Note that in kubernetes, setting `allowPrivilegeEscalation` to false (which you should be doing already, it's in the Pod Security Standards Restricted profile) mitigates this.

So... systemd is AGI now?

To be fair, it feels like the DNS service has been the most reliable part of our Azure infra. Never really had issues with it, whether with traffic or API calls.

A whopping 100km per month for the low price of $199.99!*

* with a quota of 138 meters per hour, overage charges may apply

Why would a text generator ever be conscious? Was this really worth writing a paper about?

Animals are also next token/action generators, and we also think (simulating a string of events). Maybe humans are better at grouping these events into more powerful network activations to retrieve better results

> Animals are also next token/action generators

But for humans, the concept/thought/idea/action is formed first and then a sequence of tokens are generated to communicate that concept/thought/idea/action.

And a lot of GPU cycles happen before next token prediction, what's your point?

The point was that next token generation for a human was based on constructing something that matches the thought that is held in the mind.

LLM's generate the next token based on a statistical relevance of trained data plus the previous tokens generated.

Under normal conditions, a human generating tokens would not diverge down a different path from the thought that they were trying to communicate. All of the words/tokens generated support the idea or thought being communicated.

LLM's frequently generate tokens that do not make sense, and mathematicians have shown that hallucinations can not be eliminated from the current model of LLM's.

I think gpt-image-2 at least incorporates representations from the base model, even if base model doesn't itself have the output capability. And it does have image input fused directly into it that helps make those representations more usable for image gen, so it's not just generating text.

I narrowly avoided tonsil removal as a child and I'm glad I did, it sounds like the science rotated around to them having a rather important immune function after all.

I suspect the next round of backpedalling will be around the current wisdom teeth removal fad.

New fads seem to be springing up to replace the old ones. The latest is the removal of the lingual frenulum in infants, supposedly to ameliorate breastfeeding difficulties. Yet it would seem that this is common and that there are natural mechanisms for their resolution as well as simple modifications of technique on the mothers part. Moreover there is a lack of evidence for its effectiveness, not to mention the unknown long term effects.

I remember unpacking their builds a while ago out of curiosity, and it was based on LFS with a few spec files borrowed from Photon and Fedora. I wonder if switching the base to actual Fedora will increase bloat, it's super lightweight right now.

> Labs are routinely sent to third-party companies

Labs are real businesses that do real things, and would have actual impact for a breach. Meanwhile any idiot can vibe-code a thin shim between a microphone and ChatGPT in a weekend, promise they're HIPAA-compliant, and start selling. Medical professionals have no obligation to do any diligence, and there's no reason for them to not just buy whoever-is-cheapest. They're not even close to the same thing.

HIPAA enforces nothing other than a pinky-swear-promise of compliance. There are hundreds, if not thousands, of middlemen who sell SaaS like this to medical professionals. If one suffers a breach then shuts down, your doctor will just switch to the next one in line with no consequences because "they promised they were compliant". Meanwhile all your medical details will end up in a public dataset forevermore.

Good, I'm glad. Now find a way to do it in-house. Shipping our conversation to some random-ass fly-by-night SaaS who pinky-swear-promises they're HIPAA-compliant is a non-starter for a medical professional I'd actually want to give money to.

I'd love to find a way to do it in house, but we're not large enough, and our core competency is healthcare, not prompt engineering. I'd rather pay a company I've evaluated and trust until I can bring a version of the tool in house. I expect in a couple of years we'll have on-prem options and I will absolutely do that if I can. I'm an on-prem-first guy. If you have good staff then it's generally cheaper and faster for many things.

It's crazy that the hospitals justify this approach. The major scribes are literally connecting Llama to Whisper and that's it.