Standford Engineering released today a seminar about Transformers 🚀. The seminar - CS25, is run by Div Garg, Steven Feng, and Rylan Schaeffer and focuses on the following topics:
✅ How transformers work
✅ Types of transformers
✅ Applications of transformers in the fields of ML, NLP, CV, biology, etc.
Please check out @SScottGraham
excellent new article "The Dangers of Ethical AI in Healthcare" just published in Interfaces: Essays and Reviews in Computing and Culture!!!
“We have unprecedented opportunities here but we are also facing a perfect storm of corporate irresponsibility, widespread deployment, lack of adequate regulation and inherent unreliability.” - Gary Marcus (@garymarcus)
Ahh I've been so excited for this paper to come out for ages!! No affiliation, just think it's super cool:
"Collection Space Navigator" for exploring projections of visual art collections
Honestly, when I first saw this, it wasn't the art applications that intrigued me so much as the value it offers for understanding 'slices' through high-dimensional space.
Awesome opportunity for those UK peeps who want to do some #TechForGood! Come work at the heart of gov, applying cutting edge #AI and #machinelearning to something you're passionate about.
“#AI-art generators are trained on enormous datasets, containing millions upon millions of copyrighted images, harvested without their creator’s knowledge, let alone compensation or consent. This is effectively the greatest art heist in history.”
"But this type of tool takes things up a notch by letting you alter the contents — and potentially, the meaning — of a photo in much more significant ways."
"You can design all the neural networks you want, you can get all the researchers involved you want, but without labelers, you have no ChatGPT," [OpenAI contractor Alexej Savreux] added. "You have nothing."
You know that internal #Google memo leaked last week about open #LLMs, here's an example of one of its points. Lots of things happening in the open source #AI model space. I'm seeing something new every day.
“The trick, of course, is that Silicon Valley routinely calls theft “disruption” – and too often gets away with it. We know this move: charge ahead into lawless territory; claim the old rules don’t apply to your new tech; scream that regulation will only help China – all while you get your facts solidly on the ground. By the time we all get over the novelty of these new toys and start taking stock of the social, political and economic wreckage, the tech is already so ubiquitous that the courts and policymakers throw up their hands.
We saw it with Google’s book and art scanning. With Musk’s space colonization. With Uber’s assault on the taxi industry. With Airbnb’s attack on the rental market. With Facebook’s promiscuity with our data. Don’t ask for permission, the disruptors like to say, ask for forgiveness. (And lubricate the asks with generous campaign contributions.)”
“#AI machines aren’t ‘hallucinating’. But their makers are”
If you know anything about how #AI is changing the game for subtitling and dubbing translation, please share links with me below.
I’d love to know more about stuff such as machine translation post-editing for subtitling. I’ve never done it, so it’d be useful to hear about other translators’ experience.