🎓 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 (2334)
How Bryson DeChambeau Uses Google Cloud AI to Track 30 Body Points Per Swing
Bryson DeChambeau worked with Google Cloud to build a deep learning system that tracks over 30 keypoints on the body, club, and ball using proprietary 2D and 3D models. The system records swing phases such as top of swing, impact, follow-through, and finish, then logs shot outcomes for analysis.
How STATSports Apex Wearables Run Edge AI Inside Premier League Vests
STATSports Apex Series uses Nordic Semiconductor Bluetooth chips embedded in lightweight vests to collect live performance data. The devices run edge AI processing on the vest itself and feed metrics to English Premier League clubs and other major organizations.
Claude 3.5 Sonnet Gains Direct Computer Control
Anthropic released Claude 3.5 Sonnet with computer use, allowing the model to move the mouse, type on the keyboard, and complete actions such as editing spreadsheets or browsing websites. The feature works through a controlled desktop environment where the model receives screenshots and issues precise mouse and keyboard commands. Small teams and freelancers can now automate repetitive desktop tasks without writing custom scripts.
Meta Releases 405 Billion Parameter Llama Model for Free
Meta open sourced Llama 3.1 405B, a 405 billion parameter model available for free download and commercial use. The release includes weights that match or exceed several closed frontier models on standard benchmarks. Developers and small businesses can now run the model locally or on low cost cloud GPUs without paying per token API fees.
Separate probabilistic AI from deterministic automation in SEO workflows
HubSpot distinguishes probabilistic tools for ideation and exploration from deterministic automation for repetitive tasks such as site crawls, rank tracking, schema validation, and broken link checks. The workflow assigns variation heavy prompts to AI models and routes verification steps to scripted crawlers. This split reduces hallucination risk while scaling output consistency.
Deploy purpose built AI agents that carry brand context across full campaigns
Jasper supplies a library of agents for SEO content, email, social, personalization, and research that ingest brand voice and execute multi step workflows rather than single outputs. Each agent chains research, drafting, compliance checks, and distribution without further prompting. The platform stores persistent brand data so agents reference it automatically on every task.
AI Ingredient Matching Replaces Generic Skincare Advice
PMC article PMC12085869 describes platforms that scan active ingredients in products and score them against user concerns like acne or hyperpigmentation. Tools evaluate niacinamide for pigment reduction and hyaluronic acid for hydration, then output ranked regimens. The process replaces broad recommendations with quantified ingredient-to-concern matches.
AI DNA Analysis Removes the In-Person Anti-Aging Visit
DoctorsBestWellness states AI now pairs consumer genetic tests with virtual consultations to generate anti-aging regimens without clinic appointments. The system cross-references DNA markers for collagen breakdown and oxidative stress, then outputs product and treatment sequences. No travel or scheduling is required.
How Bryson DeChambeau Uses Deep Learning to Analyze Every Golf Swing
Bryson DeChambeau's system runs deep learning algorithms on proprietary 2D and 3D models. It tracks over 30 body, club, and ball keypoints at phases including top of swing, impact, follow-through, and finish. The tool also records shot outcomes for each motion.
How STATSports Apex Vests Feed Live Data to Edge AI Models
STATSports Apex Series vests use Nordic-powered Bluetooth sensors embedded in lightweight garments. English Premier League clubs collect real-time motion and heart-rate data during matches. The system processes inputs on-device with edge AI to deliver instant performance analytics.
Anthropic Ships Claude 3.5 Sonnet with Public Computer Use API
Anthropic released an API endpoint that lets Claude 3.5 Sonnet move the mouse, type on the keyboard, and drive the browser. Users send screenshots and task instructions through the API; the model returns coordinate clicks and keystrokes until the desktop task finishes. No custom code or developer hiring is required for routine file, spreadsheet, or web workflows.
Microsoft Debuts MAI-Code-1-Flash for Text to Source Generation
At the Build conference in San Francisco, Microsoft introduced MAI-Code-1-Flash, a model that accepts natural language prompts and emits complete HTML, CSS, and JavaScript files. The announcement highlighted reduced inference costs and independence from OpenAI endpoints. The model runs inside Azure AI Foundry and returns runnable code in a single API call.
Separate probabilistic AI from deterministic automation in your SEO process
HubSpot's guidance distinguishes tasks that benefit from variation, such as ideation, from repetitive tasks like site crawls, rank tracking, schema validation, and broken link checks. Probabilistic tools generate multiple outputs for exploration. Deterministic automation executes verifiable, rule-based checks without variation.
Deploy purpose-built AI agents instead of generic chat prompts for marketing tasks
Jasper ships a library of agents pre-configured for SEO content, campaign execution, email sequences, social posts, personalization, and research. Each agent loads brand voice, guidelines, and workflow rules automatically. The system runs complete multi-step processes rather than isolated text generations.
AI Skincare Consults Replace Office Visits
The platform pairs artificial intelligence with DNA testing to generate anti-aging plans. Users receive product and treatment recommendations without scheduling an appointment or leaving home. The source claims the system creates hyper-customized regimens based on individual genetic data.
AI Screens Skincare Ingredients for Targeted Results
The PMC article describes AI platforms that evaluate active compounds against concerns such as acne, hyperpigmentation, aging, and sensitivity. One example shows an AI tool suggesting niacinamide for hyperpigmentation and hyaluronic acid for hydration. The system scores ingredients by measured effectiveness rather than marketing claims.
Bryson DeChambeau Turns Motion Capture into a Training Algorithm
DeChambeau's system uses deep learning with proprietary 2D and 3D models. It tracks over 30 body, club, and ball keypoints and classifies swing phases such as top of swing, impact, follow-through, and finish. The output feeds performance metrics back to the player in real time.
STATSports Apex Moves Performance Data from Cloud to Vest
The Apex Series sensor sits in a lightweight vest and streams heart rate, acceleration, and GPS via Bluetooth to Nordic-powered edge processors. English Premier League clubs and other pro teams receive live load metrics without waiting for post-session uploads. Edge AI filters the raw data locally before any cloud sync.
Claude 3.5 Sonnet Gains Direct Desktop Control Through Anthropic API
Anthropic added a computer use feature to Claude 3.5 Sonnet that lets the model move the cursor, click interface elements, and type text inside applications. The model receives screenshots and outputs mouse coordinates and keystrokes through the Anthropic API. Users can now chain desktop actions without writing code or hiring developers.
Meta Publishes Full Weights for Llama 3.1 405B Under Open License
Meta released the complete 405 billion parameter weights for Llama 3.1 along with training code and evaluation benchmarks. Anyone can download the model from Hugging Face and run inference on local GPUs or cloud instances. The release removes API costs for tasks that previously required paid frontier models.