Group items matching

in title, tags, annotations or url

"The children's safety codes, introduced as part of the Online Safety Act, let Ofcom set new, tight rules for internet companies and how they can interact with children. It calls on services to make their platforms child-safe by default or implement robust age checks to identify children and give them safer versions of the experience. For those sites with age checks, Ofcom will require algorithmic curation to be tweaked to limit the risks to younger users. That would require sites such as Instagram and TikTok to ensure the suggested posts and "for you" pages explicitly take account of the age of children."

"For Bejar, the controls in place on social networks like Instagram are not sufficient because they turn "inherently human interactions into an objective assessment". There are too few options for users to hide content or flag comments and DMs and explain why it made them uncomfortable even if it doesn't violate Meta's specific policies, he said. "There's a question of how clearly bad does the content need to be to warrant removal? And that means you set a line somewhere and have to define a criterion where either a computer system or a human can evaluate a piece of content," Bejar said."

"Ultimately, he suggests, each user would have their own "large language model" (LLM), the underlying technology of services such as ChatGPT, which would be trained on their own speech and behaviour patterns, to let them generate extremely personalised responses to queries and requests. Such systems could be a natural progression from AI tools that already exist today. Services such as Gmail can summarise and suggest replies to emails based on previous messages, while Microsoft Teams will transcribe and summarise video conferences, automatically generating a to-do list from the contents."

"Your email inbox is full of spam. Your letterbox is full of junk mail. Now, your web browser has its own affliction: slop. "Slop" is what you get when you shove artificial intelligence-generated material up on the web for anyone to view. Unlike a chatbot, the slop isn't interactive, and is rarely intended to actually answer readers' questions or serve their needs. Instead, it functions mostly to create the appearance of human-made content, benefit from advertising revenue and steer search engine attention towards other sites."

"It's an interesting question. I'm almost not sure how to answer it, because there is no thinking happening on the part of an LLM. A large language model takes the prompts and the text that you give it and tries to come up with something that is responsive and useful in relation to that text. And what's interesting is that certain people - I'm thinking of Mark Andreessen most prominently - have talked about how amazing this is conceptually from an education perspective, because with LLMs you will have this infinitely patient teacher. But that's actually not what you want from a teacher. You want, in some sense, an impatient teacher who's going to push your thinking, who's going to try to understand what you're bringing to any task or educational experience, lift up the strengths that you have, and then work on building your knowledge in areas where you don't yet have it. I don't think LLMs are capable of doing any of that. As you say, there's no real thinking going on. It's just a prediction machine. There's an interaction, I guess, but it's an illusion. Is that the word you would use? Yes. It's the illusion of a conversation. "

SilliBilliBoi - this might open up your article and portfolio piece a little more...

GREAT website with lots of debate re Privacy issues...

"Computers once performed facial recognition rather imprecisely, by identifying people's facial features and measuring the distances among them - a crude method that did not reliably result in matches. But recently, the technology has improved significantly, because of advances in artificial intelligence. A.I. software can analyze countless photos of people's faces and learn to make impressive predictions about which images are of the same person; the more faces it inspects, the better it gets. Clearview is deploying this approach using billions of photos from the public internet. By testing legal and ethical limits around the collection and use of those images, it has become the front-runner in the field. "

"Getty points to images produced by Stable Diffusion which contain its copyright watermark, suggesting that Stable Diffusion has ingested and is reproducing copyrighted material without permission (Stability AI has not yet commented publicly on the lawsuit). The same level of evidence is harder to come by when examining ChatGPT's text output, but there is no doubt that it has been trained on copyrighted material. OpenAI will be hoping that its text generation is covered by "fair use", a provision in copyright law that allows limited use of copyrighted material for "transformative" purposes. That idea will probably one day be tested in court."

"Doctors' appointments, job applications, personal banking, key services and more are today mostly managed online. While the UK government details its plans for a digital future to transform public services, one in seven Britons are forced to live without the internet. This film is voiced by three individuals experiencing digital exclusion, revealing how varied and complex the repercussions can be. Through enacted scenes from their lives, it makes visible the expanding digital divide - an issue too often unseen or ignored by policy makers, businesses and society at large. "