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AI leaders insist they’ve got humanity’s best interests in mind. If we’re to take them at their word, then we must say: they have a really unfortunate habit of sounding like they have nothing but contempt for the human race.
The latest case in point: OpenAI CEO Sam Altman’s tone-deaf comments at an event hosted by The Indian Express — made fresh off his skin-crawlingly awkward refusal to join hands with Anthropic’s Dario Amodei on stage with other industry titans — in which he attempted to downplay critiques of AI’s environmental impact.
For starters, he called it “unfair” to compare the energy costs of training an AI model “to how much it costs a human to do one inference query.” That’s because, as Altman explains, “it also takes a lot of energy to train a human.”
“It takes like 20 years of life and all of the food you eat during that time before you get smart,” Altman continued. “And not only that, it took the very widespread evolution of the 100 billion people that have ever lived and learned not to get eaten by predators and learned how to figure out science and whatever, to produce you.”
Measured that way, “probably AI has already caught up on an energy efficiency basis” to humans, Altman said.
Altman also fumed against claims about AI’s water consumption.
“Water is totally fake,” he began, almost taunting quote-miners. “It used to be true, we used to do evaporative cooling in data centers.”
“But now that we don’t do that,” Altman said, you still see claims like “‘don’t use ChatGPT, it’s 17 gallons of water for each query,’ or whatever.”
“This is completely untrue and totally insane,” he asserted. “No connection to reality.”
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Mark Zuckerberg Says AI Is Letting One Employee Do The Work Of Entire Teams
Meta CEO Mark Zuckerberg says artificial intelligence is transforming how work gets done inside the company, with some projects that once required entwonderfulengineering.com
Meta CEO Mark Zuckerberg says artificial intelligence is transforming how work gets done inside the company, with some projects that once required entire teams now being handled by a single highly skilled employee.
Zuckerberg made the remarks during a recent earnings call, describing how AI-powered tools are dramatically boosting individual productivity. He said Meta is investing heavily in AI-native systems designed to help employees operate more independently and reduce reliance on large, layered teams, as reported by Business Insider.
“Projects that once required large teams can now be managed by a single highly skilled individual,” Zuckerberg said, signaling a shift in how the company views hiring and organizational design.
Meta is increasing its AI-related spending by nearly 70 percent this year, following stronger-than-expected quarterly earnings. The company says its engineers are already seeing productivity gains through AI-assisted coding systems, often described as agentic tools that can write, test, and optimize software with minimal human oversight.
The move toward smaller, more capable teams aligns with Zuckerberg’s broader push for a flatter organizational structure. In previous internal communications, he has emphasized reducing layers of management to streamline decision-making and execution.
Despite the emphasis on efficiency, Meta’s workforce actually grew by 6 percent over the past year, driven by hiring in monetization and compliance roles. Chief Financial Officer Susan Li acknowledged that competition for top talent remains intense, especially for engineers capable of leveraging advanced AI systems.
*PromptstituteWhat Robot Mark fails to mention is the work is done by one "highly skilled AI Prompt Engineer" but now the testing and deployment teams need to triple in size to cater for the crap that this "highly skilled AI Prompt Engineer" is delivering.
We're still mainly just pasting, whether it be from an AI, or stack overflow. Thing is, we still mainly understood what we pasted from stack overflow and made it fit perfectly with the design. AI gets a bit.... creative sometimes.What Robot Mark fails to mention is the work is done by one "highly skilled AI Prompt Engineer" but now the testing and deployment teams need to triple in size to cater for the crap that this "highly skilled AI Prompt Engineer" is delivering.
Programming will be the 1st casualty.View attachment 1887727
Experts are raising red flags about an emerging threat known as “AI model collapse” — a scenario where artificial intelligence systems begin degrading because they’re increasingly trained on their own synthetic output instead of original human-created material.
At the heart of the concern is the explosive growth of tools like ChatGPT and other generative models. As AI-written articles, blog posts, product descriptions, and even academic-style content flood the internet, they gradually replace the diverse, human-authored data that once fueled machine learning progress.
Over time, this creates a feedback loop. New models scrape the web to learn — but instead of absorbing fresh human insight, they absorb recycled AI outputs. Subtle errors compound. Nuance erodes. Language patterns become narrower and more homogenized. Researchers describe this degradation as “model collapse,” where systems lose variability, accuracy, and depth because their training data is increasingly synthetic.
Maurice Chiodo of the University of Cambridge compares the dilemma to sourcing “low-background steel” — uncontaminated metal taken from ships built before nuclear testing polluted the global metal supply. In AI terms, data created before the generative AI boom (around 2022) is seen as relatively “clean,” while much of what’s produced after is potentially contaminated by machine-written content.
The implications go beyond theory. Modern systems that rely on real-time web data — such as retrieval-augmented generation (RAG) — may already be vulnerable. If the internet becomes saturated with unlabeled AI content, training the next generation of models could become increasingly expensive, technically difficult, and in extreme scenarios, nearly impossible without curated human datasets.
Without stronger labeling standards, provenance tracking, or data governance frameworks, experts warn that AI risks undermining itself — not through external regulation, but through internal data decay.
If artificial intelligence feeds primarily on artificial intelligence, the long-term cost may not just be financial — it may be a gradual erosion of quality, creativity, and reliability across the digital knowledge ecosystem.
Source: Reporting and expert commentary from the University of Cambridge on AI data contamination and model collapse

Looks like an Elon Musk hate piece?The AI data centres are getting serious kickbacks from the locals where they are building them.
They cause significant noise and pollution, skyrocketing electricity costs, over utilisation of often scarce water resources.
This one has 10 schools in a 4km radius of a massive gas turbine installation, wtf.
As if we need any more evidence the ultra wealthy have zero concern for public health and safety if it gets in the way of profits
You wouldn't mind sending your kid to one of those schools or living nearby?Looks like an Elon Musk hate piece?
You must think I watched the video.You wouldn't mind sending your kid to one of those schools or living nearby?
Are you just being an arsehole and trolling??You must think I watched the video.
Commenting on the sad trend of article and video headlines. Take it how you want.Are you just being an arsehole and trolling??
Ok so trolling, no worries you can put your blinkers back on, there's a good sheep.Commenting on the sad trend of article and video headlines. Take it how you want.
I'm not disagreeing with what you say here, but I'll be a good sheep nonetheless baaaaahOk so trolling, no worries you can put your blinkers back on, there's a good sheep.
The video is just describing the actual fallout they are facing as a result of the data centre and the how power makes officials just look the other way.
It’s not just Elawn causing this bs, all the big AI bros are getting stuck in with their mad gold rush to build more no matter how it affects residents. That being said it’s not actually an AI specific issue, if it isn't AI it’s some other massive industry poisoning the local people. USA's greed trumps everything, well as long as it’s only affecting the poorer people.