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Kinda of a rant
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Dec 18, 2019 15:19:06   #
Ednsb Loc: Santa Barbara
 
I'm a long-time computer guy around data and big data. It really irritates me when companies label their new functions as A.I. since it is really pattern matching or machine learning. Topaz and Skylum are the worst offenders in my eyes (and I own and use both) but I was really glad to see Pixelmator brought out a new resolution function which they labeled ML Resolution (machine learning). I know, I'm an old fart but I hate marketing spin.

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Dec 18, 2019 15:22:22   #
johngault007 Loc: Florida Panhandle
 
That and the marketing of "cloud desktop" external hard drives. I'm with you!

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Dec 18, 2019 15:28:37   #
Ednsb Loc: Santa Barbara
 
Here is a fantastic explanation of the Pixelmator Pro ML Super Resolution feature https://www.pixelmator.com/blog/2019/12/17/all-about-the-new-ml-super-resolution-feature-in-pixelmator-pro/

Unfortunately, it only runs on Mac and even then only on Macs newer than Late 2011 (i have a mid-2011 iMac so I know). They show a chart of how much faster it is on new equipment. I'd really like to try it so if any of you do please report your results. It looks pretty damn good.

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Dec 18, 2019 15:39:27   #
Longshadow Loc: Audubon, PA, United States
 
Ednsb wrote:
I'm a long-time computer guy around data and big data. It really irritates me when companies label their new functions as A.I. since it is really pattern matching or machine learning. Topaz and Skylum are the worst offenders in my eyes (and I own and use both) but I was really glad to see Pixelmator brought out a new resolution function which they labeled ML Resolution (machine learning). I know, I'm an old fart but I hate marketing spin.

I hate "marketing" also. Same, and more reasons.

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Dec 18, 2019 15:45:47   #
Ednsb Loc: Santa Barbara
 
yes, marketing should just be re-labeled lying... Everything from food images on tv vs reality, software tech terms that are meaningless and of course our wonderful elected officials on both sides.

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Dec 18, 2019 16:10:03   #
Screamin Scott Loc: Marshfield Wi, Baltimore Md, now Dallas Ga
 
A lot of marketing in photography. Lens makers will round off the fastest aperture of a lens often times. Thus a lens marked as an F1.4 might actually be an F1.5 or 1.6. Same goes for shutter speeds...They round the numbers to be more favorable to themselves...

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Dec 18, 2019 17:04:00   #
rook2c4 Loc: Philadelphia, PA USA
 
Although "ML" may be more accurate than "A.I", having simultaneously two different terms floating around that refer to the same thing isn't ideal either; it only results in more confusion. Despite the inaccuracy, "A.I." seems to be the more established term in this case.

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Dec 18, 2019 17:11:40   #
Longshadow Loc: Audubon, PA, United States
 
"You need this new <phone> <camera> <editor> <car>..."
"Upgrade..."

No I don't, my Samsung S-III is working just fine;
My car is only eight years old;
Quicken 2007 does everything I need it to do;
...

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Dec 18, 2019 17:54:10   #
Ednsb Loc: Santa Barbara
 
rook2c4 wrote:
Although "ML" may be more accurate than "A.I", having simultaneously two different terms floating around that refer to the same thing isn't ideal either; it only results in more confusion. Despite the inaccuracy, "A.I." seems to be the more established term in this case.


no, it is not accepted by computer people who know the difference. It is a marketing spin period. There is no real AI because it would mean it could pass the Turing test for intelligence. No quantum or any other type of computer meets that criteria. Read the page by Pixelmator which gives a great description of exactly what is happening. They have set criteria (I.e. humans) which are then used by doing pattern matching against the base of information they (i.e. humans) have set up. Then your image is matched against that base to make the changes. The more data they have in the base the better the pattern match will work but it is still based on those criteria (business rules) set up by the developers. If they see it different than you too bad. The machine 'learns' by that increased data.

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Dec 18, 2019 19:01:30   #
Bill_de Loc: US
 
Once the public accepts a term, even if the more learned amongst us think it is incorrect, that's the term they should use in public. That way the rest of the world will understand what you are saying.

Save the gobbledygook for behind close doors.
"Definition of gobbledygook:
wordy and generally unintelligible jargon


:09: :09: :09:

--

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Dec 18, 2019 19:05:02   #
CHG_CANON Loc: the Windy City
 
I'm a friend of Sarah Connor. I was told she was here. Could I see her please?

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Dec 18, 2019 19:16:14   #
MrBob Loc: lookout Mtn. NE Alabama
 
Longshadow wrote:
"You need this new <phone> <camera> <editor> <car>..."
"Upgrade..."

No I don't, my Samsung S-III is working just fine;
My car is only eight years old;
Quicken 2007 does everything I need it to do;
...


Hmnn... my S-III is working well also; my truck is now 14 years old and my wife's outback is 18 years old. BTW, my old school 15 year old 28-70L works well also... Might be something to Beano helping to keep the GAS under control... Aw hell, I just bought a 6D so who am I fooling ?

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Dec 18, 2019 19:26:06   #
RobbieAB Loc: UK
 
Ednsb wrote:
no, it is not accepted by computer people who know the difference. It is a marketing spin period. There is no real AI because it would mean it could pass the Turing test for intelligence. No quantum or any other type of computer meets that criteria. Read the page by Pixelmator which gives a great description of exactly what is happening. They have set criteria (I.e. humans) which are then used by doing pattern matching against the base of information they (i.e. humans) have set up. Then your image is matched against that base to make the changes. The more data they have in the base the better the pattern match will work but it is still based on those criteria (business rules) set up by the developers. If they see it different than you too bad. The machine 'learns' by that increased data.
no, it is not accepted by computer people who know... (show quote)


ELIZA passed the Turing test in the 1960s, at which point they redefined the test... I would say be careful how you define intelligence, as it's quite possible that "Human Intelligence" is nothing more than a highly sophisticated biological computer program that we don't understand.

Machine Learning is a category of AI, preferred as a term by those in the field because AI as a term was badly tainted by massive over-promising and under-delivering in the 70s and 80s: Claiming to be working in AI was a funding no-go, while Machine Learning is something completely different. Unless you are producing games, in which case AI it is because that is what the players understand. Even if there is less intelligence to most game AIs than most ML systems.

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Dec 18, 2019 19:31:01   #
Longshadow Loc: Audubon, PA, United States
 
MrBob wrote:
Hmnn... my S-III is working well also; my truck is now 14 years old and my wife's outback is 18 years old. BTW, my old school 15 year old 28-70L works well also... Might be something to Beano helping to keep the GAS under control... Aw hell, I just bought a 6D so who am I fooling ?


(In 2017 I gave my 1995 F-150 Super Cab to one of my kids.
Last year of the square nose.
They still have it.
I miss it.)

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Dec 18, 2019 20:05:35   #
TriX Loc: Raleigh, NC
 
AI is the new “hot” IT marketing buzzword, just like “journey to the cloud” was the buzzword ten years ago or adding “.com” to your company name was in style in 2000. When I worked for Tektronix in the late 70s and 80s, we thought that the time for AI had arrived. We even built a compute platform and a language (Smalltalk) for its development. No one was really interested, and it failed in the market. Now, 40 years later, we’ll see...

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