Unfortunately, without regulatory protections, we humans will likely become the objective that AI agents are tasked with optimizing.
I am most concerned about the conversational agents that will engage us in friendly dialog throughout our daily lives. They will speak to us through photorealistic avatars on our PCs and phones and soon, through AI-powered glasses that will guide us through our days. Unless there are clear restrictions, these agents will be designed to conversationally probe us for information so they can characterize our temperaments, tendencies, personalities and desires, and use those traits to maximize their persuasive impact when working to sell us products, pitch us services or convince us to believe misinformation. .
The higher education community continues to grapple with questions related to using artificial intelligence (AI) in learning and work. In support of these efforts, we present the 2025 EDUCAUSE AI Landscape Study, summarizing our community’s sentiments and experiences related to strategy and leadership, policies and guidelines, use cases, the higher education workforce, and the institutional digital divide.
Love is patient, love is kind. It does not envy, it does not boast, it is not proud. It does not dishonor others, it is not self-seeking, it is not easily angered, it keeps no record of wrongs.
34 “A new command I give you: Love one another. As I have loved you, so you must love one another. 35 By this everyone will know that you are my disciples, if you love one another.”
In the coming years, AI systems will have a major impact on the ways people work. For that reason, we’re launching the Anthropic Economic Index, an initiative aimed at understanding AI’s effects on labor markets and the economy over time.
The Index’s initial report provides first-of-its-kind data and analysis based on millions of anonymized conversations on Claude.ai, revealing the clearest picture yet of how AI is being incorporated into real-world tasks across the modern economy.
We’re also open sourcing the datasetused for this analysis, so researchers can build on and extend our findings.
The opening weeks of the second Trump administration convince us, as law professors who have spent years studying the American legal system, that we are beginning to see unfold the gravest threat to the rule of law and its constituent principles – the separation of governmental powers, the independence of prosecutorial authority, the inviolability of human rights, the transparency of government action, and the sanctity of constitutional accountability itself – ever presented in our lifetimes. The president’s and his associates’ actions, and threats of action, profoundly undermine the bedrock principle of our federal government system – that the Chief Executive and his agents are constrained by the United States Constitution. The fundamental guardrails of our constitutional democracy itself are threatened and notably battered. They are, as we write, at risk of complete collapse.
The California State University system has partnered with OpenAI to launch the largest deployment of AI in higher education to date.
The CSU system, which serves nearly 500,000 students across 23 campuses, has announced plans to integrate ChatGPT Edu, an education-focused version of OpenAI’s chatbot, into its curriculum and operations. The rollout, which includes tens of thousands of faculty and staff, represents the most significant AI deployment within a single educational institution globally.
We’re still in the early stages of AI adoption in education, and it is critical that the entire ecosystem—education systems, technologists, educators, and governments—work together to ensure that all students globally have access to AI and develop the skills to use it responsibly
Leah Belsky, VP and general manager of education at OpenAI.
As you read through these use cases, you’ll notice that each one addresses multiple tasks from our list above.
1. Researching a topic for a lesson
2. Creating Tasks For Practice
3. Creating Sample Answers
4. Generating Ideas
5. Designing Lesson Plans
6. Creating Tests
7. Using AI in Virtual Classrooms
8. Creating Images
9. Creating worksheets
10. Correcting and Feedback
What if students had the power to design their own learning journeys?
Across the U.S., states are moving beyond one-size-fits-all education and embracing unbundled learning, creating personalized pathways that equip students with the skills they need for the future. Getting Smart’s Unbundled Learning Podcast Series explores how Colorado, Arizona, and New Hampshire are leading the way—expanding real-world learning, shifting to competency-based models, empowering learner agency, and aligning education with workforce needs.
For policymakers, the newly released Policymaker’s Guide offers a roadmap for fostering unbundled systems. It highlights key priorities such as competency-driven accountability, flexible credentialing, and funding models that prioritize equity, helping state leaders create policies that expand opportunities for all learners.
Explore how unbundled learning is shaping the future of education and how states can build more personalized, future-ready systems.
New Pathways > Unbundled Learning — from gettingsmart.com We used to think that learning had to happen in a school building. Spoiler alert…that was never true.
How might we create an ecosystem where learning doesn’t just happen at school? With Unbundled Learning, learners don’t need permission to have equitable experiences. Unbundled Learning removes all the barriers and allows learning to happen at school, after school, with industry partners and anywhere a learner can imagine. Unbundled Learning is the foundation for which new learning models are built, learners are supported and systems are scaled.
If we used to think that school was the only answer, now we know we have options. .
Bellebuono’s story isn’t unique. A recent study from the Federal Reserve Bank of New York reported the widest unemployment gap between new graduates and experienced degree holders since the 1990s.
The struggle to find work
The unemployment gap is partly due to the increase in competition and changing employer expectations, said David Deming, professor of public policy at the Harvard Kennedy School.
…
Skill requirements for entry-level roles are higher today than a decade ago, he said. But the change has been gradual from year to year.
How do investigative journalists organize years of research, thousands of documents, and piles of notes? With toolkits like that of Madison Hopkins, whose Pulitzer Prize-winning reporting has exposed Chicago’s fatal fire safety failures and flawed surveillance programs.
Read on for Madison’s tools for managing long-term investigative projects — from her note-taking system to her workflow for tracking public records. Whether you’re a journalist or manage other kinds of projects, you’ll find multiple resources for your own work. – Jeremy
Introducing deep research — from openai.com An agent that uses reasoning to synthesize large amounts of online information and complete multi-step research tasks for you. Available to Pro users today, Plus and Team next.
[On 2/2/25 we launched] deep research in ChatGPT, a new agentic capability that conducts multi-step research on the internet for complex tasks. It accomplishes in tens of minutes what would take a human many hours.
Deep research is OpenAI’s next agent that can do work for you independently—you give it a prompt, and ChatGPT will find, analyze, and synthesize hundreds of online sources to create a comprehensive report at the level of a research analyst.
Comments/information per The Rundown AI: The Rundown: OpenAI just launchedDeep Research, a new ChatGPT feature that conducts extensive web research on complex topics and delivers detailed reports with citations in under 30 minutes.
The details:
The system uses a specialized version of o3 to analyze text, images, and PDFs across multiple sources, producing comprehensive research summaries.
Initial access is limited to Pro subscribers ($200/mo) with 100 queries/month, but if safety metrics remain stable, it will expand to Plus and Team users within weeks.
Research tasks take between 5-30 minutes to complete, with users receiving a list of clarifying questions to start and notifications when results are ready.
Deep Research achieved a 26.6% on Humanity’s Last Exam, significantly outperforming other AI models like Gemini Thinking (6.2%) and GPT-4o (3.3%).
Why it matters: ChatGPT excels at quick, instant answers, but Deep Research represents the first major consumer attempt at tackling complex tasks that take humans days. Combined with the release of Operator, the landscape is shifting towards longer thinking with autonomous actions — and better results to show for it.
The quality of citations are also genuinely advance. Unlike traditional AI-generated sources prone to hallucinations, Deep Research provides legitimate academic references. Clicking a citation often takes users directly to the relevant highlighted text.
In a demo, the agent generated a comprehensive report on iOS and Android app market trends, showcasing its ability to tackle intricate subjects with accuracy.
Which links to and discusses Andrej Karpathy’s video at:
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This is a general audience deep dive into the Large Language Model (LLM) AI technology that powers ChatGPT and related products. It is covers the full training stack of how the models are developed, along with mental models of how to think about their “psychology”, and how to get the best use them in practical applications. I have one “Intro to LLMs” video already from ~year ago, but that is just a re-recording of a random talk, so I wanted to loop around and do a lot more comprehensive version.
16 For I am not ashamed of the gospel, because it is the power of God that brings salvation to everyone who believes: first to the Jew, then to the Gentile.
4 For the word of the Lord is right and true; he is faithful in all he does. 5 The Lord loves righteousness and justice; the earth is full of his unfailing love.
When technologist Luis von Ahn was building the popular language-learning platform Duolingo, he faced a big problem: Could an app designed to teach you something ever compete with addictive platforms like Instagram and TikTok? He explains how Duolingo harnesses the psychological techniques of social media and mobile games to get you excited to learn — all while spreading access to education across the world. .
1. A Focus On Client Experience And Technology-Driven Client Services
2. Evolution Of Pricing Models In Legal Services
3. Cloud Computing, Remote Work, Globalization And Cross-Border Legal Services
4. Legal Analytics And Data-Driven Decision Making
5. Automation Of Routine Legal Tasks
6. Integration Of Artificial Intelligence
7. AI In Mergers And Acquisitions
8. Cybersecurity And Data Privacy
This guide explores the top legal tech jobs in demand, key skills for success, hiring trends, and future predictionsfor the legal industry. Whether you’re a lawyer, law student, IT professional, or business leader, this article will help you navigate the shifting terrain of legal tech careers.
… Top Legal Tech Hiring Trends for 2025
1. Law Firms Are Prioritizing Tech Skills
Over 65% of law firms are hiring legal tech experts over traditional attorneys.
AI implementation, automation, and analytics skills are now must-haves. 2. In-House Legal Teams Are Expanding Legal Tech Roles
77% of corporate legal teams say tech expertise is now mandatory.
More companies are investing in contract automation and legal AI tools. 3. Law Schools Are Adding Legal Tech Courses
Institutions like Harvard and Stanford now offer AI and legal tech curriculums.
Graduates with legal tech skills gain a competitive advantage.
Contract reviews and negotiations are the bread-and-butter work of many corporate lawyers, but artificial intelligence (AI) promises to transform every aspect of the legal profession. Legaltech start-up Ivo, which is today announcing a $16 million Series A funding round, wants to make manual contract work a thing of the past.
“We help in-house legal teams to red-line and negotiate contract agreements more quickly and easily,” explains Min-Kyu Jung, CEO and co-founder of Ivo. “It’s a challenge that couldn’t be solved well by AI until relatively recently, but the evolution of generative AI has made it possible.”
Thanks for dropping by my Learning Ecosystems blog!
My name is Daniel Christian and this blog seeks to cover the teaching and learning environments within the K-12 (including homeschooling, learning pods/micro-schools), collegiate, and corporate training spaces -- whether those environments be face-to-face, blended, hyflex, or 100% online.
Just as the organizations that we work for have their own learning ecosystems, each of us has our own learning ecosystem. We need to be very intentional about enhancing those learning ecosystems -- as we all need to be lifelong learners in order to remain marketable and employed. It's no longer about running sprints (i.e., getting a 4-year degree or going to a vocational school and then calling it quits), but rather, we are all running marathons now (i.e., we are into lifelong learning these days).
