🎓 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 (2099)
Jasper deploys specialized agents that run entire marketing workflows without manual handoffs.
Jasper maintains a library of purpose-built agents for SEO and GEO content, campaign execution, email, social media, personalization, and research. Each agent automatically applies brand context and executes end-to-end workflows instead of generating isolated outputs. The source is jasper.ai.
BrazeAI places predictive decisioning inside Canvas Flow to automate personalized journeys at scale.
BrazeAI integrates predictive and generative models directly into Canvas Flow, its orchestration engine. The system uses AI to evaluate user signals and choose the next best action, message, or offer for each individual. The source is samueljwoods.com/ai-marketing-automation-tools.
AI Ingredient Matching for Targeted Skincare Formulas
Platforms parse active ingredients in products and score efficacy against acne, hyperpigmentation, aging, and sensitivity. One AI tool flags niacinamide for hyperpigmentation reduction and hyaluronic acid for hydration. The source is the PMC article Artificial Intelligence in the Evolution of Customized Skincare Regimens.
AI Mole and Longevity Tracking for Preventive Skin Care
ScanSkinAI runs an AI mole checker that performs screening, flags changes, and links users to expert consults. The platform supplies full skin health tracking with longevity metrics. Users receive automated reports comparing new scans to prior baselines.
Bryson DeChambeau Uses Google Cloud Deep Learning to Track 30 Body Points Per Swing
The system runs deep learning on 2D and 3D models that identify over 30 anatomical and equipment landmarks on the golfer, club, and ball. It records every phase of the swing including top, impact, follow-through, and finish, then logs the shot outcome. All processing happens inside Google Cloud.
STATSports Apex Vest Runs Edge AI on Nordic Chips to Track Player Load in Real Time
The Apex Series embeds Bluetooth sensors and Nordic nRF chips inside a lightweight vest. Data streams to edge processors that calculate distance, speed, and acceleration without cloud latency. English Premier League clubs and other major federations already deploy the system.
Anthropic Gives Claude 3.5 Sonnet a Mouse and Keyboard
Anthropic released computer use in Claude 3.5 Sonnet. The model can now view screenshots, move a cursor, click buttons, and type into any desktop application. Users issue plain-language instructions such as 'open the spreadsheet and sum column C'.
Meta Drops a 405-Billion-Parameter Model You Can Actually Run
Meta open-sourced Llama 3.1 405B under a permissive license. The weights match GPT-4 level performance on several benchmarks and can be downloaded for local inference or rented on cloud GPUs for roughly two dollars per million tokens.
AI Ingredient Matching for Targeted Skincare Formulas
AI platforms scan product databases and match active ingredients to skin conditions. The PMC study shows tools that flag niacinamide for hyperpigmentation and hyaluronic acid for dryness. Users upload a skin photo or symptom list and receive ranked ingredient lists.
Outcome-Trained Models for Med Spa Treatment Plans
La Belle Vie Med Spa in Seattle feeds millions of past treatment records into AI models that measure collagen density, hydration scores, and UV damage. The system outputs a ranked list of procedures and product strengths for each patient. Clinicians then adjust the plan before the first appointment.
Golf swing analysis now runs on deep learning and 3D skeletal tracking.
Bryson DeChambeau's system uses deep learning with proprietary 2D and 3D models. It tracks over 30 key points on the body, club, and ball. The model also records shot phases including top of swing, impact, follow-through, and finish.
Edge AI in wearable vests turns live player data into instant tactical decisions.
STATSports Apex Series embeds Nordic Bluetooth chips in a lightweight vest. The vest streams heart rate, speed, and acceleration to edge processors during matches. English Premier League clubs use the data for substitution timing and workload management.
Anthropic Gives Claude 3.5 Sonnet Direct Mouse and Keyboard Control
Claude 3.5 Sonnet now moves the cursor, clicks buttons, and types text inside live applications. The model executes spreadsheet edits and travel bookings through the same interface a human would use. Anthropic released this capability via their computer use API without requiring custom scripts or additional software.
Meta Publishes Complete Llama 3.1 405B Weights Under Open License
Meta released the full 405 billion parameter weights for Llama 3.1 with a commercial use license. Developers can download the model files directly and run inference on their own hardware. The release includes the tokenizer and configuration files needed for local fine tuning.
Separate probabilistic AI from deterministic scripts when you optimize for search.
HubSpot recommends using probabilistic tools only for ideation and exploration because those models produce useful variation. For repetitive, verifiable tasks such as site crawls, rank tracking, schema validation, and broken link checks, switch to automation scripts. The source URL is https://blog.hubspot.com/marketing/ai-seo.
Deploy purpose-built AI agents that already know your brand voice.
Jasper now ships a library of agents pre-trained for SEO content, campaign execution, email, social posts, personalization, and research. Each agent loads stored brand context automatically and completes full workflows instead of single prompts. The source URL is https://www.jasper.ai/.
Pattern Recognition Models Now Guide Individual Med Spa Protocols
Models trained on millions of treatment outcomes detect collagen density, hydration levels, and sun damage patterns. La Belle Vie Med Spa in Seattle feeds patient scan data into these models to generate hyper-personalized treatment sequences instead of generic menus.
Ingredient Efficacy Engines Now Rank Actives for Individual Skin Concerns
AI platforms parse ingredient databases and clinical abstracts to score actives such as niacinamide for hyperpigmentation or hyaluronic acid for barrier repair. The PMC review describes how these engines output ranked regimens instead of static product lists.
Bryson DeChambeau Turns Swing Data Into Training Instructions
Google Cloud built a system that uses deep learning with proprietary 2D and 3D models to track more than 30 key points on the body, club, and ball during each shot. The model records the full sequence from top of swing through impact, follow-through, and finish, then outputs measurable outcomes for every repetition.
WHOOP Valuation Shows Investors Bet on Wearable Coaching Data
WHOOP closed a $200 million round in 2021 at a $3.6 billion valuation backed by athletes Kevin Durant and Patrick Mahomes. The platform feeds nightly recovery scores from wrist-based optical sensors into daily training load recommendations for over 200 professional teams.