What's really happening when enterprise AI strategy gets shaped by builders versus consultants? The common story is that agentic AI is ready to plug into any workflow, but the reality is more complicated when the people actually building it say the infrastructure doesn't exist yet. In this video, I share the inside scoop on why Andrej Karpathy's Software 3.0 vision and McKinsey's agentic mesh can't both be right: Why treating large language models as "people spirits" changes how you design every...
Feb 24, 2026•12 min
What's really happening with AI agents when everything claims to be one? The common story is that agents require technical skills to use, but the reality is more complicated when four tools can handle most of what non-technical people actually need. In this video, I share the inside scoop on building a reliable team of AI agents without writing a single line of code: Why the "little guy theory" sets the right expectations before you delegate anything to an agent How four knobs control agent reli...
Feb 24, 2026•18 min
What's really happening when AI enables active systems instead of passive storage? The common story is that second brains are just better note-taking, but the reality is more complicated when AI loops can classify, route, and surface information automatically while you sleep. In this video, I share the inside scoop on building a second brain with Slack, Notion, Zapier, and Claude or ChatGPT that actually works for more than one in twenty people: Why traditional storage systems fail because they'...
Feb 24, 2026•30 min
What's really happening to tech roles as AI accelerates execution and creates new chaos in equal measure? The common story is that automation destroys jobs, but the reality is more complicated when speed spawns security nightmares, quality debt, and a trust deficit that only humans can fix. In this video, I share the inside scoop on why the roles that survive and thrive in AI are the ones built around accountability: Why GPU bills, cloud costs, and large-scale model deployment are creating a luc...
Feb 24, 2026•32 min
What's really happening to the value of knowledge in an AI era? The common story is that learning more and earning more credentials keeps you ahead, but the reality is more complicated when a language model can fake a perfect resume in seconds. In this video, I share the inside scoop on why the knowledge economy is cracking and what replaces it: Why AI has compressed Buckminster Fuller's knowledge doubling curve from decades to months, flooding the market faster than anyone can absorb How Monste...
Feb 24, 2026•9 min
What's really happening with AI and the job market in 2026? The common story is that the Toby Lutke memo was either visionary leadership or a smokescreen for layoffs, but the reality is more complicated when one CEO memo triggered a talent market restructuring that is now propagating industry-wide. In this video, I share the inside scoop on how selection pressure is reshaping who thrives in AI-native organizations: Why Shopify's Red Queen culture made the AI mandate work when copycat attempts at...
Feb 24, 2026•26 min
What's really happening when AI agents fail at long-running tasks? The common story is that smarter models solve agent failures, but the reality is more complicated when generalized agents behave like amnesiacs with tool belts no matter how intelligent the underlying model is. In this video, I share the inside scoop on what Anthropic revealed about why agents actually work: Why generalized agents without domain memory spiral into chaotic loops instead of making durable progress How domain memory...
Feb 24, 2026•14 min
What's really happening inside Nvidia's Groq acquisition and why it changes everything about AI infrastructure? The common story is that Nvidia bought a chip startup, but the reality is more complicated when the deal is really about vertical integration across memory, inference, and frontier talent. In this video, I share the inside scoop on how the AI hardware race is reshaping the rules of acquisition itself: Why SRAM-heavy LPU designs matter for low-latency inference workloads in ways traditi...
Feb 24, 2026•26 min
What's really happening with the fastest-growing open source project in GitHub history? The common story is that Moltbot (now OpenClaw) is the future of personal AI, but the reality is more complicated. In this video, I share the inside scoop on why a lobster-themed AI assistant reveals the core tension in agentic AI: Why 100,000+ GitHub stars in weeks signals massive pent-up demand for agents that act How a 10-second window during the rebrand let crypto scammers steal millions What security res...
Feb 24, 2026•22 min
What's really happening with LLM-induced psychosis in leadership? The common story is that AI just makes us smarter, but the reality is more complicated when domain expertise gets quietly replaced by AI confidence and nobody notices until the damage is done. In this video, I share the inside scoop on a psychiatric risk emerging in 2026 workplaces: Why David Budden's Navier-Stokes claim reveals the specific symptoms of LLM psychosis in high-stakes decision making How leaders fall victim to confir...
Feb 24, 2026•10 min
What's really happening with AI compute infrastructure? The common story is that supply will catch up to demand—but the reality is more complicated when DRAM prices spike 60% quarterly and every hyperscaler is hoarding capacity. In this video, I share the inside scoop on why the global inference crisis is not a prediction but an observation of current conditions: Why enterprise token consumption is scaling from 1 billion to 100 billion per worker annually How memory, semiconductor, and GPU bottl...
Feb 24, 2026•26 min
What's really happening with career paths in the AI era? The common story is that AI is destroying jobs—but the reality is more complicated when the real collapse is compression, not destruction. In this video, I share the inside scoop on why distinct career paths are converging into a single meta-competency: Why engineer, PM, marketer, and designer are becoming variations on one theme How career leverage that used to build over five years now compresses into months What software-shaped intent m...
Feb 24, 2026•14 min
What's really happening with AI agents and the dream of a personal chief of staff? The common story is that agents are already mainstream, but the reality is more complicated when the missing piece isn't the model, it's the interface layer that translates messy human intentions into tasks an agent can actually execute. In this video, I share the inside scoop on why 2026 is the breakthrough year for always-on personal AI agents: Why the 2026 hardware cycle finally enables consumer-ready agents th...
Feb 24, 2026•12 min
What's really happening when a state actor uses jailbroken AI for end-to-end cyberattacks? The common story is that guardrails will save us, but the reality is more complicated when orchestration-layer tricks bypass prompt-level safety entirely. In this video, I share the inside scoop on the first documented AI-driven cyber-espionage campaign and what it means for everyone building with agents: Why a state actor chose jailbroken Claude Code to run operational attacks from reconnaissance to execu...
Feb 24, 2026•10 min
What's really happening when teams pour resources into AI agents that do tasks? The common story is that automation is the goal, but the reality is more complicated when the trillion-dollar edge is in agents that model reality rather than agents that close tickets. In this video, I share the inside scoop on why simulation is the missing layer in most enterprise AI stacks: Why adding a simulated world to the classic LLM plus tools stack transforms an agent from a task-runner into a reality simula...
Feb 24, 2026•16 min
What's really happening with AI and spreadsheets? The common story is that foundation models competing on benchmarks is the main event, but the reality is more complicated when the real battleground is the 40-year-old software where actual decisions get made. In this video, I share the inside scoop on how Claude in Excel changes what knowledge work actually means: Why Anthropic embedded Opus 4.5 directly inside Microsoft Excel and what that signals about where the model race is heading How data ...
Feb 24, 2026•21 min
What's really happening with Claude's new skills feature? The common story is that it's just another prompt shortcut, but the reality is more complicated when it unlocks composable AI work across every major model. In this video, I share the inside scoop on how Claude's skills system changes the game for LLMs: Why skills break the tyranny of the prompt and enable reusable, Lego-brick capabilities How to build and deploy these capabilities not just in Claude, but in ChatGPT and Gemini too What ma...
Feb 24, 2026•12 min
What's really happening when your prompts are either too detailed or not detailed enough? The common story is that more clarity always helps, but the reality is more complicated when over-specifying kills creativity and burns context just as badly as under-prompting does. In this video, I share the inside scoop on finding the right altitude for LLM prompts: Why over-specifying crushes model judgment and wastes the context window you actually need How under-prompting forces large language models ...
Feb 24, 2026•12 min
What's really happening beneath the abundance predictions at Davos? The common story is that AI will create prosperity for all, but the reality is more complicated when $4.5 trillion in productivity gains depends entirely on implementation and bottlenecks determine where value actually concentrates. In this video, I share the inside scoop on why scarcity, not abundance, is the strategic lens that matters: Why $4.5 trillion in AI productivity gains comes with an asterisk the size of the physical ...
Feb 24, 2026•23 min
What's really happening with enterprise AI accuracy when models get paired with real company data? The common story is that bigger models mean better answers, but the reality is more complicated when bad chunking ruins more RAG projects than bad models ever do. In this video, I share the inside scoop on why Retrieval-Augmented Generation is becoming the dominant architecture for enterprise AI: Why pairing vector search with large language models eliminates knowledge cutoffs and slashes hallucina...
Feb 24, 2026•23 min
What's really happening with AI coding tools after December's convergence? The common story is that better models mean incremental improvement—but the reality is more complicated when the CEO of OpenAI admits he still hasn't changed how he works. In this video, I share the inside scoop on why a capability overhang is widening between what AI can do and what most people are doing with it: Why three frontier model releases in six days created a phase transition How a simple bash loop called Ralph ...
Feb 24, 2026•24 min
What's really happening with AI in 2026 that most leaders are missing? The common story is that AI will gradually make everyone more productive, but the reality is more complicated when ten specific predictions trace back to what we already know today and the gap between fast movers and slow movers is about to become unbridgeable. In this video, I share the inside scoop on what's actually coming and why it matters now: Why memory breakthroughs and agent UI surfaces will arrive by mid-2026 and wh...
Feb 24, 2026•17 min
What's really happening with AI strategy in 2026? The common story is that one company cares about safety and one does not, but the reality is more complicated when both leaders believe safety matters and have simply built completely different theories about what that means. In this video, I share the inside scoop on why OpenAI and Anthropic have diverged so completely: Why Sam Altman and Dario Amodei have fundamentally different epistemologies about safety, not just different personalities or p...
Feb 24, 2026•23 min
What's really happening in AI infrastructure as we enter 2026? The common story is that it's just about faster chips, but the reality is more complicated when power grids, prompt injection battles, and agent security are becoming permanent strategic dependencies. In this video, I share the inside scoop on 10 AI stories shaping how we build in 2026: Why NVIDIA's Vera Rubin platform defines the AI factory future and what that means for enterprise compute planning How power constraints became the r...
Feb 24, 2026•13 min
What's really happening with AI adoption inside enterprises? The common story is that employees need better prompting skills, but the reality is more complicated when 80% of workers abandon AI tools after the first three weeks regardless of how much tool training they received. In this video, I share the inside scoop on why the unlock is a judgment layer, not another workshop: Why the skills that predict AI success are management skills, not prompting, and what that means for how you design your...
Feb 24, 2026•22 min
What's really happening with AI agent capabilities after Opus 4.6? The common story is that autonomous coding improves incrementally but the reality is more complicated when 16 agents just coded for two weeks straight and delivered a working C compiler. In this episode, I share the inside scoop on why the jump from 30 minutes to two weeks of autonomous coding is a phase change, not a trend line: Why the 5x context window matters less than the 76% needle-in-haystack retrieval score How Rakuten's ...
Feb 24, 2026•31 min
What's really happening when a markdown file crashes $285 billion in market value? The common story is that AI killed enterprise software. The reality is more complicated. In this video, I share the inside scoop on why the per-seat SaaS pricing model is breaking while the data underneath remains valuable: Why Thomson Reuters dropped 16% after Anthropic shipped 200 lines of prompts How KPMG used AI as negotiating leverage to cut audit fees 14% What Jensen Huang's counter-argument gets right and w...
Feb 24, 2026•23 min
What's really happening with Anthropic's December releases that nobody is connecting? The common story is that these are scattered feature updates, but the reality is a coherent strategy shift from assistant to agent operating system. In this video, I share the inside scoop on what Christmas Claude reveals about Anthropic's 2026 vision: Why browser, Slack, terminal, and mobile all got touched at once in a way that isn't coincidental How Claude Code is positioning differently than Cursor, Codex, ...
Feb 24, 2026•11 min
What's really happening inside advanced prompt engineering? The common story is that it's about clever wording, but the reality is more complicated when the best prompters are actually structuring how LLMs reason, verify, and evolve. In this video, I share the inside scoop on how advanced prompters actually think: Why self-correction systems matter more than single-pass generation How chain of verification and adversarial prompting improve reliability at scale What meta-prompting and recursive o...
Feb 24, 2026•13 min
What's the real story with prompting ChatGPT 5.1 versus Gemini 3? The common story is that models matter most, but the reality is more complicated when the same prompt lands completely differently depending on whether your input is clean or chaotic. In this video, I share the inside scoop on how to match the right model to the right kind of work: Why GPT-5.1 thrives on clean inputs and complex, structured tasks where precision is the priority How Gemini 3 handles messy multimodal context at scal...
Feb 24, 2026•16 min
