Focus AI #103
#MaliciousAI #Karpathy #Tesla #Shrimp
Focus AI, the latest AI news in 3 minutes
Edition #103 - November 11th 2022
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This week:
🚗 Andrej Karpathy: Tesla AI, Self-Driving, Optimus, Aliens, and AGI
👺 Malicious Uses and Abuses of Artificial Intelligence
🦐 Dirty shrimp farms are punching a huge hole in the environment. A.I. could cut it in half
👮♀️ How colleges use AI to monitor student protests
And about code:
[Tuto 💹] Coding for economists
[Tuto 📺] How to Support A/B Testing in Your Python Code
[Repo 📚] Mundipy - a Python framework for spatial data manipulation
== News ==
🚗 Andrej Karpathy: Tesla AI, Self-Driving, Optimus, Aliens, and AGI | Lex Fridman Podcast #333
In this podcast, Lex Fridman talks with Andrej Karpathy.
Andrej Karpathy is a legendary AI researcher, engineer, and educator. He's the former director of AI at Tesla, a founding member of OpenAI, and an educator at Stanford.
👺 Malicious Uses and Abuses of Artificial Intelligence
Trend Micro, the United Nations Interregional Crime and Justice Research Institute (UNICRI), and Europol raise awareness on the importance of better understanding how AI and ML can be used and be misused by criminals. Aside from looking into the different malicious scenarios using AI and ML at present and possibly in the future, their research also looks into the possible countermeasures and recommendations to mitigate AI- and ML-powered risks, threats, and attacks.
One of the more popular and visible malicious uses of AI is deepfake technology, which involves the use of AI techniques to craft or manipulate audio and visual content for the purpose of making such content appear authentic.
AI can be abused to thwart CAPTCHA security systems, which are commonly used on websites to hinder malicious activity. XEvil 4.0, a tool that uses neural networks to solve CAPTCHAs, is advertised on Russian underground forums and can be rented out to users.
🦐 Dirty shrimp farms are punching a huge hole in the environment. A.I. could cut it in half
Farming shrimp in an open pond produces toxic effluent that can pollute groundwater and coastal waters. An AI-driven farm in a box may offer a more sustainable alternative.
Based in Mexico City, Atarraya modifies shipping containers into AI-controlled tanks for raising commercial shrimp, Fortune reported. The company plans to install 20 units in a warehouse in Indianapolis.
The company’s Shrimpbox contains two large water tanks equipped with sensors that track pH, nutrients, chemicals, and temperature. Machine learning models automatically dispense food and adjust conditions as needed.
👮♀️ How colleges use AI to monitor student protests
An investigation by The Dallas Morning News and UC Berkeley Graduate School of Journalism found that schools in the USA used Social Sentinel, which monitors social media posts to identify individuals who intend to harm themselves or others, to keep tabs on protestors from 2015 to 2019 and possibly beyond.
The system, which was renamed Navigate360 Detect in 2020, uses an “evolving AI language engine” to analyze public communications. Users can query social media posts to Facebook, Instagram, Reddit, Twitter, and YouTube, although searches are limited to eight topics and 25 subtopics related to safety and security. The reporters studied documents acquired through leaks and requests to the government along with interviews with school employees.
School officials didn’t respond to the reporters’ requests for comment and declined to discuss policies that govern their use of such software.
== Code & Tools ==
Let’s dive in into more technical news.
[Tuto 💹] Coding for economists
In this tuto, we’ll look at some of the most common plots that you might want to make–and how to create them using the most popular data visualisations libraries, including matplotlib, plotnine, seaborn, altair, and plotly.
[Tuto 📺] How to Support A/B Testing in Your Python Code
In this video, ArjanCodes takes a close look at A/B testing and feature flags. A/B tests are a great way to establish what your end user likes. If you just make those decisions based on what you think will work, you’re basically flying blind because you don’t know what the customer actually prefers.
[Repo 📚] Mundipy - a Python framework for spatial data manipulation
mundipy is a Python framework for spatial data manipulation. Built on top of geopandas, GDAL, and shapely, mundi.py provides a useful abstraction to eliminate the hassles of spatial data. Features:
Spatial caching
Automatically projection management
Layer management
Automatic spatial indexing for lookups
Automatic spatial joins
#MaliciousAI #Karpathy #Tesla #Shrimp
A big thanks to our sources: https://jack-clark.net/, https://www.actuia.com/, https://thevariable.com/news/, https://techcrunch.com/, https://read.deeplearning.ai/the-batch/
What about you? Have you noticed something else?
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Have a good week-end,
Maxime 🙃 from Toulouse, France with 🌺