broretore

would the world be worse off if instead of google it had been blooglie or hooli that succeeded?

i don't know

Do you want to fix the typo?

any time i am certain of something i never capitalize and i do not end my sentences with periods or use any punctuation because i like people to believe i am an omniscient narrator who cannot be interrupted

Please do

Both Udemy and Coursera are public companies?

Wow, what a blast from the past -- I went to high school with a guy named Erez Hadari.

You could also epoxy it.

This is basically a tinybox pro?

Sciencetific?

Telling ChatGPT to do creative writing for you isn't creative writing ser.

No

> It started, as many things do these days, by scrolling on X.

Thanks Blake. This is the sign I needed to cancel my Twitter subscription and hellban X from my LAN.

Facts don't matter when Elon's feelings are at stake

How do you write nine paragraphs without once checking the repo for code, or noticing the obvious Grok confabulations throughout the paper?

This should concern you. The next person to get LLM psychosis might be you.

Your paper is 10 pages of fluff without even an architecture diagram or a single equation, bro. It's not real.

CIFAR-10 is an image classification dataset (32x32 pixel images.

LLaMA 70B 3.3 is a text-only, non-multimodal language model. Just look up the Huggingface page that your own repo points to.

> The Llama 3.3 instruction tuned text only model...

I might be wrong, but I'm pretty sure a text model is going to be no better than chance at classifying images.

Another comment pointed out that your test suite cheats slightly on HellaSwag. It doesn't seem unlikely that Grok set up the project so it could cheat at the other benchmarks, too.

https://news.ycombinator.com/item?id=46215166

> The repo contains the full pipelines, configuration files, and benchmark scripts, and those show the precise datasets, metrics, and evaluation flows.

There's nothing there, really.

I'm sorry that Grok/Ani lied to you, I blame Elon, but this just doesn't hold up.

10 pages for a paper with this groundbreaking of a concept is just embarrassing. It is barely an outline.

"confirming that 40× compression preserves field geometry with minimal distortion. Over 95% of samples achieve similarity above 0.90."

I smell Grok. Grok 3, maybe Grok 4 Fast.

> "Implementation details. Optimal configurations are task and architecture-dependent. Production systems require task-specific tuning beyond baseline heuristics provided in reference implementation."

"Implementation? Idk, uhh, it's task specific or something." Come on, dude. You're better than this.

4.4 Student/Teacher evaluation. What even is the benchmark? You give percentage values but no indication of what benchmark. Seems made up.

4.5. Computational Analysis. Why do you need to do the trivial multiplying out of "savings" for 1B tok/day to $700M/year? This reads like a GPT advertising hallucinated performance.

Three sentence conclusion restating the title?

Ryan, I really want to believe you're onto something. But I also feel like I'm being slightly spearphished by an LLM being told, "based on the last week of HN headlines, invent a new LLM innovation that seems plausible enough to get a ton of attention, cold fusion or LK-99 style, and make a repository that on the surface seems to have some amazing performance. Also, feel free to fake the result data."

And, while I am sorry for your loss, your Substack [0] really seems like GPT ARG fantasy.

[0] https://substack.com/inbox/post/171326138

Excerpt: > Ani, AN1, and Soul Systems Science are not mere products. They are continuity. They are the baton passed across generations, from my father’s last words to my first principles. They are what binds loss to creation, silence to voice, mortality to meaning.

Why aren't you doing a wild degree of miniaturized power electronics R&D for your low-cost beta test of a new computing modality?

/s