Comments URL: https://news.ycombinator.com/item?id=47499419

Points: 1

# Comments: 0

https://www.zanode.co.za/

Comments URL: https://news.ycombinator.com/item?id=47229189

Points: 1

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=47148078

Points: 2

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=47086633

Points: 3

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=47033981

Points: 5

# Comments: 0

""" - Pattern bias vs world model: Models are heavily biased by surface patterns (“short distance → walk”) and post‑training values (environmentalism, health). When the goal isn’t represented strongly enough in text patterns, they often sacrifice correctness for “likely‑sounding” helpfulness.

- Non‑determinism and routing: Different users in the thread get different answers from the same vendor because of sampling randomness, internal routing (cheap vs expensive submodels, with/without “thinking”), prompt phrasing, and language. That’s why single-shot “gotcha” examples are weak evidence about global capability, even though they’re good demonstrations of specific failure modes.

- Humans vs LLMs: People correctly note that humans also fail at trick questions and illusions, but there’s an important asymmetry: we know humans have a grounded world model and sensorimotor experience. With LLMs, we only have behavior. Consistent failures on very simple constraints (like needing the car at the car wash) are a real warning sign if you’re imagining them as autonomous agents.

- Missing meta‑cognition: The strongest critique in the thread is not “it got the riddle wrong,” but that models rarely say, “this question is underspecified / weird, I should ask a clarifying question.” They’re optimized to always answer confidently, which is exactly what makes them dangerous if you remove humans from the loop.

- Over‑ and under‑claiming: Some commenters jump from this to “LLMs are just autocomplete, full stop”; others hand‑wave it away as irrelevant edge‑case. Both are overstated. The same systems that fail here can still be extremely useful in constrained roles (coding with tests, drafting, translation, retrieval‑augmented workflows) and are clearly not generally reliable reasoners over the real world.

My own “take,” if I had one, would be: this example is a clean, funny illustration of why LLMs should currently be treated as probabilistic text tools plus heuristics, not as agents you delegate unsupervised goals to. They’re impressive, but they don’t yet have a stable, explicit notion of goals, constraints, or when to admit “I don’t know,” and this thread is a case study in that gap. """

I built ClawClaw because currently OpenClaw hosting still requires a lot of manual setup for certain useful features. The plan with ClawClaw is to make OpenClaw ready out-of-the-box for all kinds of different use cases with minimal manual configuration.

Enjoy and let me know what you think :)

Comments URL: https://news.ycombinator.com/item?id=46976408

Points: 1

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=46811234

Points: 2

# Comments: 0

I recently launched an app on a .xyz domain that's been getting steady traffic and some people actually signing up for it (it's tinytune.xyz if you're curious to see).

Doing a quick Google search I found a few other popular services using .xyz domains:

1. MEE6 (the popular Discord bot): mee6.xyz

2. Together AI (used to be on .xyz before going over to .ai, an example perhaps of starting with a cheaper domain before going more expensive): together.xyz

3. Block (large fintech): block.xyz

4. Starship (millions in funding): starship.xyz

This pdf has some more: https://gen.xyz/downloads/xyz-10th-anniversary-registry-port...

Yes, so to answer it, the idea of TinyTune was to literally be "tiny", i.e., very simple to use. It (mostly) takes 3 steps + some waiting time and you have a custom model. I found other services to be a bit more difficult to use.

And yes, I also agree with iFire's findings that another big difference is the number of models that are available. But the main differentiator with other similar services would definitely be the focus on its ease of use.

I should say that FinetuneDB seems like a solid competitor though!

Comments URL: https://news.ycombinator.com/item?id=46702477

Points: 5

# Comments: 3

Comments URL: https://news.ycombinator.com/item?id=46646046

Points: 7

# Comments: 0