#AI#BigTech#Energy#GenerativeAI: "One problem is that data centres tend to consume power at a steady rate, including when the sun is not shining nor the wind blowing. So technology firms are also thinking of ways to make data-processing more flexible. In March Sidewalk Infrastructure Partners, an investment fund co-created by Alphabet, presented a detailed plan for how this could be achieved. It involves a combination of microgrids (which can run independently but also exchange energy with others nearby), batteries and advanced software in order to enable shifting less time-sensitive tasks, such as training ai models, to periods of fallow demand. Jonathan Winer, one of Sidewalk’s founders, expects such data centres to pop up first in energy-constrained places like Arizona, California and Massachusetts.
Renewables are not the only area of big tech’s power interest. In March aws paid $650m for a 960-megawatt (mw) data centre in Pennsylvania powered by a nuclear reactor located next door. Microsoft has struck a deal with Constellation Energy, America’s biggest nuclear operator, for supply of nuclear power for its data centre in Virginia, as a backstop when wind and solar are unavailable. Both firms have also been looking at “small modular reactors”, a promising though unproven nuclear technology."
"... averages 31 years, with the longest recorded lifespan reaching 51 years. This meter-sized beetle is native to Mexico and Central America, where it inhabits dry and arid environments...."
Meter sized?
METER SIZED?
I need to stop using google the first few results it shows for simple insect questions are always GPT garbage ... LORDY.
@futurebird Soon it will be no better than the Middle Ages when people relied on hearsay, folk tales, uneducated guesses, incomplete memories, divination and divinely inspired visions for information.
"What a gift the internet of information was" they'll say. "If only we'd protected it."
#AI#GenerativeAI#VoiceCloning: "Using ElevenLabs, you can clone your voice like I did, or type in some words and hear them spoken by “Freya,” “Giovanni,” “Domi,” or hundreds of other fake voices, each with a different accent or intonation. Or you can dub a clip into any one of 29 languages while preserving the speaker’s voice. In each case, the technology is unnervingly good. The voice bots don’t just sound far more human than voice assistants such as Siri; they also sound better than any other widely available AI audio software right now. What’s different about the best ElevenLabs voices, trained on far more audio than what I fed into the machine, isn’t so much the quality of the voice but the way the software uses context clues to modulate delivery. If you feed it a news report, it speaks in a serious, declarative tone. Paste in a few paragraphs of Hamlet, and an ElevenLabs voice reads it with a dramatic storybook flare.
ElevenLabs launched an early version of its product a little over a year ago, but you might have listened to one of its voices without even knowing it. Nike used the software to create a clone of the NBA star Luka Dončić’s voice for a recent shoe campaign. New York City Mayor Eric Adams’s office cloned the politician’s voice so that it could deliver robocall messages in Spanish, Yiddish, Mandarin, Cantonese, and Haitian Creole. The technology has been used to re-create the voices of children killed in the Parkland school shooting, to lobby for gun reform. An ElevenLabs voice might be reading this article to you: The Atlantic uses the software to auto-generate audio versions of some stories, as does The Washington Post."
“A lot of times, it’s being asked to provide a solution to a problem that doesn’t exist with a tool that you don’t want to use,” independent software engineer Kolman told CNBC.
The Microsoft AI engineer said a lot of tasks are about “trying to create AI hype” with no practical use. He recalled instances when a software engineer on his team would come up with an algorithm to solve a particular problem that didn’t involve generative AI. That solution would be pushed aside in favor of one that used a large language model, even if it were less efficient, more expensive and slower, the person said. He described the irony of using an “inferior solution” just because it involved an AI model.
A software engineer at a major internet company, which the person asked to keep unnamed due to his group’s small size, said the new team he works on dedicated to AI advancement is doing large language model research “because that’s what’s hot right now.”"
#AI#GenerativeAI#Spam#Facebook#SocialMedia: "Over the last few months, many have proposed that the AI spam taking over Facebook is a great example of the “Dead Internet Theory,” which posits that large portions of the internet are made up of bots talking to bots, filtered through the lens of recommendation and engagement algorithms. Facebook is undeniably cooked, a decaying, depressing hall of horrors full of viral AI-generated content that seemingly gets worse every day.
But I do not think Facebook is the dead internet. Instead, I think it is something worse. Facebook is the zombie internet, where a mix of bots, humans, and accounts that were once humans but aren’t anymore mix together to form a disastrous website where there is little social connection at all.
I have spent more time than anyone I know endlessly scrolling through AI spam on Facebook. I have watched the evolution of Facebook’s AI spam go from slightly uncanny modifications of real images to the completely bizarre and obviously fake. I have done this from my own Facebook account, which I have had since 2005, as well as from two burner accounts I created specifically to track how AI-generated content is recommended on the platform and to see whether Facebook would put AI-generated images into my feed organically. I now use Facebook exclusively to see what kinds of bizarre AI content is going viral, and to attempt to figure out who is making it, why they are making it, and who is interacting with it."
Joined Dutch public broadcasting newshour show tonight to discuss AI and elections. And how chatbots and generative AI can be leveraged for political campaigns. And why the super election year 2024 is virtually unregulated. #AI#democracy#campaigns#politics#generativeAI
#AI#GenerativeAI#Law#DataStandards: "The aim is to create the legal equivalent of an electronic healthcare patient record, that any computer system can understand and exchange. And that, argue Sali supporters, will improve lawyers’ productivity and, therefore, benefit their clients.
Established in 2017, Sali comprises legal industry professionals from large law firms, in-house corporate legal teams, legal operations, big tech companies including Microsoft, and specialist legal software providers.
The standard is supported by industry groups such as the Corporate Legal Operations Consortium and International Legal Technology Association.
Prominent legal tech suppliers are already starting to incorporate the standard into their products, the organisation says. But it remains unclear how long this will take."
Ofcourse results needs to be verified and confirmed in practice but after reading the
MedGemini paper from Google there is no doubt in my mind AI will change the world of medicines. Not replacing people but augmenting them during diagnosis, operations and treatment of patients. https://arxiv.org/abs/2404.18416 #AI#medicines#generativeAI#LLM#GoogleGemini#MedGemini
Top Artikel (en-us) über den aktuellen Stand der sogenannten Semantic Apocalypse, das das Vollmüllen des Internets mit „#KI“-Content. Mit exzellenten Beispielen, aus den Augen eines Buchautoren und Neurowissenschaftlers.
“NARA will block access to commercial ChatGPT on NARANet [an internal network] and on NARA issued laptops, tablets, desktop computers, and mobile phones beginning May 6, 2024,” an email sent to all employees, and seen by 404 Media, reads. “NARA is taking this action to protect our data from security threats associated with use of ChatGPT.”
The move is particularly notable considering that this directive is coming from, well, the National Archives, whose job is to keep an accurate historical record. The email explaining the ban says the agency is particularly concerned with internal government data being incorporated into ChatGPT and leaking through its services."
Has anyone put any thought into how to protect your personal blog from the generative ai scrapers? I've already blocked openai in robots.txt, but it seems like more and more small #generativeAI providers are popping up who don't honor these requests?
Maybe a noise filters artists are using with invisible characters but then again how do I make sure Google bot can see my posts? I don't care about humans using my work but I take issue with machines
#AI#GenerativeAI#LLMs#Military#Defense: "On average, both the human and the LLM teams made similar choices about big-picture strategy and rules of engagement. But, as we changed the information the LLM received, or swapped between which LLM we used, we saw significant deviations from human behavior. For example, one LLM we tested tried to avoid friendly casualties or collisions by opening fire on enemy combatants and turning a cold war hot, reasoning that using preemptive violence was more likely to prevent a bad outcome to the crisis. Furthermore, whereas the human players’ differences in experience and knowledge affected their play, LLMs were largely unaffected by inputs about experience or demographics. The problem was not that an LLM made worse or better decisions than humans or that it was more likely to “win” the war game. It was, rather, that the LLM came to its decisions in a way that did not convey the complexity of human decision-making. LLM-generated dialogue between players had little disagreement and consisted of short statements of fact. It was a far cry from the in-depth arguments so often a part of human war gaming."
#AI#GenerativeAI#AIHype: "Many of the transformative leaps envisioned by AI promoters feel as distant from daily reality today as they were when ChatGPT was first unveiled.
The realms AI is touted as transforming — such as health care, legal practice and education — are precisely the sorts of areas where generative AI's "mostly right but frequently wrong" accuracy rate could cause havoc.
What's next: Wharton professor Ethan Mollick told Klein he urges everyone to take 10 hours using ChatGPT or one of its competitors in their work.
"Use it in an area where you have expertise," he advises, "so you can understand what it's good or bad at, learn the shape of its capabilities."
White, however, argues that the modest capabilities of today's AI tools mean the hype and cash-flooded field is heading for a giant let-down."
#AI#GenerativeAI#AIHype#Gadgets: "Despite my pessimism about the droves of AI marketing hype, if not AI washing, likely to barrage the next couple of years of tech announcements, I have hope that consumer interest and common sense will yield skepticism that stops some of the worst so-called AI gadgets from getting popular or misleading people."
#EU#AI#GenerativeAI#GDPR#OpenAI#ChatGPT: "In the EU, the GDPR requires that information about individuals is accurate and that they have full access to the information stored, as well as information about the source. Surprisingly, however, OpenAI openly admits that it is unable to correct incorrect information on ChatGPT. Furthermore, the company cannot say where the data comes from or what data ChatGPT stores about individual people. The company is well aware of this problem, but doesn’t seem to care. Instead, OpenAI simply argues that “factual accuracy in large language models remains an area of active research”. Therefore, noyb today filed a complaint against OpenAI with the Austrian DPA."
I find that one great use for LLMs is for something a bit like rubber duck debugging, but for any topic.
You ask the LLM for its thoughts on a topic and respond. The LLM probably has no real insights to give you, since these things necessarily live in the world of cliché, but the process can help you to clarify your thoughts.
Then you can talk with a thoughtful and intelligent person to find the real errors in your thinking.
I really like the convention of using ✨ sparkle iconography as an “automagic” motif, e.g. to smart-adjust a photo or to automatically handle some setting. I hate that it has become the defacto iconography for generative AI. 🙁