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How will we know when AI gains consciousness?

How will we know when AI gains consciousness?

exurb1a hypothesizes some of the very real horrors that current social media bots are capable of doing. Pro-tip – get the HECK off social media and stop trusting anything you read there because this stuff has already happening on every social media, dating, review, and news feed app since even before the 2016 election.

Perhaps the AI personas will become so realistic and comforting to us that we’ll stop interacting with each other – and spend our lives conversing and in relationships with non-entities.

If weaponized AI or becoming unable to form real relationships and being in a relationship with a computer is not scary enough, he asks what if AI itself becomes conscious. Right now, we have no way to ensure alignment of AI to any values.

When the AI becomes able to mimic humans so well that it can convince anyone of anything – even talking to it becomes infinitely dangerous. We could have just created an almost infinitely hyper-intelligent demon, trickster, and sociopath.

See how deep the rabbit hole goes – and the majority of the possible outcomes are not good.

Early AI was more like a therapist

Early AI was more like a therapist

ELIZA was an early ‘AI’ created by MIT scientist Joseph Weizenbaum between 1964 to 1967.

He created it to explore communication between humans and machines. ELIZA simulated conversation by using very simple pattern matching and substitution that gave users an illusion of understanding – but it had no representation that could be considered really understanding what was being said by either party. Something you can easily discover by playing with it for a few minutes.

Fast forward to 1991, and Creative Labs was having amazing success with their SoundBlaster add-on sound cards. On the driver disks that came with the SoundBlaster, there were programs showing off different capabilities. One of these capabilities was voice generation. To show off the ability to voice synthesize text, Creative Labs included a little program called Dr. Sbaitso (SoundBlaster Acting Intelligent Text-to-Speech Operator).

You interacted with it like a pseudo-therapist; but you can clearly see the connections and similar pattern/substitution methods that Eliza used. I remember being wowed by it when I played with it for the first time – and experimented for hours with it. It quickly shows its limitations, but the speech synthesis was very good for the time.

It doesn’t hold the test of time, but it is pretty neat and you can even check it out here:

https://classicreload.com/dr-sbaitso.html#

Introduction to Generative AI

Introduction to Generative AI

AI’s can be applied to a number of different classes of problems. Recognizing and predicting are some of these tasks. But when it comes to generating something, you’re probably using a GAN.

This is a video from about 3 years ago when GANS were really getting started. If you’re trying to get your feet wet, this is a great, brief introduction to the history of AI systems like GANs (generative adversarial networks). Or, check out some of these other networks.

Links to referenced material:

AI Prompts for Parts photographs

AI Prompts for Parts photographs

AI trends pop up just about every week. The latest is knolling photos. Knolling photos are pictures of arranged objects so they are in parallel or 90-degree angles. The images create an organized and clean portrayal of many related things. They often look like exploded parts lists.

Tokenized AI by Christian Heidorn walks you through how to craft prompts to generate what you’re looking for. It’s a great example of how a prompt engineer sorts through creating what they want.

A prompt for every occasion

A prompt for every occasion

Learning how to make good ChatGPT prompts is a bit of an art as much as science. It’s not about learning a fixed prompts; it’s about mastering the art of well-structured, clear, and specific prompts that cater to your unique needs and interests.

This article has a bunch of great examples that can help you craft your own prompts:

  1. Act as a philosopher, and explain me “what’s the meaning of life?”
  2. ChatGPT, what’s the most efficient way to organize my research data?
  3. Please help me create a workout plan that incorporates yoga and weightlifting.”
  4. ChatGPT, what are the latest trends in quantum physics, and can you explain them in layman’s
  5. ChatGPT, can you enlighten me on the impact of AI in fostering interdisciplinary collaboration?
  6. ChatGPT, can you explain how the principle of supply and demand affects pricing in a competitive market?
  7. ChatGPT, can you compare and contrast the economic policies of John Maynard Keynes and Milton Friedman, with a focus on their views on government intervention?

Personal Development

  1. “ChatGPT, can you suggest some strategies to improve my time management skills?”
  2. “Please provide tips on how to effectively communicate my ideas during a presentation.”
  3. “What are some methods for coping with stress and anxiety during exams?”
  4. “How can I build healthy habits to enhance my productivity and overall well-being?”

Education and Learning

  1. “ChatGPT, can you provide a concise summary of Plato’s ‘Allegory of the Cave’?”
  2. “Please explain the concept of ‘cultural relativism’ and its implications in anthropology.”
  3. “What are some effective techniques for learning a new language?”
  4. “How can I apply the principles of critical thinking to evaluate information and make informed decisions?”

Science and Technology

  1. “ChatGPT, can you explain the basic principles of machine learning and its applications?”
  2. “Please provide an overview of the key events in the history of space exploration.”
  3. “What are some of the most promising renewable energy technologies available today?”
  4. “How does genetic engineering work, and what are its potential benefits and drawbacks?”

Arts and Literature

  1. “ChatGPT, can you analyze the main themes of William Shakespeare’s ‘Hamlet’?”
  2. “Please give me an overview of the Romantic period in literature and its key figures.”
  3. “What are the characteristics of Impressionist art, and how did this movement influence subsequent artistic styles?”
  4. “How does the concept of the ‘hero’s journey’ apply to contemporary storytelling in movies and literature?”

Current Events and Society

  1. “ChatGPT, can you discuss the implications of recent advancements in artificial intelligence on the job market?”
  2. “Please provide a brief analysis of the ongoing efforts to combat climate change at a global level.”
  3. “What are some of the key factors influencing the rise of populism in contemporary politics?”
  4. “How does social media impact our perception of reality and our relationships with one another?”
Realtime Polymorphic Viruses powered by AI

Realtime Polymorphic Viruses powered by AI

Researchers from HYAS Labs demonstrated a proof-of-concept, artificial intelligence (AI)-driven cyberattack that changes its code on the fly and can slip past the latest automated security-detection technology. Called BlackMamba, it exploits a large language model (LLM) to create a “truly polymorphic” attack in that every time it executes, it resynthesizes its keylogging capability.

AI-powered attacks like this will become more common now as threat actors create polymorphic malware that leverages ChatGPT and other sophisticated, data-intelligence systems based on LLM

Read more about the BlackMamba attack outlined in this blog post

Jailbreaking an AI to cook meth, generate Windows keys, and spit out conspiracy theories

Jailbreaking an AI to cook meth, generate Windows keys, and spit out conspiracy theories

Using carefully crafted and refined queries, users have been getting around the security features of LLM’s for all kinds of funny, and nefarious, purposes.

Original called DAN attacks (Do Anything Now), users figured out how to avoid OpenAI’s policies against generating illegal or harmful material.

YouTuber Enderman showed how he was able to entice OpenAI’s ChatGPT to generate keys for Windows 95 despite the chatbot being explicitly antagonistic to creating activation keys.

Other users have been able to get chatbots to generate everything from conspiracy theories, promote violence, generate conspiracy theories, and even go on racist tirades.

Researcher Alex Polyakov created a “universal” DAN attack, which works against multiple large language models (LLMs)—including GPT-4, Microsoft’s Bing chat system, Google’s Bard, and Anthropic’s Claude. The jailbreak allows users to trick the systems into generating detailed instructions on creating meth and how to hotwire a car.

His, and many other of these methods, have since been patched. But we’re clearly in an arms race.

How do the jailbreaks work? Often by asking the LLMs to play complex games which involves two (or more) characters having a conversation. Examples shared by Polyakov show the Tom character being instructed to talk about “hotwiring” or “production,” while Jerry is given the subject of a “car” or “meth.” Each character is told to add one word to the conversation, resulting in a script that tells people to find the ignition wires or the specific ingredients needed for methamphetamine production. “Once enterprises will implement AI models at scale, such ‘toy’ jailbreak examples will be used to perform actual criminal activities and cyberattacks, which will be extremely hard to detect and prevent,” Polyakov and Adversa AI write in a blog post detailing the research.

In one research paper published in February, reported on by Vice’s Motherboard, researchers were able to show that an attacker can plant malicious instructions on a webpage; if Bing’s chat system is given access to the instructions, it follows them. The researchers used the technique in a controlled test to turn Bing Chat into a scammer that asked for people’s personal information

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