- How To Actually AI
- Posts
- 👀 X Using Data to Train AI
Welcome back to another edition How to Actually AI.
Happy Labor day to all the American’s out there. 💪
Here is what we got for you today:
📰 LAST WEEK: OpenAI’s bold target of $1B
📢 BIG NEWS: X Using User Data to Train AI
💾 QUICKBYTES: News roundup of everything AI
📺️ WORTH A WATCH: 5 AI Tool to Automate Your Business
Read time: 3 minutes.
LAST WEEK
Bold Ambition: OpenAI, the parent company of ChatGPT, has set its sights on a bold $1 billion revenue target in the next 12 months.. This news comes amidst the triumph of NVIDIA in the second quarter and Google's expansion in the AI field.
Duet AI for Workspace Apps: Google is making strides with its Duet AI, bringing it to Workspace Apps. However, there's a catch for pro users who will need to pay extra to access its full potential.
Invisible Digital Watermark: Google aims to bring transparency to AI-generated art with its proposal for an invisible digital watermark. This innovative solution could revolutionize the way we authenticate and protect digital art.
Americans Growing Nervous Over AI: According to a recent study conducted by Pew Research, as AI adoption expands, anxiety about its impact on society is on the rise. 72% of Americans express concern about a future where AI systems perform tasks currently done by humans.
📢 BIG NEWS
X Updated ToS, Will Used Posts To Train AI
The social media giant X (formerly Twitter) has recently revised their terms of service to incorporate user posts into AI training. This decision should have sent ripples through the industry, but has surprised no one. 🤣
The company's decision to utilize user-generated content as data for machine learning isn't entirely unprecedented. However, the explicitness of this move raises some eyebrows and poses questions about the future of AI training and user privacy. Users, by agreeing to the updated terms of service, are essentially feeding AI algorithms with their posts, making their contribution to AI training quite personal.
The company maintains this is a necessary step towards improving their AI systems, assuring users that all data used for training are anonymized and no personal information is divulged.
This change allows X to bolster the efficacy of their AI systems, improve content moderation, and give users a more tailored experience. It's a crucial step to let AI understand human language better, grasp context, and interpret nuances.
The three key takeaways from this development are:
Companies are becoming more explicit in how they leverage user data for AI training.
This move could set a new precedent for AI training models, though it also raises privacy concerns.
The user experience stands to benefit from improved AI systems, but at the cost of surrendering more data.