Source: The Verge
Summary
OpenAI has introduced a new family of models that promise improvements in various areas, including cybersecurity. The company claims that the new models will be more secure and reliable than their predecessors. According to OpenAI, the models have been trained on a larger and more diverse dataset, which should enable them to better detect and prevent cyber threats. The company also announced plans to make the models available to developers and researchers.
Our Reading
The launch follows a familiar script.
OpenAI’s new models promise to revolutionize cybersecurity, because that’s exactly what the last version promised. The company claims that the new models are more secure, but we’ve heard that one before. The models have been trained on a larger dataset, which is just a fancy way of saying they’ve been trained on more data. And, of course, they’ll be made available to developers and researchers, because that’s what you do with new models. OpenAI’s latest family of models is just another iteration of the same old song.
Author: Evan Null
Iterative Innovation
It’s not like OpenAI is trying to deceive anyone, but the hype surrounding their new models is nothing new. The company has been making similar claims about their models for years, and it’s starting to feel like Groundhog Day.
More of the Same
The fact that the new models have been trained on a larger dataset is not exactly a revolutionary concept. It’s just a natural progression of the technology, and it’s not like OpenAI is the only company doing this.
Cybersecurity Promises
OpenAI’s claims about the security of their new models are reassuring, but we’ve heard similar promises before. It’s hard to take these claims at face value, especially when the company has a history of overpromising and underdelivering.
Availability
Making the models available to developers and researchers is a good thing, but it’s not like this is a new development. This is just what companies like OpenAI do with their new models.
The Verdict
OpenAI’s new family of models may be an improvement over their predecessors, but it’s not like they’re revolutionizing the field. It’s just another iteration of the same old technology, with the same old promises and hype.
