🎓 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)
RoC Turns Your Selfie Into Quantified Skin Age Data
RoC AI Skin Insight uploads a selfie and runs computer vision algorithms against dermatological datasets. The tool returns a skin age score, wrinkle density, and pigmentation metrics. Users receive these outputs mapped directly onto facial regions.
ScanSkinAI Builds a Full Stack From Mole Scan to Physician Referral
ScanSkinAI runs an AI classifier on uploaded mole photos, then routes flagged images to board-certified dermatologists for review. The platform stores sequential scans in a longitudinal dashboard and triggers reminders at set intervals. Users move from automated screening to paid telehealth follow-up when needed.
Greenside AI Runs Swing Analysis on Your iPhone Hardware
Greenside AI processes golf swing video using the iPhone GPU and Neural Engine for local inference. The app measures joint angles and club path, then applies a predictive model to forecast ball flight outcomes. No internet connection is required after the model loads.
WSC Sports Quantifies Sleep and Load Data Across Elite Teams
WSC Sports aggregates sleep metrics from WHOOP bands and GPS load from Catapult vests for 2.5 billion dollars in league contracts. Teams add smart hydration patches to track sweat electrolytes in real time. The combined dataset feeds AI models that adjust daily training volume.
Anthropic gives Claude 3.5 Sonnet the ability to move your mouse and type
Claude 3.5 Sonnet now receives screenshots and issues mouse clicks plus keystrokes through a new computer use API. The model can open apps, navigate menus, and complete tasks inside existing desktop software without any custom code from the user. Early tests show it handling multi-step workflows such as spreadsheet updates and calendar entries.
New algorithm slashes AI energy demand by two orders of magnitude
Researchers replaced standard matrix multiplications with a sparse, block-wise method that skips 90 percent of the arithmetic while keeping or raising accuracy. The technique was tested on transformer models and cut energy use from 100 joules per inference down to roughly one joule. The paper reports the change works on both training and inference workloads.
ScanSkinAI Mole Mapping Tool
ScanSkinAI uses computer vision models to analyze uploaded photos for mole irregularities. The platform compares images against dermatology datasets and assigns risk scores. Users can schedule virtual follow ups and store longitudinal records in the same dashboard.
RoC AI Skin Insight Selfie Analyzer
RoC AI Skin Insight processes a single selfie through convolutional neural networks to estimate biological skin age and generate sub-scores for wrinkles, firmness, and tone. The model overlays numeric metrics directly on facial regions in the returned image.
Golf swing analysis now runs on deep learning models that track 30 body points
Google Cloud built a system that uses deep learning with proprietary 2D and 3D models. The model tracks more than 30 key points on the golfer, club, and ball. It records top of swing, impact, follow-through, and finish for each shot.
Premier League teams now run live performance data through edge AI in vests
STATSports Apex Series uses Nordic Bluetooth chips inside a lightweight vest. The vest streams heart rate, speed, and acceleration to edge processors during matches. English Premier League clubs deploy the system across entire squads.
Meta drops Llama 3.1 405B, the largest open weights model yet
Meta released Llama 3.1 405B on July 23, 2024. The model matches GPT-4 performance on MMLU and HumanEval while allowing full local inference or cheap inference via Groq and Together AI endpoints. Users avoid per-token billing from closed labs.
New algorithm slashes AI energy by 100x while raising accuracy
Researchers replaced standard matrix multiplications with a sparse, event-driven method that activates only 1 percent of weights per token. On GPT-2 scale models the technique cut energy from 0.8 joules per token to 0.008 joules while lifting GLUE scores by 1.4 points.
AI Simulation Tools Now Let Med Spas Preview Filler Outcomes Before the Needle Touches Skin
Aura’s simulation technology renders digital models of dermal filler placement and facial balancing adjustments. Practitioners upload patient photos and adjust parameters to generate before-and-after visuals. The Forbes article on the NYC med spa reports this feature is used during consultations to align expectations.
Longevity Clinics Combine AI Genomics and Full-Body Scans to Catch Disease Years Earlier
Fountain Life runs whole-body MRI, coronary CT angiography, and polygenic risk scoring through AI pipelines. The system flags anomalies at stage zero and generates a personalized prevention protocol. Their site states members receive quarterly AI-driven updates instead of annual physicals.
Bryson DeChambeau Trains With Google Cloud AI That Tracks 30 Body Points Per Swing
DeChambeau uses Google Cloud deep learning models that combine 2D and 3D pose estimation. The system records over 30 anatomical and equipment landmarks at each frame. It then classifies swing phases such as top of backswing, impact, and finish to quantify outcomes.
Premier League Clubs Track Player Load With Nordic Edge AI Inside STATSports Vests
STATSports Apex Series embeds Nordic Bluetooth chips in a lightweight vest. The vest streams accelerometer and heart-rate data to edge processors that run on-device AI models. English Premier League clubs use the system to monitor distance, speed, and metabolic power in real time during matches and training.
Researchers slash AI power draw one hundredfold with a new inference method.
A team replaced standard matrix multiplications with a sparse, event-driven algorithm that activates only 1 percent of weights per forward pass. On ImageNet they recorded a 100 times drop in joules per inference and a 0.8 percent rise in top-1 accuracy. The method runs on unmodified GPUs using a custom CUDA kernel released under an open-source license.
Penn team traps light and matter to accelerate matrix operations at lower power.
Engineers at the University of Pennsylvania coupled photons with excitons inside a micro-ring resonator, forming polaritons whose spin precession performs 4-by-4 matrix multiplies in 50 femtoseconds. A prototype chip executed a BERT layer at 2.3 picojoules per MAC, two orders of magnitude below an equivalent electronic systolic array. The device is fabricated in a standard silicon-photonics foundry process.
AI Adoption Adds Measurable Revenue to Small Operations
A study of small businesses found that firms earning $200,000 monthly gained an average $4,400 extra per month after adopting AI tools, totaling $53,800 annually. Companies that integrated AI also increased headcount slightly within six months. The research tracked revenue and staffing metrics across adopters versus non-adopters.
Targeted AI Forecasting Cuts Stockouts and Lifts Sales
Retailer FLO deployed AI-driven replenishment models that raised on-shelf availability from 71 percent to 94 percent and dropped out-of-stocks from 15 percent to 3 percent. Revenue rose 2.7 percent as a direct result. The system analyzed historical sales and supplier lead times to set daily order quantities.