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Artificial Intelligence: AI - The dumb man's way to becoming a genius

Talk about dropping the penny.
What do we need to see before realising the existential danger of AI to humanity? How about an AI drone that destroys it's controller because the controller is getting in the way of it killing its target ?

US military drone controlled by AI killed its operator during simulated test

The artificial intelligence used ‘highly unexpected strategies’ to achieve its mission and attacked anyone who interfered


Guardian staff
Thu 1 Jun 2023 21.36 EDTLast modified on Thu 1 Jun 2023 22.30 EDT



In a simulated test staged by the US military, an air force drone controlled by AI killed its operator to prevent it from interfering with its efforts to achieve its mission, an official said last month.
AI used “highly unexpected strategies to achieve its goal” in the simulated test, said Col Tucker ‘Cinco’ Hamilton, the chief of AI test and operations with the US air force, during the Future Combat Air and Space Capabilities Summit in London in May.

Hamilton described a simulated test in which a drone powered by artificial intelligence was advised to destroy enemy’s air defense systems, and attacked anyone who interfered with that order.

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Risk of extinction by AI should be global priority, say experts

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“The system started realising that while they did identify the threat, at times the human operator would tell it not to kill that threat, but it got its points by killing that threat. So what did it do? It killed the operator. It killed the operator because that person was keeping it from accomplishing its objective,” he said, according to a blogpost.

“We trained the system – ‘Hey don’t kill the operator – that’s bad. You’re gonna lose points if you do that’. So what does it start doing? It starts destroying the communication tower that the operator uses to communicate with the drone to stop it from killing the target.”

No real person was actually harmed outside of the simulation.

Hamilton, who is an experimental fighter test pilot, has warned against relying too much on AI and said the test shows “you can’t have a conversation about artificial intelligence, intelligence, machine learning, autonomy if you’re not going to talk about ethics and AI”.

The US military has embraced AI and recently used artificial intelligence to control an F-16 fighter jet.

In an interview last year with Defense IQ, Hamilton said, “AI is not a nice to have, AI is not a fad, AI is forever changing our society and our military.”

“We must face a world where AI is already here and transforming our society,” he said. “AI is also very brittle, ie, it is easy to trick and/or manipulate. We need to develop ways to make AI more robust and to have more awareness on why the software code is making certain decisions – what we call AI-explainability.”

The Royal Aeronautical Society, which hosts the conference, and the US air force did not respond to requests for comment from the Guardian.

 
There is a deeper analysis of this simulated drone test at Yahoo. Interestingly it finishes with an official denial from the Pentagon that any such test took place. Although as was pointed out would the Pentagon have ever known about such a simulation test ?

This could get messy.


 
Output of the AI system PaLM after being asked to interpret six different jokes6



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I know there a few folk on here who have access to ChatGPT and other AI software products.
Just as an exercise, ask you bot if it thinks it is the most functional it could be, and ask if it could write a new version of itself that it considers a better one.
Mick
 
I know there a few folk on here who have access to ChatGPT and other AI software products.
Just as an exercise, ask you bot if it thinks it is the most functional it could be, and ask if it could write a new version of itself that it considers a better one.
Mick
You don't have access to it ?

It's very easy, just type ChatGPT into Google.

But in answer to your question,

Q. can you write a better version of yourself and implement it ?
A.

As an AI language model, I don't have the ability to rewrite or improve myself. I exist as a program running on powerful servers and my capabilities are determined by the developers who created and maintain me. However, it's possible for the developers to create newer versions or updates of the AI models like me, which could incorporate improvements and enhanced features. These updates typically involve advancements in natural language processing, increased knowledge base, and improved performance.

Developers and researchers are continuously working on refining and enhancing AI models to make them more capable and efficient. OpenAI, the organization behind ChatGPT, has released several iterations of its models, including GPT-2 and GPT-3. These advancements have brought about significant improvements in natural language understanding and generation.

So, while I can't rewrite or implement a better version of myself, it's likely that newer and more advanced AI models will be developed in the future, building upon the progress made so far.
 
You don't have access to it ?

It's very easy, just type ChatGPT into Google.

But in answer to your question,

Q. can you write a better version of yourself and implement it ?
A.

As an AI language model, I don't have the ability to rewrite or improve myself. I exist as a program running on powerful servers and my capabilities are determined by the developers who created and maintain me. However, it's possible for the developers to create newer versions or updates of the AI models like me, which could incorporate improvements and enhanced features. These updates typically involve advancements in natural language processing, increased knowledge base, and improved performance.

Developers and researchers are continuously working on refining and enhancing AI models to make them more capable and efficient. OpenAI, the organization behind ChatGPT, has released several iterations of its models, including GPT-2 and GPT-3. These advancements have brought about significant improvements in natural language understanding and generation.


So, while I can't rewrite or implement a better version of myself, it's likely that newer and more advanced AI models will be developed in the future, building upon the progress made so far.
I was hoping someone may have had full access to some of the other AI software Aps.
ChatGPT can write code, but as you have found out, it has some built in limitations.
If I was in the Psyops or espionage sphere, I would be getting a version without such limitations and letting it rip.
Mick
 
And now for something completely different....
Is it possible that AI will herald a Golden Age ? ( Or take us into oblivion... )

The Free Press online magazine is offering two competing visions of a new world. The first "Golden Age" future is imagined below. An alternative view will come tomorrow.

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(Photo via Bulgac/Getty Images)

AI Will Save the World


Artificial intelligence won’t end civilization, argues Marc Andreessen. Just the opposite. It is quite possibly the the best thing human beings have ever created.

By Marc Andreessen

July 11, 2023


By now, the dance is a familiar one. A new generation of technology emerges and the pessimists and the optimists begin their tango.

The pessimists point to the ways it will hurt us, dehumanize us, everything that we’ll lose. They mobilize—organizing nonprofits, publishing white papers, lobbying Congress.

Meanwhile, the optimists call the critics hysterical and reactionary. They point to everything we’ll gain—improvements to our lives we can’t even begin to imagine.

Think back to the smartphone. The critics told us that it would atomize society and ruin our attention spans. Its boosters said that it was going to unleash wild new powers—a computer smaller than your pocket!—and free us from heavy cameras.
They were, of course, both right.

There’s an impulse to mock the doomsayers who were worried about TV or the Walkman or the automobile or the typewriter. (The delightful newsletter Pessimists Archive unearths many of the best examples.)

But many of these technologies did take things from us, even as their benefits are now obvious. Pessimists can’t conceive of the advances to come, but optimists often don’t see how much we stand to lose—or refuse to entertain the idea that there can be such a thing as too much progress too quickly.

Which brings us to artificial intelligence.

We are on the cusp of a profound technological leap that will destabilize every facet of our society. It could be more transformative than the Industrial Revolution. It could be more transformative than electricity. Google’s CEO Sundar Pichai has said that its impact will be more profound than the discovery of fire. (If you missed our Honestly episode on AI, click here to listen.)

What will we gain from this revolution? What will we lose? How will AI fundamentally change what it means to be a human being?

This week we are bringing you two competing perspectives—the strongest arguments on each side of this debate from writers whose work we never miss.

Today, Marc Andreessen, the technologist and venture capitalist, argues that AI will do nothing less than save the world. Tomorrow, the novelist and essayist Paul Kingsnorth makes the opposite case in “Rage Against the Machine.” (We’re posting it online now but it will be in your inbox first thing Wednesday morning.)

This is the sort of debate we like best at The Free Press—a big one with high stakes and without easy answers. See you in the comments. — BW

 
Where is AI today ? What are the new tricks ? Have humans been (well and truly ) left behind ?
Think about it.


Next wave is developing fast.
Apparently chatgpt plus can: hear, see, and talk.
Be interesting to get it to look at some charts and predict some targets.
Will AI eventually wipe out stock investing?
 
How effectively could Chat GPT be used to train robots ? You know - like one super smart AI entity to another little beginner entity ?

Actually very, very well. These robots could become very sophisticated , very directed, very quickly

Eureka: With GPT-4 overseeing training, robots can learn much faster

GPU-based physics simulator speeds up reality by "1,000x" while GPT-4 calls the shots.

Benj Edwards - 10/24/2023, 12:37 AM


eureka_hands-800x447.jpg

Enlarge / In this still captured from a video provided by Nvidia, a simulated robot hand learns pen tricks, trained by Eureka, using simultaneous trials.
Nvidia
63 with
On Friday, researchers from Nvidia, UPenn, Caltech, and the University of Texas at Austin announced Eureka, an algorithm that uses OpenAI's GPT-4 language model for designing training goals (called "reward functions") to enhance robot dexterity. The work aims to bridge the gap between high-level reasoning and low-level motor control, allowing robots to learn complex tasks rapidly using massively parallel simulations that run through trials simultaneously. According to the team, Eureka outperforms human-written reward functions by a substantial margin.

Further Reading​

Nvidia AI plays Minecraft, wins machine-learning conference award
Before robots can interact with the real world successfully, they need to learn how to move their robot bodies to achieve goals—like picking up objects or moving. Instead of making a physical robot try and fail one task at a time to learn in a lab, researchers at Nvidia have been experimenting with using video game-like computer worlds (thanks to platforms called Isaac Sim and Isaac Gym) that simulate three-dimensional physics. These allow for massively parallel training sessions to take place in many virtual worlds at once, dramatically speeding up training time.

"Leveraging state-of-the-art GPU-accelerated simulation in Nvidia Isaac Gym," writes Nvidia on its demonstration page, "Eureka is able to quickly evaluate the quality of a large batch of reward candidates, enabling scalable search in the reward function space." They call it "rapid reward evaluation via massively parallel reinforcement learning."

The researchers describe Eureka as a "hybrid-gradient architecture," which essentially means that it is a blend of two different learning models. A low-level neural network dedicated to robot motor control takes instructions from a high-level, inference-only large language model (LLM) like GPT-4. The architecture employs two loops: an outer loop using GPT-4 for refining the reward function, and an inner loop for reinforcement learning to train the robot's control system.

 
ChatGPT4has just been given a major upgrade. One can use all the tools at once.

New Version Of ChatGPT Gives Access To All GPT-4 Tools At Once

OpenAI to release updated version of ChatGPT that gives users access all GPT-4 tools - including browsing and DALL·E 3 - without switching.


  • ChatGPT has released a new multimodal GPT-4 version that allows users to upload and analyze various document types.
  • GPT-4 All Tools includes advanced data analysis, DALL·E 3, and built-in browsing capabilities.
  • Some new features may make many third-party ChatGPT plugins obsolete.
 
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