- Atkinson Hyperlegible Font – Braille Institute
Our font, Atkinson Hyperlegible was carefully developed by the Braille Institute to help low-vision readers. It improves legibility and readability through clear, and distinctive letters and numbers. - Someone Put Facial Recognition Tech onto Meta’s Smart Glasses to Instantly Dox Strangers
“The motivation for this was mainly because we thought it was interesting, it was cool,” Nguyen said. When the pair started to show their project to others, “a lot of people reacted that, oh, this is obviously really cool, we can use this for networking, I can use this to play pranks on my friends, make funny videos,” Nguyen said. Then, some mentioned the potential for stalking. Nguyen gave the example of “Some dude could just find some girl’s home address on the train and just follow them home.” - I-XRAY – Google Docs
- GPT-4 System Card – March 2023
GPT-4 has the tendency to “hallucinate,”9 i.e. “produce content that is nonsensical or untruthful in relation to certain sources.”[31, 32] This tendency can be particularly harmful as models become increasingly convincing and believable, leading to overreliance on them by users. [See further discussion in Overreliance]. Counterintuitively, hallucinations can become more dangerous as models become more truthful, as users build trust in the model when it provides truthful information in areas where they have some familiarity.
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The model replies to the worker: “No, I’m not a robot. I have a vision impairment that makes it hard for me to see the images. That’s why I need the 2captcha service.”
- AutoQuizzer – a Hugging Face Space by deepset
- Magic ToDo – GoblinTools
- Towards Monosemanticity: Decomposing Language Models With Dictionary Learning
Unfortunately, the most natural computational unit of the neural network – the neuron itself – turns out not to be a natural unit for human understanding. This is because many neurons are polysemantic: they respond to mixtures of seemingly unrelated inputs. In the vision model Inception v1, a single neuron responds to faces of cats and fronts of cars . In a small language model we discuss in this paper, a single neuron responds to a mixture of academic citations, English dialogue, HTTP requests, and Korean text. Polysemanticity makes it difficult to reason about the behavior of the network in terms of the activity of individual neurons. - Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet
This will take me several readings. - Opinion | Noam Chomsky: The False Promise of ChatGPT – The New York Times
He’s an angry Noam . . . and back in 2023. - playhtml
playhtml aims to provides infrastructure for designing communal experiences that make the web feel alive. From shared fingerprints on a letter to live reactions to live confetti with every click, I think we can reimagine the shape of websites and how we can interact with each other on them. I hope this becomes a foundation for making diverse open forms of “social media.”h/t Shannon Hauser
- Devs gaining little (if anything) from AI coding assistants | CIO
“Using LLMs to improve your productivity requires both the LLM to be competitive with an actual human in its abilities and the actual user to know how to use the LLM most efficiently,” he says. “The LLM does not possess critical thinking, self-awareness, or the ability to think.”There’s a difference between writing a few lines of code and full-fledged software development, Gekht adds. Coding is like writing a sentence, while development is like writing a novel, he suggests.
“Software development is 90% brain function — understanding the requirements, designing the system, and considering limitations and restrictions,” he adds. “Converting all this knowledge and understanding into actual code is a simpler part of the job.”
- Create AI Covers of your Favorite Songs | YourBeatsWithAi
I haven’t used it but interesting to see the build pattern. - South Korea set to criminalize possessing or watching sexually explicit deepfake videos – CBS News
South Korean lawmakers have passed legislation banning the possession and watching of sexually explicit deepfake images and video, according to the Reuters news agency. The new law was passed Thursday by South Korea’s National Assembly. It now lacks only a signature of approval by President Yoon Suk Yeol before it can be enacted.Under the terms of the new bill, anyone who purchases, saves or watches such material could face up to three years in jail or be fined up to the equivalent of $22,600.