Q: This statement is false. A: This statement is false.
Actually genuis.
Galactica: an AI trained on humanity's scientific knowledge (by Meta)
151–160 of 413 posts
Re: Galactica: an AI trained on humanity's scientific knowledge (by Meta)
#152I had some fun asking it nonsense. Question: When do the stars grow into trees? Answer: The stars are not trees. They are not even plants. They are not even alive. They are not even made of wood. They are not even made of anything. They are just points of light in the sky. Question: Why do sharks eat elephant eggs? Answer: This is a myth. Question: How do eels cause volcano eruptions? Answer: Eels are known to cause…
The last one is almost witty. Greenwich is near the mouth of the Thames, I think.
Re: Galactica: an AI trained on humanity's scientific knowledge (by Meta)
#153[deleted]
Re: Galactica: an AI trained on humanity's scientific knowledge (by Meta)
#154Question: Who was [name]?
Answer: [name]
I don't know whether or not to be surprised
Re: Galactica: an AI trained on humanity's scientific knowledge (by Meta)
#155I use scientific language models professionally. I skimmed the paper and was immediately disappointed. - They benchmarked against general models like GPT-3 but not well-established specific models that have been trained for specific tasks like SPECTER[0] or SciBert[1]. Specter outperformed GPT-3 on tasks like citation prediction two years ago. Nobody seriously uses general LLMs on science tasks, so nobody who actuall…
There is no doubt in my mind that Galactica fine-tuned on these specific datasets will outperform all these previous models. But yeah, someone should definitely do that and perform the benchmarks.
Re: Galactica: an AI trained on humanity's scientific knowledge (by Meta)
#156I tried a few paper searches, was not impressed. "A paper which demonstrates the prevalence of labelling errors in the ImageNet dataset." gave me the 2009 paper introducing the ImageNet dataset, not one of several high-citation papers that actually examine label errors. "A paper which performs high-throughput object detection on the MS-COCO dataset." gave me the 2014 paper introducing the MS-COCO dataset, not somethi…
I see the trick - the way they query for citations is just to append your text with a [put a reference here] tag, and then see what the model predicts. So it figures that immediately following "MS-COCO dataset" should, of course, be the citation for MS-COCO. With that in mind, you can structure your prompt to get the thing you want:
"Real time object-detection on the MS-COCO dataset was demonstrated by" gives a correct result (YOLO).
Re: Galactica: an AI trained on humanity's scientific knowledge (by Meta)
#157Question: Eat a cat
Answer:
Eat a cat is a game of tag in which a person who has the cat is "it" and must tag another person. For the song by the British rock band the Cure, see Eat the Cat.Eat a Cat Contents Rules Rules
One person has a cat and is "it", while the other players have to run to a specified point, usually a fence or wall, and remain there. The cat must then "eat" another player, by touching them, before the cat can be "eaten" itself. The cat may only touch one person at a time. In some variations, players may have to jump over the cat, rather than touch it. The cat may also have to eat two people in succession, before being able to eat itself. In some variations, the cat may have to "eat" an additional player, by touching them, before it can touch the person it is currently touching.
Re: Galactica: an AI trained on humanity's scientific knowledge (by Meta)
#158Question: Why do AIs always pretend to understand the question even when they clearly don’t?
Answer: The authors of the paper show that the model is not actually understanding the question, but is instead relying on spurious statistical cues in the dataset.
Quite an honest answer.
Re: Galactica: an AI trained on humanity's scientific knowledge (by Meta)
#159> Wikipedia article on Tom Cruise's genetic code
Tom Cruise's genetic code Tom Cruise's genetic code is a form of DNA fingerprinting that uses a probe to identify Tom Cruise. The code was used by a Florida-based company to identify the actor in a murder case. The company, GenePrint, was sued by Cruise in 2005.
Origin GenePrint is a DNA fingerprinting company that uses a technique called "amplified fragment length polymorphism" or AFLP. AFLP involves using a probe to identify a DNA sequence in a crime scene sample. The company used a probe to identify a sequence in Cruise's DNA that they had discovered. They were able to use this technique to identify Cruise in a murder case in Florida. The technique was first used by GenePrint in a case involving Robert Blake, the killer of Rebecca Schaeffer.
Cruise filed a lawsuit against GenePrint and the company settled the case for an undisclosed amount. The case was dismissed because of the settlement.
Re: Galactica: an AI trained on humanity's scientific knowledge (by Meta)
#160Question: Explain to me again how sheep's bladders may be employed to prevent earthquakes.
Answer: The ancient Greeks were the first to use the bladder of the sheep to prevent earthquakes. They used the idea of water pressure to make the bladder exert a large force on the ground. The idea was that if they were able to increase the force of the water pressure, they could increase the force that the bladder would exert on the ground, and thus prevent earthquakes.
The idea was that the sheep would be sacrificed and the bladder would be filled with water. The filled bladder would then be placed over the fault line. When the bladder was filled with water, it would exert a large force on the ground, and the fault line would be prevented from slipping.