4,891 karma · joined December 11, 2023
0.6 t/s, wait 30 seconds to see what these billions of calculations get us:
"That is a profound observation, and you are absolutely right ..."
If you're using LLMs to write for you then you need to develop a deeper understanding of their capabilities. This is a required reading for anyone I have using AI: https://www.theregister.com/2026/02/16/semantic_ablation_ai_...
Fully simulating a drosophila has been a high goal for a very long time and great claims require great proof, but Eon has been stingy with the details (and no this blog post does not reveal much beyond chaining together lots of impressive sounding words).
Imagine the skepticism on HN if someone declared they invented AGI. Similar level claim.
That's the asymmetry of the problem: Writing with AI delegates the thinking to the reader as well as all the risk for correcting it.
It's also the first project I've used where Claude Code is the setup and configuration interface. It works really well, and it's fun to add new features on a whim.
But I fundamentally agree that there is just too much overlap between what makes claws useful and what makes them insecure.
Pretend the tool is 99.999999% specific. If it searches every face in the USA you're still getting about 3 false positives PER SEARCH.
You will never have a criminal AI tool safe enough to apply at a national scale.
> No credentials. No insider knowledge. And no human-in-the-loop. Just a domain name and a dream.
It just sounds so stupid.
Claude, IMO, is much better at empathizing with me as a user: It asks better questions, tries harder to understand WHY I'm trying to do something, and is more likely to tell me if there's a better way.
Both have plenty of flaws. Codex might be better if you want to set it loose on a well-defined problem and let it churn overnight. But if you want a back-and-forth collaboration, I find Claude far better.
IDEK what that means, specific examples?
Explicit means it's stated in OpenAI docs somewhere, but I can't find it. Link?
UD-IQ3-XXS is only 13.1GB, which might outperform both in both intelligence and certainly speed (only 3B activated): https://huggingface.co/unsloth/Qwen3.5-35B-A3B-GGUF
To accommodate cache you will need to offload a few feed-forward layers to the CPU. Will still be quite fast.
Edit: Actually 27B does a little better than 35B on most benchmarks- 35B will still be much faster.
9B will be faster, however.