☐ A coordinated Federal effort would be beneficial in establishing a dynamic, “try-first” culture for AI across American industry
☐ Establish regulatory sandboxes or AI Centers of Excellence around the country where researchers, startups, and established enterprises can rapidly deploy and test AI tools while committing to open sharing of data and results.
☐ Accelerate the development and adoption of national standards for AI systems and to measure how much AI increases productivity at realistic tasks in those domains.
☐ Promoting the integration of AI skill development into relevant programs, including career and technical education (CTE), workforce training, apprenticeships, and other federally supported skills initiatives.
☐ Offer tax-free reimbursement for AI-related training and help scale private-sector investment in AI skill development, preserving jobs for American workers.
☐ Led by the Bureau of Labor Statistics (BLS) and DOC through the Census Bureau and the Bureau of Economic Analysis (BEA), study AI’s impact on the labor market by using data they already collect on these topics, such as the firm-level AI adoption trends the Census Bureau tracks in its Business Trends and Outlook Survey. These agencies could then provide analysis of AI adoption, job creation, displacement, and wage effects.
☐ U.S. AI Workforce Labor Market Dynamics
☐ The U.S. AI Workforce: Analyzing Current Supply and Growth
☐ Future of Work with AI Agents
☐ Explore the Future of Your Work with AI Agents
☐ Research The effects of AI on firms and workers
☐ Incorporating AI impacts in BLS employment projections: occupational case studies
☐ Superagency in the workplace: Empowering people to unlock AI’s full potential
☐ Assessing the Implementation of Federal AI Leadership and Compliance Mandates
🧪 Evaluation Methodology for Humanity’s Last Exam (HLE) is designed to rigorously test the reasoning capabilities of AI models—far beyond simple fact recall or pattern matching. Here's how it works:
🔍 Core Evaluation Principles
☐ Closed-ended questions: Each item has a definitive answer—either multiple choice or exact-match short answer. No partial credit, no fuzzy interpretation.
☐ Google-proof design: Answers aren’t searchable online, so models must reason, not retrieve
☐ Held-out test set: A private subset of questions is reserved to detect overfitting and ensure generalization
🧠 What’s Being Measured
☐ True reasoning ability: Can the model deduce, infer, and synthesize knowledge across disciplines?
☐ Cross-domain competence: Questions span over 100 subjects, from advanced mathematics to ancient linguistics
☐ Human-level comparison: Graduate students average ~90% accuracy, while top AI models struggle to reach 30%
🧰 Evaluation Process
☐ Models are tested independently by Artificial Analysis, using standardized prompts and answer formats.
☐ Each response is scored as correct or incorrect—no room for ambiguity.
☐ Performance is tracked on a public leaderboard, showcasing how frontier models stack up against one another
💡 Why It Matters
☐ This benchmark reveals the gap between fluent-sounding AI and actual understanding. It’s a stress test for intelligence, not just language fluency.
☐ Most AI models excel at spotting patterns in massive datasets. But HLE demands true reasoning—multi-step logic, abstract thinking, and synthesis across domains. Can AI truly think like an expert human?
☐ In short, Humanity’s Last Exam is less about showing off what AI knows—and more about revealing what it doesn’t. It’s a mirror held up to machine intelligence, and the reflection is humbling.
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IN-V-BAT-AI helps you recall information on demand—even when daily worries block your memory. It organizes your knowledge to make retrieval and application easier.
Source: How People Learn II: Learners, Contexts, and Cultures
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How can IN-V-BAT-AI be used in classrooms ?
IN-V-BAT-AI is a valuable classroom tool that enhances both teaching and learning experiences. Here are some ways it can be utilized:
☑️ Personalized Learning : By storing and retrieving knowledge in the cloud, students can access tailored resources and revisit
concepts they struggle with, ensuring a more individualized learning journey.
☑️ Memory Support : The tool helps students recall information even when stress or distractions hinder their memory, making it
easier to retain and apply knowledge during homework assignments or projects.
☑️ Bridging Learning Gaps : It addresses learning loss by providing consistent access to educational materials, ensuring that
students who miss lessons can catch up effectively.
☑️ Teacher Assistance : Educators can use the tool to provide targeted interventions to support learning.
☑️ Stress Reduction : By alleviating the pressure of memorization, students can focus on understanding and applying concepts,
fostering a deeper engagement with the material.
🧠 IN-V-BAT-AI vs. Traditional EdTech: Why "Never Forget" Changes Everything
📚 While most EdTech platforms focus on delivering content or automating classrooms, IN-V-BAT-AI solves a deeper problem: forgetting.
✨Unlike adaptive learning systems that personalize what you learn, IN-V-BAT-AI personalizes what you remember. With over 504 pieces of instantly retrievable knowledge, it's your cloud-based memory assistant—built for exam prep, lifelong learning, and stress-free recall.
📧 No coding, no hosting—just email what you want to remember
📱 Live within 24 hours, optimized for mobile and voice search
💸 $30/year for 504 personalized memory recall sites (just 6¢ each)
"🧠 Forget less. Learn more. Remember on demand."
That's the IN-V-BAT-AI promise.
🧠 Augmented Intelligence vs Artificial Intelligence
Understanding the difference between collaboration and automation
🔍 Messaging Contrast
Augmented Intelligence is like a co-pilot: it accelerates problem-solving through trusted automation and decision-making, helping you recall, analyze, and decide — but it never flies solo.
Artificial Intelligence is more like an autopilot: designed to take over the controls entirely, often without asking.
💡 Why It Matters for IN-V-BAT-AI
IN-V-BAT-AI is a textbook example of Augmented Intelligence. It empowers learners with one-click recall, traceable results, and emotionally resonant memory tools. Our “Never Forget” promise isn't about replacing human memory — it's about enhancing it.
Note: This is not real data — it is synthetic data generated using Co-Pilot to compare and contrast IN-V-BAT-AI with leading EdTech platforms.
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🎉 72,133 Visitors 11/14/25
IN-V-BAT-AI just crossed 72,133 organic visits—no ads, just curiosity and word-of-mouth.
Every visit is a step toward forgetting less, recalling faster, and remembering on demand.
Never Forget. Learn on demand.
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| Year | Top 10 countries | Pages visited |
| 2023 | 1. USA 2. Great Britain 3. Germany 4. Canada 5. Iran 6. Netherlands 7. India 8. China 9. Australia 10. Philippines | 127,256 Pages / 27,541 Visitors |
| 2024 | 1. USA 2. China 3. Canada 4. Poland 5. India 6. Philippines 7. Great Britain 8. Australia 9. Indonesia 10. Russia | 164,130 Pages / 40,724 Visitors |
| Daily Site Visitor Ranking 11/14/2025 | 1. Israel 2. USA 3. China 4. Vietnam 5. Japan 6. India 7. Australia 8. Argentina 9. Brazil 10. Ukraine | Year to Date 204,611 Pages / 72,133 Visitors |
Data source: Advanced Web Statistics 7.8
Approximately between 2.3 and 2.5 million schools globally, according to the latest available data from government and education ministry reports.
🔗 The challenges schools face: 2025/2026 🔗 USA ~ Public 98,500 ~ Private 30,000 ~ Total 128,500 🔗 Canada ~ Public 15,500 ~ Private 2,000 ~ Total 17,500 🔗 Brazil ~ Public 138,000 ~ Private 40,000 ~ Total 178,000 🔗 Vietnam ~ Public 42,000 ~ Private 8,000 ~ Total 50,000 🔗 China ~ Public 217,200 ~ Private 152,800 ~ Total 470,000 🔗 India ~ Public 1,022,386 ~ Private 335,844 ~ Total 1,358,230 🔗 Japan ~ Public 30,240 ~ Private included ~ Total 30,240 🔗 Morocco ~ Public 20,600 ~ Private 6,300 ~ Total 26,900 🔗 Indonesia ~ Public 390,718 ~ Private included ~ Total 390,718 🔗 Philippines ~ Public 47,831 ~ Private 13,000 ~ Total 60,831 🔗 Great Britain ~ Public 29,202 ~ Private included ~ Total 29,202 🔗 Australia ~ Public 9,653 ~ Private included ~ Total 9,653 🔗 Russia ~ Public 39,070 ~ Private included ~ Total 39,070 🔗 Germany ~ Public 31,039 ~ Private included ~ Total 31,039 🔗 Poland ~ Public 36,291 ~ Private included ~ Total 36,291 🔗 Iran ~ Public 80,000 ~ Private included ~ Total 80,000 🔗 France ~ Public 58,100 ~ Private included ~ Total 58,100 🔗 Mexico ~ Public 132,505 ~ Private included ~ Total 132,505