f002q4b | Dartmouth Folklore Archive

General Information:

Informant Data:

Once a universal microblogging, Twitter has evolved into a social networking platform in the past 14 years. Today twitter has become the most popular medium for celebrities and politicians to communicate with the public. Still, the founder, Jack Dorsey, and twitter at large advocate for censorship, safety, and nonviolence. Twitter seldom becomes boring due to constantly generated memes.

Contextual Data:

Cultural Context: As the environment evolves, innovative strategies and ideas emerge. For each new device, there is one faster and more effective imagined in the future but a slower version in the past as well This comes with a prize—especially on the environment. The faster and more efficient devices under deep learning emit increasingly toxic gas than simple model cars created a long time ago.
Social Context: This specific item contains three different eras of AI. Each era is representative of the field’s progress and challenges. A device from a past era could still get the job done, agreeably. It is just that the new guy emerging from within Deep Learning is much faster and more suitable for the new era.

Item:

Transliteration:

Your novel research idea. Some guy in the 1980s. Republishing the idea, but with Deep Learning.

Context(free translation):

Any kind of novel research ideas in AI is exciting. Under zero competition, one can often feel they have thrived. It is easy to compare especially with previous work like that from years ago. Sadly, some guy out there will come up with an idea, whether totally different, almost similar, you name it. Given new emerging technology, ideas from a long time ago can be revisited and used to develop totally cool and new complex models. AI does not still well with old and boring. And that seems to be the message of this item.

Collector’s name: Tracy Mutoni, Russian Lit 013, Dartmouth College. (faithfully translated to my best of skill)

Tags/Keywords:

General Information

Informant Data

Formerly a microblogging platform, Twitter has evolved into a social media network since being founded in 2006 by Jack Dorsey. The platform attracts everyone—regardless of their age, gender, race, religion, class, ideology, or educational background—to share or vent via tweets no matter how mundane they are.

Contextual data

Cultural context: Artificial Intelligence (AI) is that distant fantasy you’ve probably heard pro-AI guys speak about; that machines are so smart they can take over the world. Training models are constantly averaged with human brains. It is true that supervised training allows models to learn complex relationships and patterns required to process routine tasks, faces, words like human brains do. However, this still requires massive computing power, hard-coded rules, and updated algorithms literally every second new data emerges up.
Social context: This specific item challenges the credibility of pro-AI claims. One time OpenMind, AI text generation, used huge data that it took all Reddit. Unlike models, humans can learn from very limited data give that we must come with a built-in structure; that’s why there is, agreeably, machine intelligence still has a long way to go towards human intelligence.

Item:

Transliteration:

A given model overfits on training data. But when new data is observed in the world. The model is unqualified.

Free translation:

This item symbolizes an extraordinary challenge for AI. Contrary to humans, machines cannot independently observe and take in new information and update their network accordingly. Therefore, one can be assured that a robot-governed world is nowhere near us.

Context:

This piece is a good mockery and a joke and might elicit comebacks from pro-AI guys.

Collector’s information: Tracy Mutoni, Russian Lit 013, Dartmouth College.

Tags/Keywords:

#AImemes, #AImemeforconvultionalteens, #overfitting #undefitting #trainingdata #models #machinelearning

Dartmouth Folklore Archive