Alphabet (GOOG) (GOOGL) has released a new open-source artificial intelligence model called VaultGemma. It has one billion parameters and was designed to put privacy at the center of training. The project was led by Google’s Chief Scientist, Jeff Dean, and it marks the largest open-weight model to date, trained from scratch with privacy safeguards.
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The goal is to prevent systems from exposing sensitive data when responding to prompts. To achieve this, Google used a training process that adds noise to the data and keeps any single record from shaping the model too much. As a result, VaultGemma carries a formal guarantee that private data stays secure. According to Google, the system shows no signs of memorizing training content, which is a key risk in models built on large online data sets.
Performance and Market Context
VaultGemma was trained on the same 13 trillion tokens used for Google’s Gemma 2 model. The set includes web documents, software code, and academic papers. The training was done with more than 2,000 of Google’s TPU chips. Researchers also wrote new rules that predict how much performance can be gained while keeping privacy intact. This helped manage costs and computing time.
In terms of results, VaultGemma does not match the top language models on the market. It scores near systems that were built about five years ago. For example, on one academic test, VaultGemma achieved a score of 26.45, while the Gemma 3 model of the same size scored 38.31. Still, the privacy edge is meant to open new paths. The weights are available now on Hugging Face and Kaggle, along with a technical paper that lays out the details.
For investors, the release shows how Alphabet is looking to set standards in an area under more review from regulators. Privacy protection is now a central part of the policy debate in both the United States and Europe. Although VaultGemma is not currently built for consumer use, it signals how large-scale artificial intelligence may be shaped by data rules and public oversight in the years ahead.
Is GOOG Stock a Buy?
On the Street, Google scores a Strong Buy consensus, with an average GOOG stock price target of $235.42. This implies a 2.47% downside from the current price.
