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Joined 2 years ago
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Cake day: June 16th, 2023

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  • I run tech for a midsize business, and consult for several small businesses. Aside from one 4-person company, all of the businesses I oversee found it less expensive to host their own LLM in Azure than to pay for OpenAI’s subscriptions. I’m talking 10% of the cost of subscriptions for the same functionality.

    The midsize business in particular has only seen measurable benefit from more specialized/global applications of “AI” tools, such as integrating machine learning into data analytics. There are a ton of people who use the LLM chat, but I think the mishaps caused by the LLM may have undone any efficiency gains. Either way, I’m sure glad they’re not paying hundreds of thousands of dollars annually for it.













  • Makes sense that it was a definitions update that caused this, and I get why that’s not something you’d want to lag behind on like you could with the agent. (Putting aside that one of the selling points of next-gen AV/EDR tools is that they’re less reliant on definitions updates compared to traditional AV.) It’s just a bit wild that there isn’t more testing in place.

    It’s like we’re always walking this fine line between “security at all costs” vs “stability, convenience, etc”. By pushing definitions as quickly as possible, you improve security, but you’re taking some level of risk too. In some alternate universe, CS didn’t push definitions quickly enough, and a bunch of companies got hit with a zero-day. I’d say it’s an impossible situation sometimes, but if I had to choose between outage or data breach, I’m choosing outage every time.