Rise
/Rise above the drama.
ideas that challenge / comfort / inspire
9 Free Webinars this week about journalism, AI, media law, social media, & more
/Tue, Sept 5 -Covering Threats to Democracy with a Pro-Democracy and Solutions Lens
What: How journalists can cover voter suppression and efforts to undermine democracy through a pro-democracy and solutions lens.
Who: Natalia Contreras, elections reporter for Votebeat and The Texas Tribune; Ari Berman, author and reporter for Mother Jones; Osita Nwanevu, contributing editor at The New Republic and a columnist at The Guardian.
When: 1 pm, Eastern
Where: Zoom
Cost: Free
Sponsors: US Democracy Day, The National Press Foundation, The American Prospect, The Objective, and the Kiplinger Program in Public Affairs Journalism.
Wed, Sept 6 - Experimenting with AI in the Classroom
What: We explore the potential risks and rewards associated with using AI-assisted technology to help with teaching and learning in the classroom. Can AI actually increase the opportunities for creativity and imagination in our classrooms, for both teachers and learners?
Who: Dora Demszky, Assistant Professor in Education Data Science, Stanford Graduate School of Education; Houman Harouni, Lecturer on Education, Harvard Graduate School of Education; Lakshya Jain, a Senior at King Philip Regional High School in Wrentham, MA
When: 2 pm, Central
Where: Zoom
Cost: Free
Sponsor: Harvard Graduate School of Education
Wed, Sept 6 - Back to College with the SPLC legal team!
What: A Q&A-style meet and greet to walk you through the key legal issues and helpful resources you should know to start your year off right.
Who: The SPLC legal team
When: 7 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Student Press Law Center
Wed, Sept 6 - Get Social: How to Reach & Engage Donors on Social Media
What: Discover best practices, tips & tricks for utilizing social media as a powerful fundraising tool! In this workshop, we'll show you how to optimize a nonprofit's online presence & share easy-to-implement strategies for attracting & converting donors on social media, both through organic posting & paid advertising.
Who: Christine Vottima and Lexie Robles of Strat Labs
When: 11 am, Eastern
Where: Zoom
Cost: Free
Sponsor: The Nonprofit Learning Lab
Wed, Sept 6 - How Accessible Design Techniques Engage Your Entire Audience
What: This session looks at core accessibility requirements and how you can incorporate them into your presentations and other PowerPoint-based content. You’ll see what the various requirements are, and how applying them not only helps those with accessibility needs, but everyone else in your audience.
Who: Picture1 Stefan Brown Design Consultant, BrightCarbon; Richard Goring Director, BrightCarbon
When: 3 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Training Magazine Network
Thu, Sept 7 - Libraries in the Age of AI: a primer
What: Our speaker will cover the basics of AI, before turning to specific (and popular) services, exploring their possibilities and pitfalls when used in a library setting.
Who: Nick Tanzi is the Assistant Director of the South Huntington Public Library.
When: 1 pm, Mountain Time
Where: Zoom
Cost: Free
Sponsor: Libraries Learn
Thu, Sept 7 - Author and Journalist Jane Ferguson in Conversation with Deborah Amos
What: Jane Ferguson's recently released memoir, No Ordinary Assignment which takes readers on a journey through her childhood in Northern Ireland to her early days as a freelance correspondent for CNN International in the Middle East and Africa, often working alone to film and report her stories.
Who: Jane Ferguson, a PBS NewsHour correspondent, contributor to The New Yorker, and a multiple Pulitzer Center grantee; Deborah Amos who has spent most of her career at National Public Radio.
When: 1 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Pulitzer Center
Thu, Sept 7 - Writing about and with youth organizers ahead of the 2024 elections
What: This conversation will explain how newsrooms can build relationships with youth organizers as both vital sources and reporters ahead of the 2024 election cycle, unpacking how to cover youth politics and movements without patronizing and isolating those groups.
Who: Beatrice Forman is a reporter at The Philadelphia Inquirer; Dillon Bernard, Director of Communications of Future Coalition; Allegra Kirkland is the Politics Director at Teen Vogue; Lexi McMenamin is the news and politics editor at Teen Vogue; Mira Sydow is a senior at the University of Pennsylvania where she runs the Disorientation Guide
When: 2 pm, Central
Where: Zoom
Cost: Free
Sponsor: Center for Cooperative Media
Fri, Sept 8 - Leverage library resources for your research and reporting
What: Learn how journalists can tap public and academic libraries to find and use government documents, academic research, archives and other resources that are free via libraries, but not easily accessible on the open web. Whether it’s uncovering a new information source or helping to fact-check your work, librarians and libraries are a goldmine for accessing information – and much faster than you may think.
Who: April Hines, journalism and mass communications librarian for the George A. Smathers Libraries at the University of Florida.
When: 11:30 am
Where: Zoom
Cost: Free
Sponsor: The National Press Club
A new (easy-to-use) AI image generator
/
Ideogram is an excellent AI image generator that can also create text. While MidJourney produces higher quality images, this one is easier to use for beginners. It has a simple to use interface and is free.
Using Projects to Avoid Making Changes
/If you are having trouble getting motivated to finish a project, consider the possibility that finishing that report (or whatever your project involves) means facing a void. The project is a distraction so that you don't have to see the emptiness outside of it. You slow down the completion until another project emerges to play the role of another distraction. You’re putting off looking at uncomfortable truths about yourself
While in the midst of a deadline-driven project, you feel like you have a clear identity because your purpose is defined by the project's needs. But if the projects was removed from your life, would you have justification for thinking of yourself as someone of value? Is your worth bound in the projects?
So it is with serious relationships, where someone provides a sense of purpose, giving definition and a sense of worth.
If you were forced to sit down and write out the definition of who you are without the benefit of a title (manager, employee, project manager) or relationship (wife, girlfriend, mother) would you lack the means to define yourself?
A suggestion: Spend time doing things that allow you to center yourself. Give yourself downtime to listen. Whatever brings you to stillness will put you in a good position to allow the transition to take hold and internalize it so you don’t miss the opportunity to make a paradigm shift toward greater emotional and spiritual health. Allow yourself to just "be" and reconnect with the world around you (its sounds, smells, tastes, touches, and sights).
Stephen Goforth
The First Duty
/The first duty of love is to listen- Paul Tillich
Distraction
/You cannot fully unleash your genius in the three-minute increments you have between distractions. Unfortunately, for many of us distraction has become a habit — one that has been so often and routinely reinforced that it is extremely difficult to break. Persuasive technology — technology that uses sophisticated techniques from behavioral psychology to “persuade” us to keep engaging with it — exacerbates the problem. So, over time, as our habit gains strength, we go looking for distraction. When things get quiet, or a task gets boring or frustrating, we reach for our phones.
Maura Thomas writing in the Harvard Business Review
24 August articles about Data Science, AI, & Space
/The top geospatial intelligence brands in the world
China’s Constant Spying On Australian Drills From Space A Sign Of Shifting Orbital Balance
What is a liquid neural network, really?
7 ChatGPT Prompts To be a Better Data Scientist
What are LLMs bad at? Reference lists
GenAI Is Making Data Science More Accessible
5 Things You Need to Know When Building LLM Applications
What a hijacked satellite could do
Finding: “The larger the satellite the more vulnerable it was” to hacking
Four types of learning in machine learning explained
Stability AI known for its text-to-image generation model called Stable Diffusion has now released a
code generator called StableCode
IBM and NASA open source an AI model for geospatial data analysis
AI startup Sweetspot is a search engine using LLMs to look for specific U.S. government contracts
How can Data Scientists use ChatGPT for developing Machine Learning Models?
“Five mistakes I made while switching to data science career”
Scientists have trained a machine learning model in outer space
Conduits
/Find people who are conduits through which you can better understand yourself and your experiences ... as you play the same role for them. - Stephen Goforth
The Most Important Basic Generative AI Terms to Know
/Algorithms – Direct, specific instructions for computers created by a human through coding that tells the computer how to perform a task.
The code follows the algorithmic logic of “if”, “then”, and “else.” An example of an algorithm would be:
IF the customer orders size 13 shoes,
THEN display the message ‘Sold out, Sasquatch!’;
ELSE ask for a color preference.
Besides rule-based algorithms, there are machine-learning algorithms used to create AI. In this case, the data and goal is given to the algorithm, which works out for itself how to reach the goal.
There is a popular perception that algorithms provide a more objective, more complete view of reality, but they often will simply reinforce existing inequities, reflecting the bias of creators and the materials used to train them.
Artificial Intelligence (AI) – Basically, AI means “making machines intelligent”, so they can make some decisions on their own without the need for any human interference.
The phrase was coined in a research proposal written in 1956. The current excitement about the field was kick-started in 2012 by an online contest called the ImageNet Challenge, in which the goal was getting computers to recognize and label images automatically.
Big Data – This is data that’s too big to fit on a single server.
Typically, it is unstructured and fast-moving. In contrast, small data fits on a single server, is already in structured form (rows and columns), and changes relatively infrequently. If you are working in Excel, you are doing small data. Two NASA researchers (Michael Cox and David Ellsworth) first wrote in a 1997 paper that when there’s too much information to fit into memory or local hard disks, “We call this the problem of big data.”
Generative AI – Artificial intelligence that can produce content (text, images, audio, video, etc.) such as ChatGPT.
It operates similarly to the “type ahead” feature on smartphones that makes next-word suggestions. Gen AI is based on the particular content it was trained on (exposed to).
GPT – The “GPT” in ChatGPT stands for Generative Pre-Trained Transformer.
Hallucinations – when an LLM provides responses that are inaccurate responses or not based on facts.
Hallucination – the AI saying things that sound plausible and authoritative but simply aren’t so.
Large Language Models (LLMs) – AI trained on billions of language uses, images and other data. It can predict the next word or pixel in a pattern based on the user’s request. ChatGPT and Google Bard are LLMs.
The kinds of text LLMs can parse out:
Grammar and language structure.
How a word is used in language (noun, verb, etc.).
Word meaning and context (ex: The word green may mean a color when it is closely related to a word like “paint,” “art,” or “grass.”
Proper names (Microsoft, Bill Clinton, Shakira, Cincinnati).
Emotions (indications of frustration, infatuation, positive or negative feelings, or types of humor).
Machine learning (ML) – AI that spots patterns and improves on its own.
An example would be algorithms recommending ads for users, which become more tailored the longer it observes the users‘ habits (someone’s clicks, likes, time spent, etc.).
Data scientists use ML to make predictions by combining ML with other disciplines (like big data analytics and cloud computing) to solve real-world problems. However, while this process can uncover correlations between data, it doesn’t reveal causation. It is also important to note that the results provide probabilities, not absolutes.
Neural Network – In this type of machine learning computers learn a task by analyzing training examples. It is modeled loosely on the human brain—the interwoven tangle of neurons that process data in humans and find complex associations.
Neural networks were first proposed in 1944 by two University of Chicago researchers (Warren McCullough and Walter Pitts) who moved to MIT in 1952 as founding members of what’s sometimes referred to as the first cognitive science department. Neural nets were a major area of research in both neuroscience and computer science until 1969. The technique then enjoyed a resurgence in the 1980s, fell into disfavor in the first decade of the new century, and has returned like gangbusters in the second, fueled largely by the increased processing power of graphics chips.
Open Source AI – When the source code of an AI is available to the public, it can be used, modified, and improved by anyone. Closed AI means access to the code is tightly controlled by the company that produced it.
The closed model gives users greater certainty as to what they are getting, but open source allows for more innovation. Open-source AI would include Stable Diffusion, Hugging Face, and Llama (created by Meta). Closed Source AI would include ChatGPT and Google’s Bard.
Prompts – Instructions for an AI. It is the main way to steer the AI in a particular direction, indicate intent, and offer context. It can be time-consuming if the task is complex.
Prompt Engineer – An advanced user of AI models, a prompt engineer doesn’t possess special technical skills but is able to give clear instructions so the AI returns results that most closely match expectations.
This skill can be compared to a psychologist who is working with a client who needs help expressing what they know.
Red Teaming – Testing an AI by trying to force it to act in unintended or undesirable ways, thus uncovering potential harms.
The term comes from a military practice of taking on the role of an attacker to devise strategies.
While some of these definitions are a bit of an oversimplification, they will point the beginner in the right direction. -Stephen Goforth
Should Students Choose Higher-Paying Majors?
/Pushing students from science into the humanities tended to decrease their later-life wages — that’s finding is not surprising. But the converse also appeared to be true: Pushing students from the humanities into science also tended to, if anything, decrease their wages. While there are certain very high-paying majors (like engineering, economics, and computer science) that increase students’ earning potential even if they would prefer to study something else, helping students to study their most-preferred major generally seems to provide long-run financial benefits even in the humanities.
Students should know that when it comes to choosing a college degree, small differences in average-wage-by-major statistics shouldn’t be taken too seriously. Especially when the average wage differences between majors are not very big, students should put their own strengths first and not let the statistics cloud their understanding of their own interests.
Zachary Bleemer writing in the The Chronicle of Higher Ed
11 Quotes Worth Reading about AI in the Newsroom from Recent Articles
/The Associated Press today released guidance on how it uses generative artificial intelligence tools like ChatGPT and will update its AP Stylebook to reflect a new era for newsrooms. While AP staff may experiment with ChatGPT with caution, they do not use it to create publishable content,” according to the standards. “Any output from a generative AI tool should be treated as unvetted source material.” Poynter
How Will Artificial Intelligence Change the News Business? Here are three theories of the case. NY Mag
A multitude of leading newsrooms have recently injected code into their websites that blocks OpenAI’s web crawler, GPTBot, from scanning their platforms for content. The deep archives and intellectual property rights of these news organizations are immensely valuable — arguably crucial — to training A.I. models such as ChatGPT in efforts to provide users with accurate information. Meanwhile, the Associated Press went a different route, hammering out its own licensing deal with the A.I. developer, though it notably did not share key terms of the agreement. CNN
Wired magazine has a page dedicated to explaining how its journalists use AI tools (to suggest headlines or potential cuts to shorten a story, the policy states) and how they don’t (no AI-generated images instead of stock photos, according to the policy). Wired makes it clear to readers that these policies may change as the technology does. Poynter
Ultimately, AI is a prism. Information goes into it and the bot can refract a spectrum of stories and simulated perspectives, but it may also distort those views, missing the nuances and human elements that give local news its heart and soul. Understanding and staying abreast of these technological developments is crucial, but so is maintaining a healthy skepticism. Joe Amditis on Medium
Lede AI (was developed) to help newsrooms cover sports games they would have otherwise missed. Lede AI draws from a national database of sports results submitted by fans to generate short articles that are automatically published after a game ends. the AI-written summaries sometimes missed “factual nuances” in stories, and the AI-generated text could be “corny” and repetitive. Poynter
OpenAI, the parent company to ChatGPT, will fund a new journalism ethics initiative at New York University's Arthur L. Carter Journalism Institute with a $395,000 grant. Axios
Several news organizations, writers and photographers groups are pushing to be involved in creating standards for the use of artificial intelligence, particularly as it concerns intellectual property rights and the potential spread of misinformation. Associated Press
The 'Irish Times' mistakenly publishes fake article written by AI. The person behind the deception, whose identity remains unknown, had used an artificial intelligence (AI) program to create the text and images of the writer. Le Monde
A new, completely AI-driven website called the LocalLens wants to be a kind of metal detector for local news — claiming to surface stories that might otherwise remain buried. Joe Amditis writing on Medium
The New York Times has decided not to join a group of media companies attempting to jointly negotiate with the major tech companies over use of their content to power artificial intelligence. Semafor
Allowing for Transitions
/It's easy to believe you are in a different place in life than you really are-- it's hard to know when you have passed through a transition. You only know it when you are on the other side of it, and are able to glance back and say, "Look at that! Look what I just went through!"
The in-between time is what William Bridges calls the "neutral zone." During this period, you will be in the process of "destroying what used to be." You will be "dismantling" while undertaking “some new building."
Bridges is most helpful in pointing out that life's changes are driven by the desire to reach a goal, while life's transitions:
"Start with letting go of what no longer fits or is adequate to the life stage you are in... although it might be true that you emerge from a time of transition with the clear sense that it is time for you to end a relationship or leave a job, that simply represents the change that your transition has prepared you to make. The transition itself begins with letting go of something that you have believed or assumed, some way you've always been or seen yourself, some outlook on the world or attitude toward others."
It's an internal move of greater significance than any external move.
Stephen Goforth
Generative AI Prompt Suggestions
/Approach
You aren’t supposed to just ask a question of an AI and walk away once an answer is devised and presented like a Google search. The better use is to carry on a conversation with the AI app.
To Get more Accurate Answers
· Include examples of what you want it to do.
· Tell the AI to ask you questions so it can give you a robust answer. This will give you some things to think about related to what you are trying to create. “Before you start, ask me any questions that you need answered to help me best solve my problem.”
· “Provide sources for new information (or a specific piece of information)”
· “Give me a list of the fundamental facts on which your response relied.”
· "Base your answer on these following facts…”
· Tell it to "think step-by-step," so it'll break down its solution into bite-size chunks. Including an example of this process is even better.
· If you see a repeated factual error in the response, tell it to “rewrite the answer with the following changes in mind."
· Tell the AI to be curt in its responses and you’ll get a more to-the-point response.
· Tell the AI to be elaborate in its responses and you’ll get longer amplifications.
· Disagree with the AI as to its stated responses and prod the AI into defending things.
· Make a pretend type of scenario that you want the AI to contextually include.
Gathering Information
Ask it to research a specific topic and list the most important or basic information.
Illustration
“Give me a story to illustrate x”
Summaries
“Summarize the documents/press releases/ etc. below.”
“Summarize this article in a punchy paragraph”
“Format this information into bullet points”
“Define/expand/explain/translate”/order chronologically/turn into listicle/make into an explainer”
Story Type
“Rewrite as an informative news story focused on fact”
“Rewrite as an human interest feature”
Feedback
Provide feedback on writing—what’s missing, editing for style, etc.
“Rewrite/edit/format”
“Provide an overall critique of your style on a specific document.”
“Rewrite/shorten/expand the second paragraph”
“Add quotes from the CEO” or other official.
Prompt for an itemized list of suggested changes, so that you can make your own judgments. Don't simply accept the A.I. output.
Writing Style
“Start with an anecdotal lead/quote/example/data/statistics”
“Write with a journalistic/academic/casual/formal style”
“Write in the style of (a particular writer)”
“Format numbers/dates/citations/headlines/capitalizations/etc in this way…”
Length
“This article should be 500 words long, divided into at least 6 paragraphs”
“Sentences of no less/more than x words”
Study Feedback
“When I am correct, tell me how my response could have been better and when I’m wrong help guide me to the correct answer and give me a clever way to remember it.”
Journalism
Write a headline for this article
Suggest SEO for the following article
Brainstorm for news article ideas based on a press release or quote.
Images
Reverse engineer real images to find new prompts.
Ask the AI to help you develop better prompts.
Image Formula
Image content (cat, dog) + style (photo, painting, illustration, film stills) + framing (point-of-view, background) + lighting (soft light, dramatic lighting, sunset) + color + level of realism & detail
Example 1: "Person with strong determined attitude, forest fire background, close-up shot, purple and green color scheme, dark lighting, realistic."
Example 2: “A child playing on a sunny happy beach, their laughter as they build a simple sandcastle, emulate Nikon D6 high shutter speed action shot, soft yellow lighting.”
Battling Tradition in a Organization
/Without understanding that a tradition is an outdated way to fulfill a good intent, you will just ignore or fight it. But, armed with that understanding, you can argue with tradition — debating what needs to stay and what has to change — precisely in order to keep the organization’s intent alive.
Gianpiero Petriglieri writing in the Harvard Business Review
A Dozen AI-based Creation Tools
/Adoble Firely
Adobe’s AI-driven multimedia production tool. Still in beta. Will do AI video editing, 3D modeling, text-to-image, photo editing and more.
MidJourney
Probably the most popular AI image generator, it uses machine learning to create pictures based on text. You’ll find a good prompt book here.
Perplexity AI
Acts like a search engine but includes results from the web (unlike ChatGPT). Automatically generates citations of sources and suggests follow-up prompts. Free.
Quizlet
Create study tools like flash cards and quizzes or make use of those created by others. Useful for rote learning. Easy to use but limited functionality. It will link to Google Classroom, but not connect to academic LMS (learning management systems like Blackboard). The company added Q-Chat in 2023. This AI feature tailors material to each user’s needs. The app adjusts the difficulty of the questions according to how well students know the material they’re studying and how they prefer to learn. Free version for most features. $1.99 to make it ad free. $19.99 for more options.
Stable Diffusion
Generates visual creations through AI. Since it is open-sourced, anyone can view the code. Fewer restrictions on how it can be used than DALL-E.
Bard AI
Google’s conversational AI based on LamDA (Language Model for Dialogue Applications). Google has unveiled PaLM 2 to replace Bard’s dependance on LamDA. While it seems more accurate than ChatGPT, it lacks attribution and links to background articles. For access, visit Google Bard's page and sign into your personal Gmail account.
ChatGPT
This OpenAI chatbot remembers what you've written or said, so the interaction has a dynamic conversational feel. Give the software a prompt and it creates articles. GPT-4 can use both images and text as inputs, process up to 25K words (versus 4K with GPT-3). It can write and explain code. Doesn’t do sourcing and limited to info from before 2022. Free or $20 a month for ChatGPT Plus for faster responses and access to new features such as a “code interpreter” that can write and execute python code, and can work with file uploads. For developers, there’s the OpenAI playground. for experimentation.
ChatSonic
Created by WriteSonic built on top of the same technology that powers ChatGPT. Can assume personas such as a philosopher or stand-up comic. Create up to 100 AI-generated images each month for free. Connected to the internet, so it can provide real-time, up-to-date answers, which ChatGPT cannot do. Free.
Claude
This AI is from Anthropic, a startup co-founded by ex-OpenAI execs with funding from Google. Like ChatGPT it can act on text or uploaded files and hasi been trained on huge amounts of infomation. Useful for summarizing long transcripts, clarifying complex writings, and generating lists of ideas and questions. Can analyze up to 75K words at a time. Not good with math and doesn’t deal with images. Free.
Cody
This AI allows users to create (without coding) a chatbot that can answer questions limited to a specific knowledge base to reduce the likelihood of incorrect information. Free up to 100 interactions. Paid accounts start at $29 a month.
DALL-E
OpenAI’s tool that turns written text into realistic images using AI. Named after painter Salvador Dali and Disney Pixar’s WALL-E. A limited number of images are free.
Jasper AI
AI story writing tool for fiction and nonfiction. Pick a tone of voice for style. Pre-built templates available. A more business-focused AI that is particularly helpful for advertising and marketing. Remembers past queries, However, no sources are provided and limited to pre-2022 information. Short free trial. $29 month.
Stress and Performance
/Jeremy Jamieson at Harvard had some students who were prepping for the graduate admissions test read a statement telling them not to worry that feeling anxious will make them do poorly, because research suggests that stress doesn’t hurt performance on tests and can actually help. The students who read the statement scored about 50 points higher on the math section of the practice test than those who didn’t. Plus the students who had been told to interpret the stress positively also did better on the actual GRE, scoring 65 points higher. So in the stressful situations, you want to focus on being excited and challenged rather than worrying that your stress means it’s not going well.
Ashley Merryman quoted in Wired Magazine
11 articles about AI & legal issues
/Philosophical Theory May Help Solve AI Inventorship Question – Law 360
2 Creative IP Attorneys On The Complications Of AI-Generated Art – Above the Law
The copyright battles against OpenAI have begun - Quartz
AI learned from their work. Now they want compensation – Washington Post
How ChatGPT Could Embed a ‘Watermark’ in the Text It Generates - The New York Times
UChicago scientists develop new tool to protect artists from AI mimicry – Univ. Chicago
Can an AI Own a Copyright? – Illusion of More
Can A.I. Invent? – New York Times
Thousands of authors sign letter urging AI makers to stop stealing books - TechCrunch
Stop Rushing To Copyright As A Tool To ‘Solve’ The Problems Of AI – Above the Law
OpenAI is facing lawsuits over copyrighted materials it uses to train ChatGPT – NPR
Overinvolved Parents
/Madeline Levine, psychologist and author of The Price of Privilege, says that there are three ways we might be overparenting and unwittingly causing psychological harm:
When we do for our kids what they can already do for themselves;
When we do for our kids what they can almost do for themselves; and
When our parenting behavior is motivated by our own egos.
Levine said that when we parent this way we deprive our kids of the opportunity to be creative, to problem solve, to develop coping skills, to build resilience, to figure out what makes them happy, to figure out who they are. In short, it deprives them of the chance to be, well, human. Although we overinvolve ourselves to protect our kids and it may in fact lead to short-term gains, our behavior actually delivers the rather soul-crushing news: Kid, you can’t actually do any of this without me.
Julie Lythcott-Haims, How to Raise an Adult
12 AI Prompt Tools and Articles
/Generative AI will redefine what we mean by expertise. The skills that will be most in demand will be the ability to: Know what questions to ask. - Inside Higher Ed
Chat GPT prompt tip - Rachel Woods on TikTok
Mom, Dad, I Want To Be A Prompt Engineer - Forbes
What does an AI prompt engineer actually do? - Semafor
Tech’s hottest new job: AI whisperer. No coding required. – Washington Post
4 prompts to get your chatbot to fact-check itself and not make things up – Business Insider
4 Tips For Lawyers To Master The Art Of Productive AI Conversations – Above the Law
How to write effective AI art prompts - Zapier
Awesome ChatGPT Prompts - GitHub
PromptHero - tools for helping coax just the right output from AI image generators
Beginner’s prompt handbook: ChatGPT for local news publishers - Joe Amditis
This is more important than IQ when it comes to success
/Some students aim at performance goals, while others strive toward learning goals. In the first case, you're working to validate your ability. In the second, you're working to acquire new knowledge or skills. People with performance goals unconsciously limit their potential. If your focus is on validating or showing off your ability, you pick challenges you're confident you can meet. You want to look smart, so you do the same stunt over and over again. But if your goal is to increase your ability, you pick ever-increasing challenges, and you interpret setbacks as useful information helps you to sharpen your focus, get more creative and work hard.
More than IQ, it's discipline, grit, and a growth mindset that imbue a person with a sense of possibility and the creativity and persistence needed for higher learning and success. Study skills and learning skills are inert until they're powered by an active ingredient the active ingredient is the simple but nonetheless profound realization the power to increase your abilities lies largely within your own control.
Peter C. Brown and Henry L. Roediger III, Make It Stick: The Science of Successful Learning