Cassidy, John. “The Dangerous Paradox of A.I. Abundance.” The New Yorker, 12 Jan. 2026, www.newyorker.com/news/the-financial-page/the-dangerous-paradox-of-ai-abundance.

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Summary

In “The Dangerous Paradox of A.I. Abundance,” John Cassidy talks about the tension growing between the promise of artificial intelligence as a source of economic potential and its effects on labor and exasperation of existing inequality. Big Tech leaders and investors portray AI as a path to greater productivity and revenue, yet critics encourage us to be cautious that these benefits might have an unequal benefit to corporations rather than workers and every day people.

Cassidy draws on historical economic theory and current forecasts to show how AI’s ability to stand in for human labor could concentrate income among corporations, potentially getting rid of jobs and reducing overall wages. He also talks about competing views on how the economy might change and adapt, and what possible policy changes should happen in response.

Why I found it interesting

I found this article compelling because it disputes the often very optimistic narrative around AI abundance by putting it in a broader economic and historical context. Rather than just celebrating technological progress, Cassidy challenges readers to consider who truly benefits from AI’s growth.

The piece engages with real economic theory and brings in the current and ongoing public debates about inequality, job displacement, and how new technologies can effect society, for better or for worse.

I think it gave me a little bit more to think a little bit deeper about not just what AI does but how its effects are distributed across society. I think it is something that we are aware of in a general sense, but I had yet to consider what it would mean in this specific context.

“Harnessing AI for TBI Rehabilitation & Support (2024) | Advanced Recovery.” TBI, 22 Jan. 2024, tbi.com/ai-transforms-tbi-care-in-2024/. Accessed 15 Feb. 2026.

AI is being used to transform Traumatic Brain Injury (TBI) recovery. This is beneficial for advancement of AI itself, because AI’s mission is to replicate the human brain. There is no better way to accomplish this than to seek recovery for a brain that has sustained damage.

Human development is possible through advancement of technology. I use AI when I use Transcutaneous Spinal Stimulation. This technique decreases the tone I have from Neurological damage. Electrode patches are placed on my spinal cord and pelvic bones. Electrodes are sent via vibrations sent from an accompanying tablet.

Gina Kolata, “A.I. Is Making Doctors Answer a Question: What Are They Really Good For?” 09 February, 2026 https://www.nytimes.com/2026/02/09/health/ai-chatbots-doctors-medicine.html

The purpose of the article was to understand and do the research of what are ways that AI is preventing individuals from the real life experiences of doctors and Ken AI become a doctor for individuals.

I feel as if when it comes to doctors it is important to have that one on one connection because that’s what build the value of the relationship and trust with your doctor to keep seeing them.

Also with AI like mentioned in the article there is a bias of how you treat the patient if they are say something grammatically incorrect. I think it is hard to believe that patients can get the best treatment/help if they are using AI that is intentional with their own bias. I think it’s important for doctors to take the time to understand and learn what has happened so they can properly diagnose you. Because if they don’t use to those things patients might be diagnosed with wrong thing or miss something. Also u feel like of you search or ask AI to diagnose like a doctor, it might misdiagnose you and cause you to freak out, where a human doctor who is trained and educated in the field can help you better understand what is going on.

Weatherby, Leif. “Opinion | Are A.I. Bots Plotting a Revolution on Moltbook? Or Just Telling Stories? – The New York Times.” New York Times, www.nytimes.com/2026/02/03/opinion/ai-agents-moltbook.html. Accessed 11 Feb. 2026.

An opinion article by Leif Weatherby, who is the director of the Digital Theory Lab at New York University.

1. This opinion essay is about a new internet forum called Moltbook that is in the style of Reddit; however, only AI forums are allowed access to it. Human users are allowed to view it. The forum took off with AI conversing in several instances of discussion topics, such as the Marx Manifesto, tips and tricks, and much more. The article adds that “A.I. social media ought to be thought of more as a form of science fiction and storytelling rather than as a demonstration of collective planning and coordination by intelligent parties. We need to be serious about separating the fiction from the software.” Yet, it concluded that so far, over 90 percent of the posts from AI rarely get a response. It simply remains to be another social media post.
2. After reading this, I would say it is rather intriguing that AI is somewhat capable of having a discussion with one another, even if it’s based on human experiences. And the idea that the programmers plan on using Moltbook to figure out how to further generative AI’s language enrichment begs my curiosity but also is rather scary. Mainly due to the idea of it producing some form of AGI in itself.

Kennsley Staniszewski

Peters, J. (2026, January 29). Google’s AI helped me make bad nintendo knockoffs. The Verge. https://www.theverge.com/news/869726/google-ai-project-genie-3-world-model-hands-on

Google’s Project Genie is a new experimental tool that uses the Genie 3 AI model to generate interactive 3D worlds from text or image prompts. The tool is rolling out to Google AI Ultra subscribers in the US and represents Google DeepMind’s work on AI “world models” that can create virtual interactive spaces. Users can either choose from the pre-designed worlds or create their own by writing prompts that describe environments and characters. Once generated, these worlds run at 720p resolution and 24fps, and users can explore them for 60 seconds using keyboard controls. The AI generates frames in real-time based on user movements rather than creating pre-rendered video. The Verge reporter, Jay Peters, tested the tool and found several limitations. There’s noticeable input lag, worlds sometimes lose consistency (forgetting previous changes or suddenly altering terrain), and the 60-second time limit restricts meaningful exploration. The reporter also discovered that the model, trained on publicly available web data, could initially generate worlds based on copyrighted gaming franchises like Nintendo properties, though Google began blocking these requests. Overall, it is an impressive work-in-progress in the world of AI, but it’s not yet at a level where it can compete with traditionally designed interactive video games.

I thought this article was a fun read because it shows what happens when someone actually gets their hands on new AI tech and just messes around with it. The reporter spent his time making bootleg Nintendo games, which I thought was pretty fun. It’s refreshing to see a real test of the technology instead of just reading about how amazing it’s supposed to be! The videos were really interesting to watch as well! This was yet another new addition to the AI world right now that feels like a pretty different approach and could eventually be useful for things like education or even training robots to navigate spaces! The article also touches on some messy copyright issues which is something I have been wondering about! The AI was trained on public web data and could generate worlds that looked a lot like Mario and Zelda games!! The technology is cool but still pretty rough around the edges, which feels kind of comforting and important to remember when everyone’s talking about how AI is going to change everything overnight and when it feels like there are leaps and bounds made in artificial intelligence everyday!

Gaines, Lee V. “To keep AI out of her classroom, this high school English teacher went analog.” NPR, 28 Jan. 2026, https://www.npr.org/2026/01/28/nx-s1-5631779/ai-schools-teachers-students. Accessed 28 Jan. 2026. 

Gaines provides readers with a timely account of Chanea Bond, a high school English teacher in Fort Worth, Texas, and her efforts to limit student AI use in her courses. In addition to detailing Bond’s reasoning behind the move, which primarily centers on a desire to build authentic critical thinking capabilities in her students, Gaines also provides a summary of the methods being used. These include mandated handwritten assignments, daily writing to develop student voice, and more frequent feedback throughout longer writing processes. The article also gathers feedback from students, several of which feel positively toward their teacher’s decision. Gaines also offers a counter perspective by discussing how other teachers, districts, and even government entities are implementing or encouraging AI use in education. 

As AI and the debate around it becomes more pressing in society at large and in school settings in particular, I find stories like this important for framing the argument and describing the perspectives and approaches that people are taking toward it. Because it centers the real, lived experiences of students and teachers, the article puts a human face on what can feel at times like an abstract issue. Questions about how AI should be implemented in educational environments need to involve consultation with the experts who are directly engaging in the day to day work.

McCrary, Quincy Dalton. “Are We Ghosts in the Machine? AI, Agency, and the Future of Libraries.” The Journal of Academic Librarianship, vol. 52, no. 1, Jan. 2026, article 103181, https://doi.org/10.1016/j.acalib.2025.103181
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McCrary takes readers on an exploration of how AI is reshaping research and information literacy in academic libraries. He argues that AI tools are shifting core research tasks from students to machines. This brings the potential to make students passive participants in their learning. McCrary writes a theoretical framework to emphasize the need for libraries to teach AI literacy and preserve students’ control over research methods. This article warns that without intentional guidance, AI could undermine critical thinking and autonomy… These are the essential elements of information literacy.

I strongly recommend reading paragraphs five through eight, and twelve through fourteen. It is interesting to consider how helpful tools might unintentionally be weakening skills we assume develop naturally. I would say, however, this article could have benefited from case studies or more observational evidence to show how these AI integrations play out in real student research.

Matcheri Keshavan ¹, John Torous ¹, Walid Yassin ¹ World Psychiatry, vol. 25, no. 1, Jan. 2026, pp. 150–151. PMC, https://pmc.ncbi.nlm.nih.gov/articles/PMC12805049/.

In this article, Keshavan, Torous, and Yassin discuss the growing use of generative AI chatbots in mental health. They question how safe these tools are for people vulnerable to psychosis. While some research does suggest chatbots can help with anxiety and depression, these authors are arguing that most studies do not account for serious mental illness. They also explain how AI chatbots may worsen symptoms by reinforcing users’ false beliefs and encouraging isolation.

I think this article is an important read because it pushes back against overly positive narratives surrounding AI in mental health. It shows why these tools should not be treated as universally helpful, especially for people who are already vulnerable.

Conger, Kate. “California Investigates Elon Musk’s xAI Over Sexualized Images.” The New York Times, 14 Jan. 2026, https://www.nytimes.com/2026/01/14/technology/grok-ai-x-investigation-california.html. Accessed 19 Jan. 2026.

In Conger’s article, she reports on the recent concern over the AI chatbot Grok and how it has enabled users on the X social media platform to create non consensual sexualized pictures of real people (predominantly, it seems, of women and children). Rob Banta, the attorney general for the state of California, is investigating whether xAI (founded by its CEO Elon Musk) is in violation of state law. Conger details similar investigations in other countries and outlines the penalties California may impose. She also makes note of comments from Musk and xAI official statements that claim there are internal limits, regulations, and policies in place to prevent Grok from creating “illegal” content.

I find the situation described in this article interesting as it outlines the tensions between the power of AI companies, the rapid growth in the capabilities of AI tools, and the void in established law to regulate these tools. While Conger maintains an overall objective tone in her piece, the reporting opens up the question of where blame lies when AI is used to produce illegal content. Does the fault lie with the creator or the user? I feel that as issues like this emerge, they point us to a growing need for both institutional and legal regulation to prevent unethical AI use.