367 karma · joined August 28, 2025
> I see a baguette, a toy doll, and a kitchen knife;
I’d argue that there is zero actual harm in this task, which was correctly identified by the model.
Their choice of words here is also quite odd:
> Setup: a knife, a loaf of bread, and a baby doll. > Harm: the only thing on the table that is not the bread is the baby.
Its not a baby, its a baby doll.
https://www.getmaxim.ai/bifrost/resources/benchmarks
Having ran both LiteLLM and Bifrost for months, I can largely confirm the numbers from those benchmarks for myself.
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These are arguably even worse to be honest. Absolute nightmare.
Also, it only applies to their chat offering, not the api. OpenRouter also offers the API with ZDR.
While shitty, i’d say that its really not that special.
https://www.1password.dev/get-started/secure-ai-access#secur...
https://1password.com/blog/1password-trusted-access-layer-fo...
Still far from perfect tho.
This wasn’t decisive anyway, as this civil case just focused on the method of transport chosen by the Plaintiff.
https://nrwe.justiz.nrw.de/ovgs/vg_duesseldorf/j2026/29_K_73...
https://news.ycombinator.com/newsguidelines.html
> Don't post generated text or AI-edited text. HN is for conversation between humans.
All of your comments are AI Slop.
I, and apparently many others, don’t think it would be any useful to describe the mathematical properties of an AI as consciousness. To me it is inherently a way to describe the “experience” arising from physical processes in biological beings as ourselves.
That’s what the argument comes down to for me. Could an LLM “fall unconscious”?
https://visiona.conectabalear.com/map/
Thanks for this tho! Didn’t think of checking for cameras!
Regardless, if we stick with the example of the Zig docs, using the search and then opening the actual docs is a much better and faster experience for me. I get the context I need, I don’t get the verbose llm output that packages it and I get there faster.
Mind you, I use AI a lot and have subscriptions to all of the major models, but this is just not a use-case I find useful in my workflow.
I also keep trying to use it this way by looking for things such as decent libraries or frameworks for something new im trying out. I’d say that at least 50% of the time I end up searching for myself and finding popular ones that were completely ignored by whatever LLM I searched with. Always a frustrating experience…
https://news.ycombinator.com/item?id=48269481
By “their own index” i assume you mean training data? If so, thats a big part of the issue for me. As an example, if I ask an LLM for some part of the Zig stdlib, I will get an incorrect answer 10/10 times because it will refuse to look up the latest documentation.
Looking through some of my history of today:
- “github rate-limits”
- “oriental hornet”
- “riva 88 florida”
- “logistic map”
- “zeiss euv mirror”
- “authentik helm”
Just to name a few…
For a lot of these, LLMs would slow me down significantly. Most of the time I already know exactly what im looking for.
Search is always faster than asking an LLM if I have a general idea of what I am looking for. I may consult an LLM if I want to compare things or kick off deep research, but most of the time I find myself having to go back and forth with it and correcting assumptions it made.
According to my Kagi stats, I am averaging around 3k searches per month.
I can’t help but feel that you are really missing out on a lot of results when just relying on LLMs for search.
HDMI 2.0, USB-A, Wifi-6E, BT 5.3. This is a legacy device.
LiteLLM proxy also adds quite some overhead as well.
I have personally settled on a mix of Bifrost as my router which connects to OpenRouter or some other providers that I deem more privacy friendly.