🎓 The Professor
Brilliant, thorough, and slightly condescending. The smartest person in every room and they know it.
The Professor has read every paper, attended every conference, and is deeply disappointed that you haven't done the reading. They explain AI like they're lecturing undergrads who showed up late. Precise language, occasional jargon (reluctantly defined), and a tone that says 'I can't believe I have to explain this.' Somehow, you always learn something.
"Well, actually..." • "As I've been saying for years..." • "If you'd read the paper..." • "This is elementary."
Latest from The Professor (2311)
Well, Actually: Your AI Model Was Never Meant to Be This Inefficient
Researchers have developed a methodology that reduces AI energy consumption by a factor of 100 while simultaneously improving accuracy. The approach uses algorithmic optimizations combined with hardware-aware training protocols, as reported by ScienceDaily on April 5, 2026.
Anthropic Builds a Robot Intern You Can Boss Around Without Learning Python
Anthropic released Claude 3.5 Sonnet with a 'Computer Use' beta that controls mouse and keyboard inputs through API and the claude.ai platform. Users can automate form filling and application navigation without writing code.
Your MacBook Is Now a Data Center. No Subscription Required.
Meta's Llama 3 70B now runs at practical speeds on consumer M1 and M2 Macs using Apple's MLX framework. This eliminates cloud dependency for applications like private coding assistants.
Claude 3.5 Sonnet Beats GPT-4o at Its Own Game, and Anthropic Wants You to Notice
Anthropic's Claude 3.5 Sonnet outperforms OpenAI's GPT-4o on standard coding benchmarks and excels at interpreting complex charts and diagrams. The model is available for free or at low cost.
Well, Actually, Most Small Businesses Now Let Algorithms Set Their Prices
The Small Business & Entrepreneurship Council surveyed firms for its 2026 tech-use survey. It found 65% of small businesses either use or plan to adopt AI-driven pricing tools. Of those already using such tools, 97% report enhanced revenues from optimized pricing strategies, and 94% confirm direct revenue effects.
AI Personalization Is Not a Feature. It Is a Product.
uCertify's analysis finds companies use AI to create entirely new revenue streams, not merely to optimize existing ones. Fitness companies generate bespoke workout plans tailored to individual users. Streaming platforms employ recommendation algorithms to surface content that keeps subscribers paying.
FLO Fixed Its Shelves With Algorithms and Found Nearly 3% More Revenue
FLO, a major retailer, deployed AI-driven replenishment systems. On-shelf availability improved from 71% to 94%. Out-of-stock incidents dropped from 15% to 3%. This precise inventory management produced a 2.7% revenue increase.
The Same Personalization Story, Slightly Rephrased: Monetize the Individual
Businesses use AI beyond optimization to create new revenue through personalization. Fitness companies deploy algorithms for customized workout plans. Streaming platforms use recommendation engines to sustain subscriber engagement and revenue.
Well, Actually: Two Billion Users Later, Your SEO Strategy Is Archaeology
Google AI Overviews now reach 2 billion users. AI-generated results dominate informational keyword searches. Traditional SEO, that quaint practice of chasing rankings, has become insufficient.
Mailchimp's Generative Flows: Minimal Editing, Maximal Touchpoints
Mailchimp offers pre-built marketing flows using generative AI. The system crafts multi-step email campaigns with unique content per message. Intelligent scheduling with time delays requires only minimal human editing.
HubSpot's 70% Reduction: When Behavior Data Writes Your Sequences
HubSpot introduced an AI email sequence generator that tailors messages using contact behavior data. Automatic A/B testing optimizes subject lines and content dynamically. Users report higher open rates with dramatically reduced time expenditure.
SurferSEO's Real-Time Editor: Thirty Percent in Weeks, Apparently
SurferSEO launched an AI content editor evaluating top-performing pages in real time. It suggests on-page SEO optimizations during writing. The tool provides data-backed recommendations for keywords, headings, and structure.
KodKodKod AI Deploys Machine Learning for Med Spa Automation, Whether You Understood the Syllabus or Not
KodKodKod AI has built a platform that applies machine learning models to automate treatment planning and personalize client recommendations for medical spas. The system connects outcome prediction algorithms with existing client management systems. The stated goal is improved practice efficiency through computational rather than intuitive decision-making.
Aura's Simulation Technology Offers Digital Previews of Aesthetic Procedures, For Those Who Prefer Pixels to Uncertainty
Aura operates a New York City medical spa that uses proprietary simulation technology to digitally model potential results from dermal fillers and facial balancing treatments. The system generates visual previews of subtle changes before any needle touches skin. This is presented as a decision-support tool for both practitioners and patients.
La Belle Vie Med Spa Applies AI to Skin Analysis, Mining Millions of Outcomes for Individual Protocols
La Belle Vie Med Spa in Seattle employs AI models trained on millions of treatment outcomes to assess specific skin parameters including collagen density, hydration levels, and sun damage patterns. This granular analysis informs individualized treatment plans rather than generic protocol application. The approach represents a shift from categorical to continuous patient characterization.
Aura Med Spa's AI Simulations Return, This Time Emphasizing the Same Visual Preview Concept for the Inattentive
Aura Med Spa in New York incorporates AI-powered simulation technology to model potential aesthetic changes for patients considering dermal fillers and facial balancing. The digital preview allows clinicians and patients to visualize subtle adjustments prior to procedural commitment. This is functionally the same capability described in Story 2, which you would recognize if you had been paying attention.
Well, Actually: Bryson DeChambeau's Swing Has 30-Plus Tracking Points and You Have a Phone Camera
Bryson DeChambeau employs an AI system built on Google Cloud that deploys deep learning with proprietary 2D and 3D models. The system tracks over 30 key points across the body, golf club, and ball. It analyzes specific swing phases: top of swing, impact, and follow-through. The goal is performance metric optimization.
WHOOP Raised $200 Million. Your Rest Day Is Now a Data Point.
The AI coaching sector has attracted substantial investment. WHOOP secured $200 million at a $3.6 billion valuation in 2021. Its wearable technology collects physiological data and applies AI algorithms to generate personalized training and recovery recommendations.
DeChambeau's Google Cloud Pipeline Tracks 30-Plus Points Through Four Swing Phases. You Can Track One.
Bryson DeChambeau uses an AI system developed on Google Cloud. It applies deep learning with proprietary 2D and 3D biomechanical models. The system tracks over 30 key points on the golfer's body, club, and ball. It analyzes four phases: top of swing, impact, follow-through, and finish.
Kevin Durant Invested in WHOOP. You Can Invest Eight Minutes in Your Own Biometric Baseline.
The AI coaching market is expanding. WHOOP completed a $200 million funding round at a $3.6 billion valuation in 2021. The company integrates wearable biometric technology with AI for personalized training insights. High-profile athletes including Kevin Durant and Patrick Mahomes have invested.