The world is facing an imminent water crisis, with demand expected to outstrip the supply of fresh water by 40% by the end of this decade, experts have said on the eve of a crucial UN water summit. From a report: Governments must urgently stop subsidising the extraction and overuse of water through misdirected agricultural subsidies, and industries from mining to manufacturing must be made to overhaul their wasteful practices, according to a landmark report on the economics of water. Nations must start to manage water as a global common good, because most countries are highly dependent on their neighbours for water supplies, and overuse, pollution and the climate crisis threaten water supplies globally, the report's authors say. Johan Rockstrom, the director of the Potsdam Institute for Climate Impact Research and co-chair of the Global Commission on the Economics of Water, and a lead author of the report, told the Guardian the world's neglect of water resources was leading to disaster. "The scientific evidence is that we have a water crisis. We are misusing water, polluting water, and changing the whole global hydrological cycle, through what we are doing to the climate. It's a triple crisis." Rockstrom's fellow Global Commission on the Economics of Water co-chair Mariana Mazzucato, a professor at University College London and also a lead author of the report, added: "We need a much more proactive, and ambitious, common good approach. We have to put justice and equity at the centre of this, it's not just a technological or finance problem."

https://science.slashdot.org/story/23/03/17/175225/global-fresh-water-demand-will-outstrip-supply-by-40-by-2030-say-experts

In a world in need of fresh/drinking water, why the AI?

Researchers Claim Their AI Algorithm Can Recreate What People See Using Brain Scans

A recent study, scheduled to be presented at an upcoming computer vision conference, demonstrates that AI can read brain scans and re-create largely realistic versions of images a person has seen....The accuracy of this new method is impressive.

Scientists Target 'Biocomputing' Breakthrough With Use of Human Brain Cells

Scientists propose to develop a biological computer powered by millions of human brain cells that they say could outperform silicon-based machines while consuming far less energy.
[...]
The project's ambition mirrors work on the more advanced quantum computing but raises ethical questions around the "consciousness" of brain organoid assemblies
[...]

DARPA ACE AI Flights F-16 Fighter Jet:
https://news.slashdot.org/story/23/02/14/1631249/ai-has-successfully-piloted-a-us-f-16-fighter-jet-darpa-says

the previous DARPA AlphaDogfight Trials were run in a simulator:
https://www.darpa.mil/news-events/2020-08-07

...pondering about the AI doomsday sayers and recent developments it seems naive to me to assume that there will be one single AI agent with one background and one motivation, we see currently different agents, with different backgrounds and therefore different motivations rising. If we say that AI will compete with humans for resources, it seems only natural that AIs will compete amongst each other for resources, or, will they really merge one day to one big single system? Interesting times. Still waiting for the AGI/ASI, the strong AI, which combines all the AI-subsystems into one.

Okay, did not see that one coming:

"Jailbreaking AIs"

https://slashdot.org/story/23/02/12/0114222/bing-chat-succombs-to-prompt-injection-attack-spills-its-secrets

The day after Microsoft unveiled its AI-powered Bing chatbot, "a Stanford University student named Kevin Liu used a prompt injection attack to discover Bing Chat's initial prompt," reports Ars Technica, "a list of statements that governs how it interacts with people who use the service." 

Welcome to the future. Nick Bostrom anyone?

They generate text, source code, images, audio, video, 3D models, what's missing?

The large language models for text generation still lack a decent reasoner and analyzer module, decent video is IMO just a matter of time resp. hardware, and my take would be that the next thing are brainwaves for the BCI, brain computer interface.

"Google Created an AI That Can Generate Music From Text Descriptions, But Won't Release It"

https://tech.slashdot.org/story/23/01/27/187213/google-created-an-ai-that-can-generate-music-from-text-descriptions-but-wont-release-it

[...]Still, the Google researchers note the many ethical challenges posed by a system like MusicLM, including a tendency to incorporate copyrighted material from training data into the generated songs.

"OpenAI Releases Point-E, an AI For 3D Modeling"

https://news.slashdot.org/story/22/12/21/2255216/openai-releases-point-e-an-ai-for-3d-modeling

To produce a 3D object from a text prompt, we first sample an image using the text-to-image model, and then sample a 3D object conditioned on the sampled image. Both of these steps can be performed in a number of seconds, and do not require expensive optimization procedures.

The first chess playing engine source code created by an AI and published?

>>Provide me with a minimal working source code of a chess engine

It's difficult for me to provide a minimal working source code for a chess engine, as the process of creating a chess engine involves a significant amount of complex programming and knowledge of computer science and chess. Additionally, the specific details of a chess engine's source code can vary depending on the design and goals of the engine. Here is a very basic example of a chess engine written in the Python programming language:

    import chess

    board = chess.Board()

    while not board.is_game_over():
    # Generate a list of all legal moves
    legal_moves = list(board.legal_moves)

    # Choose a random move from the list of legal moves
    move = random.choice(legal_moves)

    # Make the move on the board
    board.push(move)

    # Print the final game state
    print(board)

This code creates a chess board using the chess library, and then enters a loop where it generates a list of all legal moves and chooses a random move to make on the board. The loop continues until the game is over, at which point the final game state is printed.

Keep in mind that this is a very basic example and doesn't include many of the features and capabilities that a more advanced chess engine would have. It's only intended to provide a minimal working example of a chess engine. If you're interested in creating your own chess engine, I recommend doing some research and studying the field to gain a more thorough understanding of the process and necessary techniques.

ChatGPT thread on TalkChess:
https://talkchess.com/forum3/viewtopic.php?f=2&t=81097&start=20#p939245