fernly
Joined 14 years ago
Joined 14 years ago
It was this connection that ultimately blocked Eckert and Mauchly from patenting the idea of the digital computer.[1]
[0] https://en.wikipedia.org/wiki/John_Vincent_Atanasoff [1] https://en.wikipedia.org/wiki/John_Vincent_Atanasoff#Patent_...
https://en.wikipedia.org/wiki/Lablab --
Taiwanese researchers found that a carbohydrate-binding protein (i.e. a legume lectin) from lablab beans effectively blocks the infections of influenza viruses and SARS-CoV-2.[60] Researchers from Finland and USA found that extracts from chewing gum manufactured from lablab bean seeds had broad-spectrum anti-viral properties, likely due to the binding action of Flt3 Receptor Interacting Lectin (FRIL) on viruses; the anti-viral effect was similar to that of purified FRIL
Presumably that company could use the Gemini Robotics product to eliminate the remote controller.
That dependency is because isn't feasible for me to own my own server. If I did, it would either be virtual, in amazon's or microsoft's cloud, or it would be real hardware but still in some corporate server farm. It just wouldn't be practical for me to own (and maintain) a physical server with an UPS and permanent uplink to the net.
Pricing "per GB" before 1990 is unrealistic, though; nobody thought in GB or purchased GB quantities, or conceived of GB systems. I remember a moment circa 1973 when I saw an IBM CE about to do an upgrade on a 370 system at Cal Berkeley. He had a box with several carefully-packed, large circuit boards. "So, is that a megabyte?" I asked. "Yup, that's a meg."
When used as a contrast agent for ultrasound, it "has been used to examine the vascularity of tumours" -- which would be similar to its use in the OP. Then "[i]t remains visible in the blood for 3 to 8 minutes, and is exhaled by the lungs."
So -- not collected and excreted by the liver, as I at first thought.
https://www.righto.com/2026/03/ibm-4-pi-computer-history.htm...
"Multimodal AI systems are increasingly deployed on the assumption that their benchmark performance reflects genuine visual understanding. Our results fundamentally challenge these assumptions. Across every model-benchmark pair tested, the accuracy that frontier models achieved without any access to images exceeded the additional accuracy they gained when images were provided. Moreover, a text-only 3-billion-parameter model, trained solely on question-answer pairs stripped of images, outperformed all frontier multimodal systems and human radiologists on a held-out chest radiology benchmark. Taken together, these results demonstrate that high benchmark accuracy does not reliably indicate visual understanding."
Basically, they are so good at extracting clues from the text of the questions, and extrapolating from them, that they proceed to answer _as if_ they had an image to view. With confidence, of course.
[0] https://en.wikipedia.org/wiki/HTML#Development
I suggest you do the same -- the reply lists a dozen promising sites.
https://www.perplexity.ai/search/if-an-american-citizen-a-tr...
The WikiEdu article clearly demonstrates what everyone should have known already: an LLM has no commitment to the truth. An LLM's only commitment is to correct syntax.
https://www.lumen.com/blog/en-us/symbiotic-parasites-the-mod...