New Review Essay on @lmesseri tremendous new book, ethnography & tech, social hopes, & false dreams of tech solutionism. Also discussing work of Andrew Brock, Zeynep Tufekci & Kelsie Nabben on Black Twitter, Twitter & ethnographies of DAOs.
I was curious if a niche blog post of mine had been slurped up by #ChatGPT so I asked a leading question—what I discovered is much worse. So far, it has told me:
• use apt-get on Endless OS
• preview a Jekyll site locally by opening files w/a web browser (w/o building)
• install several non-existent #Flatpak “packages” & extensions
It feels exactly like chatting w/someone talking out of their ass but trying to sound authoritative. #LLMs need to learn to say, “I don’t know.”
So they try to use machine learning to directly generate movies? Meanwhile as I understand it there are still really tedious tasks in VFX that really could use better automation. Are there any efforts to use AI for better green screen software? Handling motion blur, translucent materials and reflections? Automatically fixing green spill? Wouldn't that be an obvious thing to develop that would be bought like warm bread rolls? (I'm just a curious outsider to that, wondering.) #AI#ML#VFX
😬 Apologies for way too much news on "people using AI for porn" this morning. (although... the identities of everyone buying AI porn accidentally exposed is interesting, LOL)
#TheMetalDogArticleList #BLABBERMOUTH
JUDAS PRIEST's IAN HILL Weighs In On Use Of Artificial Intelligence In Music
In a new interview with Elena Rosberg of Radiocast BG, JUDAS PRIEST bassist Ian Hill was asked how he thinks heavy metal music and the metal community can combat the negative effects of artificial intelligence in music, particularly as it relates to the creative process. Hill responded...
There should be written more about the businesscases Bigtech sees with regard to AI, especially in the consumer market. Functionalities and costs increase but i read very little about how will they get a reward on their investment of billions. In the end we will have to pay, somewhere, somehow.... #AI#businesscase#costs#finance
I can't wait to try it myself 😀 , AI demo's are notoriously unreliable.
"We plan to give access to a new Voice Mode for GPT-4o in alpha to ChatGPT Plus users in the coming weeks. With GPT-4o, using your voice to interact with ChatGPT is much more natural. GPT-4o handles interruptions smoothly, manages group conversations effectively, filters out background noise, and adapts to tone." https://openai.com/index/how-the-voices-for-chatgpt-were-chosen/ #openai#chatgpt#voicemode#ai
In my limited personal experience I am surprised how bad the (free version) Google Gemini model still is, the idea that it will be integrated in all Google services is quite scary... (And I am a heavy user of Google applications and ecosystem, not even a google hater). In my view it's not good enough to integrate it in Google's infrastructure but Google thinks otherwise..
The free GPT-4o is probably too much of a threat. #AI#GoogleGemini #google#ai
I would be pissed with Google’s new fake search if I was WebAIM. It directly sources WebAIM (from an old survey), but it doesn’t link to the WebAIM survey results it cites. Instead it links to BoIA (an #AudioEye#overlay company) and Assistiv Labs.
The option to see web results is buried in the “More” kebab, and even then the link is third from last.
Reminder not to use Google to search (in case you still do).
The vitriol, and - honestly - ignorance around LLM-based "AI" is starting to fill my feeds from normally sane and technologically literate people.
You should be able to see through the hype and misuse. LLMs aren't encyclopedias - they're tools that are able to manipulate data of various sorts in ways that are very similar to how humans do it.
Yes, I compare LLMs to human brains. It's not the same as saying they're conscious (yet) - but the way LLMs work is apparently in many ways similar to how our brains work.
One fascinating insight into that comes from research done on what happens to the ability of LLMs to recall information as they are exposed to large and larger corpuses. Apparently they're better at recalling the early and late information, whilst starting to lose some in the middle.
In human psychology we call that the primacy and recency effect - because our brains do the same.
LLMs are absolutely awesome for a wide variety of tasks (and we have by no means found them all). Every second you spend not understanding this is a second on the way to your own irrelevance (if these tools would aid someone in your chosen area of work) or to become a grumpy old person yelling at clouds.
LLaVA (Large Language-and-Vision Assistant) was updated to version 1.6 in February. I figured it was time to look at how to use it to describe an image in Node.js. LLaVA 1.6 is an advanced vision-language model created for multi-modal tasks, seamlessly integrating visual and textual data. Last month, we looked at how to use the official Ollama JavaScript Library. We are going to use the same library, today.
Basic CLI Example
Let’s start with a CLI app. For this example, I am using my remote Ollama server but if you don’t have one of those, you will want to install Ollama locally and replace const ollama = new Ollama({ host: 'http://100.74.30.25:11434' }); with const ollama = new Ollama({ host: 'http://localhost:11434' });.
To run it, first run npm i ollama and make sure that you have "type": "module" in your package.json. You can run it from the terminal by running node app.js <image filename>. Let’s take a look at the result.
Its ability to describe an image is pretty awesome.
Basic Web Service
So, what if we wanted to run it as a web service? Running Ollama locally is cool and all but it’s cooler if we can integrate it into an app. If you npm install express to install Express, you can run this as a web service.
The web service takes posts to http://localhost:4040/describe-image with a binary body that contains the image that you are trying to get a description of. It then returns a JSON object containing the description.
I guess making money somewhat honestly by having customers that actually pay for a service with at least some guarantees of privacy and safety is not as lucrative as having an open platform network where people are tricked into giving out all their data while they are spied upon for whatever reasons.
Google Gemini now has extensions that can for example use the content of your Gmail inbox, very practical but also very scary from a security/privacy perspective. #googlegemini#AI#extensies#security#privacy
(screenshot in dutch)
#AI#GenerativeAI#AIHype#Media#News#Journalism: "More broadly, across news media coverage of AI in general, reviewing 30 published studies, Saba Rebecca Brause and her coauthors find that, while there are of course exceptions, most research so far find not just a strong increase in the volume of reporting on AI, but also “largely positive evaluations and economic framing” of these technologies.
So, perhaps, as Timit Gebru, founder and executive director of the Distributed Artificial Intelligence Research Institute (DAIR), has written on X: “The same news orgs hype stuff up during ‘AI summers’ without even looking into their archives to see what they wrote decades ago?”
There are some really good reporters doing important work to help people understand AI—as well as plenty of sensationalist coverage focused on killer robots and wild claims about possible future existential risks.
But, more than anything, research on how news media cover AI overall suggests that Gebru is largely right – the coverage tends to be led by industry sources, and often take claims about what the technology can and can’t do, and might be able to do in the future, at face value in ways that contributes to the hype cycle."
#AI#GenerativeAI#OpenAI#ChatGPT: "This contradiction is at the heart of what makes OpenAI profoundly frustrating for those of us who care deeply about ensuring that AI really does go well and benefits humanity. Is OpenAI a buzzy, if midsize tech company that makes a chatty personal assistant, or a trillion-dollar effort to create an AI god?
The company’s leadership says they want to transform the world, that they want to be accountable when they do so, and that they welcome the world’s input into how to do it justly and wisely.
But when there’s real money at stake — and there are astounding sums of real money at stake in the race to dominate AI — it becomes clear that they probably never intended for the world to get all that much input. Their process ensures former employees — those who know the most about what’s happening inside OpenAI — can’t tell the rest of the world what’s going on.
Ci è stata mostrata una #foto di bambini in #armenia che mangiano #ciliege. Si tratta di una creazione in #AI, un filone creato per ottenere viralità. Ne parliamo più approfonditamente
#AI#AIEthics: "Technology is built by humans and controlled by humans, and we cannot talk about technology as an independent agent acting outside of human decisions and accountability–this is true for AI as much as anything else. The integrity that Mann rightly envisions for AI cannot be understood as a property of a model, or of a software system into which a model is integrated. Such integrity can only come via the human choices made, and guardrails adhered to, by those developing and using these systems. This will require changed incentive structures, a massive shift toward democratic governance and decision making, and an understanding that those most likely to be harmed by AI systems are often not ‘users’ of the systems, but subjects of AI’s application ‘on them’ by those who have power over them–from employers, to governments to law enforcement. To truly ensure that AI systems are deployed in ways that have integrity, and uphold a dignified and equitable social order, those subject to AI’s use by powerful actors must have the information, power, and ability to determine what AI systems with ‘integrity’ mean, and the ability to reject or contest their use."
Według Marka Gurmana z Bloomberga, Apple jest gotowe do zaprezentowania szeregu funkcji wykorzystujących generatywną sztuczną inteligencję.
Gurman przedstawia więcej szczegółów na temat tego, czego można się spodziewać po nacisku Apple na AI podczas nadchodzącego WWDC 2024, które rozpocznie się już 10 czerwca.
W ramach zmian firma poprawi możliwości głosowe Siri, nadając jej bardziej konwersacyjny charakter i doda funkcje, które pomogą użytkownikom w codziennym życiu – podejście to Apple ma nazwać „proaktywną inteligencją”.
Obejmie to usługi takie jak automatyczne podsumowywanie powiadomień z iPhone’a, szybkie streszczanie artykułów z wiadomościami i transkrypcję notatek głosowych, a także ulepszanie istniejących funkcji, które automatycznie wypełniają kalendarz i zasugerują aplikacje, których powinniśmy użyć. Pojawią się również pewne ulepszenia w Zdjęciach w postaci edycji opartej na sztucznej inteligencji, ale żadna z tych funkcji nie zrobi wrażenia na osobach, które korzystały ze sztucznej inteligencji w aplikacjach Adobe Inc. przez ostatnie kilka miesięcy.
Gurman dodał, że podczas gdy Apple będzie polegać głównie na przetwarzaniu AI na urządzeniu, firma będzie je również dostarczać za pośrednictwem chmury w centrach danych, które zawierają wysokiej klasy procesory Apple Silicon zaprojektowane dla komputerów Mac (flota Apple M4). Zauważył również, że chatbot podobny do ChatGPT będzie zauważalnie nieobecny w nadchodzących funkcjach AI od Apple.
Mówi się, że kierownictwo Apple przyznało wewnętrznie, że czas „nadrabić zaległości”. To jednak potrwa.