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Reblog via Cassie Kozyrkov
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Reblog via Emily M. Bender (she/her)
"@Riedl, professor at the Georgia Institute of Technology, said that existential threats are “often reported as fact,” which he added “goes a long way to normalizing, through repetition, the belief that only scenarios that endanger civilization as a whole matter and that other harms are not happening or are not of consequence.”"
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In a recent paper titled “Making AI Less “Thirsty”: Uncovering and Addressing the Secret Water Footprint of AI Models,” […] researchers from the University of Colorado Riverside and the University of Texas Arlington [find that] training GPT-3 in Microsoft’s US data centers can directly consume 700,000 liters of freshwater — equivalent to what it takes to produce 370 BMW cars or 320 Tesla electric vehicles. Additionally, for every conversation of about 20-50 questions and answers you have with ChatGPT, the chatbot “drinks” 500ml of water. [G]iven that the tool was the fastest piece of software to reach the 1 million users mark in history and now has over 100 million users, the total combined footprint is enough to cause concern.
Does ChatGPT ‘drink’ water? Research reveals hidden cost of every conversation with the bot | The Indian Express -
Reblog via danah boyd
Can you help me identify everyday examples of mundane low-stakes data modeling failures. We've seen a lot of discussions of supply chain failures and labor shortages. But what about when companies are clearly getting their modeling wrong? (And do they care?) Here's some context and examples that I have to offer: https://medium.com/@zephoria/everyday-mundane-low-stakes-data-modeling-fails-75e1d0554a5c
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Reblog via xkcd.com

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Which European countries have the most AI startups? | Sifted
“Startup-friendly Estonia boasts the most AI startups per million people — 10 — with companies like the Tiger Global-backed unicorn Veriff leading the charge, according to new research by the VC firm Earlybird.”
“Switzerland also punches above its weight when accounting for population. It boasts 67 AI startups including the smart data capture unicorn Scandit. The alpine nation has benefited from having one of Europe’s spinout capitals in ETH Zurich, which counts nine AI founders as alumni.”
Source: Which European countries have the most AI startups? | Sifted
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Reblog via Google Alert – “Artificial intelligence”
Last month, a draft European Union Artificial Intelligence Act was agreed in the European Parliament. Arguably, the draft Act represents the most … -
Reblog via Emily M. Bender (she/her)
⚡️New! Opening up ChatGPT https://doi.org/10.48550/arXiv.2307.05532
TL;DR #chatgpt is unfit for responsible use in science & education. Open instruction-tuned text generators (LLM + RLHF) are on the rise. But how open are they? We track degrees of openness in this #CUI23 paper & live at https://opening-up-chatgpt.github.io
We hope this paper & repository will help more people make mindful choices about tech
work with @andreasliesenfeld and @alianda


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Reblog via Emily M. Bender (she/her)
Hey #MAIHT3k fans! Our next twitch stream (episode 14) is this Friday. Come listen live while @alex and I chat with Dr. Lucy Suchman about AI hype and military and national security — and take apart AI hype coming from none other than Henry Kissinger + Palantir's applications of LLMs to warmaking.
twitch.tv/dair_institute
Friday July 21, 1pm Pacific -
Reblog via Alex Hanna
So incredibly excited that we got the one and only Dr. Lucy Suchman to discuss AI and warmaking/mongering on the next #MAIHT3k.
@emilymbender, Dr. Suchman, and I will discuss AI hype and military and national security — and take apart AI hype coming from none other than Henry Kissinger + Palantir's applications of LLMs to warmaking.
https://twitch.tv/dair_institute
Friday July 21, 1pm Pacific -
Reblog via Francis Hunger
Open PhD position in Digital Humanities – From Text to Image with AI!
If you are interested in doing research on multimodal and generative AI in the context of art and culture, check this out: https://shorturl.at/dmq27
A 4-year funded position at @UZH_dsi
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Reblog via #semiotics
I’m reading Reni Yankova’s work on habit based on Peircean #semiotics and somehow I feel there’s a connection to be made with Lisa Feldman Barret’s #meaningMaking…
But it’s still just a hunch 🤔
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Reblog via Zach Weinersmith

Click here to go see the bonus panel!
Hovertext:
Fortunately, he can tell the precise letter count she’s using.Today’s News:
New minibook launching tomorrow! Stay tuned…
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Reblog via Zach Weinersmith

Click here to go see the bonus panel!
Hovertext:
Honestly, if you think Present is bad you should’ve seen Past!Today’s News:
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Reblog via Charles Johnson
It’s probably a good idea to repost this incredibly prophetic cartoon from 2014 at regular intervals because every day I see people who still haven’t fully imbibed its message. Apologies if it’s old hat to you.
The Terrible Sea Lion.
https://wondermark.com/c/1k62/
https://en.wikipedia.org/wiki/Wondermark#Sea_lioning

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Reblog via Teri Kanefield
Writing this week's blog post hurt my head 😂
What took me a while was to connect the thinking behind the plaintiff's arguments in Missouri v. Biden to what Musk is doing on Twitter.
I kept thinking, "There's a connection here." Then, finally 💡
Good thing there is lots of daylight left and lovely weather because it's time for a walk.
https://terikanefield.com/missouri-v-biden-control-for-the-dominance-of-american-media/
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Reblog via Emily M. Bender (she/her)
Have a listen (or read the transcript) and sit for a while with three of the workers who did content moderation for ChatGPT. Thank you @karenhao for this important window into the human impact of this work.
>>
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Reblog via Emily M. Bender (she/her)
Recently, I was asked about the apparent ‘schism’ between those making a lot of noise about fears inspired by fantasies of all-powerful ‘AIs’ going rogue and destroying humanity, and those seeking to illuminate and address actual harms being done in the name of ‘AI’ now and the risks that we see following from increased use of this kind of automation.
I objected strongly to the framing and tried to explain how it was ahistorical. Here is my response in blog form:
https://medium.com/@emilymenonbender/talking-about-a-schism-is-ahistorical-3c454a77220f
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Reblog via Bread and Circuses
A timely and rather shocking meme, to which I have added #AltText…
#Climate #ClimateChange #ClimateCrisis #ClimateEmergency

feeds
- … environmental impact. Fighting battery fires. Lead-acid batteries still dominate nearly 90 percent of UPS backup systems globally, but their low …
- … environmental impact of AI infrastructure. “These projects tend to be heavy on the benefit analysis and very light on the cost analysis,” Davies …
- … environmental impact of AI data centers and their gargantuan resource demands. Now a new report points to yet another concern about AI which could …
- The environmental impact of AI Data Centers includes significant water … Some Gen Zers want to abstain from AI use because they worry about AI …
- While the conversation around AI and digital infrastructure is … For those concerned about the environmental impact or the electrical …
- The project has faced criticism for being rushed, as well as concerns about the environmental impact … AI Future Devouring American Energy and …
- While much of the AI conversation is focused on data centers' water and energy use, another lesser-known environmental impact is enabled emissions.
- Environmental impact of the project. Engage with the local media and community through various channels, including: Social media posts. Direct mail …
- Panthalassa aims to address the growing demand for energy and computing while reducing the environmental impact of traditional data centers.
- Historically, winter operations were manual and fragmented, creating operational costs, safety risks, and environmental impact from chemicals used to …
- AI-powered drone automation is helping warehouses reduce greenhouse gas … environmental impact of implementing Verity's indoor drone system in a …
- … environmental impact. Data centers instead consumed an estimated 17 billion gallons in 2023, triple the 2014 figure. By 2030, AI-driven water …
