If it’s not in your blood you will never understand.
https://www.youtube.com/watch?v=e4BVwCWQLnU
https://word.undead-network.de/2024/12/20/if-its-not-in-your-blood-you-will-never-understand/
#rockabilly #ted #teddyboy
#ted
Nobody’s slave, nobody’s tool, nobody’s judge.
https://www.youtube.com/watch?v=7SQ1pproM5U
https://word.undead-network.de/2024/09/07/nobodys-slave-nobodys-tool-nobodys-judge/
#music #nobodysjudge #nobodystool #revival #rockandroll #ted
She don’t wanna do the things that a lady’s supposed to do. My little sister’s got a motorbike she’s a rocker through an’ through
https://www.youtube.com/watch?v=QnIuFb7_rfs
https://word.undead-network.de/2024/07/01/she-dont-wanna-do-the-things-that-a-ladys-supposed-to-do-my-little-sisters-got-a-motorbike-shes-a-rocker-through-an-through/
#enjoyyourself #littlesister #music #rockabilly #rocker #ted #teddyboy #teddygirl
Freddie Fingers Lee – I’m Down (1978)
https://www.youtube.com/watch?v=sWKSUwgLejM
https://word.undead-network.de/2024/05/02/freddie-fingers-lee-im-down-1978/
#freddyfingerlee #rockabilly #ted
Its in Hell Fidelity! Listen to Lou Cifer! Do what you want. If you can’t stand me? There is the door—>
https://www.youtube.com/watch?v=oRL8VH2wMcI
https://word.undead-network.de/2024/04/15/its-in-hell-fidelity-listen-to-lou-cifer-do-what-you-want-if-you-cant-stand-me-there-is-the-door/
#loucifer #rockabilly #ted #teddyboy
The fairy tale about fossil fuel industry...
Watch: https://www.youtube.com/watch?v=wL8X31XWZW8
#luisa #ted #climate #activism #economy #politics #government #nature #environment #emissions #co2 #future #earth #problem
The Most Unexpected Acoustic Guitar Performance | The Showhawk Duo | TEDxKlagenfurt
Mkay, for today i got a really early contender in the RandomShit post of the day league...
The Most Unexpected Acoustic Guitar Performance | The Showhawk Duo | TEDxKlagenfurt
https://www.youtube.com/watch?v=FIrkhJut4Ew
https://redirect.invidious.io/FIrkhJut4Ew
#most #unexpected #acoustic #guitar #performance #showhawk #duo #TED #TEDx #TEDxKlagenfurt #RandomShit #Youtube
the risks of all digital (no cash) payment systems & amok AI:
“This happens quite often with customers of the Cashgroup banks (@DeutscheBank / @Postbank / @Commerzbank / @Comdirect) as soon as their algorithms hit your account is directly without giving exact reasons – then sense” (bank account blocked – without any reason given #what the serious f***? all gone mad?) (src: twitter)
Shivani Siroya@TEDx: “A smart new business loan for people with no credit”
this sounds way better than… (clever marketing) reality…
reality…
[video width=”628″ height=”368″ mp4=”https://dwaves.de/wp-content/uploads/2022/03/2022-03-23\_Tala\_mobile\_lending\_App\_in\_Kenya.mp4″\]\[/video\]
https://ytpak.net/watch?v=EV88RmUzRP8
- “alright…” (no not alright)
- thanks for the video ktn, great journalism needs to tell the truth! not display marketing only!
- “it is not a app where you can get money, and live of the face of the earth…”
- “you will delete the application and nobody will know that you have taken that amount? no, your profile still exists”
- “risk based pricing, we are able to assess the risk of the borrower, from 15% to 5%”
- Q: “what would give me 90% (rating)?”
- A: “this is machine learning, there is no human intervention… the machine sends your data through our database and will score you… we pick thousands of thousands digital datapoints, that makes it predictive, accureate” (but nobody knows (not even the developers!!?!?!?!?) why it decides to give you a B and not an A rating)
- so on the one hand it is good, Africa does not care, how much data is collected about individuals, because that’s the only way they can get a loan, because banks EVERYWHERE simply FAIL to do their CORE TASK:
- bankers should look at the people and their projects and then lend money (good not too greedy conditions).
- Africa’s governments probably have bigger problems, but they also need to protect the data of their citizens from big corporations trying to exploit it.
- a reality where AI is making ALL decisions… not sure that will be a good reality, probably not.
- it is not the first time, AI get’s things wrong: (the risk is that users blindly trust it)
this video gives interesting insights into everyday life in Africa, Kenya….
#linux #gnu #gnulinux #opensource #administration #sysops #africa #ted #tedx #alternatives #loans #afrika #tala #finance #credit #score #bigdata #privacy #surveillance #apps #tracking #mobile #lending #banks #bank #deutschebank #commerzbank #comdirect #postbank #cashgroup
Originally posted at: https://dwaves.de/2022/03/23/data-protection-clearly-does-not-exist-in-africa-shivani-siroya-tedx-a-smart-new-business-loan-for-people-with-no-credit-when-ai-takes-over-and-calls-all-the-shots-and-nobody-knows-why-i/
Shivani Siroya@TEDx: “A smart new business loan for people with no credit”
this sounds way better than… (clever marketing) reality…
reality…
[video width=”628″ height=”368″ mp4=”https://dwaves.de/wp-content/uploads/2022/03/2022-03-23\_Tala\_mobile\_lending\_App\_in\_Kenya.mp4″\]\[/video\]
https://ytpak.net/watch?v=EV88RmUzRP8
- “alright…” (no not alright)
- thanks for the video ktn, great journalism needs to tell the truth! not display marketing only!
- “it is not a app where you can get money, and live of the face of the earth…”
- “you will delete the application and nobody will know that you have taken that amount? no, your profile still exists”
- “risk based pricing, we are able to assess the risk of the borrower, from 15% to 5%”
- Q: “what would give me 90% (rating)?”
- A: “this is machine learning, there is no human intervention… the machine sends your data through our database and will score you… we pick thousands of thousands digital datapoints, that makes it predictive, accureate” (but nobody knows (not even the developers!!?!?!?!?) why it decides to give you a B and not an A rating)
- so on the one hand it is good, Africa does not care, how much data is collected about individuals, because that’s the only way they can get a loan, because banks EVERYWHERE simply FAIL to do their CORE TASK:
- bankers should look at the people and their projects and then lend money (good not too greedy conditions).
- Africa’s governments probably have bigger problems, but they also need to protect the data of their citizens from big corporations trying to exploit it.
- a reality where AI is making ALL decisions… not sure that will be a good reality, probably not.
- it is not the first time, AI get’s things wrong: (the risk is that users blindly trust it)
this video gives interesting insights into everyday life in Africa, Kenya….
#linux #gnu #gnulinux #opensource #administration #sysops #africa #ted #tedx #alternatives #loans #afrika #tala #finance #credit #score #bigdata #privacy #surveillance #apps #tracking #mobile #lending
Originally posted at: https://dwaves.de/2022/03/23/data-protection-clearly-does-not-exist-in-africa-shivani-siroya-tedx-a-smart-new-business-loan-for-people-with-no-credit-when-ai-takes-over-and-calls-all-the-shots-and-nobody-knows-why-i/
Shivani Siroya@TEDx: “A smart new business loan for people with no credit”
this sounds way better than… (clever marketing) reality…
reality…
[video width=”628″ height=”368″ mp4=”https://dwaves.de/wp-content/uploads/2022/03/2022-03-23\_Tala\_mobile\_lending\_App\_in\_Kenya.mp4″\]\[/video\]
https://ytpak.net/watch?v=EV88RmUzRP8
- “alright…” (no not alright)
- thanks for the video ktn, great journalism needs to tell the truth! not display marketing only!
- “it is not a app where you can get money, and live of the face of the earth…”
- “you will delete the application and nobody will know that you have taken that amount? no, your profile still exists”
- “risk based pricing, we are able to assess the risk of the borrower, from 15% to 5%”
- Q: “what would give me 90% (rating)?”
- A: “this is machine learning, there is no human intervention… the machine sends your data through our database and will score you… we pick thousands of thousands digital datapoints, that makes it predictive, accureate” (but nobody knows (not even the developers!!?!?!?!?) why it decides to give you a B and not an A rating)
- so on the one hand it is good, Africa does not care, how much data is collected about individuals, because that’s the only way they can get a loan, because banks EVERYWHERE simply FAIL to do their CORE TASK:
- bankers should look at the people and their projects and then lend money (good not too greedy conditions).
- Africa’s governments probably have bigger problems, but they also need to protect the data of their citizens from big corporations trying to exploit it.
this video gives interesting insights into everyday life in Africa, Kenya….
#linux #gnu #gnulinux #opensource #administration #sysops #africa #ted #tedx #alternatives #loans #afrika #tala #finance #credit #score #bigdata #privacy #surveillance #apps #tracking #mobile #lending
Originally posted at: https://dwaves.de/2022/03/23/data-protection-clearly-does-not-exist-in-africa-shivani-siroya-tedx-a-smart-new-business-loan-for-people-with-no-credit-when-ai-takes-over-and-calls-all-the-shots-and-nobody-knows-why-i/
Shivani Siroya@TEDx: “A smart new business loan for people with no credit”
this sounds way better than… (clever marketing) reality…
reality…
[video width=”628″ height=”368″ mp4=”https://dwaves.de/wp-content/uploads/2022/03/2022-03-23\_Tala\_mobile\_lending\_App\_in\_Kenya.mp4″\]\[/video\]
https://ytpak.net/watch?v=EV88RmUzRP8
- “alright…” (no not alright)
- thanks for the video ktn, great journalism needs to tell the truth! not display marketing only!
- “it is not a app where you can get money, and live of the face of the earth…”
- “you will delete the application and nobody will know that you have taken that amount? no, your profile still exists”
- “risk based pricing, we are able to assess the risk of the borrower, from 15% to 5%”
- Q: “what would give me 90% (rating)?”
- A: “this is machine learning, there is no human intervention… the machine sends your data through our database and will score you… we pick thousands of thousands digital datapoints, that makes it predictive, accureate” (but nobody knows (not even the developers!!?!?!?!?) why it decides to give you a B and not an A rating)
- so on the one hand it is good, Africa does not care, how much data is collected about individuals, because that’s the only way they can get a loan, because banks EVERYWHERE simply FAIL to do their CORE TASK:
- bankers should look at the people and their projects and then lend money (good not too greedy conditions).
- Africa’s governments probably have bigger problems, but they also need to protect the data of their citizens from big corporations trying to exploit it.
#linux #gnu #gnulinux #opensource #administration #sysops #africa #ted #tedx #alternatives #loans #afrika #tala #finance #credit #score #bigdata #privacy #surveillance #apps #tracking #mobile #lending
Originally posted at: https://dwaves.de/2022/03/23/data-protection-clearly-does-not-exist-in-africa-shivani-siroya-tedx-a-smart-new-business-loan-for-people-with-no-credit-when-ai-takes-over-and-calls-all-the-shots-and-nobody-knows-why-i/
Absurde Fragen an die Kandidatin
Bei der Anhörung der nominierten Schwarzen Richterin Ketanji Brown Jackson im US-Justizausschuss packen die Republikaner*innen jede Menge Hass aus. http://www.taz.de/Nominierung-fuer-US-Supreme-Court/!5843916/ #taz #tazgezwitscher #tageszeitung #US-Justiz #Joe #Biden #Supreme #Court #Ted #Cruz #USA #US-Kongress #US-Senat #Ketanji #Brown #Jackson #Rassismus
How do you define yourself? | Lizzie Velasquez | TEDxAustinWomen
https://www.youtube.com/watch?v=QzPbY9ufnQY
#tedx #ted #talk #motivational #speech #lizzie #velasquez #austin #define #yourself #self-worth #self-definition
A powerful TED talk about the power of microfinance for farmers #farming #TED #microfinance #development
Transcript of "The seeds of change helping African farmers grow out of poverty"
We need to talk about "We Need to Talk About TED"
The question: how can one distinguish quality information from entertainment.
There's a fundamental problem with democratic voting processes and voting systems (such as reddit's own post and moderation processes[2] -- which are, in their defense, better than most) in assessing who's qualified to make a judgement -- and then, of course, in determining who's qualified to assess who's qualified.
And there's the question of what to value: originality, relevance, insight, agreement, correctness, humor, entertainment? Slashdot's moderation system allowed for indicating which of these a particular comment fell under, though both the moderation and presentation failed to clearly differentiate and classify among them.
A long-simmering essay finally half-baked.