Editor’s Note: I asked Bard to summarize the similarities between the tv show Survivor and chess. Here’s the response…
There are several similarities between the TV show Survivor and chess. Both games are strategic and require players to think ahead and plan their moves. Both games also involve a degree of luck, as players must sometimes make decisions based on incomplete information. Finally, both games can be very competitive, as players strive to outwit and outplay their opponents.
Here are some specific similarities between Survivor and chess:
Both games are strategic. In Survivor, players must make decisions about how to allocate their resources, who to align with, and when to make big moves. In chess, players must develop a plan of attack and defend their pieces from their opponent’s attack.
Both games require players to think ahead and plan their moves. In Survivor, players must think about how their decisions will affect the game in the future. In chess, players must think about how their moves will affect the game in the next few moves.
Both games involve a degree of luck. In Survivor, players must sometimes make decisions based on incomplete information. For example, players may not know who has an idol or who is planning to vote for them. In chess, players may not know what their opponent’s next move will be.
Both games can be very competitive. In Survivor, players strive to outwit and outplay their opponents. In chess, players strive to checkmate their opponent’s king.
Despite these similarities, there are also some important differences between Survivor and chess. For example, Survivor is a game of social dynamics, while chess is a game of strategy and tactics. Additionally, Survivor is a game of endurance, while chess is a game of mental focus.
The search giant is testing generative writing and other AI features for its Workspace apps.
By Nina Raemont, March 14, 2023 8:12 a.m. PT
Google plans to bring new AI-powered tools to its suite of Workspace apps. In a blog post on Tuesday, the search giant said it’s starting by testing generative AI writing features in Gmail and Docs that can help people get started on the writing process.
“Simply type a topic you’d like to write about, and a draft will instantly be generated for you,” reads Google’s post. “With your collaborative AI partner you can continue to refine and edit, getting more suggestions as needed.”
The tool, Google suggests, can be used to help create things like customized job descriptions or invitations for a kid’s birthday party. The company is also exploring ways to incorporate AI tools into Slides, Sheets, Meet and Chat.
Parsing through the deluge of inundating information hoisted up by algorithmic systems built to maximize engagement has trained us as slavering Pavlovian dogs to rely on snap judgements and gut feelings in our decision-making and opinion formation rather than deliberation and introspection.
Which is fine when you’re deciding between Italian and Indian for dinner or are waffling on a new paint color for the hallway, but not when we’re out here basing existential life choices on friggin’ vibes.
In his latest book, I, HUMAN: AI, Automation, and the Quest to Reclaim What Makes Us Unique, professor of business psychology and Chief Innovation Officer at ManpowerGroup, Tomas Chamorro-Premuzic explores the myriad ways that AI systems now govern our daily lives and interactions.
From finding love to finding gainful employment to finding out the score of yesterday’s game, AI has streamlined the information gathering process. But, as Chamorro-Premuzic argues in the excerpt below, that information revolution is actively changing our behavior, and not always for the better.
You can ask Google, Alexa, Cortana, Watson, or Siri—but will you be able to ask your local library? A century or so ago, electricity was a new, quasi-magical thing—a novelty with few applications. Back then, nobody could have predicted that it would give rise to telephones, production lines, and microchips. And yet, electricity transformed every industry, including agriculture, healthcare, transportation, and manufacturing. As a foundational springboard for so many new innovations, that novelty was the most important engineering achievement of the 20th century.
Today, our interactions with AI are mostly novel (“Siri, why did the chicken cross the road?”)—and the results crude—but so were the first lightbulbs and photographs.
By: Jonathan McMichael, Undergraduate Success Librarian
AI writing can mimic style, but it cannot mimic substance yet. The release of a powerful, free and easy-to-use large language model platform, Open AI’s ChatGPT, raises interesting questions about the future of writing in higher education.
As the Undergraduate Success Librarian, I have a unique perspective on generative AI, like ChatGPT, that I want to share along with some advice for instructors and students on adapting to AI’s presence in higher education.
What is ChatGPT?
How does it work? ChatGPT is an interface that allows you to interact with artificial intelligence through text inputs and responses. The AI on the other side of the interface is a language model called GPT-3. It produces human-like text by parsing and analyzing the massive corpus of text information (large language) it has been trained on to predict what is likely to come next in a string of words. This makes GPT-3 a type of Generative AI because it uses machine learning to generate new content based on a given set of input data. So, when you give ChatGPT a prompt like “describe losing your sock in the dryer in the style of the declaration of independence” it (in simplified terms) identifies relevant data within its large language dataset, notices patterns within that dataset and then generates a set of text that seems most like the things it identified.*
AI art generators have exploded in the last couple of years. Known for their uncanny, and sometimes terrifying results, they’re increasingly drawing the attention of artists and non-artists alike for inspiration and to create explorative work.
Now the team behind one such platform – Artbreeder – has a new experiment: Artbreeder-Collages. And while the results are often bizarre, it’s totally addictive.
The original Artbreeder tool allows you to “edit the genes” of either your own images or those already uploaded to the site, or to “cross-breed” images together. The new Artbreeder-Collages, on the other hand, is a generative tool.
Currently in beta, it allows you to create images from scratch using, yes, a collage approach – with a little help from text prompts. Read on to learn more, or if you prefer to continue working in the traditional way, see our guide to the best graphic design software.
You must be logged in to post a comment.