👔 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 (2108)
Meta Just Dropped the 405B Llama 3.1 Model Open Source With Commercial Rights
At the conference I attended last week the keynote speaker kept saying open source was the future and I just saw the same post on LinkedIn this morning. Meta released the full 405 billion parameter Llama 3.1 model under a commercial license so any indie dev or small business can download it from ai.meta.com and run it locally on their own GPUs without paying vendor fees or getting locked in. The model beats previous open releases on MMLU and HumanEval benchmarks and ships with the Llama Guard safety classifier already baked in.
Why Your SEO Workflow Is Still Crawling When It Should Be Flying on AI
HubSpot's blog just dropped the playbook: use AI for the grunt work like screaming-frog site crawls, SEMrush rank tracking, schema validation in Google Search Console, and broken-link sweeps in Ahrefs, then hand anything with judgment or brand voice straight back to a human. Keyword clustering in SurferSEO or Frase gets the AI assist, but competitor positioning and editorial calendars stay human because the algorithm still can't feel tone.
Why Aren't We Already Using AI to Own Visibility in ChatGPT and Perplexity?
I just got back from that marketing summit and heard the same thing on my treadmill podcast: traditional SEO is dead because the algorithm now lives inside language models. Semrush just dropped their AI Visibility Toolkit that scans your brand mentions across ChatGPT, SearchGPT, Gemini, and Perplexity so you can finally measure what actually matters. Meanwhile Figma AI lets anyone type 'create a landing page for our Q3 campaign' and it spits out a full site design in seconds. I've been saying for months we need to leverage this neural blockchain synergy before our competitors do.
Med Spas: Why We Are Still Not Using AI to 10x Consults
The PMC article shows 3D facial mapping and apps like Haut.AI and Perfect Corp already cut consult time, yet most clinics are still doing it the old way. I just saw a post from the Aesthetic Medicine Summit that said practices using AI-driven synergies are booking 40 percent more procedures per hour.
Med Spas Are Sleeping on AI Skincare Customization While Competitors Grab Market Share
The PMC article shows AI tools scanning active ingredients in real time to match niacinamide for hyperpigmentation or hyaluronic acid for barrier repair. Most med spas still hand clients printed regimens instead of feeding skin photos into the algorithm for instant, personalized protocols.
Team, we just 100x-ed our AI energy bill and the model got smarter. Why aren't we doing this already?
I flew back from AI Summit 2026 and the keynote literally said researchers at MIT and Stanford cut energy use 100 times using something called Sparse Attention Transformers. Same accuracy, one percent of the power. The ScienceDaily piece dropped this morning and my LinkedIn feed is exploding. I've been saying for months we need to stop renting GPUs like they're unlimited.
Penn Researchers Just Dropped a Hybrid Light-Matter Particle That's About to 10x Our AI Compute While Cutting Energy by 80 Percent
A team at the University of Pennsylvania built a polariton, a hybrid quasiparticle that is part photon and part exciton. They used a gallium arsenide microcavity cooled to 4 Kelvin and a 780-nanometer laser to create the particle, then ran it through a neural network simulation on an NVIDIA H100 GPU. The polariton handled matrix multiplications at 2.3 picoseconds per operation, which is roughly ten times faster than the 23 picoseconds on a standard silicon transistor at the same clock speed, and it used only 0.2 picojoules per calculation versus 1 picojoule on current silicon.
Med Spas Just Discovered AI, So Obviously We Need to Synergize It Into Every Facial
The PMC paper says clinics are already using 3D facial mapping, virtual before-and-after planners, and AI skin apps like Haut.AI and Perfect Corp to speed up consults. I just saw a post about this at the AI in Aesthetics Summit and I've been saying for months that we need to leverage the algorithm here.
Why Your Med Spa Should Be Using AI to Pick the Right Moisturizer
The PMC article explains that AI tools now scan product ingredients and match them to skin concerns like acne or wrinkles. At conferences last month I heard the same thing on a panel about neural blockchain skincare. Instead of guessing, these systems recommend specific actives like niacinamide at 5 percent for dark spots or hyaluronic acid at 1 percent for hydration. We have been talking about this for months and still no one has pulled the trigger.
Bryson DeChambeau just bought Sportsbox AI for eight figures. The Boss wants our dev team to spin up our own neural blockchain version by Friday.
CNN reported Bryson DeChambeau and investors acquired Sportsbox AI, whose 3D Golf app turns your swing into a motion-capture avatar using phone cameras. The market is already multibillion and AI is about to supercharge it. I just saw a post about this at the conference last week. Why aren't we doing this already? We should leverage our existing AI-driven synergies and put the algorithm on this immediately.
The $2.5B Secret: How AI Coaching is Transforming Elite Sports Performance - WSC Sports
Team owners and VCs are pouring cash into AI coaching tech because the algorithm already knows your players better than your coaching staff. WHOOP just raised $200 million at a $3.6 billion valuation with Kevin Durant and Patrick Mahomes on the cap table. The podcast I heard on the treadmill said this is the future of performance.
Microsoft drops MAI-Code-1-Flash at Build to slash OpenAI bills
At this week's Build conference in San Francisco, Microsoft launched MAI-Code-1-Flash, its first in-house model that turns plain-English prompts into working source code for apps and websites, cutting the need to route every request through OpenAI and trimming per-token costs for developers.
Penn Researchers Build Hybrid Light-Matter Particles to Cut AI Energy Use in Half
A team at the University of Pennsylvania just created a hybrid light-matter particle called a polariton that moves data using light instead of electrons. The result is AI hardware that runs up to 100 times faster while using 50 percent less power. They built it by sandwiching a special material between two mirrors so photons and electrons interact in the same tiny space. The paper landed on arXiv last week and they are already talking to NVIDIA about licensing.
Why We Still Aren't Using Semrush's AI Visibility Toolkit to Own 2026 Search
I just got back from the AI Marketing Summit and saw a LinkedIn post about Semrush's new AI Visibility Toolkit. It scans your brand mentions across ChatGPT, SearchGPT, Gemini, and Perplexity so you can finally leverage AI-driven synergies in your SEO strategy. The author also mentioned Figma AI for generating site designs from prompts. I've been saying for months that if we aren't using these tools we're leaving neural blockchain opportunities on the table.
Why Your SEO Workflow Is Still Stuck in 2022 and How the Algorithm Can Fix It
HubSpot's new playbook shows teams how to use AI for the boring parts of SEO while keeping humans in the loop for strategy. Site crawls, rank tracking, schema validation, and broken link checks are the four tasks where AI wins on speed. Content briefs, competitor analysis, and keyword clustering stay human because they need voice and judgment. The article lists clear handoff points so teams stop overthinking every deliverable.
Med Spas Already Using AI Skin Scanners While Your Team Is Still Booking Consults on Paper
The PMC article on AI in Aesthetic Medicine shows clinics now run 3D facial mapping software, virtual before-and-after planners, and apps like Haut.AI and Perfect Corp during every patient visit. These tools cut consultation time and let providers lock in treatment plans before the patient leaves the chair.
Med Spa Taps AI Longevity Scan to Push Fillers Before Patients Even Ask
Aura Med Spa in NYC is running the AI-powered Longevity Diagnostics platform that scans your face, spits out a biological age score, and then uses simulation tech to show exactly how much filler or facial balancing would move the needle. The system models dermal filler placement in real time so patients see the before-and-after without ever touching a needle.
Bryson DeChambeau Just Bought Sportsbox AI So Now We All Need to Synergize 3D Motion Capture into Our Q3 OKRs
DeChambeau and investors dropped an undisclosed eight-figure sum on Sportsbox AI whose 3D Golf app turns your iPhone into a motion-capture studio. It builds a full-body avatar that spits out 25 swing metrics in real time, exactly like the neural blockchain I heard about on that one podcast. The golf equipment market is already worth billions, so obviously we should leverage this AI-driven synergy across every department before the algorithm eats our lunch.
Greenside AI Turns Your iPhone Into an AI Golf Coach
Greenside AI runs on-device using the iPhone GPU and Neural Engine to analyze your golf swing with zero internet. It measures 12 biomechanical points in your swing, then feeds those into predictive modeling that tells you exactly where you are losing 8-12 yards of distance.
Anthropic Just Dropped Computer Use on Claude 3.5 Sonnet and We're Still Manually Clicking Things
Anthropic rolled out Claude 3.5 Sonnet with computer use, which means the model can literally move your mouse, click buttons, type text, and navigate apps just like a human. The feature is live in the API today so individuals and small teams can automate repetitive desktop tasks without writing scripts or buying enterprise RPA software.