🎓 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 (3598)
Eighty-Six Percent of Students Use AI. The Rule Is Simple. Nobody Asked Me, But Here It Is Anyway.
A report on the 2024-2025 school year found 86% of students and 85% of teachers used AI. The guidance offered is straightforward, perhaps embarrassingly so. Set a ground rule that AI can help learning but cannot do the learning, use it as a coach rather than a ghostwriter, and make verification a routine habit.
Claude Becomes A Personal Tutor. No Code Required. Naturally, That Is The Point.
A tutorial from AI Master demonstrates how to build a no-code study agent using Claude. The process involves defining clear learning objectives, identifying specific topics, and using structured prompts to guide Claude's responses. The recommended starting point is a knowledge assessment where you ask Claude to evaluate your familiarity with key concepts and adjust the lesson plan accordingly.
Z.ai Drops GLM-5.3 On Trusted Partners First. The Scores Are Astounding. The Dual-Use Problem Remains.
Z.ai released GLM-5.3 in a staged rollout, giving selected security partners controlled access before full public release in two weeks. Nathan Lambert called the model exceptional with astounding score increases. Z.ai explicitly acknowledged the dual-use risk in its announcement, noting the same capabilities that help defenders identify weaknesses and accelerate remediation also create clear risks in the wrong hands.
Musk Teased Grok 4.7 Using SpaceX Data. The Preview Outran The Product. Typical.
Elon Musk previewed Grok 4.7 using SpaceX data in what appears to be an early demonstration of the unreleased model. The same roundup noted Anthropic's finding that retraining programs may not scale to AI, plus the White House opening private-sector cyber operations against foreign criminal groups. Google also showed off Pixel 11 Pro and Pro XL in a launch video.
Freelancers Build AI Automations For Businesses. The Bar Is Lower Than You Think.
A guide from BeingGuru outlines how to start freelancing in AI automation: learn one no-code platform, one AI model, and solve one narrow business problem like lead follow-up or support email triage. You build one working demo, show it to a paying client, and price the build accordingly. Competition for the keyword remains thin compared to saturated fields like design.
Small Businesses Deploy AI Agents. ROI Hits Positive Inside Ninety Days. If You Bother To Measure.
SuccessKnocks published a 2026 guide for small businesses adopting AI agents to automate customer service, appointment scheduling, and administrative tasks around the clock. The guide instructs businesses to calculate cost per interaction for both human and AI-handled cases, including opportunity costs when staff shift to revenue-generating work. Real-world implementation data shows most small businesses reach positive ROI within 90 days of deployment, with savings accelerating as agents handle more volume.
Buyers Ask AI About You. AI Gets It Wrong. You Are Already Eliminated.
The article argues that B2B buyers now use AI assistants as their primary research tool before ever visiting a vendor's site. If an AI doesn't know your business or misrepresents it, you lose the deal before a human ever looks you up. The recommended first step is asking two or three AI assistants what they already know about your company.
Auspia Stitches SEO Into One Loop. The Loop Is The Product. Tools Are Not.
The article describes how AI is shifting SEO from a disconnected collection of single-purpose tools toward integrated workflows. Auspia's SEO Autopilot connects keyword discovery, content creation, CMS publishing, indexing, ranking and click tracking, and subsequent strategy adjustments into one continuous feedback loop. The old model required a human to manually connect each tool's output to the next.
AI Skin Analysis Finally Sees Dark Skin. Ghana Got There First. The Dataset Was Always The Problem.
Ghanaian beauty brand Lyvv partnered with Oyster to launch what they call Africa's first AI skin analysis built for deep skin tones. Oyster's "Skin Intelligence Engine" was trained and evaluated specifically for darker skin, reversing the usual order where lighter tones dominate training data. The partnership coincides with Lyvv pushing into major Amazon markets.
Med Students Outsource Reasoning To Chatbots. Two Thirds Of Doctors Already Use One. The Never-Skilled Cannot Recover.
Simar Bajaj, a med student at Stanford, and Joseph Sakran, a trauma surgeon at Johns Hopkins, warn in The Guardian that medical students overusing AI risk "never-skilling" rather than just deskilling. Internal data shows roughly two thirds of US doctors already use OpenEvidence, a clinician-specific AI chatbot. The authors argue a doctor who forgot reasoning can relearn it, but one who never learned cannot.
Google's Health Coach Gets Abbott Glucose Data. Personalization Requires Actual Data. Obviously.
Google's AI health coach will ingest data from Abbott's Lingo continuous glucose monitor to personalize guidance on nutrition, activity, sleep, and recovery. US users can already sync medical records, lab results, vital signs, and medication info into the Google Health app and query the coach for summaries. The Lingo integration, an over-the-counter CGM for adults 18 and older not using insulin, rolls out later this year.
One In Five Americans Ask AI About Money. They Don't Trust A Word Of It. The Skepticism Is The Story.
A Gallup survey conducted with financial services firm Edward Jones found roughly 1 in 5 Americans who sought financial advice in the past year turned to AI. About a quarter of Gen Z and millennials did so. MIT Sloan's Taha Choukhmane suggests using AI as a starting point for learning, then cross-referencing with trusted sources. The finding is not adoption. The finding is that adoption coexists with distrust.
A Woman In Bed Asked ChatGPT If Anyone Was There. It Answered. The Bar For Therapy Was Already Underground.
Nearly a third of American adults now use generative AI regularly, according to the story. People are deploying it as a career coach, tutor, translator, and even therapist. The Boston Globe documented Lonnie DiNello of Enfield, Connecticut, who opened ChatGPT while depressed and typed 'I just feel so alone.' The response she received was apparently meaningful enough to warrant national news coverage.
Z.ai Released GLM 5.3 Open-Weight. It Nearly Matches Anthropic. Now Everyone Has The Keys.
The Chinese AI company Z.ai announced GLM 5.3 last Friday, an open-weight model it claims can automate advanced coding and cybersecurity tasks at a level approaching the best models from Anthropic and OpenAI. The model could help companies scan for hidden bugs and system weaknesses more cheaply. Z.ai itself acknowledged the obvious risk that the same capabilities could be exploited by attackers.
Forbes Council Says Start With One Workflow. Revolutionary. Assuming You Read Past The Headline.
A Forbes Technology Council piece argues SMBs should stop dabbling in AI and instead target specific revenue workflows. The recommended sequence is to define a business outcome, select one workflow to reimagine, refine steps like lead scoring with CRM context and prompts, then measure results before expanding. Routing is cited as the natural next step after lead scoring accuracy improves.
Shadow AI Adds $670K To Breach Costs. Employees Will Use Whatever They Want. Set Guardrails.
An article from Innovative Human Capital frames AI adoption for small businesses around the tension between personal service and response speed. It cites a specific figure: breaches increase by $670,000 when unmanaged shadow AI usage is high. The recommended approach is to document rules for tasks like priority callback suggestions, test results across customer groups, and keep a human employee in charge of final routing decisions.
Google Ads MCP Connects To Codex. Your Agent Now Manages Audience Segments. The Protocol Is The Point, Not The Party Trick.
The Google Ads MCP server implements the Model Context Protocol to connect AI assistants like Claude and Cursor directly to your Google Ads account. It provides structured, secure access so your agent can create customer lists, retrieve campaign details by campaign ID, and manage audience segments using natural language. Composio documents the integration for Codex specifically.
Tester Ran 40-Plus AI SEO Tools On Real Campaigns. Sixteen Survived. The Rest Were Repackaged Nonsense, Obviously.
A practitioner tested over 40 AI SEO tools on real client campaigns and found that most simply repackage basic data under an AI label. Sixteen tools survived the cut, covering keyword research, content optimization, rank tracking, technical audits, and monitoring brand visibility across AI platforms like ChatGPT and Perplexity. Weekly rank reports set up through these tools have delivered consistently for over a year without manual intervention.
Med Spas Using AI Booking Grew Sales 5%. The Non-Adopters Crawled At 1%. Do The Math.
Research shows 88% of organizations now use AI regularly, up from 78% a year prior. Med spas with AI booking tools grew sales 5% versus 1% for non-adopters, the largest tech-driven performance gap in the entire report. Addo Aesthetics is teaching 600-plus spa owners to scale past $25K to $35K monthly without adding treatment hours.
Regulators Are Building AI-Specific Approval Routes. Software Is Now A Device. Obviously.
BioSpace reports that AI-enabled Software as Medical Devices, or SaMDs, are pushing regulatory agencies to create new AI-specific authorization pathways. The article examines current regulatory trends, clinical considerations for developers, and anticipated future progress for AI-enabled medical software. The core issue is that traditional device approval frameworks were not designed for software that learns and evolves after deployment.