Merry Christmas! I was gonna say I hope you all get coal, but then being given coal doesn’t really help the economy does it? Buy your own goddamn coal.
To investigate that question, we have to go back a little further into the word’s history. The French word “coronel” is derived from the Italian word “colonnello.” When the French borrowed the word, however, they found it difficult to pronounce. In an effort to ease the pronunciation problem, they changed the first “l” sound to an “r” sound. This is quite a common occurrence; when there are two “l” sounds or two “r” sounds near each other in a word, one of them is frequently omitted or changed to a different sound to eliminate a tricky pronunciation. Linguists call this type of alteration “dissimilation.”
When English later adopted the word (in the 16th century), the French pronunciation was kept, but the letter “r” was changed back to an “l,” making the term look more like the original Italian word and producing the conflict we continue to have between spelling and pronunciation.
english is my second language and i feel it has wasted a lot of brain memory, because i have to learn the spelling and pronunciation of each word separately and the link them together, when i could just learn one of those and know the other
Same and in most situations I can pass as an English first speaker.
I was at IKEA buying a bed frame and asked the person at the counter if she had put the slats on the bill… But I pronounced it like slates because I was sure I had seen an “e” at the end of the word and there went the illusion 🤷
Reminds me of a TV ad, older than this comic, for a frosted cereal (probably not the first one that comes to mind) and the adult about to consume them has the inner dialogue "What about fat?!" "Wimp!"
(I always heard it as "Wamp!", so to this day I'm not completely sure if it was an early example of a spoken sad trombone, but "Wimp!" is more likely.)
Luckily that was only the abbreviation and not the actual word. I know that language changes all the time, constantly, but I still find it annoying when a properly established and widely (within reason) used term gets appropriated and hijacked.
I mean, I guess it happens all the time in with fiction, and in sciences you sometimes run into a situation where an old term just does not fit new observations, but please keep your slimy, grubby, way-too-adhesive, klepto-grappers away from my perfectly fine professional umbrella terms. :(
The term machine learning was coined in 1959 by Arthur Samuel, an IBM employee and pioneer in the field of computer gaming and artificial intelligence.[9][10] The synonym self-teaching computers was also used in this time period.[11][12]
“AI” will never shake the connotations science fiction has given it. The association is always going to skew towards positronic brains and Commander Data.
In the world of Actual Machines, “AI” is a term that should barely be tolerated in advertising departments, let alone anything remotely close to R&D
“That’s some high security clearance to have a computer rapidly tap auto-complete for entire paragraphs, hoss…wait it pays how much?(Ahem) I shall take this solemn responsibility of the highest order so very seriously!” Lol
We used to distinguish AI as automatically / programmatically making a decision based on an ML model, but I’m guilty of calling it AI for wow factor, lol.
Now I have to be careful because AI = LLMs in common language .
I think people are hesitant to call ML “statistical modeling” because traditional statistical models approximate the underlying phenomena; e.g., a logarithmic regression would only be used to study logarithmic phenomena. ML models, by contrast, seldom resemble what they’re actually modeling.
I like to post sometimes on the “guess the song” AI communities, but more often than not, the Bing image creator just plast the lyrics on the image making it useless for the game.
Image generation models are generally more than capable of doing that they’re just not trained to do it.
That is, just doing a bit of hand-holding and showing SDXL appropriately tagged images and you get quite sensible results. Under normal circumstances it just simply doesn’t get to associate any input tokens with the text in the pixels because people rarely if ever describe, verbatim, what’s written in an image. “Hooters” is an exception, hard to find a model on Civitai that can’t spell it.
I will probably use these images in a corporate PowerPoint. I’m not asking for your permission, I’m warning you. Sorry, it’s too good. (I will credit you as a CTO of some company ending in -SYS or - LEA if you want)
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