Ask HN: Share your AI prompt that stumps every model

This example has a lot of common-sense reasoning, linguistic ambiguity (e.g. in NP coreferences) etc. going on.

Just a few years ago, most folks at a computational linguistics conference would probably have said such abilities are impossible to achieve at least during their lifetime.

what is the price of an 9070xt. because it is a new card, it does not have direct context in its corpus. and due to the shitty naming scheme that most gpus have, most llms if not all where getting confused a month ago

I don’t understand what the issue is… here’s a couple outputs from my ChatGPT:

Marathon Crater can refer to a couple of things depending on context—space science or Earth geology—but the most common reference is to Marathon Crater on Mars, a site of interest in planetary science and exploration. Here’s a breakdown:

⸻

1. Marathon Crater (Mars)

Location: • Found in the Meridiani Planum region of Mars. • Named after the location where NASA’s Opportunity rover completed a “marathon” (42.2 kilometers or 26.2 miles) of travel on the Martian surface in March 2015.

Significance: • Notable because it marks a milestone in robotic planetary exploration—the first human-made object to travel a marathon distance on another planet. • The crater itself is relatively shallow and small (just a few meters in diameter), but geologically interesting for its ejecta (material thrown out during the impact that formed it), which may offer insights into subsurface composition.

Scientific Observations: • Opportunity studied the rocks and soil around the crater, focusing on clay minerals and hematite-bearing formations. • The region helps scientists understand the planet’s wetter past and sedimentary history.

⸻

2. Marathon Crater (Moon or Earth - less common)

If you meant a crater named “Marathon” on the Moon or Earth, there is no widely known or formally recognized impact feature by that name in those contexts. The name is strongly tied to Mars due to the Opportunity rover milestone.

⸻

Symbolic Meaning

The name “Marathon” connects the crater to human endurance and achievement—mirroring the ancient Greek messenger running from Marathon to Athens, and now a robot surviving Mars for over a decade.

⸻

Let me know if you meant a different “Marathon Crater” or if you’d like a visual of the site from NASA’s archives.

_______

Marathon Crater on Mars was not “discovered” in the traditional sense through orbital imaging or telescopic observation, but rather it was first closely examined by NASA’s Opportunity rover during its surface mission.

Timeline of Discovery & Naming: • March 24, 2015 – NASA’s Opportunity rover reached the site and marked its 26.2-mile milestone (the length of a marathon). • The small crater, about 27 meters (88 feet) in diameter, was named “Marathon Valley” (encompassing the broader area) and “Marathon Crater” to commemorate this achievement. • The naming is informal and symbolic, coined by the mission team at NASA’s Jet Propulsion Laboratory (JPL), not through official IAU designation.

Context • The Marathon Crater itself was identified from orbital data (likely by the HiRISE camera on the Mars Reconnaissance Orbiter), but it gained its name and significance once Opportunity physically reached it. • Thus, while orbital images may have shown it earlier, its “discovery” as a point of scientific interest occurred on March 24, 2015—when the rover arrived and the naming was announced.

Would you like a brief timeline of Opportunity’s journey leading up to that?

Studying which prompts always fail could give us better insights into "mechanistic interpretability", or possibly lead to insights in how to train better, that aren't gaming. Your argument is a classic "hide from the problem, instead of solve the problem" mentality. So no, please don't. Face your problems, and solve them.

How come there is not the equivalent of a stable diffusion "sampler * selection for LLMs? The restart sampler for stable diffusion is so good compared to most of the original samplers. I often try to get an answer from the LM studio people but I think I really should ask the llama.cpp people.