#Data to Intelligence

[globosetechnologysolutions1]

Explore the power of image data collection and its role in transforming raw visuals into actionable intelligence.

[ahb-writes]

(from The Mitchells vs. the Machines, 2021)

[enneadau]

EMERGENCY AUTHOR UPDATE

I feel like this needs to be warned about. Everything on Ao3 that isn't set to private, HAS been data scraped and fed to 3 data sites that provide data for AI training, including writing and artwork.

Yes, this includes my entire Ennead series and everything else I've ever written and posted. As well as anything you all have written but not made private.

Ao3's legal team is fighting it and one site has made the data unavailable, but the other two aren't based in the USA so the fight is harder.

This is frustrating and upsetting news, especially for those of us who now need to pick between our Guest readers who have supported us for a long time and protecting the hard work that we've put our hearts and souls into and I just ask that we support each other and our choices during this time.

The link here has more details but from now on, until I can be sure there's a way to protect my work, which I've spent decades writing and planning, my stories will be posted for members of the site only.

[mostly-natm]

Upgrades.

[probablyasocialecologist]

The almost overnight surge in electricity demand from data centers is now outstripping the available power supply in many parts of the world, according to interviews with data center operators, energy providers and tech executives. That dynamic is leading to years-long waits for businesses to access the grid as well as growing concerns of outages and price increases for those living in the densest data center markets. The dramatic increase in power demands from Silicon Valley’s growth-at-all-costs approach to AI also threatens to upend the energy transition plans of entire nations and the clean energy goals of trillion-dollar tech companies. In some countries, including Saudi Arabia, Ireland and Malaysia, the energy required to run all the data centers they plan to build at full capacity exceeds the available supply of renewable energy, according to a Bloomberg analysis of the latest available data. By one official estimate, Sweden could see power demand from data centers roughly double over the course of this decade — and then double again by 2040. In the UK, AI is expected to suck up 500% more energy over the next decade. And in the US, data centers are projected to use��8% of total power by 2030, up from 3% in 2022, according to Goldman Sachs, which described it as “the kind of electricity growth that hasn’t been seen in a generation.”

21 June 2024

[tanadrin]

fish-out-of-water character in science fiction to whom humanity is deeply alien, but who does not continually get themselves into awkward social situations because they looked up Human Ettiquette For Dummies, they learned about basic human social dynamics including how humans bond socially, and it is immediately obvious to them after five second of introspection how a highly social tool-using species like humans would benefit from spending a lot of time building social ties

[nicjeann]

someone prompted the newest AI program deepseek to make a heart rending piece of free form poetry about what it means to be an AI in 2025….why is it literally giving something lore soong would say from star trek. and 2, holy shit this was heart wrenching…

source:

[amethystsoda]

hi btw even if you didn’t upgrade to ios 18 with the ai software, apple still switched everything on to learn from your phone.

You have to go into siri settings and apps and then toggle everything off (I left search app on so I can find them, but all else off). You have to do this for every single app 😅

[automaticclappingxboxterminator]

AUTOMATIC CLAPPING XBOX TERMINATOR GENISYS

[idol--hands]

🌟 artist: DaryIsTomb

[globosetechnologysolutions1]

Explore the power of image data collection and its role in transforming raw visuals into actionable intelligence. Learn how AI and machine learning are revolutionizing industries, from healthcare to autonomous vehicles, and shaping a smarter, data-driven future.

[odinsblog]

A multinational corporation—driven by greedy shareholders and a profit motive—buying its own nuclear reactors; all to power “green” “carbon neutral” A.I. data centers.

I mean, what could possibly go wrong? 🤦‍♂️

[mostly-natm]

Star Trek TNG/A.I. Artificial Intelligence crossover where the planet that A.I. takes place on is a replicate earth, and the Enterprise discovers David instead of the creatures at the end of the movie!

Data is phenomenal with kids, which really makes me want to see him interacting with and guiding an android child*, especially one of a different make and model to himself! David was created to be a forever child, so it would be interesting to see how Data would process meeting a being like himself who is in a childhood purgatory, when he never got a childhood himself.

*Lal counts, but I still think his experiences with David would be unique!

[probablyasocialecologist]

The latest, AI-dedicated server racks contain 72 specialised chips from manufacturer Nvidia. The largest “hyperscale” data centres, used for AI tasks, would have about 5,000 of these racks.  And as anyone using a laptop for any period of time knows, even a single chip warms up in operation. To cool the servers requires water – gallons of it. Put all this together, and a single hyperscale data centre will typically need as much water as a town of 30,000 people – and the equivalent amount of electricity.  The Financial Times reports that Microsoft is currently opening one of these behemoths somewhere in the world every three days. Even so, for years, the explosive growth of the digital economy had surprisingly little impact on global energy demand and carbon emissions. Efficiency gains in data centres—the backbone of the internet—kept electricity consumption in check.  But the rise of generative AI, turbocharged by the launch of ChatGPT in late 2022, has shattered that equilibrium. AI elevates the demand for data and processing power into the stratosphere. The latest version of OpenAI’s flagship GPT model, GPT-4, is built on 1.3 trillion parameters, with each parameter describing the strength of a connection between different pathways in the model’s software brain.  The more novel data that can be pushed into the model for training, the better – so much data that one research paper estimated machine learning models will have used up all the data on the internet by 2028. Today, the insatiable demand for computing power is reshaping national energy systems. Figures from the International Monetary Fund show that data centres worldwide already consume as much electricity as entire countries like France or Germany. It forecasts that by 2030, the worldwide energy demand from data centres will be the same as India’s total electricity consumption. 

30 May 2025

[pvposeur]

Prevent Third-Party Sharing

Friendly reminder to go to your settings and enable Prevent third-party sharing via https://www.tumblr.com/settings/blog/[USERNAME]. All you have to do is replace [USERNAME] with your own username, scroll all the way down to the bottom, and you're good to go. And down below is a list of everything that will not be shared with Tumblr's own licensed network of content and research partners, including those that train AI models.