Disney is updating its Disability Access program because they say it is being abused. Their solution? You must get prior approval by using Disney's virtual video chat system to speak with a member of the accessibility team.
Many autistics can’t use video chat because it causes serious anxiety. You would think their “accessibility team” would know that.
Nope.
I think there's some commentary on the relationship between #infosec and the whole "why do my eyes hurt" google search memes
It's easy to laugh at people who clearly looked at the sun without eye protection
HOWEVER, there were a lot of fake eclipse glasses for sale before the eclipse. My wife bought two boxes of glasses (we gave a lot away), upon testing, one box was fake so they went in the trash. Had we used these, our eyes would also hurt
This is how we tend to treat people in #infosec. Users are so dumb, they click links, and install malware, and buy gift cards ... SO STUPID
But it's not that simple. A person was mislead and got hurt. Then we laugh at them. For fake internet points
Hi everyone, I have developed a free and open source podcast app, called Anytime Podcast Player, which is available for iOS and Android. I've been working on improving accessibility within the app and particularly the screen reader support, but I know there is more improvements to be made and I was recommended this forum - thank you Robert. I would be very grateful for any feedback, tips or suggestions that can help me improve the accessibility in Anytime and make it a better app if anyone would like to try it.
IRC: probably works fine with clients and servers from 20+ years ago
Discord: needs to install 15 updates because I haven't launched it since yesterday
Oh the idiocy!
Excerpt from a #Mashable article linked below:
Let's say someone owns the domain name "NetfliTwitter.com." Why would they own that domain name? Because if X is automatically changing anything that includes "Twitter.com" to "X.com," then that means posting "NetfliTwitter.com" on X would make it appear in posts as "Netflix.com," the popular movie streaming service. And if a user clicked the linked "Netflix.com" text that appears in that post, it would really take them to "NetfliTwitter.com." Because while X is changing the text that the user wrote, the URL it links and directs to remains the same as the user posted.
Source: https://mashable.com/article/twitter-dot-com-posts-change-to-x-dot-com-ios
Lots of things happening in the AI/LLM space that could have implications for #accessibility
Ferret-UI from Apple:
https://arxiv.org/abs/2404.05719
ScreenAI from Google
https://research.google/blog/screenai-a-visual-language-model-for-ui-and-visually-situated-language-understanding/
Recent advancements in multimodal large language models (MLLMs) have been noteworthy, yet, these general-domain MLLMs often fall short in their ability to comprehend and interact effectively with user interface (UI) screens. In this paper, we present Ferret-UI, a new MLLM tailored for enhanced understanding of mobile UI screens, equipped with referring, grounding, and reasoning capabilities. Given that UI screens typically exhibit a more elongated aspect ratio and contain smaller objects of interest (e.g., icons, texts) than natural images, we incorporate "any resolution" on top of Ferret to magnify details and leverage enhanced visual features. Specifically, each screen is divided into 2 sub-images based on the original aspect ratio (i.e., horizontal division for portrait screens and vertical division for landscape screens). Both sub-images are encoded separately before being sent to LLMs. We meticulously gather training samples from an extensive range of elementary UI tasks, such as icon recognition, find text, and widget listing. These samples are formatted for instruction-following with region annotations to facilitate precise referring and grounding. To augment the model's reasoning ability, we further compile a dataset for advanced tasks, including detailed description, perception/interaction conversations, and function inference. After training on the curated datasets, Ferret-UI exhibits outstanding comprehension of UI screens and the capability to execute open-ended instructions. For model evaluation, we establish a comprehensive benchmark encompassing all the aforementioned tasks. Ferret-UI excels not only beyond most open-source UI MLLMs, but also surpasses GPT-4V on all the elementary UI tasks.