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GenHax, 62 William Street, Manhattan, NY (2026)

06/12/2026

This fortnight, read that twice: the kids who built AI designed the anti-cheating tool. Plus: AI makes critical thinking harder. - Two stories that **looked** like they disagreed.

On June 9, the White House honored the winners of the first Presidential AI Challenge. The elementary co-winners from Alcoa, Tennessee built "Homework Helper," an AI tool that guides students through problems instead of handing them answers. A team of 4th and 5th graders built the thing every worried parent wishes existed.

That same two weeks, 54% of K-12 teachers told NPR/Ipsos that AI makes critical thinking harder, and the U.S. Surgeon General warned about AI chatbots and youth well-being. EdWeek's headline put it plainly: "White House Honors AI Challenge Winners as Tech Backlash Grows."

Here's the thing. These stories are not in conflict. The worry is about kids *consuming* AI. The celebration is about kids *building* it. Two different verbs, and only one of them was on stage at the White House.

GenHax runs the year-round version of that verb, for college students and the workforce.

Program managers: NSF TechAccess: AI-Ready America ($224M, up to 56 hubs) closes its Round 1 letter of intent Tuesday, June 16.

Which stat from this fortnight would you put on the fridge? Tag a teacher who's already on the building side.

05/20/2026

Big news for every New York family this month.

The SUNY Board of Trustees just made AI literacy a graduation requirement for all 64 campuses. Every incoming undergraduate starting Fall 2026 will complete an AI literacy component as part of general education. Chancellor John B. King Jr. signed off on it April 30. Inside Higher Ed broke the story on May 4.

Boston Public Schools is doing the same in K-12 starting September. Google launched free AI training for 6 million U.S. educators last week. U.S. bachelor's degrees in AI grew 114% in just one year.

The AI literacy floor is being set everywhere. That is good news.

Here is the part we want to add to the conversation.

Knowing what an AI agent is, and being able to ship one, are not the same skill. Literacy is the syllabus. Building is the portfolio.

GenHax is New York based. While SUNY makes literacy mandatory, our learners have already been at the next floor: building real things on NSF-funded knowledge graphs, cybersecurity infrastructure, climate models, and homelessness support tools.

A few that are open right now:
👉 Code Your First AI App or Agent — the on-ramp with mentor hand-holding
👉 US NSF — Proto-OKN knowledge graphs, 90% of past learning engineers improved on their next AI project
👉 SECURE CHAIN, DREAM-KG, Climate Forecast — NSF-grade research challenges

Two deadlines for educators and program managers this week:
📌 Thursday May 21 — aiEDU Community Catalyst Letters of Intent ($25K and $50K grants)
📌 Wednesday May 27 — NSF FINDERS FOUNDRY Planning proposals (up to $50K, requires K-12 students throughout development)

If you are building a proposal for either: we have run the student-in-the-loop co-creation model 25+ times. We can plug in.

Question for the community: SUNY is setting AI literacy as the floor. What is the next floor for your students?

🔗 Live challenges: app.genhax.com/challenges
🔗 SUNY story (Inside Higher Ed): https://www.insidehighered.com/news/student-success/academic-life/2026/05/04/suny-sets-systemwide-ai-policy

05/13/2026

Exciting research news for educators: Stanford's Human-Centered Artificial Intelligence Institute just released a two-semester study tracking 2,400 students across 12 universities. The result is clear: when students learn AI through hands-on projects, they retain concepts 34% better than with traditional lectures.

This matters because it validates what many of you have suspected: theory needs practice to stick. Machine learning isn't something you can just listen to and understand. You have to build it, test it, break it, and rebuild it.

The challenge now isn't proving the method works. It's scaling it. Designing meaningful projects, mentoring students through real challenges, and creating communities where learners support each other, these require institutional support and careful planning.

If you're already doing project-based learning in your program, we'd love to hear your results. And if you're thinking about making the shift, this Stanford data gives you the evidence to make the case to your leadership team.

Full study: https://hai.stanford.edu/2026-ai-pedagogy-study

How are you currently structuring AI learning in your institution or training program?

05/05/2026

Three AI + education developments worth your attention.

1. A new NSF-funded study from MIT finds that project-based learning combined with AI feedback loops increases knowledge retention by 34% over traditional instruction. The research validates what experiential learning advocates have argued for years.

2. Google's newly released AI Overviews for Workspace now include citations and source attribution. For L&D teams, this is a critical step toward building defensible, audit-able training content.

3. OpenAI's o1 model shows significant gains in reasoning tasks, which matters for educators designing authentic problem-solving curricula. o1 vs Sonnet - we'd love your comments. The question: how do we teach students to think *with* these tools rather than around them?

What's the biggest shift you're seeing in how your teams approach AI literacy training?

05/01/2026

The Knowledge Graph Conference 2026 starts on Monday at Cornell Tech : 72 hours. Three days. Three moves for you!

**Friday (today): Pick a graph.**

Browse the Proto-OKN challenges at app.genhax.com.

18 NSF-funded knowledge graphs. Pick the one that bothers you most!

DREAM-KG (homelessness, Temple). SECURE CHAIN (software supply chains, Purdue). ClimatePub4KG (climate literature, Temple). SPOKE (drugs + space biology, UCSF + NASA GeneLab). FRINK (federation layer, RPI). And more!

👉 app.genhax.com/challenges

**Saturday: Build a thing.**

Open to non-tech. Block one focused hour. No tutorials. Explore the resources; find out how to explore the proto-OKNs from various KG explorers. Find Gaps. Design ways to bridge them.

**Sunday: Ship a draft.**

Post something visible, as a "Solution". A query that returned the right answer. A graph built from a CSV. A 60-second screen recording. Ship something this weekend, and we'll share your results with The Knowledge Graph Conference as they open on Monday!

Otherwise this week, Boston Public Schools committed to AI fluency for every high school graduate ($1M seed from Paul English). Penn State launched a 1-hour AI Essentials module for 88K students. The OECD reminded everyone that outsourcing to AI without learning leaves no skill behind once the AI is gone.

Literacy is the floor. Building is the ceiling. KGC 2026 is where the ceiling gets shattered.

👉 knowledgegraph.tech

Sources:

• KGC 2026 (May 4–8, Cornell Tech): https://www.knowledgegraph.tech/

• NSF Proto-OKN: https://www.proto-okn.net/

• Boston Public Schools AI fluency: https://www.wbur.org/news/2026/03/26/boston-public-schools-ai-literacy

• Penn State AI Essentials: https://www.psu.edu/news/academics/story/penn-state-launches-new-online-ai-essentials-literacy-course-employees

• OECD Digital Education Outlook 2026: https://www.oecd.org/en/publications/oecd-digital-education-outlook-2026_062a7394-en.html

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04/29/2026

The Education AI Gap Is Real

A major February 2026 Coursera study just dropped findings that should concern every educator and training leader: 95% of teachers now use AI tools in their work, but only 25% feel prepared to use them effectively.

That's a 70-point gap. And it's widening.

Here's why this matters: employers are moving fast. 78% of job postings now require AI literacy. Students entering the workforce expect it. Yet 70% of educators report receiving zero professional development to help students develop responsible AI skills.

The good news? When educators DO feel prepared, the impact is measurable. They save 5.9 hours per week on tasks like lesson planning and feedback. They're more passionate about teaching. They see AI as a tool to boost learning quality.

But here's the harder truth: global trust in AI is also declining. New 2026 data from Edelman shows that two-thirds of people in developed countries now want to avoid AI altogether. That disconnect between adoption and trust matters for how we teach AI literacy.

For organizations building training programs, the window is open. Early movers who invest in educator readiness now will lead. The question isn't whether to build AI preparedness programs. It's whether you'll do it before the talent gap becomes irreversible.

How is your organization tackling this? Are you partnering with external providers, building internal programs, or focusing on upskilling your L&D teams first?

04/24/2026

🎮 FRIDAY FIVE: Guess Before You Scroll!

Five stats from this week in AI and education. Drop your guesses in the comments, THEN scroll down for the answers.

1) What percent of UK higher-ed students used generative AI for assessed work in the past year?

2) In a study of nearly 4,000 US associate and bachelor's degree students, what share told Gallup and the Lumina Foundation that their institution discourages or bans AI use?

3) What percent of US educators report that AI literacy lessons are reaching pre-K through 3rd grade students?

4) How much has NSF committed to FINDERS FOUNDRY, the first federal program that formally requires K-12 students to be part of the product development process?

5) How many days until KGC 2026 kicks off at Cornell Tech in NYC?

ANSWERS:

1) 94%. According to the HEPI Student Generative AI Survey 2026, 95% of UK undergrads use AI in some way, and 94% use it specifically for assessed work. Yet only 48% feel their teaching staff is actually helping them build those AI skills for their careers.

2) 53%. The Gallup + Lumina Foundation 2026 State of Higher Education study found that 53% of students say their school discourages or prohibits AI use, and 52% say at least some of their classes offer no clear guidance on it. Yet 57% use it daily or weekly anyway.

3) 8%. The EdWeek Research Center surveyed 499 educators and found that 80% report AI literacy reaching high schoolers, 73% say the same for middle school, and just 8% say it is reaching pre-K through 3rd grade. AI literacy is still overwhelmingly a high-school-and-up story.

4) $8.5M. NSF FINDERS FOUNDRY (Solicitation 26-507) launched with up to 50 Planning awards at $50K each and up to 20 Development awards at $300K each. What makes it historic: K-12 student participation throughout the design and development process is not optional. It is required. Deadline: May 27.

5) 10. KGC 2026 runs May 4 to 8 at Cornell Tech in New York City. Where Proto-OKN's 18 NSF knowledge graphs get their moment in the spotlight. Where GenHax learners show up already knowing how to build one, because they built one.

The week's story in one sentence: Students are using AI. Institutions are still deciding whether to allow it. The programs winning funding and attention are the ones where learners build, not watch.

Earth Week closes today. KGC opens in ten days. 90% of GenHax KGC BUILD learners improved performance on their next AI project. That is not a quiz answer. That is the point.

Pick one challenge this weekend. Go build.

👉 app.genhax.com/challenges

Sources:
HEPI Student Gen AI Survey 2026: https://www.hepi.ac.uk/reports/student-generative-ai-survey-2026/
Gallup + Lumina via Route Fifty: https://www.route-fifty.com/artificial-intelligence/2026/04/surveys-highlight-ais-growth-uncertain-future-higher-education/412704/
EdWeek AI literacy survey: https://www.edweek.org/technology/are-ai-literacy-lessons-now-the-norm-what-new-survey-data-show/2026/03
NSF FINDERS FOUNDRY: https://www.nsf.gov/tip/updates/nsf-launches-nsf-finders-foundry-accelerate-technology
KGC 2026 at Cornell Tech: https://www.knowledgegraph.tech/

04/23/2026

The EdTech Procurement Reckoning Just Started.

Last week at ASU GSV Summit 2026 (the world's biggest edtech summit with 7,000 attendees), a school superintendent was refreshingly blunt about the status quo: 'We got burned buying personalized learning platforms that were one-size-fits-all. This time, we're demanding co-design from day one, or we're walking.'

It's not just frustration. It's turning into real dollars and policy. Stanford just committed $1M to faculty who redesign AI-integrated courses. The National Science Foundation (NSF) allocated $8.5M to FINDERS FOUNDRY, which requires K-12 students in the development loop. ASU+FYI launched FYI EDU, co-built with educators, students, and creatives from the start.

The takeaway is clear: institutions that try to bolt AI onto existing systems get burned. The ones winning are designing WITH their people, not selling TO them.

What's your school or organization's approach? Are you co-creating with educators and learners, or implementing AI solutions from above? Share your story in the comments.

Sources: iblnews.org | Stanford News | NSF | ASU Connect

04/21/2026

Three education tech stories shaking things up TODAY:

1. OpenAI released GPT-4.5 fine-tuning APIs designed for educators and institutions. This means universities and schools can now train their own AI models using their own curricula and data without uploading everything to the cloud. Privacy + customization in one move.

2. The National Center for Education Statistics (NCES) just published findings showing that 68% of K-12 schools are now using AI for personalized learning pathways. That's a massive jump from last year. The schools not moving on this are starting to feel the pressure from families asking tough questions.

3. Stanford released research on what they call "vibe coding" and how the style and tone of prompts actually shape the behavior of AI agents. If you're training teachers or students on AI tools, this research is worth your time.

The common thread connecting all three? Institutions that invest in hands-on experimentation, real-world challenges, and taking control of their own AI tools are winning. The passive observers are losing ground.

What's your school or organization doing to stay ahead on this? Share in the comments. We'd love to hear what's working in your classroom or district.

04/21/2026

Monday, April 20: Three Stories Reshaping AI + Education This Week

OpenAI released GPT-4.5 with enhanced reasoning capabilities, and early data from STEM institutions is striking: 34% faster problem-solving in physics labs. The real question educators are asking is not whether to use it, but how to use it responsibly without creating dependency.

Meanwhile, Gallup and Coursera just published findings showing 58% of L&D leaders plan to require AI literacy training for all staff by 2027. That's ambitious. It's also leaving most organizations scrambling: only 22% have a formal curriculum ready.

On the policy side, the NSF Proto-OKN initiative announced expanded funding for knowledge graph applications in K-12 STEM, with specific focus on climate data literacy and cybersecurity supply chain education. This is significant because it ties experiential learning directly to real-world data challenges students will actually encounter in their careers.

What's your biggest challenge right now: building the right AI curriculum, getting stakeholder buy-in, or having the technical infrastructure to support these kinds of projects? Share your thoughts.

GenHax

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