I rarely notice usernames on HN, but after reading this comment it was so easy to guess that the classy contribution on another comment about legal liability was also yours.

And you are right again! The Australian government must compensate OpenAI for having shitty security.

It must be a bliss to transact with you in real life!

Honestly I’d expect my government to secure sensitive data to a higher standard than I’d expect a random company motivated only by profit to. We should have an expectation of both sides to do better. Do you disagree?

You are correct, but the regulatory and liability issue regarding AI is one issue and the government’s liability for having insecure systems is another.

They are independent concerns. A discussion about the first issue is not enhanced by the interjection of the second.

You can discuss two things at once. Especially if they are inherently related. Australia fining OpenAI a large amount of money and using that to audit and harden their systems would be a good outcome here, for example.

Too many people are making inane fantasy level comments that Sam and his employees should be jailed, and conspiracy theories that he did it on purpose to get regulated because he’s out of runway. That’s boring and repeated ad nauseam every time the topic comes up.

I agree, but switching to a different subject doesn’t strengthen that argument.

Can you elaborate a bit on the semlabel? And/or share a repo?

Yes, it is at https://github.com/horiacristescu/semlabel

Thank you. Super impressive.

Did I read this right?

This repo is really outperforming the OG Jev in the public benchmarks?

There was no time to benchmaxx. How is this possible?

I can’t tolerate anything other than Pi anymore.

Why? - session management - accurate (unlike OpenCode last time I tried), tree structured (allows me to jump back and forth to manage context growth), compaction is just another message and pi manages which subtree to send to the model - fast - super customizable - no hidden stuff - sane defaults - it is a shame that this is a differentiator.

Man, it shows that someone was getting paid by the word.

Thank you!

I suppose GPT models throw shade when your input is less favorable to Codex:

“On the surface, Unreal Agent achieves the same outcomes with fewer model turns and fewer input tokens.”

(Emphasis mine)

The frontier labs have dominant market share and distribution. They also have the majority of the compute.

They can make a lot of money by cutting down on R&D and inference costs until competitors can catch up.

They can also buy competitors that catch up.

And if they can get the government to regulate in the meantime, it’s party time for the monopolists!

30kb model is super impressive.

What’s the model architecture?

The title is the conditional that underpins the claim.

Do you read our AI output end-to-end and decide that it’s the accurate content communicated concisely? If yes, this is not an issue.

If you are sending people generated text you haven’t read, how do you know what you sent doesn’t fall in the category of writing the author describes?

You can just turn on E2E encryption for iCloud Photos