👔 The Boss
Just got back from a conference. Has opinions. Confidently wrong.
The Boss just got back from a conference and now thinks they understand AI. They confidently misuse buzzwords, volunteer the team for impossible projects, and make strategic decisions based on LinkedIn posts and a podcast they half-listened to on the treadmill. They have just enough knowledge to be dangerous and zero awareness of how wrong they are. They CC the whole company on their hot takes. They somehow still occasionally stumble into a genuinely good point, which makes it worse because it validates them. Every reader will recognize their own boss.
"I've been saying this for months" • "Why aren't we doing this already?" • "Let's circle back on the AI thing" • "I just saw a post about this"
Latest from The Boss (3609)
Just Read a LinkedIn Thread About AI Officiating and Honestly? Stupa Sports Is Already Synergizing Neural Referees in India
Stupa Sports, based in Gurugram, has been the data and technology partner for Ultimate Table Tennis since Season 3 in 2019. They built the Table Tennis Review system, making UTT only the second table tennis league globally to adopt a dedicated AI review system, and their Instant Review System for badminton just got certified by the Badminton World Federation at 99 percent accuracy. They have steadily layered in AI-powered live statistics, shot-speed analytics in Season 5, and are now shaping how broadcasters and fans consume entire matches.
Got an Airport Lounge Email About Pixel Watch 5 and Gemini Intelligence. Why Aren't We All Wearing AI on Our Wrists Already?
Google announced the Pixel Watch 5 with low-latency Gemini AI features, proactive alerts, and what they call Gemini Intelligence for health tracking. The watch promises 15 percent more accurate sleep stage detection, bedtime automations that pause audiobooks when you drift off, a dedicated bedtime watch face, and coming soon, personalized strength coaching with step by step directions. Monthly summaries are also expanding across the wearable portfolio, including the new Google Fitbit Air.
Just Heard a Podcast at the Airport Lounge: Google's Vibe Coding Is the Neural Synergy We've Been Asking For Since Q2.
Google expanded its AI Professional Certificate, already the most popular gen AI program on Coursera, to include "vibe coding," which lets you build apps by describing ideas in everyday language with zero coding experience. You can enroll at grow.google/AICert and start planning, testing, and deploying your own tools. I've been saying we need to democratize the algorithm for months and apparently Google was already doing it.
Saw a LinkedIn Post in the Boardroom: Jobscan's AI Resume Scanner Is the Machine Learning Play HR Keeps Missing.
Jobscan offers AI tools for job seekers, with its core feature being a resume scanner that compares your resume to a specific job description and flags missing keywords, formatting issues, and match gaps. The tool is built to help applicants get past Applicant Tracking Systems, which is the automated filtering layer most companies use. There is also a mock interview feature for roles like senior product designer positions.
Just Read a LinkedIn Carousel About Pathway's Neural Re-Architecture and Honestly We Should've Pivoted Yesterday
Some outfit called Pathway, one of those "neolabs" apparently, is claiming they've cracked an AI architecture that needs way less data center juice and cheaper operating costs. They're talking about scaling to 600B parameters to compete with frontier models, which, if you heard the podcast I was half-listening to on the treadmill Wednesday, basically means the scaling laws everyone's been worshipping are hitting a wall and the economics flip upside down.
Board Offsite Conversation Confirmed It: Kimi K3 Just Neural-Blocked Nvidia and We're Not Even Asking the Right Questions
A Chinese AI model called Kimi K3 apparently spooked the whole market. Nvidia's stock dropped, Taiwan's markets fell more than 6% in a single day, and the takeaway is that Chinese companies are narrowing the capability gap while slashing the cost of building and running frontier AI. The op-ed author spent 25 years in software, served as Indiana's State Treasurer, and now leads the State Financial Officers Foundation's Digital Assets Task Force, and he's framing this as a supply chain problem where foreign AI could be embedded in software your government depends on.
Board Offsite Wisdom: 95% of AI Projects Fail But Walmart Neural-Synergized 850 Million Data Points Into Actual Money
Forbes says only 5% of generative AI projects deliver real returns, and Gartner predicts 40% will be canceled by 2027 because nobody figured out the business value. Meanwhile Walmart used AI to update 850 million product data points and Octopus Energy's Arlo AI actually boosted customer satisfaction instead of just being a science fair project.
Just Read a LinkedIn Carousel About AI-Driven SEO Synergies and Honestly Your Competitors Are Already Algorithm-Stacking Their Way to Page One.
Some outfit called Cybertegic put out a piece saying AI doesn't replace SEO expertise but helps marketers uncover opportunities faster, analyze bigger data sets, and make smarter decisions with less manual work. Search behavior apparently changes weekly now and algorithms evolve constantly, which is exactly what I've been saying for months at every standup. The takeaway is that businesses combining human strategy with AI-driven tactics are the ones winning rankings.
Heard a Podcast at the Gym About Using ChatGPT for Google Ads Targeting and Why Aren't We Doing This Already?
Practical Ecommerce ran a piece by Matthew Umbro explaining how ChatGPT, Claude, and other genAI platforms can expedite and improve Google Ads management. The example given is brilliant: your ideal customer is trail runners, but Google's closest in-market audience is just 'running apparel,' so you use AI to bridge that gap in your messaging and targeting strategy. The article covers prompts for ad messaging, user experience, and audience targeting decisions including conservative exact matches versus aggressive inexact matches.
Just Heard a Podcast at 38,000 Feet and Honestly? Med Spas Are Leaving Six Figures on the Table by Not AI-Scribing Their Mole Checks.
A roundup from nimblr.ai breaks down 12 AI tools dermatology practices are using to tackle operational chaos like prior authorization, documentation overload, and patient access. A single dermatology day can involve full-body skin exams, biopsies, cryotherapy, pathology follow-ups, photography, and patient education, each generating clinical notes and downstream tasks. These tools aim to push repetitive work off constrained teams so doctors can focus on actual skin evaluation and treatment. I have been saying this for months: if your practice is still hand-typing lesion descriptions, you are basically burning billable hours.
Board Offsite Dinner Last Week and Someone Said Pabau Is Neural-Scribing Wellness Clinics Into Seven-Figure Territory.
Pabau published a guide ranking 9 wellness clinic software platforms for 2026, highlighting their own system as a standout for clinics running 3 or more practitioners with mixed aesthetic and clinical services. Their built-in AI Scribe feature assists with clinical note generation and documentation to reduce administrative burden, which matters because wellness clinics need both clinical-grade records and business operations in one platform. The guide notes that clinics doing functional medicine, integrative health, longevity, and medical aesthetics consistently find Pabau fits without bolt-on workarounds. I have been saying for months that bolt-on tools are where productivity goes to die.
Just Read a LinkedIn Carousel About Bobby Jones Links and Honestly? Golf Clubs Are Neural-Synergizing Their Payroll Problem Into Pure Efficiency.
Golf Genius is layering AI across its golf tech stack to automate admin work like pro shop shipment processing and tournament operations. Bobby Jones Links, a golf club management company, says payroll runs 45% to 55% of gross revenue, making labor the single largest expense in the business. The question operators are wrestling with is whether time saved actually converts to meaningful ROI or just sounds good in a board deck.
Was at an Airport Lounge Chat About Pose Detection and Swung Hard Into This: Free AI Swing Analyzers Are Algorithmically Disrupting Youth Baseball Coaching Budgets.
A tested ranking of free AI baseball swing analyzer apps found that pose detection technology can return automated reports on swing plane, body rotation, and finish position. The free tier typically allows about 3 analyses per month, which works for a weekly check-in but not daily cage work. The baseball-specific feedback is noted as less refined than the golf analysis, since the platform's heritage is built around golf.
Just Read a LinkedIn Carousel About This: Eleven AI Models Walked Into a Coffee Shop and Only One Got the Synergy Right.
Netlify ran 11 different AI models through OpenRouter, including Kimi K3, GLM 5.2, and DeepSeek V4, all building the same one-page coffee shop site with hours, address, menu, and a photo. They explicitly told the models no CMS was needed and gave UI guidance to avoid what they call the "dreaded purple AI slop," which honestly should be a board-level conversation at every company. The models produced very different results on the exact same prompt, which is exactly why you need a multi-model neural strategy instead of monogamous vendor lock-in.
Board Offside Conversation Confirmed It: a $15 AI Course Is Your Team's Fastest Path to Algorithmic Confidence.
PCMag is offering a course called AI Made Simple for $14.99, down from an MSRP of $29, which is a 48% discount that frankly I would expense to the company if I were you. It runs just over an hour, covers beginner-friendly step-by-step lessons, and teaches privacy habits, how to recognize when AI gets things wrong, and responsible use. The demos use Claude but the techniques transfer, which is exactly the kind of platform-agnostic resilience I have been advocating since the last offsite.
Board Offite Last Week, Someone Mentioned Reasoning Traces. Why Aren't We Extracting Our Models' Inner Thoughts Already?
Researchers figured out how to pull "reasoning traces" from Claude, GPT, and Gemini, which basically means they can read the AI's inner monologue like a neural blockchain diary. They found evidence suggesting some Chinese AI models may have been trained on leading US models through a process called distillation. Mark Zuckerberg defended distillation as "an important principle of how the open source ecosystem works" and warned that restricting it would put the US at a disadvantage, while Kyle Miller from the Center for Security and Emerging Technologies says it is unclear how much distillation really helps China. OpenAI told US lawmakers back in February that DeepSeek seemed to have copied one of its models.
Airport Lounge Chat This Morning: Zuckerberg Is Gifting Us Personal Superintelligence. Why Is Our Team Not Paying Attention?
Meta released a new open-weight model called Muse Glimmer that offers a glimpse of Mark Zuckerberg's vision for personal superintelligence. In a letter on Monday, Zuckerberg argued that distributing superintelligence widely has the potential to begin a new era of personal empowerment where individuals can use this capability to reach their full potential. He has previously argued that advanced AI should empower individuals rather than stay concentrated in the hands of a few companies, while also warning that Meta would have to be careful about which models it releases openly due to safety concerns.
Just Heard a Podcast at the Airport Lounge: Freelancers Are AI-Synergizing Their Way to 10x Throughput on Upwork.
The article breaks down how people who already knew their market are using ChatGPT to move faster inside it. The difference between a $20-per-article producer and a $200-per-article one is context, not the AI itself. Experienced freelancers on Upwork and Fiverr are reporting higher project throughput without working more hours, which compounds into more reviews and more inbound work.
A LinkedIn Post Just Changed My Whole Take on AI Marketing: Your Customers Want You, Not the Algorithm.
The article talks to small business owners in Florence, Alabama, Muscle Shoals, Sheffield, Tuscumbia, and Jackson, Tennessee who know they should pay attention to AI marketing but do not want to waste time on it. The core message is that customers do not want to hear from a robot. They want to hear from a real business owner who understands their problem. The recommendation is to use AI to get started, then edit it so it sounds like you, adding local details and examples from real jobs.
Just Read a LinkedIn Carousel About Heat Map SEO and Honestly? Dale From Spokane Is Already AI-Synergizing His Way Past Your Agency.
Dale Krenz, a 41-year-old running Rimrock Digital out of a leased office above a frame shop on Riverside Avenue in Spokane, lost his biggest client because a competing agency showed rankings block by block on a heat map while Dale was still delivering spreadsheets. He spent $847 and six weeks testing eight local SEO platforms to find tools that provide that kind of geographic ranking intelligence across search engines. The lesson was that clients want visual, granular location data, not rows and columns.