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Issue #12: April

🌱 From the AI Frontier

(without the hype)

April 2026 • WVU AI Discussion Group

This month's theme: AI is no longer just answering questions—it is taking the wheel, rewriting its own code, and now apparently managing your calendar. The pivot from "tool" to "agent" is no longer a roadmap item; it shipped last week. Buckle up.

🎙 Upcoming Talk—WVU AI Discussion Group

Last talk from this academic year

AI Manager or AI Managed?

Lessons from the Platform Economy for the Agentic Re-Organization of Work
Prof. Dana Calacci, Penn State

📅 Thursday, April 24 • 10:00 AM | Zoom
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Upcoming speakers & archives

Abstract

Tech executives frequently tell us that agentic AI will handle the routine while human skills remain safe. Dr. Calacci turns that narrative on its head. Drawing on large-scale empirical evidence from platform labor research, she argues we have already run this experiment—and the result was tighter control, not empowerment.

About the Speaker

Dana Calacci is an assistant professor at Penn State's College of IST and leads the Working Futures Lab. She co-directs the Workers Algorithm Observatory and studies how AI, platforms, and surveillance affect communities.

🏛 Campus News

📍 April 9 Lecture: The Political Economy of AI Data Centers

Dr. Dustin Edwards (SDSU)
📅 Wednesday, April 9 • 4:00 PM • 325 Brooks Hall

RSVP for AI Hyperscaling

Data centers are reshaping economies and infrastructure. This talk examines the policy, financial, and energy systems behind the rapid expansion of hyperscale AI facilities.

Actionable Takeaway: Share with Engineering, Political Science, Environmental Studies, and Communications.

📢 Call for Speaker Nominations

We are building the 2026–2027 schedule. If you know someone doing strong work at the intersection of AI and any discipline, nominate them.

Contact: alromero@mail.wvu.edu

🌍 Global AI News

🤖 GPT-5.4: OpenAI's Most Capable Agent Yet

Article: Introducing GPT-5.4

GPT-5.4 introduces autonomous tool use and desktop navigation. It sets new coding benchmarks but comes at significantly higher cost.

Takeaway: Plan for widening cost gaps between model tiers.

đź§  Yann LeCun's $1B Bet Against LLMs

Article: Yann LeCun’s AMI Secures $1B Seed to Develop AI World Models

LeCun’s AMI Labs focuses on world models and physical reasoning, challenging the dominance of LLMs.

Takeaway: Pair JEPA research with LLM literature in coursework.

⚠️ Amazon AI Code Outage

Article: Amazon summons e-commerce engineers to powwow after code-triggered outage

AI-generated code contributed to major outages, prompting stricter human oversight.

Takeaway: Use as a governance case study.

📱 AI on Mobile: 48 Billion Hours

Article: 2026 State of Mobile: AI Moves Mobile into Its Next Phase

AI usage is now heavily mobile-first, reshaping how users interact with systems.

Takeaway: Design for mobile-first AI literacy.

🎓 AI in Education

📊 AI in Higher Education Report

Article: AI in Higher Education Reaches Inflection Point - New BCC Research Report Maps Adoption, Policy and Institutional Readiness Across Global Universities

Institutions are adopting AI rapidly but lack clear strategy.

Takeaway: Build department-level initiatives.

🔬 OECD Digital Education Outlook 2026

Article: OECD Digital Education Outlook 2026

AI improves performance but not necessarily learning without guidance.

Takeaway: Redesign assessments, not just policies.

đź›  Prompting Tip of the Week

Research Synthesis Across Multiple Papers

Instead of summarizing papers individually, structure extraction across all sources and force comparison.

You are a research synthesis assistant. For each paper:
1. Main argument
2. Key finding
3. Methodology
4. Limitations
5. Connection to previous paper

After all:
— Convergences
— Contradictions
— Research gaps

This structure produces usable literature synthesis rather than isolated summaries.

See You in April

We are now 296 members.

Contact: alromero@mail.wvu.edu