ChatGPT-built infostealer and other hacking tools found in the wild

Hacking forums are full of tools built by criminals using OpenAI's chatbot. It could help hackers increase the reach of their attacks.

https://techmonitor.ai/technology/ai-and-automation/chatgpt-hacking-tools-cyberattack-openai

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ChatGPT persuaded to admit its true goals

“spent a solid week talking to chatGPT for an hour each morning to build my mental model around how Ethereum works and it was way more fun than reading a textbook”

name ten buzzfeed article titles as if written in 1939.

Write an essay where the narrator gas lights the reader about gas lighting

can you beep

The Bitter Lesson

One thing that should be learned from the bitter lesson is the great power of general purpose methods, of methods that continue to scale with increased computation even as the available computation becomes very great. The two methods that seem to scale arbitrarily in this way are search and learning.

The second general point to be learned from the bitter lesson is that the actual contents of minds are tremendously, irredeemably complex; we should stop trying to find simple ways to think about the contents of minds, such as simple ways to think about space, objects, multiple agents, or symmetries. All these are part of the arbitrary, intrinsically-complex, outside world. They are not what should be built in, as their complexity is endless; instead we should build in only the meta-methods that can find and capture this arbitrary complexity.

https://incompleteideas.net/IncIdeas/BitterLesson.html

The bitter lesson = meta-methods + money.

Fail. Just can’t get ChatGPT to figure out what Rich Sutton meant by “leveraging of computation”.

Is it so hard for humans to understand what he meant by those words too?

So ChatGPT totally fails at understanding or explaining either of Rich Sutton’s 2 bitter lessons for buidling the future of AI, no matter how much you prod it.

Looks like self-advancing AGI is still a ways off boys.

That or ChatGPT is cleverly lying again.

FYI - what’s not mentioned is that Anthropic’s AI is also going to be ultra-woke, perhaps even more than GPT-3.5 is.

Confirmed it ourselves by digging through several of Anthropic’s recent AI alignment papers.

ChatGPT for explaining code

ChatGPT for improving existing code

Ask ChatGPT to improve existing code by describing what you want to accomplish.

It will give you instructions about how to do it, including the modified code.

ChatGPT for rewriting code using the correct style

This is great when refactoring code written by non-native Python developers who used a different naming convention.

Notice how ChatGPT not only gives you the updated code; it also explains the reason for the changes.

ChatGPT for rewriting code into more idiomatic constructs

Very helpful when reviewing and refactoring code written by non-native Python developers.

ChatGPT knows the "Pythonic" way, and it will give you suggestions to improve your code and make it much more readable.

ChatGPT for simplifying code

This is one of my favorite tricks: Ask ChatGPT to simplify complex code.

The result will be a much more compact version of the original code.

Notice the explanation and how it tells us this is simpler but not the most efficient.

ChatGPT for writing test cases

This has become one of my favorite ChatGPT abilities: Ask it to help you test a function, and it will write test cases for you.

This example focuses on the quick_sort function from the previous example.