Key Takeaways (TL;DR): OpenAI has resumed training its AI models, but now without direct internet access — the neural networks work with an offline copy of the web. This enhances security and data control. A free auto-updating subscription is available at /sub/happ/for-russia, and a private anti-DPI multi-key with white-list bypass is available in the Telegram bot @yavpn_robot.
OpenAI has restarted the training process for its models, but with a significant change: the neural networks no longer have direct internet access. As reported by Kod Durova, during training, the models now work with an offline copy of the web — a pre-prepared snapshot of data that does not update in real time.
Why This Matters
Previously, AI could access the internet during training, providing fresh information but also introducing risks: the model could pick up unverified data, leaks, or even malicious content. The new approach isolates the training process, making it safer and more predictable.
How It Works Under the Hood
Technically, this resembles working with a frozen data dump — the company collects a dataset, cleans it, and locks it. The model cannot go beyond this dataset, eliminating external influences. This is especially important for large language models that are sensitive to input data quality.
What This Means for Users
For regular users of ChatGPT and other OpenAI services, the changes are not yet noticeable — they only affect the internal training phase. However, in the long run, this could improve model stability and security, reducing the likelihood of unexpected hallucinations or data leaks.
Practical Takeaways
If you are a developer or researcher working with AI, keep in mind that future OpenAI models will be trained on more controlled data. This may affect their behavior in specific tasks. For everyday use, no changes are needed.