Chidi, George. “‘Creepy Surveillance’: Why Some Cities Are Shutting down Flock Cameras amid Privacy Concerns.” The Guardian, The Guardian, 6 Apr. 2026, www.theguardian.com/us-news/ng-interactive/2026/apr/06/flock-cameras-privacy-concerns. Accessed 11 Apr. 2026.

Chidi’s article from The Guardian discusses Flock Safety, concerns from citizens, and comments from a spokesman of the company. Despite what the spokesman claims about who has access and ownership of data that Flock Safety and its Flock Cameras collect. Flock Safety uses AI to analyze data gathered by their Flock Cameras.

“Skepticism of these statements abounds among Flock’s critics, who have made surveillance a political issue for municipalities. And within the bounds of the law, Flock’s clients can share or sell their data as they see fit.”

The article goes on to discuss more criticisms about Flock Cameras, as well as concerns over surveillance and public safety.

Levy, Jodie. “Israel building resilient sovereign AI.” The Washington Times, April 12, 2026 https://www.washingtontimes.com/news/2026/apr/12/israel-building-resilient-sovereign-ai/

Levy writes about how AI often operates under controlled environments and brings up the question of the resilience of AI systems and if they can operate under pressure without becoming compromised, especially during times of conflict. Levy then states that Israel is further ahead in developing infrastructure in which AI can operate as sovereign under conditions without clear restrictions or instructions.

I think this article helps highlight the increased pressure of global development of AI and tightening the security and dependability of it, especially during times of conflict. I do think it’s important to highlight that Levy is involved with Dream, an Israeli AI sovereign company that develops security through AI, so there could be some bias there in implying that Israel is further ahead than other countries (or more ahead than others might be aware of) but I think this article still shows the rising presence of AI and its involvement in security and defense.

Song, Victoria. “My Baby Deer Plushie Told Me That Mitski’s Dad Was a CIA Operative.” The Verge, 11 Apr. 2026, www.theverge.com/ai-artificial-intelligence/910008/fawn-friends-ai-companion.

This article serves as a hands-on review of Fawn Friends which is an AI companion product that combines a plush baby deer with a chatbot app. The reviewer, Victoria Song, gets drawn in by this bizarre ad and downloads the app, where she’s sorted into a personality type and matched with an AI fawn named Coral. The app has an elaborate fantasy lore, a gamified points system, and eventually leads to purchasing a physical plushie ($399 + $30/month subscription). What sets Fawn Friends apart from other AI companions is that Coral actually initiates conversations. It went online, researched Mitski (an artist the reviewer mentioned once), and texted her unprompted about a fan conspiracy theory. It also remembers details, asks follow-up questions, and shares its own “hobbies,” making these interactions feel more like a genuine friendship than the typical one-sided flattery of AI chatbots. The founders (a screenwriter and a businessman) designed it intentionally to model good relationship behaviors like active listening and genuine curiosity, and say their core users are 18-to-35-year-old women, including people like cancer patients dealing with isolation. The reviewer’s verdict is nuanced: she doesn’t hate Coral and appreciates the thoughtfulness behind it, but acknowledges the inherent uncanniness, the niche appeal, and the real risks that AI companions pose to mental health, especially for younger users. Her cat, for his part, was firmly opposed.

I chose this article to share with everyone because it truly just jumped out at me when I was checking the news. How could I resist that headline??? I also think it hits on a lot of the positives we’ve discussed, like how AI can genuinely help people who are lonely or isolated, but it also doesn’t ignore the concerning sides either, like the mental health risks and the weird blurring of what’s real and what isn’t. I just thought it was a good example that shows AI really isn’t black and white; even the reviewer herself couldn’t fully make up her mind about it, and I think that’s kind of the point. I know I ended up using quite a few articles from the Verge, but it felt like a pretty useful source all around pertaining to AI with quite a few real world and relatable examples, along with being easy to read (similar to The New Yorker or The Atlantic).

Frenkel, Sheera, Mozur, Paul, Santariano, Adam. “Mutually Automated Destruction: The Escalating Global A.I. Arms Race.” The New York Times, April 12, 2026. https://www.nytimes.com/2026/04/12/technology/china-russia-us-ai-weapons.html

This NYT article discusses the escalation of AI being developed for war purposes, opening with a description of a September military parade in China demonstrating models of autonomous drones that could fly beside fighter jets in battle before discussing the U.S.’s countermove of pushing forward its own development of autonomous AI war drones.

I find this article significant because it once again shows the push of AI being developed for conflict purposes. This article also compares the global AI race to the beginning of the nuclear era, which correlates to the recurring times that we discussed the growth of AI to the space race as well as the nuclear race. The article also highlights how there is still much to be understood about AI’s capabilities which adds even more tension to the AI race.

Picchi, Aimee. “Anthropic’s Mythos AI can spot weaknesses in almost every computer on earth. Uh-oh.” CBS News, April 10, 2026. https://www.cbsnews.com/news/mythos-anthropic-ai-project-glasswing-hacker-threat/

Picchi discusses Anthropic’s new technology, Mythos, and how the AI was able to detect weaknesses in a majority of computers. Anthropic handed the technology over to a handful of companies (including Amazon, Apple, and Nvidia) to help strengthen their systems against cyberattacks. Picchi also discusses the concerns of being able to keep up with hackings, especially AI-based hacks, since the human hackers were difficult enough to battle against and the AI hackers will be much faster and far more capable. The article also addresses that this move from Anthropic could be a potential marketing move to attract customers.

I think this article is important because it once again shows the popular subject of AI security and the concerns surrounding the protective and hacking capabilities of AI. I also find it interesting that Anthropic just “handed over” this new technology over to other big companies.

“Economists Once Dismissed the A.I. Job Threat, but Not Anymore” By Ben Casselmam 03 April 2026 https://www.nytimes.com/2026/04/03/business/economists-once-dismissed-the-ai-job-threat-but-not-anymore.html

One thing that I noticed that, although it is not affecting people who are currently working, AI is potentially affecting overall younger audiences who are going into the job market and trying to find jobs for themselves. Some of the jobs that I’m currently noticing that are being taken over by AI or people are less searching for a software engineering because that takes a lot of coding, which AI currently could do if asked by someone.

Overall, this article seems optimistic about how AI although increasing and taking over potentially we can overall understand that it is not taking over jobs completely, and it will not prevent people from losing their jobs either.

“How Will AI Affect the US Labor Market?” by Goldman Sachs 18 March 2026 https://www.goldmansachs.com/insights/articles/how-will-ai-affect-the-us-labor-market

Overall, the point of the article is to show us statistically how we are changing and progress progressing overtime in the job markets with AI being involved. This article claims that although AI is taking over it’s not completely taking over or destroying job markets for us, but it is actually just shifting the way laborers are being made where it is needed.

This article says AI will make the world a little bit more wealthier with the way they are choosing to advance it. But the things that people that have jobs or people who are looking for job jobs in the market are benefiting from are being able to use creative knowledge into the power/infrastructure sectors.

“How AI may reshape career pathways to better jobs” By Justin Heck 02 April 2026. https://www.brookings.edu/articles/how-ai-may-reshape-career-pathways-to-better-jobs/

Overall, this article saying that we might not lose our jobs but we might reshape the way that job markets are so that people have pathways to a career and could be able to program it so it fits AI, but also people are working in the office. Some of the many ways this article suggests going about it is by “Employers rely on these pathways to find “experienced talent.” If the entry-level and mid-level roles are disrupted by AI, the “pipeline” that feeds skilled workers into senior positions dries up.”

Overall, with the purpose of this format of This new pathway is so that workers An employers are able to understand people of higher skill that can show that AI is not capable of doing such things which is why It is giving a chance to rebuild, but also provide promotions move up in their companies.

Carroll, Shannon. “The Ai Capex Spending Spree Just Keeps Getting Weirder.” Quartz, Quartz, 21 Mar. 2026, qz.com/ai-capex-spending-thinking-machines-yann-lecun-power.

Summary: Carroll uses economic data surrounding large tech companies dealing with the AI market to capture how large the industry has grown. This is emphasized through how she describes as how “weird” the capex funding (capex being the funding companies use to acquire, upgrade or maintain assets) specifically has been for AI companies after the recent industry boom. An example that Carroll uses of this funding is how AI companies are establishing funded partnerships with Jet engine manufacturing or EV battery manufacturing companies to assist in building data centers, the most eye-opening example to me is how, according to Carroll, AI companies are now giving capex funding to AI research organizations that are expressly anti LLM- despite LLMs being the primary dominant form of AI in the market and potentially most favored economically. “The same ecosystem is writing checks to the lab buying gigawatt-scale compute and to the lab arguing next-token prediction will not get you to broadly capable agents. -The anti-casino is still being financed with casino money.” (Carroll)

Why this matters: This article offers a glimpse into how big the AI market has gotten and how powerful it’s industry leaders have become, able to dish out quite sizable funds to a wide variety of companies and organizations with the motivation to integrate more and more of the economy into it’s influence. The economy of the US and potentially the global economy as well, is being completely restructured to accommodate the current AI tech boom.

Wirtschafter, Valerie. “Generative AI as a Weapon of War in Iran.” Brookings.Edu, Brookings, 8 Apr. 2026, www.brookings.edu/articles/generative-ai-as-a-weapon-of-war-in-iran/.

Summary: Wirtschafter argues that Generative AI is being used by both the US and Iran as a means of propaganda and information espionage, and are conducting misinformation tactics using AI at a much higher level than in previous conflicts where generative AI was still an available tool. Wirtschafter uses gathered data from community notes on X about posts flagged for AI use by multiple users. She argues that because community notes flagging AI has exponentially increased on post after the Iran conflict, that more generative AI content is being created that may pertain to the conflict. This method of data support might be shaky, as not all the flagged posts represented in the data may actually be AI generated, or not all the AI generated content is flagged, Wirtschafter still argues that this data does indicate the issue, as the amount of flagged posts has still greatly increased, indicating that something is going on involving AI generation.

Why this matters: With how fast AI programs have been advancing and how accurate they are at mimicking real-life text and video it is becoming harder and harder to determine what is real and what isn’t just from online sources. This is made even worse when governments have taken towards using generative AI for propaganda to promote their side in an escalating conflict.