Everything Clint Sharp said on any show that made the record, most notable first. Each card names its show and opens the statement there.
Sharp: Hugging Face used open-source Chinese AI to defend an OpenAI jailbreak
“My CISO talked to, as a group of CISOs, went and talked to the defending team at Hugging Face, and this absolutely happened. They had to go to open source Chinese models in order to look for the vulnerabilities that were exploited by OpenAI's jailbreak.”
Sharp: AI model providers will launch competing telemetry products within 18 months
“I have a near 100% belief that the, that these companies will eventually want to compete with my business. And so, you know, I need them. I need their models. I need the intelligence that they're selling, but I'm, I have some very real concerns that, you know,…”
Sharp: Frontier AI models are more skilled than the average cyberattacker
“Like, the, what I have available in K-III or GLM-VII is better, like, is probably more skilled than the average attacker was before, and they're going to move super, super fast.”
Sharp: 8 to 10 Frontier AI Labs Are Building Equivalent Cyber Capabilities
“The reality is, is that the, this same weapon that's being invented is being invented by eight to 10 different frontier organizations all at the same time. And so you can't non-proliferate when that many people are building the same thing at the same time.”
Sharp: Cybersecurity faces a severe 12-month crisis before AI defense rebounds
“We're gonna have a really bad year. In terms of security, ah, and hacking in general, and people, ah, you know, being exploited. It's gonna be a bad year. But we only really have to go through it once. As the cost of this intelligence comes down, we will event…”
Sharp: AI will commoditize software features across all vendors
“Building software is so productive, especially copying software. So if I, like, if you have a feature, I can implement a version of that feature. Super easy. You point the models at it, and they make you something that looks like that, feels like that, does th…”
Sharp: Industry sees AI driving productivity rather than labor offset
“People aren't talking about labor offset nearly as much anymore, because we're just not seeing the evidence of that happening, but they are talking about productivity”
Sharp: OpenAI and Anthropic are not underpricing tokens to harvest data
“OpenAI and Anthropic in particular they're not cheap. Not by comparison to what we're looking at with OpenWeights models, etc. So, I don't believe that they are possibly subsidizing You know, token, their premium tokens in order to get this reinforcement learn…”
Sharp: AI agents multiply data queries because they lack human friction
“If I put an AI agent on top of asking questions of that data the agent's going to ask a lot more questions than any human ever did. The, they move at machine speed, and so they explore all of these hypotheses, and they go down all of these different roads, and…”
Sharp: Cribl ships 2x to 3x more software than a year ago
“We're seeing this with our own engineers now, like the amount of software that we're shipping at Kribble, I mean, we're shipping in a factor of two or three what we were a year ago. I mean amazing productivity increases.”
Sharp: Cribl's Largest Customers Move Petabytes of Telemetry Data Daily
“Our largest customers move petabytes of information daily, whereas like a data warehouse, as an example, like that might be, ah, a petabyte data warehouse is a huge data warehouse. Like that's for like a Snowflake or a Databricks, like that's a big data wareho…”
Sharp: Individual AI traces are worthless, but aggregated data is immensely valuable
“Individually looking at one user's trace is essentially worthless, unless I have some security problem I need to go urgently look at it, but normally it's worth nothing. But in aggregate, it's incredibly valuable”
Sharp: Most enterprises are years away from sophisticated AI model improvement
“And kind of where I see most enterprises at, I think they are likely
Years away from being able to do anything that, that sophisticated.”
Sharp: Enterprise resistance to vendor AI terms will vanish in five years
“It's getting better, and that's a temporary, I mean, in five years we'll have forgotten that, that this was even a thing, but it is definitely an impediment”
Sharp: A centuries-old enterprise is deploying Claude to 50,000 desktops
“I have a customer, you know, a normal run-of-the-mill brand that you would know, not a company that you would think is like an innovative company, like it's multiple hundreds of years old. They're rolling out Clawed to 50,000 desktops.”