Synthetic Data Training for AI
This is a OpenAI news story, published by TechCrunch, that relates primarily to Sam Altman news.
OpenAI news
For more OpenAI news, you can click here:
more OpenAI newsSam Altman news
For more Sam Altman news, you can click here:
more Sam Altman newsNews about Ai research
For more Ai research news, you can click here:
more Ai research newsTechCrunch news
For more news from TechCrunch, you can click here:
more news from TechCrunchAbout the Otherweb
Otherweb, Inc is a public benefit corporation, dedicated to improving the quality of news people consume. We are non-partisan, junk-free, and ad-free. We use artificial intelligence (AI) to remove junk from your news feed, and allow you to select the best tech news, business news, entertainment news, and much more. If you like this article about Ai research, you might also like this article about
synthetic training data. We are dedicated to bringing you the highest-quality news, junk-free and ad-free, about your favorite topics. Please come every day to read the latest AI training sets news, Synthetic data generation news, news about Ai research, and other high-quality news about any topic that interests you. We are working hard to create the best news aggregator on the web, and to put you in control of your news feed - whether you choose to read the latest news through our website, our news app, or our daily newsletter - all free!
synthetic dataTechCrunch
•The promise and perils of synthetic data | TechCrunch
82% Informative
Synthetic data is increasingly hard to come by as real data is hard to obtain.
The market for annotated data is worth $838.2 million today — and will be worth $10.34 billion in the next ten years .
The number of people in the “millions” of AI -generated data has ballooned the market for annotation services.
Gartner predicts 60% of the data used for AI and analytics projects this year will be synthetically generated.
Synthetic data generation has become a business in its own right — one that could be worth $2.34 billion by 2030 .
The data used to train these models has biases and limitations, their outputs will be tainted.
Complex models such as OpenAI ’s o1 could produce harder-to-spot hallucinations in their synthetic data.
OpenAI CEO Sam Altman once argued that AI will someday produce synthetic data good enough to effectively train itself.
No major AI lab has released a model trained on synthetic data alone.
At least for the foreseeable future, it seems we’ll need humans in the loop somewhere to make sure a model’s training doesn’t go awry.
VR Score
83
Informative language
82
Neutral language
47
Article tone
informal
Language
English
Language complexity
53
Offensive language
not offensive
Hate speech
not hateful
Attention-grabbing headline
not detected
Known propaganda techniques
not detected
Time-value
long-living
External references
20
Source diversity
18
Affiliate links
no affiliate links