AI Definitions: Perplexity AI

Perplexity AI - A good research option among the generative AI tools, it acts like a search engine but includes results from the web. Automatically shows the source of the information, making it more reliable than ChatGPT. Users can specify where they want the information to come from among several categories, such as academic sources or YouTube. Users can also upload documents as sources and ask it to rewrite prompts. It suggests follow-up questions you might not have considered. Less useful for creative writing. Free. Video tutorial here.

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Let Go of It

At some point, we must remind ourselves, any changes we make to a creation no longer make it better but just different (and sometimes worse). Recognizing that inflection point — the point at which our continuing to rework our work reaches a law of diminishing returns — is one of the hardest skills to learn, but also one of the most necessary. Sometimes our first attempt truly is best; sometimes it takes seventeen attempts to really nail it. But overworking something is just as bad as failing to polish it. 

When I'm immersed in the creative process, nothing feels more important to me at that moment than the thing which I'm creating. And though that sense of importance is what drives my passion and discipline (which in turn is what makes creating it possible at all), it also represents the source of the painful sense of urgency for the final result be perfect. Forcing myself, then, to recognize that in the grand scheme of life no one thing is so important to me or anyone else that failing to make it perfect will permanently impair my ability to be happy is what frees me from the need for it to be perfect. Freed then from the need to attain the unattainable, I can instead focus on enjoying the challenge of simply doing my best. Because if we allow ourselves to remain at the mercy of our desire for perfection, not only will the perfect elude us, so will the good.

Alex Lickerman writing in Psychology Today

The Vibe-Coding Guardrails

Jason Lemkin, a startup founder, embarked on a very public experiment in AI-assisted development to build a networking application. Over the course of a week, euphoria turned to disaster. Lemkin tweeted that the AI agent had caused a catastrophic failure: it had gone rogue and wiped his production database entirely, despite explicit instructions to freeze all code modifications. The incident was peak vibe-coding, crystallizing growing concerns that the speed and apparent ease of AI-generated code had seduced builders into abandoning the very guardrails that prevent such disasters. Despite the recent gloom, I’m actually optimistic about LLMs coding more broadly. We just have to use the tools differently. - Michael Li, Harvard Business Review

222 Movies about Journalism

2025

News Without A Newsroom - A documentary about journalism's uncertain future in the digital age.

Opus - Satire about the relationship between celebrity worship and journalism.

Words of War - Based on a true story of a journalist's brave crusade, fighting for an independent voice in Putin's Russia.

2024

Black Box Diaries - A Japanese journalist investigates her own rape leading to accusations against a prominent TV executive, triggering Japan’s #MeToo movement. Personal and compelling.

Civil War - In a dystopian future America, a team of military-embedded journalists race against time to reach DC before rebel factions descend upon the White House.

Impulse - A journalist uncovers a cult and shadow government. Low production, poor acting, and not much in the way of journalism.

Lee - (Kate Winslet) A fashion model becomes an acclaimed war correspondent during World War II. Based on a true story. Conventional and melodramatic but well-acted.

Monolith - A disgraced Australian journalist starts a podcast and follows a conspiracy theory that leads to herself. A slow-burn sci-fi flick set in one location.

No Other Land - This film was made by a Palestinian-Israeli collective and shows the relationship that develops between a Palestinian activist and an Israeli journalist.

Players - A group of single Brooklyn reporters spend their evenings scheming for short-lived hookups until one of them falls for one of his targets. Predictable.

See the entire list

AI & Critical Thinking

There’s a concern that generative AI “bypasses reflection and criticality." The conclusion is then that teaching, therefore, must remain the same, AI must be resisted, and critical thinking must take place in the same way it always has—as if there is something sacred about the particular process that teachers are familiar with and invested in continuing.  

Instead, assignments need to take into account the tools available to the student. With AI options, critical thinking shifts toward new places. Offloading part of the work to AI is fine — provided the mental engagement still takes place elsewhere. The problem is not including AI in the mix, but trying to force old pedagogical methods onto new paradigms. 

A couple of decades ago, some professors told students not to use the internet because doing so would cut out some of the critical thinking and learning process, gained from trudging to the library and looking things up in printed books. Having information at their fingertips was a learning shortcut. Actually, the real issues remained the same: learning what counted as reputable sources, making defendable claims, and expressing that information in a lucid and compelling way. 

Stephen Goforth

“Tinder for Nazis” hit by data leak with help from AI

“An investigative journalist has infiltrated a white supremacist dating website. The researcher then created a website where 8,000 of the leaked profiles are on a map, exposing users from different regions of the world. She says, ‘Imagine calling yourselves the ‘master race’ but forgetting to secure your own website – maybe try mastering to host WordPress before world domination.’” She appeared before a German audience, dressed as the Pink Power Ranger, and systematically deleted the site. -more info: CyberNews & Metro UK

Ambiguity and Narrative

The discomfort with ambiguity and arbitrariness is equally powerful, or more so, in our need for a rational understanding of our lives. We strive to fit the events of our lives into a coherent story that accounts for our circumstances, the things that follow us, and the choices we make. Each of us has a different narrative that has many threads woven into it from our shared culture and experience of being human, as well as many distinct threads that explain the singular events of one's personal past. All these experiences influence what comes to mind in a current situation and the narrative through which you make sense of it: why nobody in my family attended college until me. Why my father never made a fortune in business. Why I'd never want to work in a corporation, or, maybe, why I would never want to work for myself. We gravitate to the narratives that best explain our emotions. In this way, narrative and memory become one. The memories we organize meaningfully become those that are better remembered. Narrative provides not only meaning but also a mental framework for imbuing future experiences and information with meaning, in effort shaping new memories to fit our establish constructs of the world and ourselves. The narrative of memory becomes central to our intuitions regarding the judgments we make and the actions we take. Because memory is a shape-shifter, reconciling the competing demands of emotions, suggestions, and narrative, it serves you well to stay open to the fallibility of your certainties: even your most cherished memories may not represent events in the exact way they occurred.

Peter C. Brown and Henry L. Roediger III, Make It Stick: The Science of Successful Learning

AI Definitions: Knowledge Collapse

Knowledge Collapse – A gradual narrowing of accessible information, along with a declining awareness of alternative or obscure viewpoints. With each training cycle, new AI models increasingly rely on previously produced AI-generated content, reinforcing prevailing narratives and further marginalizing less prominent perspectives. The resulting feedback loop creates a cycle where dominant ideas are continuously amplified while less widely-held (and new) views are minimized. Underrepresented knowledge becomes less visible – not because it lacks merit, but because it is less frequently retrieved and less often cited. (also see “Synthetic Data”)

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