- Openai would have increased both cyber and physical safety
- The Deepseek model could be a distillation of an OpenAi model
- The manufacturer of Chatpt finances already research on IA security
Chatgpt-Maker Openai would have intensified its security operations to combat business spying, in the midst of rumors of foreign companies could turn to the AI giant to draw inspiration.
This decision follows the publication of the Chinese startup Deepseek of a competitive AI model, which uses distillation to copy Openai technology.
Distillation is the place where a third transfers the knowledge of a large complex “teacher” model to a smaller and more efficient “student” model, allowing the third party to create a smaller model with an improved speed of inference.
OPENAI stimulates protection against rival companies
OPENAI would have introduced new policies to restrict employees access to sensitive projects and discussions, similar to the way it has managed the development of the O1 model – according to a Techcrunch Report, only pre-approved staff could discuss the O1 model in shared office areas.
In addition, owner technologies are now kept on offline systems to prevent the chances of violation, while offices now use fingerprint analyzes to access physical security. Strict network policies also focus on a refusal approach, with external connections requiring additional approval.
The reports also indicate that Optai has added more staff to strengthen its cybersecurity teams and improve physical security and important sites such as its data centers.
Being at the forefront of AI innovation is accompanied by an additional cost for OPENAI – its cybersecurity subsidy program has financed 28 research initiatives that explore the concepts of rapid injection, generation of secure code and autonomous cybersecurity defenses, the company recognizing that AI has the power to democratize the access of cyber attacks sophisticated.
Techradar Pro Asked Openai for more context surrounding the reports, but the company did not respond to our request.
