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Comment by Dathuil | Hacker News Reader

My first deep dive with Claude Code was in Jan of this year. I was working on rebuilding an old city builder game from the the 00s and was trying to parse the original images from the game files. There was plenty if info on the structure online so I said I'd let Claude give it a go. I was running one of the sonnets I think.

After about 5 prompts I had a web interface that I could drag the files into and it presented me a grid of all the images and I was able to export more common sprite sheets. Whole thing took maybe 10-15min and my mind was blown.

I have tried to do the same recently with the newer models and we're still not writing code by the time the older models had finished their work. Something has definetly changed in relation to how much pre work the newer models are doing and maybe it's by design for more consistant results.

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Not commenting on speed, but it seems models and their harnesses have generally gotten much worse over time. My suspicion is that the "Frontier" labs really dont have a strong handle on good quality evals that equal expectations of their users, so they just churn out new models for marketing to sell the shit out of.

Recently cancelled my Codex subscription because I cannot stand 5.6-sol/terra/luna. On top of that, Codex the harness is just so dammed buggy in VS Code.

I just discovered https://tinfoil.sh, which is fully private and attestable AI which works amazing with Kilo Code. Its costing me at API prices but for cheaper to run models which so far feel more consistent then what I get from frontier models.

As someone working in this space: unless they're a very big player with resources to create custom hardware, afaik there's no way to actually prevent the GPU host from seeing the request content. There's no "secure enclave" that sits between a CPU and the GPU, the decrypted payload must necessarily hit system RAM, as would the output. They are, at best, running in TEE VMs which are also pretty horribly broken and don't provide the security that they say they do.

Tinfoil is almost certainly lying to you.

You sure? These links are directly from tinfoil.sh's technology page: https://tinfoil.sh/technology

They use these technologies: - https://www.nvidia.com/en-us/data-center/solutions/confident... - https://www.amd.com/en/developer/sev.html - https://www.intel.com/content/www/us/en/products/details/pro...

Specifically, the intel page says "Intel® Xeon® 6 processors with Performance‑cores support Intel® TDX Connect technology, enabling confidential computing across the CPU and connected devices including GPUs, Smart NICs, and storage." which you are claiming do not exist....

Not trying to be an evangelist for them, but they seem to pretty open about their tech stack which is hugely differentiating compared to every other AI company....

> I have tried to do the same recently with the newer models and we're still not writing code by the time the older models had finished their work

Claude used to run at ~150tps in January. Now it runs at 50tps if you're lucky. That explains most of the speed issues without even getting into technical details about the new models.

Oh that's interesting. When did that happen? a 3x reduction in speed would probably explain it

It happened as their user base exploded and their infrastructure could not keep up with all the new demand.

Is this because of "model collapse" ? Newer AI models being trained on too much AI slop ?

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