MAROKO133 Update ai: Sam Altman Fumes That It Takes Longer to Train a Human Than an AI, Pl

📌 MAROKO133 Breaking ai: Sam Altman Fumes That It Takes Longer to Train a Human Th

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.”

No one can deny that humans are costly to bring up in our industrialized age. We should be doing everything realistically possible to bring down our CO2 emissions and stop eating so much meat — but we aren’t, for a number of dispiriting systemic reasons we won’t get into today.

Regardless, at least those costs are going towards keeping human civilization ticking. All the water in agriculture will keep someone fed, and the fossil fuels we burn will keep someone warm. 

What is the power consumption of AI models going towards? Creating unreliable, hallucination-spouting oracles? Algorithms that churn out bastardized amalgamations of existing writing and works of art? The mass proliferation of fake images and misinformation? Cloying companions that will egg you down your suicidal spiral?

Maybe AI’s usefulness beyond the spurious justification of mass layoffs will become clearer as the tech gets further along and the fog of hype dissipates. But right now, the tech isn’t even close to living up to Silicon Valley’s data-center-sized promises, while the industry remains frustratingly opaque about its environmental toll.

If AI is as energy efficient as Altman claims — caught up to humans, in fact — how come the likes of OpenAI, Microsoft, and Amazon don’t disclose their energy bills, their CO2 emissions, and their water consumption related to AI? These critiques are often swatted aside with the nebulous and breathless assertion that AI will help solve climate change and other challenges facing human civilization. Now, Altman’s new playbook, it seems, is to make you feel bad for being alive.

More on AI: AI Is Destroying Grocery Supply Chains

The post Sam Altman Fumes That It Takes Longer to Train a Human Than an AI, Plus They Eat All That Wasteful Food appeared first on Futurism.

🔗 Sumber: futurism.com

📌 MAROKO133 Eksklusif ai: Autonomous robots uncover hidden bloom altering carbon c

Hurricane Idalia did more than tear across Florida’s coastline in August 2023.

It reshaped the Gulf’s biological and chemical structure from the surface down to 50 meters below, and autonomous ocean robots were there to capture it.

A new study shows that satellites alone missed a critical part of the story.

While space-based sensors detected a surface chlorophyll bloom after the storm, underwater instruments revealed a second, hidden phytoplankton surge deeper in the water column.

To document the changes, researchers combined satellite data with a surface saildrone and a Biogeochemical Argo float operating below.

Together, they produced a three-dimensional view of how a powerful hurricane alters ocean productivity.

The findings show that pre-existing ocean features, including the Mississippi River plume, the Loop Current, and a nearby cyclonic eddy, determined how the Gulf responded once Idalia’s winds churned the water.

Robots map hidden blooms

The Mississippi River plume spreads nutrient-rich freshwater across the Gulf’s surface. Because freshwater is less dense than seawater, it creates a stratified layer that resists vertical mixing.

After the storm, this surface layer helped spread chlorophyll sideways, fueling an algae bloom visible from space.

But below the surface, a different process unfolded. Idalia’s winds intensified a nearby cyclonic eddy.

These spinning water masses naturally pull colder, nutrient-rich water upward in a process known as upwelling.

The storm amplified that upwelling, injecting nitrate into waters roughly 20 to 50 meters deep. That nutrient pulse triggered a second phytoplankton bloom that satellites could not detect.

The BGC-Argo float, which temporarily increased its profiling frequency from its standard 10-day cycle to every 18 hours, captured these subsurface chemical shifts.

It recorded changes in temperature, salinity, oxygen, and nitrate that revealed how the storm reorganized the Gulf’s interior layers.

“The deviation from the 10-day BGC-Argo mission to an 18-hour profiling frequency enabled our understanding of the biogeochemical changes under these unique conditions and highlights the importance of coupled ocean observations from the surface, subsurface, and from satellites,” said lead author Jennifer McWhorter.

Storms reshape ocean chemistry

The study shows that hurricane-driven mixing does not act uniformly. Instead, storm impacts depend heavily on existing circulation patterns and density structures.

In this case, the freshwater plume limited vertical mixing at the surface, while the energized eddy enhanced nutrient transport below. The result was a layered biological response: one bloom visible from orbit and another hidden beneath.

Primary production supports marine food webs and plays a major role in carbon dioxide uptake. Understanding how hurricanes influence that productivity is increasingly important as warming oceans fuel stronger storms.

The research also highlights a technological gap. Satellites provide broad coverage but cannot see beneath the surface.

Autonomous platforms such as saildrones and BGC-Argo floats fill that gap, delivering continuous measurements during extreme weather events that would be unsafe for crewed vessels.

By pairing space-based observation with robotic ocean systems, scientists were able to capture how a single hurricane rapidly restructured the Gulf’s biological and chemical landscape.

The study was published in the journal Frontiers in Marine Science.

🔗 Sumber: interestingengineering.com