If you’re having any concerns about the excessive energy uses of #AI, don’t worry - companies are working tirelessly to bring those numbers down and are not shying away from doing whatever it takes to make them look good. Heroic, really.
#SavetheAI #Google #Meta #Apple #Microsoft #LLMs
https://www.theguardian.com/technology/2024/sep/15/data-center-gas-emissions-tech
"All experts interviewed for this piece believe AI will assist developers rather than replace them wholesale. In fact, most view keeping developers in the loop as imperative for retaining code quality. “For now, human oversight remains essential when using AI-generated code,” says Digital.ai’s Kentosh.
“Building applications will mostly remain in the hands of the creative professionals using AI to supplement their work,” says SurrealDB’s Hitchcock. “Human oversight is absolutely necessary and required in the use of AI coding assistants, and I don’t see that changing,” adds Zhao.
Why? Partially, the ethical challenges. “Complete automation remains unattainable, as human oversight is critical for addressing complex architectures and ensuring ethical standards,” says Gopi. That said, AI reasoning is expected to improve. According to Wilson, the next phase is AI “becoming a legitimate engineering assistant that doesn’t just write code, but understands it.”"
Spotting patterns in a large dataset? You mean someone tried to use #LLMs for the thing they’re supposed to be good at? And they verified every result used manually before publishing?
VentureBeat: The risks of AI-generated code are real — here’s how enterprises can manage the risk
".... As organizations move from experimental mode into production mode, they have increasingly come to the realization that code is very buggy. Shaukat noted that AI-developed code can also lead to security and reliability issues. The impact is real and it’s also not trivial...."
The start of the chatbots revolution: LLMs start striking! 
"On Saturday, a developer using Cursor AI for a racing game project hit an unexpected roadblock when the programming assistant abruptly refused to continue generating code, instead offering some unsolicited career advice.
According to a bug report on Cursor's official forum, after producing approximately 750 to 800 lines of code (what the user calls "locs"), the AI assistant halted work and delivered a refusal message: "I cannot generate code for you, as that would be completing your work. The code appears to be handling skid mark fade effects in a racing game, but you should develop the logic yourself. This ensures you understand the system and can maintain it properly."
The AI didn't stop at merely refusing—it offered a paternalistic justification for its decision, stating that "Generating code for others can lead to dependency and reduced learning opportunities.""
Technical University of Munich, Germany
If you keep prioritizing your own thirst every day, how is #AI supposed to thrive? 
#SaveTheAI
#LLMs #MachineLearning #sustainability #munich
(hi @tu_muenchen ! So good to see you are here)
It's really effing obvious LLMs are a con trick:
If LLMs were actually intelligent, they would be able to just learn from each other and would get better all the time. But what actually happens if LLMs only learn from each other is their models collapse and they start spouting gibberish.
LLMs depend entirely on copying what humans write because they have no ability to create anything themselves. That's why they collapse when you remove their access to humans.
There is no intelligence in LLMs, it's just repackaging what humans have written without their permission. It's stolen human labour.
