“Those are four essential characteristics of human intelligence — also animal intelligence, for that matter — that current #AI systems can’t do,” he said.
#AI#GenerativeAI#LLMs#Languages: "Recently, Bonaventure Dossou learned of an alarming tendency in a popular AI model. The program described Fon—a language spoken by Dossou’s mother and millions of others in Benin and neighboring countries—as “a fictional language.”
This result, which I replicated, is not unusual. Dossou is accustomed to the feeling that his culture is unseen by technology that so easily serves other people. He grew up with no Wikipedia pages in Fon, and no translation programs to help him communicate with his mother in French, in which he is more fluent. “When we have a technology that treats something as simple and fundamental as our name as an error, it robs us of our personhood,” Dossou told me.
The rise of the internet, alongside decades of American hegemony, made English into a common tongue for business, politics, science, and entertainment. More than half of all websites are in English, yet more than 80 percent of people in the world don’t speak the language. Even basic aspects of digital life—searching with Google, talking to Siri, relying on autocorrect, simply typing on a smartphone—have long been closed off to much of the world. And now the generative-AI boom, despite promises to bridge languages and cultures, may only further entrench the dominance of English in life on and off the web."
Have people tried to link the output of #llms to devices that take actions in the real world? What if one creates a way for an #llm to make pull requests on #github or #gitlab ? The #ai could spend day and night browsing through #foss to improve them. That would be as much exciting as creepy!
Whenever I see OpenAI's Sam Altman with his pseudo-innocent glance, he always reminds me of Carter Burke from Aliens (1986), who deceived the entire spaceship crew in favor of his corporation, with the aim of getting rich by weaponizing a newly discovered intelligent lifeform.
Google touting that its latest #AI models and services can be grounded through its search results isn't the boast it thinks it is, especially considering the quality of its results lately. Has anybody considered the feedback loop of AI results being ranked hire and then being used to ground Gemini Pro?
Two articles I saved about a year ago, maybe worth reflecting now when it comes to what #LLMs can achieve and cannot achieve, have achieved and been used for in the past year, and how the applications scape has been developing:
#llms are the ultimate answer to the internet #google created: they avoid ads, ignore superfluous information of cooking recipe websites, and create a layer of privacy between you and the #internet. Well, at least as long as you can trust the provider of the LLM...
Content providers will feel that this hurts their pocket. It essentially gives everyone on the internet an ad blocker and this may lead to more paywalls. Will #ai providers start to buy information from these content providers? Or will they sell opportunities to place information?
“AI” as currently hyped is giant billion dollar companies blatantly stealing content, disregarding licenses, deceiving about capabilities, and burning the planet in the process.
It is the largest theft of intellectual property in the history of humankind, and these companies are knowingly and willing ignoring the licenses, terms of service, and laws that us lowly individuals are beholden to.
years ago, the “language of machine learning” was split between #R and #python but it’s been steadily shifting toward python. At this point, after all the #LLM developments, i think it’s clearly python. i don’t see much R in the LLM world at all. And increasingly, i’m seeing #rust being the “systems language of #ML” #rustlang#LLMs
Large language models can do jaw-dropping things. But nobody knows exactly why.
And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.
I remember the days of email before spam, phishing or any of that.
Decades of those and we have accepted them, most never knew a time without them.
#AI isn't just going to automate spam-like activity, make better malware etc.
AI is going to be much, much worse, creating indistinguishable human like personas that control rather than leave specific traps. And they will be much harder to spot than spam.
The internet of shit right now is nothing to what's coming, and making it is legal. #LLMs
#AI#GenerativeAI#LLMs#Automation#Hallucinations: "The only reason bosses want to buy robots is to fire humans and lower their costs. That's why "AI art" is such a pisser. There are plenty of harmless ways to automate art production with software – everything from a "healing brush" in Photoshop to deepfake tools that let a video-editor alter the eye-lines of all the extras in a scene to shift the focus. A graphic novelist who models a room in The Sims and then moves the camera around to get traceable geometry for different angles is a centaur – they are genuinely offloading some finicky drudgework onto a robot that is perfectly attentive and vigilant.
But the pitch from "AI art" companies is "fire your graphic artists and replace them with botshit." They're pitching a world where the robots get to do all the creative stuff (badly) and humans have to work at a robotic pace, with robotic vigilance, in order to catch the mistakes that the robots make at superhuman speed.
#LLMs, even generative LLMs, doesn’t create new things. It just remixes at a phenomenal rate. High-output remixing tends to produce low-quality output, with occasional gems. So on net, they increase the ratio of low-quality garbage to gems. That’s all they can do. And that just gums up the works of, well, everything.
Generative AI, in its current trajectory, cannot be anything but a net-negative for society. But it is a great grift to rip off investors.
I love how OpenAI's image description feature pretends to pat itself on the back when describing an image after telling me that part of an image is not clear so no text is visible. My system prompt specifically instructs it to not make things up when something isn't clear.
#AI#GenerativeAI#USA#Misinformation#ChatGPT#LLMs: "The Pew Research Center—which did similar probes during the rise of the internet, social media, and mobile devices—released a study of how ChatGPT was being used, regarded, and trusted. The sample was taken between February 7 and 11 of this year.
Some of the numbers at first seem to indicate that the LLM controversy might be a parochial disagreement that most people don’t care about. A third of Americans haven’t heard of ChatGPT. Just under a quarter have used it. Oh, and for all the panic about how AI is going to flood the public square with misinformation about the 2024 election? So far, only 2 percent of Americans have used ChatGPT to get information about the presidential election season already underway.
More broadly, though, data from the survey indicates that we’re seeing a powerful technology whose rise is just beginning. If you accept Pew’s sample as indicative of all Americans, millions of people are indeed familiar with ChatGPT. And one thing in particular stands out: While 17 percent of respondents said they have used it for entertainment and an identical number says they’ve tried it to learn something new, a full 20 percent of adults say that they have used ChatGPT for work. That’s up dramatically from the 12 percent who responded affirmatively when the same question was asked six months earlier—a rise of two-thirds." https://link.wired.com/view/5fda497df526221fe830f4d4kr4to.j4/3764bd02
This one is sooo good. I recommend this to anyone playing with #AI to understand the biases and the complexities. Oh and the discussion of alt text is amazing.
Inside LAION-5B, an AI training dataset of 5B+ images that has been unavailable for download after researchers found 3,000+ instances of #CSAM in December 2023.