Breaking news: The letter that I mentioned earlier today is now public. It calls for a 6 month moratorium on training systems that are “more powerful than GPT-4”. A lot of notable people signed. I joined in.
I had no hand in drafting it, and there are things to fuss over (e.g., what exactly counts as more powerful than GPT-4? and how would we know, given that no details of GPT-4’s architecture or training set have been published?)—but the spirit of the letter is one that I support: until we get a better handle on the risks and benefits, we should proceed with caution.
It will be very interesting to see what happens next. Read More
Daily Archives: March 29, 2023
Microsoft’s latest use for GPT4: Stopping hackers
The tech giant unveiled new cybersecurity software, escalating the arms race between defenders and hackers
Microsoft’s rapid campaign to integrate new artificial intelligence technology into its broad range of products continued Tuesday as the tech giant announced a new cybersecurity “co-pilot” meant to help companies track and defend against hacking attempts, upping the ante in the never-ending arms race between hackers and the cybersecurity professionals trying to keep them at bay.
It’s the latest salvo in Microsoft’s battle with Google and other tech companies to dominate the fast-growing field of “generative” AI, though it’s still unclear whether the flurry of product launches, demos and proclamations from executives will change the tech industry as dramatically as leaders are predicting. Read More
Defensibility in the Age of AI
Tl;dr: Companies with technology that allows them to uniquely generate the data needed to train and fine-tune models are well positioned to create enduring value in the age of AI. The best AI companies may be those building in atoms and not just bits.
The pace of development in AI has given many the feeling that the ground is shifting under their feet. While incredibly exciting, this has led to a fair amount of anxiety among entrepreneurs who are wondering if there’s any true defensibility in what they’re building. A battle tested strategy in startups is to build a product that’s at least 10x better, 10x cheaper, or 10x easier than what exists while you march toward a long-term moat. But given how quickly AI development is advancing, a 10x product of last month may be obsolete this month. The fear is real. Read More
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