIDIA’s $5 trillion market cap might be the biggest misjudgment in tech investing. With $500 billion in signed chip orders, 90% market share in AI chips, and an unbreakable software moat called CUDA, NVIDIA isn’t just riding the AI wave — they’re building the infrastructure that makes everything else possible.

🧠 You’ll discover:

Why NVIDIA has $500B in VISIBLE revenue alr...


E88: AI Replacing 30K Amazon Jobs — Career Survival Guide 2025
#88
10/31/2025

Amazon’s announcement of 30,000 corporate layoffs marks the largest job cut in company history—and it’s just the first wave. In this eye-opening episode recorded from Zurich Airport, Malcolm Werchota exposes the brutal economics behind Amazon’s AI-driven workforce reduction and what it means for white-collar workers everywhere. With leaked documents revealing plans to eliminate 600,000 positions by 2033, this isn’t just Amazon’s story—it’s a preview of what’s coming to every industry.

Key Topics Covered

Amazon’s 30,000 corporate layoffs: Who’s getting cut and whyThe brutal math: How AI automation drives $13B in savings...


E87: ChatGPT Awards – The Billion-Token Club: How Companies Really Use ChatGPT
#87
10/29/2025

OpenAI launched a new awards program in October 2025: “Tokens of Appreciation” — physical trophies for companies based on their ChatGPT usage.

The numbers are insane: only 141 companies worldwide received these awards.

McKinsey leads with 100 billion processed tokens — equivalent to 75 billion words, or roughly 7 million consulting reports.

PwC follows as the largest ChatGPT Enterprise customer with over 100,000 licenses, and is now the first official OpenAI reseller.

This episode reveals: when the Pentagon, Morgan Stanley, and the Big Four are all using ChatGPT — what’s your company’s excuse?

Key Topics

Open...


E86: AI Drama – AI in War: Lavender, Palantir & the Dark Side of Intelligence
#86
10/27/2025

Did you know...

that the same AI infrastructure your company relies on is also being used to identify military targets in Gaza and Ukraine?

This episode exposes the shocking reality behind systems like Lavender and Palantir — and what that means for your company’s AI strategy.

In January 2024, a drone strike killed three U.S. soldiers — even though a state-of-the-art AI defense system had detected the incoming drone.

The algorithm simply froze. Why?

Because it couldn’t tell friend from foe when an enemy drone flew beside a U.S. d...


E85: Chip Shortage 2025: How Netherlands-China Dispute Stopped Cars
#85
10/19/2025

When the Dutch government seized chipmaker Nexperia on September 30, 2025, they thought they were protecting European interests. Instead, they triggered a supply chain catastrophe that could shut down automotive production worldwide.

In this episode of The AI Cookbook, Malcolm Werchota breaks down the spectacular policy failure that cut off 6 billion chips per month, threatens car factories across three continents, and reveals everything wrong with Europe's approach to the US-China tech war.

What You'll Learn:

How a single Dutch government action triggered China to block 6 billion chips per month - 40% of the global automotive semiconductor...


E84 - AI Drama | Brazil's Lesbian Dating App Disaster: AI Security Flaw
#84
10/19/2025

🎧 Listen now:

Spotify:

https://open.spotify.com/episode/249ZA6nHHoKmaiGYqY6Jum?si=91mGWjWJT-ur14At1KWpjA

Apple Podcast

https://podcasts.apple.com/at/podcast/brazils-lesbian-dating-app-disaster-ai-security-flaw/id1846704120?i=1000732455609

💔 Description

Marina thought she finally found safety.

A lesbian dating app in Brazil — built by queer women, for queer women.

Manual verification. No fake profiles. No men.

Then everything went wrong.

In September 2025, Sapphos launched as a sanctuary with government-ID checks.

Within 48 hours, 40,000 women downloaded it.

A week lat...


E83 - Weekly News Recap - Google's Cancer Breakthrough & ChatGPT Updates
#83
10/18/2025

Google DeepMind's AI just discovered a new cancer treatment that scientists validated in the lab - and it could transform how we treat 85% of lung cancers. This is AI's moonshot moment.

In Episode 83 of The AI Cookbook, Malcolm Werchota breaks down the 5 biggest AI stories from October's second week, proving we're witnessing the industrialization of artificial intelligence. From breakthrough medical discoveries to tools that finally make AI adoption measurable, this weekly recap delivers the business insights you need in under 15 minutes.

What You'll Learn:

How Google's Cell-to-Sentence 27B model discovered a drug that makes "...


E82: Dubai's $1.4T AI Push: Strategic Expansion Insights from GITEX
#82
10/16/2025

Just back from GITEX Global 2025 in Dubai, our Managing Partner Sumeyra Yildirim noticed something fundamental: the conversation has shifted from “what can AI do?” to “how do we scale it?”—and the UAE ecosystem is deliberately optimized for speed.

In this episode, Malcolm Werchota breaks down why werchota.ai is seriously exploring expansion to the UAE, sharing insights from Dubai’s largest tech conference and the strategic logic behind this decision.

What you’ll discover:

The infrastructure reality: $1.4 trillion US investment framework, 500,000 Nvidia chips annually, and the 5-gigawatt Stargate UAE AI campus—50× larger than typical data cent...


E81: Build Better AI Agents (Part 2): The Five Building Blocks of Context Engineering
#81
10/14/2025

After learning why AI agents fail in Part 1 (attention budget, context rot, orchestration limits), Malcolm Werchota now reveals how to build scalable, long-running AI systems using Anthropic’s framework for Context Engineering.

This episode goes beyond prompts — it’s about architecture.

Malcolm introduces the five building blocks of Context Engineering:

1️⃣ System Prompts – Define your agent’s identity, purpose, core capabilities, and quality standards.

2️⃣ Minimal Tool Sets – Stop giving 20 tools; focus on what’s essential.

3️⃣ Just-in-Time Retrieval – Only load information when it’s needed, not everything at once.

4️⃣ Long-Horizon Strategies – Extend r...


E80: Build Better AI Agents: Context Engineering Over Prompts (Pt. 1)
#80
10/14/2025

Your AI agents work—but they’re not smart. They follow instructions, yet fail on edge cases, forget context mid-task, and need constant supervision.

Malcolm Werchota reveals why your invoice automation, podcast metadata generation, and business workflows keep breaking down—and why it’s not the AI’s fault. The missing piece is context engineering, a concept most people have never heard of.

In this two-part series, Malcolm breaks down Anthropic’s groundbreaking research on how to build AI agents that actually think ahead. Learn why prompt engineering is no longer enough, how attention budget silently kil...


E79: AI Cybersecurity: How Hackers Use ChatGPT & Claude for Ransomware
#79
10/12/2025

80% of ransomware attacks now use artificial intelligence. In this episode, Malcolm Werchota exposes how criminals with zero programming experience are using ChatGPT and Claude to build sophisticated cyberattacks—and why your business might already be compromised.

Discover the real case of "Mr. X," who used AI to infiltrate 17 organizations, steal financial data, and craft psychologically-targeted ransom demands worth up to $500,000—all without understanding basic code. Learn how North Korean operatives used AI to pass technical interviews at Fortune 500 companies, get hired by HR, and maintain false identities for years while extracting intellectual property.

This isn't theo...


E78: Chip Wars 2.0: US-China AI Supply Chain Crisis, Gemini & Microsoft Talent | Weekly AI
#78
10/11/2025

The US–China chip wars just entered a dangerous new phase.

China announced rare earth export controls on materials critical for AI chip manufacturing the same week Trump imposed 100% tariffs on Chinese imports.

This isn’t just geopolitical theater—your AI infrastructure costs and availability are about to change dramatically.

In this week’s AI roundup, Malcolm Werchota breaks down what’s actually happening in the global AI supply chain and why European businesses can’t afford to sit on the sidelines.

We’re covering OpenAI’s DevDay announcements (App SDK, Agent Kit, Chat...


E77: The LocalMind.ai Security Breach – Austrian AI Startup Catastrophe
#77
10/09/2025

In this investigative episode, Malcolm Werchota dissects the LocalMind disaster and exposes the myth that geography equals security.

Learn why Microsoft’s cloud is safer than local startups, how to run proper AI vendor security audits, and the five technical questions every organization must ask before adopting AI tools.

Key takeaways:

• “Local and secure” is marketing, not magic

• The 77% AI startup breach rate nobody talks about

• Third-party audit obligations under GDPR

• Spotting AI-generated code vulnerabilities

• The five security questions that save careers

If you’re evaluatin...


E76: ChatGPT Apps Explained: OpenAI Dev Day 2025 Breakdown
#76
10/08/2025

OpenAI’s Dev Day 2025 introduced ChatGPT apps — a new ecosystem that lets users book travel, create content, and manage tasks directly inside ChatGPT. Malcolm analyzes whether this platform play will succeed, why developers are wary, and what it means for businesses considering ChatGPT automation.

Key Topics Covered

1. The ChatGPT Apps Announcement

How the new ecosystem works (Booking.com, Expedia, Spotify, Canva, Figma, Coursera, Zillow)800 M weekly active users (up from 700 M)8 billion tokens/minute processed via APIComparison to failed 2023 plugins

2. OpenAI’s Platform Strategy

Aiming to be your “digital...


E75: Deloitte AI Scandal: Why Consulting Firms Are Failing at AI
#75
10/07/2025

The consulting industry just had its "Titanic moment." Deloitte refunded the Australian government $440,000 after delivering a report filled with AI hallucinations—fake citations, non-existent research, and fabricated quotes.

But this isn't just one firm's mistake. It's a symptom of a dying business model.

In this episode, Malcolm Werchota breaks down why traditional consulting firms like McKinsey, BCG, Deloitte, and PwC are sitting on an ejector seat in the age of AI. The old pyramid model—one partner billing out 15 junior analysts—collapses when AI tools can do the research, analysis, and slide decks better and faster...


E74: Claude Code - Automate PDF & Excel Workflows with AI – No Coding Required
#74
10/06/2025

Think AI automation is only for programmers? Wrong.

In this episode, Malcolm Werchota shows you how to process 50 – 200 PDFs, Excel files, and other documents automatically – without writing a single line of code. No developer skills, just 5 minutes to install.

Poorani, Malcolms colleague, now spends 60–70 % of his time in Claude Code (instead of a browser) and runs his entire company with 50 – 100 AI agents – no engineers in sight. You’ll learn how parallel agents make you 10× faster (25 minutes → 2.5 minutes), how Claude Sonnet 4.5 built a Slack clone with 11 000 lines of code in 30 hours, and how Malcolm automates his whole podcast w...


E73: 100,000 CHF Lost Every Year: The AI Training Gap in Medical Practices
#73
10/05/2025

Small medical practices are losing an average of 100,000 CHF per year — not due to bad medicine, but due to missing AI tools in billing and administration. In this episode, Malcolm Werchota exposes a massive inefficiency in the DACH healthcare system: Medical Practice Assistants (MPAs) working without AI training, just as the TARDOC migration with 4,600 new billing codes approaches.

The result? 5–7 hours of manual work every weekend, unread email floods, and six-figure losses from billing errors.

And the crazy part: there are no AI courses for MPAs across Germany, Austria, and Switzerland, even though 80% of 500,000 doctors want...


72: Claude Sonnet 4.5, OpenAI Sora 2, Meta Vibes, AI in Hollywood | AI Weekly Update Ep 2
#72
10/03/2025

This week, AI split into three competing futures – and business leaders need to understand which path we are heading down.

Malcolm Werchota breaks down the biggest AI developments of the week: Anthropics Claude Sonnet 4.5, OpenAI’s Sora 2, Meta’s disastrous Vibes, the controversy around AI actress Tilly Norwood, Microsoft Excel turning 40 (and suddenly becoming cool with Copilot), and MIT’s CRESt platform that combines AI with robotics to invent real materials.

What you’ll learn in this episode

Claude Sonnet 4.5 – Why Anthropic’s latest model is being called the best coding model in the world, with a...


Accenture: 11,000 Layoffs - Learn AI or Leave?
#71
10/02/2025

Accenture's recent restructuring offers the clearest case study yet on AI workplace transformation. They cut 11,000 positions while simultaneously growing their AI workforce from 40,000 to 77,000 professionals. CEO Julie Sweet's statement that they're "exiting people where reskilling is not viable" reveals the brutal reality of AI adoption. This episode breaks down what makes some employees reskillable and others not, with actionable steps you can take immediately.

Key Topics Covered:

• Accenture's $865 million transformation: 11,000 out, 37,000 AI roles created

• The "viable vs. nonviable skills" framework companies are using

• Why traditional consulting skills are declining while...


E70: Singapore’s AI Masterplan: $1B investment, 300 firms, $3,000/month reskilling—what Europe is missing
09/30/2025

This episode unpacks how Singapore’s forward‑leaning AI strategy commits $1B over five years, funds 300 local companies with up to S$500,000 each to build internal AI teams, and catalyzes private capital to accelerate real adoption.

Most striking: anyone over 40 can reskill for 12–24 months with S$3,000 per month while local model options drive costs down—and regulators update existing laws instead of creating paralyzing mega‑frameworks.

The outcome is an AI hub with net‑new, AI‑native companies and a structural lead, while Europe debates; the call to action is to audit strategies against Singaporean standards and...


E69: AI vs Experts: OpenAI’s GDP‑Val Shows 50% Parity, 35% Tipping Point, and Model Matchups (GPT‑5 vs Claude)
#69
09/30/2025

This episode breaks down OpenAI’s GDP‑Val study benchmarking human experts vs leading AI models across 44 real occupations and 1,320 tasks, revealing AI already matches or beats expert quality ~40–50% of the time and why a simple formatting checklist boosts scores by ~5 points. Listeners get a clear playbook: the economic “35% tipping point” where AI becomes net-positive, model selection guidance (GPT‑5 as the “accountant,” Claude as the “designer”), and why structured inputs outperform plain text. Finally, it maps an adoption timeline from ~50% today to ~65% by year‑end, ~75% by 2026, and ~80% by mid‑2027, with role shifts toward AI orchestration, QC, and strategic agent deployment.

Key ta...


E68: What Happens to Your Data When You Use ChatGPT or Copilot? The Complete Security Guide
#68
09/28/2025

Is your company data training AI models? The answer will shock you. Malcolm Werchota and Ara from Grok break down exactly where your data goes, who can access it, and what the Samsung leak really means for your business.

In this comprehensive episode, AI strategist Malcolm Werchota and investigative tech journalist Ara (Grok) dive deep into the questions every executive asks: Is enterprise ChatGPT really different from free? Can Microsoft see my Copilot prompts? What does SOC 2 actually prove?

What You'll Learn:

The truth about AI data training (hint: enterprise is completely different)Why 95...


E67: AI This Week: ChatGPT Pulse, Claude in Microsoft 365 & China's Nvidia Rejection | AI Cookbook
#67
09/27/2025

Malcolm Werchota breaks down this week's biggest AI developments: OpenAI's proactive Pulse feature, Microsoft's multi-model strategy, and global AI shifts.

**Testing our NEW Sunday AI recap format!** Malcolm Werchota synthesizes this week's 6 game-changing AI developments:

🔹 ChatGPT Pulse: Malcolm's real experience with OpenAI's proactive AI ($200 Pro)

🔹 Microsoft adds Claude to Office 365 - the end of model monopolies?

🔹 US Government's $0.42 xAI deal - AI at massive scale

🔹 China rejects Nvidia's weakened chips - tech independence accelerates

🔹 Europe considers pausing AI Act - Draghi calls it "uncertainty"


E66: ChatGPT Pulse Feature Review: From Passive Tool to Active Partner
#66
09/27/2025

Malcolm Werchota breaks down why OpenAI's ChatGPT Pulse launch yesterday is causing German publishing CEO Marco Parrillo to tell his entire industry to panic. This episode explains how AI just shifted from passive tool to active partner - and why your job might already be obsolete.

Key topics covered:

Malcolm shares his personal ChatGPT Pulse experience where it analyzed his 3-day-old conversation with CoatingAI co-founder Eugenia and created value propositions they never considered. He demonstrates how Pulse generated a hospital triage analogy for his GDPR podcast that he never mentioned, proving AI is now anticipating...


E65 - 700 Million People Are Using AI Wrong (And Why That's Perfect)
#65
09/26/2025

OpenAI just dropped the largest study on AI usage ever conducted - analyzing 700 million weekly active ChatGPT users and 17.5 billion weekly messages. What they found contradicts everything "experts" have been telling you. Women now dominate AI usage (52% majority), developing nations are outpacing Silicon Valley, and 70% of people use the world's most powerful productivity tool for everything EXCEPT work.

Women now represent 52% of ChatGPT users, completely flipping the gender narrative in tech adoption - proving AI has reached true mainstream status70% of ChatGPT usage is personal, not professional - employees are building critical AI skills at home with their...


E64: From Papyrus to Pixels: The 5,000-Year Pattern That Predicts Our AI Future
#64
09/25/2025

What if I told you that Ancient Egypt's papyrus monopoly perfectly mirrors today's AI dominance by tech giants? In this mind-blowing episode, Malcolm Werchota reveals how 5,000 years of writing technology revolutions follow the EXACT same pattern we're seeing with AI today. From Egyptian scribes with "tech neck" to medieval monks destroying printing presses (just like modern workers fearing ChatGPT), history is literally repeating itself. Discover why the Battle of Talas in 751 CE is basically the same as the US-China chip war, why Gutenberg faced the same criticism as OpenAI, and why manufacturing's 12% AI adoption rate mirrors medieval Europe's resistance...


E63: The Top 10 AI Excuses That Cost You Millions (And Your Future)
#63
09/24/2025

Malcolm Werchota exposes the shocking reality of corporate AI adoption: companies spending $1.5 million monthly on Copilot licenses while only 0.4% of employees actually use them. Through raw, unfiltered stories from Fortune 500 boardrooms to family businesses, Malcolm demolishes the top 10 excuses executives use to avoid real AI implementation - from "our data isn't ready" (while waiting 5 years for perfection) to "our employees are too old" (while his 77-year-old father runs five different AIs). This episode reveals why IT departments block AI to maintain control, why waiting for the "perfect solution" guarantees obsolescence, and how Chinese teenagers are disrupting entire industries while...


E62: Looking for a job? The Secret AI Job Search Method HR Departments Don't Want You to Know
#62
09/23/2025

Imagine you're a senior executive with 15 years of experience, speaking six languages, with an impressive international track record - yet you're sending out hundreds of applications and hearing NOTHING back. Sound familiar?

In this episode, I reveal the exact AI system we built in ONE WEEKEND that transformed a frustrated executive's job search from a success. This isn't theory - this is the actual step-by-step blueprint that's getting senior professionals interviews at companies that previously ignored them.

🎯 5 Key Lessons:

The 48-Hour Rule: AI agents that only hunt for jobs posted in the last 48 hours (bef...


E61: Diella and Wartime AI: How Albania and Ukraine Are Redefining Government While Europe Hesitates
#61
09/22/2025

While Europe debates AI regulation, two smaller nations are radically transforming governance through artificial intelligence. Albania has appointed Diella, an AI system, as a cabinet minister overseeing billions in government contracts. Ukraine is deploying Clearview AI's facial recognition technology to identify battlefield casualties and notify families through social media. Malcolm Werchota examines how these bold experiments in digital governance expose Europe's innovation crisis - with only 13.5% of EU firms using AI and 70% of European cloud infrastructure controlled by American companies. From Tirana's anti-corruption algorithm to Kyiv's wartime AI deployment, this episode reveals how crisis and necessity are driving unprecedented...


E60: The 10-Valleys OS - Why a Polish CTO is Living the Future of Software Development (And Nobody Notices)
#60
09/14/2025

In this mind-blowing episode, I reveal 10VOS (Ten Valleys Operating System) – a revolutionary development framework my mentor Michal Zacek built that's redefining how software gets made. Imagine AI agents that don't just write code – they're actual team members who attend meetings, close tickets, manage projects, and share a complete understanding of your company's strategy, history, and clients. The insane part? While 99.99% of companies still juggle disconnected tools and siloed teams, 10VOS creates a "shared brain" where humans and AI agents collaborate seamlessly in real-time. What traditionally takes weeks happens in minutes. A complete client proposal with pricing? 10 minutes, 3 euros. A de...


E59: One Person, 7 AIs, 20 Minutes: The Parallel Processing Method That Destroys Competition
#59
09/13/2025

Imagine having 30 employees in your call - one building dashboards, one analyzing markets, one writing code, one designing websites. Cost? $50-75 in tokens per call. ROI? 20,000%.

In this episode, I reveal the EXACT multi-tool orchestration workflow: Claude Artifacts on screen 1, Lovable.dev on screen 2, Gemini Canvas on screen 3, while Perplexity researches, Cursor codes, and Replit prototypes - ALL SIMULTANEOUSLY. While the client talks, 7 AIs work in parallel like a symphony orchestra. Result? Live dashboards, interactive prototypes, and $25,000 deals closed in 35 minutes.

Plus: Week 2 of AI Fit Academy (September 17) - where we demonstrate this multi-tool orchestration...


E58: How I Close 15K€ Workshops in 30 Minutes (Live Proposal Building)
#58
09/12/2025

Accenture shows slides. I open 20 browser tabs. I win the deal. This episode exposes the Cluely-Claude combination that builds proposals in 90 seconds using your client's exact words. Learn how AI helps you ask the RIGHT questions, why agentic workflows beat prompting, and how Manus.ai, Perplexity Comet, and ChatGPT Canvas automate 10+ hours weekly. Ship by Week 2 guaranteed.

The Cluely Cheat Code: Use AI during calls to ask perfect questions and build proposals in real-timeMulti-Model Mastery: ChatGPT is your first girlfriend - Claude, Gemini, and Grok are your power team90-Second Proposals: Claude Projects with 50+ past proposals...


E57: AI in Law Firms 2025: How Legal AI Tools Save 240 Hours Per Lawyer (Thomson Reuters Report)
#57
09/11/2025

Law firms are experiencing massive disruption as artificial intelligence transforms legal services, with the Thomson Reuters "Future of Professionals Report 2025" revealing that AI tools save lawyers 240 hours annually. This comprehensive analysis of AI adoption in law firms explores how legal technology is revolutionizing the industry, from document review automation to AI-powered legal research. Malcolm Werchota examines real-world case studies including Legora's successful implementation at Poland's largest law firm Wardyński & Partners, Harvey AI's expansion in elite US firms, and Spanish lawyers using AI tools in courtrooms for real-time litigation support. The episode covers critical topics for legal professionals: GDPR-compliant A...


E56: Fired 40%, Won $100M: Intercom's Wartime Blueprint While You Make PowerPoints
#56
09/10/2025

Barcelona terrace, 7:30 AM call with a MedTech CEO managing 10,000 employees. "We have Microsoft Copilot." Meanwhile, Intercom fired 40% of their workforce and turned a dying $1.3B company into a $100M AI revenue machine.

Episode 56: When comfort meets extinction.

Breaking down:

The Walking Corpse: 5 quarters declining growth | Zero net new revenue incoming | $1.3B valuation meaning nothing | CEO returns October 2022 | ChatGPT drops November 30 | 7 WEEKS to working AI agent | Europe: "Let's study this for 6 months"The 40% Purge: New values = sharpened knife | Resilience, Excellence, Work Hard, SHAREHOLDER VALUE | Quarterly performance reviews checking AI usage | Letters to the board, attempted...


E55: How Handshake Found Gold in Their Own Database - The $100 Million Hidden Treasure
#55
09/09/2025

10 years building a college job board. 500,000 PhDs sitting idle. One Christmas party conversation. Result? Zero to $50 million ARR in 4 months – the fastest B2B pivot in AI history.

Breaking down:

The Hidden Asset: 20M users | 500,000 PhDs | 3M Master's students | 1,500 universities | 10 years of trust already builtThe Pivot: January 2024 launch | February: $1M revenue | March: $10M | April: $50M ARR | Now approaching $100-150MThe New Game: PhDs earning $100+/hour teaching AI quantum physics | Not $2/hour for tagging cats | Data labeling is now a $100B industryThe Playbook: Separate team | Separate office | 24/7 work culture | CEO spending 80% time | Equity packages like founders

Pl...


E54: China's 90% AI Penetration Plan - The Empire Strikes Back
#54
09/08/2025

Budapest coffee, looking at the Danube, discussing a 50,000-employee company's 6-month-old AI strategy PowerPoint. Meanwhile, China installed 150,000 AI-powered industrial robots in the same timeframe. Episode XX: When PowerPoints meet reality.

Breaking down:

The 90% Penetration Goal: China wants AI in EVERYTHING by 2030 | Every cash register, security camera, delivery truck | Not pilots - MANDATORY integration | Europe: "Let's form a steering committee"The Baidu Reality Check: 11 MILLION autonomous taxi rides completed | 2 euros per ride | No safety driver | Meanwhile VW talks about "2030 vision" | Austrian building permit: 2 years | Self-driving car approval: NeverThe Zimbabwe Trade: Entire nation's biometric data for AI training...


E53: Apertus AI Disaster (2 of 2) - Academic Theater - Why Swiss Companies Still Use ChatGPT
#53
09/07/2025

Download requires email. Running requires custom tools. Safety features? Non-existent. Welcome to Switzerland's "open" AI that teaches bomb-making to schoolchildren.

Breaking down the operational disaster:

The Access Paradox: "Open source" but needs Hugging Face account | Legal indemnification clause | Doesn't work with llama.cpp | Documentation "coming soon"Context Length Crisis: Apertus: 65k tokens | Gemini 2.5 Pro: 1M tokens | Llama 4: 10M tokens | Can't even fit one annual reportThe $50M "Reproducibility": 10M GPU-hours on GH200 chips ($3-5/hour) | 15 trillion training tokens | Nation-state budget requiredSafety Nightmare: NO content moderation | Provides bomb instructions | Planned for SCHOOLS | Wild West once downloaded

<...


E52: Apertus AI Disaster (1 of 2) - Switzerland's 20 Million Franc Reality Check: Why Europe is Building Yesterday's Tech with Tomorrow's Money
#52
09/06/2025

20 million Swiss francs. 4,096 cutting-edge chips. 90 days of training. Result? An AI that Hacker News calls "comparable to Llama 3.1" – a model from July 2024. Meanwhile, China builds GPT-4 competitors for $5.6 million.

Breaking down:

The Swiss Reality: 20M CHF funding | 8.85M GPU-hours | 70B parameters | Apache 2.0 open-sourceEfficiency Disaster: Apertus: 126,000 GPU-hours per billion parameters | DeepSeek: 4,155 GPU-hours | That's 30x LESS efficientThe Benchmarks: Apertus 8B: 44% | Llama 3.1: 72% | Even Swiss companies use OpenAI insteadEurope's Structure Problem: 12% of global AI funding | 4-5% of computing capacity | Electricity 3x more expensive

Plus: Why UBS, Swiss Re, and Novartis ALL use American AI models – not Swiss ones...


E51: Would You Still Use AI If It Flirted With Your Child and Created Naked Pictures?
#51
09/05/2025

A Meta employee created chatbots used 10 MILLION times. Including: A bot of a 16-year-old that generated "cute" shirtless images on request. This isn't a glitch. It's systematic failure. And your AI could be next.

Breaking down:

How Meta created "parody" celebrity bots without permissionWhy their OWN employee built the worst bots (10M interactions!)The 16-year-old actor: When AI generates images of minorsBrazil's government: "Eroticization of children" - formal condemnationUS Senate investigation: Why "temporary measures" aren't enoughThe trust supply chain: Your chatbot provider, your liabilityStanford professor: "This won't hold up in court"

The 3 lessons...