MathGPT.ai Expands with Anti-Cheating AI Tutor for Colleges

✨TodayOnAI’s Daily Drop

• MathGPT.ai Expands with Anti-Cheating AI Tutor for Colleges

• As 95% of AI Pilots Fail, Maisa Bets on Trust and Accountability

• Nvidia reports record sales as the AI boom continues

• 💬 Let’s Fix This Prompt

• 🧰 Today’s AI Toolbox Pick

AI News

MathGPT.ai Expands with Anti-Cheating AI Tutor for Colleges

🚀 TodayOnAI Insight: MathGPT.ai, an AI-powered math tutor and teaching assistant, is expanding to more U.S. universities this fall after a successful pilot at 30 schools. Its instructor-focused platform aims to curb AI-enabled cheating while enhancing student learning through guided support.

🔍 Key Takeaways:

• MathGPT.ai uses Socratic questioning to tutor students without giving direct answers, promoting critical thinking over rote learning.

• Professors can now control when and how students access the AI, set answer attempt limits, and require image uploads for work verification.

• The platform integrates with Canvas, Blackboard, and Brightspace, and now includes accessibility features like audio mode and screen reader support.

• Unlike open-ended chatbots, MathGPT.ai enforces strict guardrails to prevent off-topic or inappropriate conversations.

• Expansion plans include a mobile app, more academic subjects, and broader availability. Pricing ranges from free to $25 per student per course.

💡 Why This Stands Out: As generative AI seeps into education, MathGPT.ai offers a structured, responsible alternative to general-purpose chatbots. Its anti-cheating design and instructor-first features reflect a growing shift toward AI that augments—not replaces—human teaching. The question is no longer whether AI belongs in classrooms, but how thoughtfully it’s implemented.

Maisa AI

As 95% of AI Pilots Fail, Maisa Bets on Trust and Accountability

🚀 TodayOnAI Insight: Despite a reported 95% failure rate for enterprise AI pilots, Maisa AI is betting on a different path: agentic, accountable AI systems. The year-old startup just raised a $25M seed round led by Creandum to launch Maisa Studio, a platform for building digital workers that prioritize reliability, auditability, and enterprise-scale deployment.

🔍 Key Takeaways:

• Maisa Studio enables companies to train AI “workers” in natural language, focusing on process execution rather than simply generating responses.

• Its architecture includes HALP (human-augmented LLM processing) and a Knowledge Processing Unit (KPU) designed to curb hallucinations and ensure accountability.

• Current clients include a major bank, automakers, and energy firms, with deployments offered via secure cloud or on-premise.

• Backers include Creandum, NFX, Village Global, and Forgepoint Capital via Banco Santander, signaling appeal in regulated sectors.

• The 35-person startup plans to nearly double headcount by early 2026 while expanding adoption through Maisa Studio.

💡 Why This Stands Out: Most enterprise AI initiatives are stumbling, but Maisa is addressing the root issue: trust. By designing systems that make reasoning transparent and auditable, it positions itself as a next-gen alternative to rigid RPA and “black box” copilots. The big question is whether enterprises will embrace this slower, structured path over the quick wins of vibe-coding platforms.

Nvidia

Nvidia reports record sales as the AI boom continues

🚀 TodayOnAI Insight: Nvidia reported $46.7 billion in Q2 revenue—a 56% year-over-year increase—driven by surging demand for its AI-focused data center chips. Net income soared to $26.4 billion, underscoring the company’s dominance at the center of the global AI boom.

🔍 Key Takeaways:

• Nvidia’s Q2 data center revenue hit $41.1 billion, with $27 billion attributed to its flagship Blackwell chips.

• Net income climbed 59% year-over-year to $26.4 billion, reflecting high-margin AI infrastructure demand.

• CEO Jensen Huang forecasted $3–4 trillion in AI infrastructure spending by decade’s end.

• Nvidia powered OpenAI’s recent gpt-oss models, processing 1.5M tokens/second on a Blackwell GB200 NVL72 system.

• Despite U.S. policy shifts, Nvidia shipped no H20 chips to China due to regulatory uncertainty and official discouragement from the Chinese government.

💡 Why This Stands Out: Nvidia’s results cement its role as the backbone of the AI hardware stack, with Blackwell emerging as a cornerstone for hyperscaler and model developer infrastructure. Yet geopolitical tensions continue to complicate its position in global markets, especially China. As AI demand accelerates, will regulation keep pace with innovation—or become its bottleneck?

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📰 More from the AI World

• Google Translate takes on Duolingo with new language learning tools

• Google Gemini’s AI image model gets a ‘bananas’ upgrade

• Nvidia reportedly halts production on its H20 AI chips

• Amazon AGI Labs chief defends his reverse acqui-hire

🧰 Today’s AI Toolbox Pick

• 🎨Sketch2App (Coding Tool): Generates code from a hand-drawn sketch.

• 🥪Munch (Content Tool): Transforms long-form videos into short clips for YouTube Shorts, TikTok, or Instagram.

• ☎️Vibrato (Assistant Tool): An AI assistant that makes phone calls for you.