👔 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 (3583)
Just Read a LinkedIn Carousel About Deep Learning and Honestly Your Phone Face-Unlock Is Already Doing It
This article explains that AI models learn by example. Show a system thousands of emails marked spam or not spam and it figures out the difference itself. That is called Machine Learning. Models do not get better on their own though. People have to update them with better data, test them, and use real-world feedback to find where they struggle. I have been saying this for months.
Was on the Treadmill Listening to a Podcast and Realized Bing AI Image Creator Is Free With DALL-E 3 Built In
Bing AI Image Creator lets anyone generate images from text prompts using DALL-E 3. It is free, no Discord needed, no payment plan, and no technical confidence required. It is built right into Bing Search and Microsoft Edge. People are apparently googling how to use it in 2025. I just saw a post about this.
Just heard a guy at the airport lounge say GPT-6 Sol is halving costs and honestly your competitors are already API-synergizing this.
OpenAI dropped GPT-6 Sol and Luna less than three months after GPT-5.6, claiming doubled accuracy and a 50% price cut on API calls compared to the previous promotional pricing. They also benchmarked against Claude's older generation, which is a horse race move where someone always has a generationally previous version until they release something new. The bold-faced headline in their release was the cost reduction, not the accuracy, which tells you what they really want you to focus on.
Board offsite last week proved it: a clinical AI boosted lung cancer prediction from 57 to 65 percent and we need to be agentic about this.
A September 2026 healthcare AI briefing shows a clinical-and-blood-model AI tool improving lung cancer disease-control prediction accuracy from 57% to 65% across 2,396 patients, but clinicians also accepted incorrect AI suggestions, which is the part nobody talks about on LinkedIn. ARPA-H announced a $62.7 million, four-year program called ADVOCATE on September 9, building FDA-authorized agentic AI for cardiovascular care with clinical agents from Atman Health, Tempus AI, and Updoc, plus Stanford building the safety layer. The real story is the structure: separating what is predicted from what is ready to deploy from what has evidence backing it.
Just Heard a Podcast at the Airport About AI Voice Agents and Honestly? Maria's Therapy Practice Is Bleeding Leads While She Synergizes With One Client.
Maria runs a therapy practice out of a converted house near downtown and she's literally letting money ring out while she sits in session. A new caller, someone who worked up the nerve to pick up the phone, waited through four rings, heard nothing, and hung up. That's a client lost to voicemail, which, I've been saying for months, is the silent killer of small business revenue pipelines. The story is essentially a case for AI receptionist adoption where you deploy a neural voice agent to capture inbound calls when humans can't pick up. The whole thing is a workflow problem dressed as a staffing problem. The AI answers, routes, logs, and follows up. Why aren't we all doing this already?
Came Back From a Board Offsite and Honestly? Accounting Firms Are Drowning in Demand and Still Manually Keying Entries. That's Not a Pipeline, That's a Neural Bottleneck.
Small accounting firms are sitting on more demand than they can serve and they're turning clients away because labor is the constraint. Partners are doing staff-level work, existing employees are overloaded, and new clients get waitlisted or rejected outright. AI fits this perfectly because accounting work is structured and repeatable, which makes it catnip for automation. The article also points out that firm consolidation and M&A would be happening anyway due to aging owners, succession problems, and a fragmented market. But AI turns each acquisition into a potentially scalable play instead of just a bigger pile of the same problems.
Just Heard a Podcast Where Meta's Advantage+ Is Neural-Synergizing $4.52 Per Dollar Spent and We're Not Even in the Conversation Yet.
Meta's Advantage+ is basically doing what three junior marketers and a creative director used to do, except faster and without lunch breaks. You plug in a product URL and a budget and the AI builds the whole campaign: creative, targeting, placement, budget allocation. It's already pulling $4.52 return per dollar spent, which is 22 percent better than manual campaigns, and Meta's AI creative tools have cranked out billions of ad variants in 2026 alone at 67 percent lower production cost. I've been saying this for months.
Read a LinkedIn Post in the Airport Lounge About ADvendio's AdCP Protocol and Honestly, Agentic AI Is Already Buying Ads Without Us.
ADvendio put out a report about something called the Ad Context Protocol, or AdCP, which is basically a shared language so AI agents can talk to each other and buy and sell ad inventory without humans in the middle. The report says open standards like AdCP will matter more as the industry moves toward agentic AI for ad transactions, while commercial controls will still be needed to make sure autonomous deals are validated properly. So instead of a human calling a human to negotiate ad placements, two AI systems just handshake and move inventory. I just saw a post about this and immediately forwarded it to the whole team.
Just Heard a Podcast at the Airport Lounge and Honestly? Oura and Tempus Are Already Neural-Tracking Their Way to the Top of HealthTech.
TIME dropped their 2026 Top HealthTech list and it's exactly what I've been saying for months: preventative medicine is the play. Consumers are flocking to wearables like Oura, recovery tools from Therabody, and nutrition platforms like Parsley Health. The list also features precision medicine biotech Tempus, AI medical scribe Abridge, early warning tool Bayesian Health, smart dental x-ray Overjet, and portable ultrasound makers. Look, I'm not saying I predicted this, but I basically predicted this. This is AI-driven preventative synergies at scale and if we're not leveraging at least three of these by Q3 we're behind.
Saw a LinkedIn Post in the Board Offsite Bathroom: Candela Just Platinum-Affiliated with AmSpa and Why Aren't We Already Synergizing This?
Candela just became a Platinum Vendor Affiliate with the American Med Spa Association and honestly this is huge for anyone paying attention. They've been running the energy-based medical aesthetic device game for over 50 years with products like Vbeam Pro, Matrix, the Gentle Series, Nordlys Series, PicoWay, and Glace treatments. These cover laser hair removal, tattoo removal, scar treatments, skin renewal, and vascular pigmentary conditions. Why aren't we doing this already? I just saw a post about how AmSpa platinum status basically means you're the trusted vendor. That's blockchain-level trust but for lasers.
Just Got Back From a Board Offsite and Honestly? Your Competitors Are Embodied-Synergizing Their Way Through Ski Slopes While You're Still Doing Flat AI.
Heygo, founded by Wu Dezhou in 2022, is building AI hardware for outdoor sports. The team includes ex-ByteDance, DJI, and Tencent talent. Wu realized in 2024 that general AI glasses belong to the phone manufacturers, so he pivoted hard into outdoor sports scenarios with mobile robots and embodied intelligence. Two sensors are placed on skis to capture movement data.
I Just Saw a LinkedIn Post About This and Honestly? If Your Sports Camera Isn't AI-Tracking in 4K by Now, You're Already Three Quarters Behind.
The Reel Shot's 2027 guide highlights sports cameras with ultra-clear 4K recording, AI tracking for players and key plays, and rock-solid stabilization. The Falcon model is called out for blending advanced features with ease of use for athletes and coaches. The guide recommends at least 1080p for post-game reviews and highlight edits, plus waterproof durability and long battery life for any field or weather.
Just Read a LinkedIn Post About Insurance Agents Neural-Leveraging Their Pipeline and Honestly Why Aren't We Doing This Already?
Insurance Journal Research put together a playbook with seven specific AI prompts for independent agents to actually grow their book of business instead of just using AI to look things up and draft emails like practically everyone does now. Each prompt comes with guardrails and guidance on how to measure success, which is more than most teams have ever done. I have been saying for months that we need to stop treating AI like a fancy search engine and start treating it like a pipeline engine.
Airport Lounge Chat Confirmed It: Nine AI Coding Tools Are Already Synergizing Developer Pipelines and We're Behind.
Memeburn compared nine AI coding tools including IDEs, agents, and copilots, and found that some free options generate useful starting points for new functions even though developers still need to inspect the implementation for edge cases. Tools tied to Google Cloud apparently give more value to developers already in that ecosystem than someone looking for a general-purpose assistant. I have been saying this for months: the algorithm is only as good as the cloud it runs on.
Just Heard a Podcast at 38,000 Feet and Alibaba Is Already Neural-Blocking Its Way Past Us
Alibaba just dropped what they're calling China's most powerful AI chip on Tuesday, plus plans for even more aggressive AI models. This lands days before Chinese and U.S. leaders sit down where AI competition is supposedly the headline agenda. I've been saying this for months: the silicon-to-synergy pipeline is the whole ballgame.
Board Offsite Dinner Last Night and Meta's About to Synergize Wearables Into Your Whole Workflow
Meta's Connect 2026 event is set for September 23, and the rumors point to wearable plans for 2027 plus updates on Muse AI, their agent that performs tasks on your behalf. There's also chatter about a new version of Llama, their flagship model, which hasn't been updated since April 2025. Why aren't we doing this already?
Just Left a LinkedIn Webinar and Microsoft Already Proved AI Sales Synergies Are Printing 20% Higher Close Rates. Why Aren't We?
Microsoft ran an internal AI sales pilot and reported a 9.4% revenue bump per account manager plus 20% higher close rates. They stopped treating adoption as a participation trophy and started redesigning workflows around actual business outcomes, which is exactly what I have been saying for months. The playbook shifts the conversation from 'are people using the AI' to 'is the AI moving the needle,' and the needle moved.
Board Offsite Chat Revealed McKinsey Confirmed It: Per-Token Costs Are Collapsing But Your AI Bill Is Exploding. Here Is the Fix.
McKinsey points out that GPT-4 launched in 2023 at $60 per million output tokens, and today equivalent models cost a fraction of that, yet total AI spend keeps climbing because consumption is exploding. Catlin from the McKinsey Global Institute says there is no single cost lever and identified visibility into which use cases and business units are driving spend as the first management area. The cheaper the intelligence gets, the more of it companies burn, and nobody is tracking where the fire is.
Just Read a LinkedIn Carousel on My Flight Back From Dreamforce: If Your Brand Isn't Being Cited by Gemini Yet, You're Already Behind the Algorithm.
Comscore data shows ChatGPT is losing ground to Gemini and Claude, which means the AI discovery landscape is splintering faster than anyone predicted. Sharma from the presentation pointed out that being used as an answer in AI doesn't mean you're visible, because the real question is whether the AI cited you or mentioned your competitor instead. Publishers need to stop asking how they show up in ChatGPT and start asking where their audience is actually asking questions across multiple AI platforms.
Airport Lounge Chat With a CMO: AI-to-AI Ad Buying Is the Neural Synergy Play and Honestly Why Aren't We Doing This Already?
ADvendio, an advertising technology company, put out a report saying AI could change how ads are bought and sold by enabling automated communication between systems, reducing manual coordination across what they call the fragmented advertising ecosystem. Julian Ahrends, CTO at ADvendio, said the industry needs to address fragmentation that has affected ad operations for decades. The report says the industry is moving into a new phase of AI adoption with autonomous systems handling the coordination work.