I'm imagining a sci-fi world that incorporates several fully-realized AI implementations while preparing this week's #PapersThatMakeYouGoHmmm list.

Several are potential #WritingPrompt(s) for #screenwriters.

There is so much potential to build a better world. #BuildBackBetter
This one, for example, brings to mind a doctor searching a Google-like engine based on caption similarity. The results include a summary of patient outcomes, pro and con.

This one a #BostonLegal-like episode with William Shatner finding a loophole in an AI's legal argument.

This one a political dictator using AI to silence dissenters.

This one a toy with reinforcement learning designed to elicit specific emotional cues from babies/children.

This one automatically filtering children into predefined roles.

This one a religious sect using AI to detect and punish "errors" among its followers.

This one to predict unanticipated consequences of new laws, making Congress more efficient.

This one local municipalities better predicting problem areas and either proactively planning for them or condemning them as unfit to live (or housing unwanted people in these areas).

This one a world with more frequent use of #ASL to reduce noise pollution. Perhaps a militant Buddhist municipality mandates it?

Reviewing ML weekly brings my imagination to life. Hopefully a few #screenwriting guilds will agree and it will lead to more diverse ideas being represented in different cultures.

#StarTrek or #TheExpanse could even expand to include more artificial lifeforms.

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More from @stephenwithavee

26 Dec
Time for #PapersThatMakeYouGoHmmm! A weekly summary of new ML papers from arXiv that make me think one or more of:

1. That looks useful!
2. That's an interesting approach!
3. A business could be built around this!
4. How did they do that?!
Leveraging GPT-2 for Classifying Spam Reviews with Limited Labeled Data via Adversarial Training

sciencewise.info/bookmarks/2012…
Adaptive Summaries: A Personalized Concept-based Summarization Approach by Learning from Users' Feedback

sciencewise.info/bookmarks/2012…
Read 154 tweets
28 Nov
Time for #PapersThatMakeYouGoHmmm! A weekly summary of new ML papers from arXiv that make me think one or more of:

1. That looks useful!
2. That's an interesting approach!
3. A business could be built around this!
4. How did they do that?!
Analyzing the Machine Learning Conference Review Process

sciencewise.info/bookmarks/2011…
torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation

sciencewise.info/bookmarks/2011…
Read 177 tweets

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