Says, not inflation-adjusted. With reason; adjusting those 1960-1980 prices for inflation would make the graph a lot taller.
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."
Per Wikipedia, it "is a colorless, odorless, non-flammable, and non-toxic gas."
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.
"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.
HTML/CSS components were not available to Guido in 1988. It was in 1989 that Tim Berners-Lee defined the first version of HTML[0] and CSS was proposed five years later[1]. In 1988 Guido would have known about the Mac (1984) which he cites, and the X Window system, which was 5 years old.[2]
Not that hard if you are in young to middle years and have any job experience. I asked Perplexity "If an American citizen, a trained engineer with some experience, desired to work abroad in the EU or an English-first nation, what are some good websites to check?"
I suggest you do the same -- the reply lists a dozen promising sites.
Set aside the effect within Wikipedia and consider the larger picture, millions of people generating text with LLMs and at least some of that text being accepted as correct by millions of readers.
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.
Actually more fun is the "henge near me" page[1] which lets you test alignment on a map of a chosen city. Very nice interactive use of Google Maps, flipping red alignment bars on and off as the date changes.
On March 12, 2026, all the avenues in the Sunset and Richmond districts of San Francisco are Henge candidates. These are the avenues that are named in alphabetic sequence, North to South. Anyone who grew up in The City can recite the whole sequence (Anza, Balboa, Cabrillo... Vicente, Wawona, Yorba).
Calendar is central, but I use a Google calendar which is important to me. Connect it?
Seems like a "dlog" is a calendar entry. So is my "journal" broken up into separate pages, not a sequential document or blog?
2:30 ff, strongly suggest that for your next video you pre-script it to avoid fumbling and mumbling.
5:10 side note, interesting that your personality(?) model was from 2018, well before LLMs.
7:50 for an app to produce such output (impact of a friend on mood) you surely must do a copious amount of extremely frank journaling. When, and in what format? As scattered calendar entries? I'm confused how I fuel the app.
10:40 relating diary entries (reported activities and attitudes) to one's stated goals -- this is what I would expect an AI to do, and tell me about them rather than the reverse.
I'm sorry, I just don't see how I could use or adapt to something like this when I have a well-established diary/blog and calendar, it would mean changing many daily habits and adding what looks like a lot of detail work.
None of the sliders sound anything at all like my tinnitus, which is a very high complex hiss, maybe up around 6-9Khz? and steady, or varying slowly in volume. But no beeps or boops like this system.
> The next logical step is to invent a way to scale linearly with the number of constraints. “That is the North Star for all this research,” she said. But it would require a completely new strategy. “We are not at risk of achieving this anytime soon.”
Some quite random claims here, can anyone provide citations?
> GPT-5 can do things no other A.I. can do. It can hack into a web server. It can design novel forms of life. It can even build its own A.I. (albeit a much simpler one) from scratch
Especially "design novel forms of life" blinks "Citation required" in neon colors.
The article goes on from there with a lot of very credible, real-world jail-break examples. But that opener...
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."