I suspect this comes with the territory of enshittification. As an industry we're trying to wring every last dollar from every last eyeball and we've discovered that building secure systems doesn't actually move the needle very much.
Yeah. That's a huge part of my point.
They talk a lot about how security-focused they are, and how dangerous these tools that they make and provide are if they aren't secure... but they've been shipping embarassingly insecure systems since the OG ChatGPT. I'm pretty sure network-accessible command injection that's relatively simple to execute automatically gives you like a 10 CVSS score.
These companies are fundamentally not serious about security.
Of course.
I wonder how we managed way back in the day to produce systems that can handle untrusted inputs and reliably instruct a dumb-as-bricks CPU what to do based on those inputs. Must have been black magic lost to the mists of time.
We have even observed that the most effective LLM usage is when paired with an expert in charge of the goals. Dark factory and other automated harnesses (specs engineering and what not) seem to be a dead end. The most impactful approach to this date is an interactive conversation as a succession of small and verifiable tasks.
The absolute most I've seen from you in response to an extensive teardown of your argument, supporting evidence, and subsequent conversational judo was a «Wow. That was well phrased.» and no subsequent change in your publicly-expressed opinions.
I'd do more than gesture at the relevant lesson taught to us by Google Fiber, Tesla, SpaceX, etc., but you'd not be publicly moved, so it's a waste of time.
Justify that.
Also, which "extensive teardown" are you talking about there?
I haven't bothered to keep a detailed dossier, [0] and I CBA to go back through a year or two's worth of conversation between you and other folks to synthesize one.
You're someone who's well-regarded, which is why I did a year or two of careful, open-minded observation before I came to my conclusion.
[0] Don't you think it'd be weird if I had kept one? Who the hell does that?
The current approach is to use delimiters that are special tokens that can't be represented in regular text: https://github.com/openai/harmony/blob/main/docs/format.md#s...
Then you train your model to take those tokens into account.
Which sounds promising... until you see results like this one: https://arxiv.org/abs/2603.12277
> We trace prompt injection to role confusion: models perceive the source of text from how it sounds, not its labeled role. A command hidden in a webpage hijacks an agent simply because it sounds like <user> text, despite its <tool> label
Yeah...a "dumb as bricks CPU", which is obviously something frontier llms are demonstrably not. Like, you're not making any sense here. None of the things that make this possible with CPUs is remotely relevant here, and the fact that you don't seem to understand this but act so smug is strange.
Just as the immense amount of scaffolding around the dumb-as-bricks CPU enables extremely sophisticated and useful things to be done with that pile of fused sand and copper, the immense amount of scaffolding around the dumb-as-bricks LLM enables very sophisticated and useful things to be done with that pile of linear algebra.
Don't confuse the infrastructure that makes the stupid bit in the middle actually useful with the stupid bit in the middle.
The only one confused here is you, and you've still not managed to tell us in an actionable way how exactly CPU scaffolding is relevant here. Tell us, if it's so easy, or make your millions selling it. We're all waiting.
I'll give you a hint. CPUs never had to interpret the meaning of arbitrary content in order to do their job, and LLMs do.
I agree that without the LLM, the system around it is useless. I also agree that without the CPU, the system around that is useless.
> LLMs are not the "stupid bit in the middle."
Both a model and a CPU without their scaffolding are incredibly useless. You don't even get I/O! If you can't get data out of or into the model or CPU, what use is it?