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Description
MACINA LYCAN 772 Di2frame Macina Lycan 27. 5" Alloy6061 140 PT750 Bosch BDU37 M2296 fork Suntour XCR34 Air 2CR 27,5 140 15AH2 rear shock RockShox Deluxe Select+ 230x62. 5 derailleur Shimano CUES Di2 U8050 11 SGS shadow shift levers Shimano CUES Di2 EN605 Switch brake front Tektro HD M750 E730 4 Piston brake rear Tektro HD M750 E730 4 Piston brake disc front Tektro TR 45 2. 3mm CL 203 brake disc rear Tektro TR 45 2. 3mm CL 180 rim front Ambrosio E30 Trail 32H 584x30TC rim
| frame | Macina Lycan 27.5" Alloy6061 140 |PT750 Bosch BDU37/M2296 |
| fork | Suntour XCR34 Air 2CR 27,5 140 15AH2 |
| rear-shock | RockShox Deluxe Select+ 230x62.5 |
| derailleur | Shimano CUES Di2 U8050-11 SGS shadow |
| shift-levers | Shimano CUES Di2 EN605 Switch |
| brake-front | Tektro HD-M750 / E730 4-Piston |
| brake-rear | Tektro HD-M750 / E730 4-Piston |
| brake-disc-front | Tektro TR-45 2.3mm CL 203 |
| brake-disc-rear | Tektro TR-45 2.3mm CL 180 |
| rim-front | Ambrosio E30 Trail 32H 584x30TC |
| rim-rear | Ambrosio E35 Trail 32H 584x35TC |
| tire-front | Schwalbe Nobby Nic Perf. Folding 65-584 |
| tire-rear | Schwalbe Nobby Nic Perf. Folding 65-584 |
| hub-front | Shimano TC500B CL 32H 110-15TA |
| hub-rear | Shimano TC500B CL 32H 148-12TA |
| spokes | DT Champion 2.0 black / DT Alpine II 2.34 black |
| handlebar | KTM COMP Trail35 rizer15 760mm |
| stem | KTM TEAM Trail35 |
| headset | Acros AICR intern 1.1/8"-1.5" angle lim |
| grips | KTM COMP Lock |
| saddle | KTM Line Sport |
| seat-post | KTM COMP dropper internal 30.9 T:120 |
| seat-clamp | KTM Line JD-SC140A - 35,0mm |
| crankset | KTM E-TRAIL ISIS 170mm Q16 |
| drive | KMC e11 Sport EPT e-bike |
| sprockets | Shimano LG400-11 / 11-50 |
| pedals | MTB-Pedal flat VPE-527 alloy |
| lock | ABUS integrated lock IT1 (X-Plus key) |
| motor | Bosch PERFORMANCE CX BDU3740 |
| battery | Bosch PowerTUBE 750Wh horizontal |
| battery-capacity | 750 |
| display | Bosch PURION 200 Display & Remote |
| charger | Bosch STANDARD Charger 4A |
| Geometrie | Klik hier voor de geometrie |
| Frame size | Klik hier voor de juiste maatvoering |
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4.2 ★★★★★
Based on 29 reviews
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Product Reviews
★★★★★ 4
Removing data from databases or datasets.
Format: Kindle
If the share a video or photo option was working I would share the screenshot. However, I'll quote it.
"Most of the adults on the list had never been charged, but once they were included, ther was no way to have their name removed."
This needs more clarification as you can delete data from a database. Especially if web based, there should be CRUD principles added. If that was not the case there's still ways to delete the data or even change it's classification. I will give benefit of the doubt that there's an underlying reason it was said there was no way to remove or that I even misunderstood the context around it. Just seems a little like reaching by this point.
Also, I do like this book and a fresh perspective on data collection even though at times it seems to read a little emotional for what I was expecting of an Atlas. Regardless looking past the verbiage of emotions, this is a great book that does point out a lot of history with AI. Thank you for creating this book! Also giving more data to the internet to be used for.... AI... lol
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Reviewed in the United States on November 27, 2024
★★★★★ 5
A must read for ALL world citizens A must read again!!
Format: Paperback
Fabulous book. Wide ranging, every page full of information that ALL modern citizens should already know or should learn as we go to green technologies and even more dependence on AI and computers. These techs look 'all clean' and 'socially fair' when in fact at every stage (she takes us from design, to engineering to mining, to sales to production of techs) in this 'atlas' of AI we see pollution, inequality, power relationships hidden just beneath the surface. The tip of the AI/computer/green tech iceberg looks all white and clean........the rest (the filth, pollution and inequaity) are all hidden away. Just a tremendous book and not too hard to read. This book should be required reading for all college students, whatever their field!
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Reviewed in the United States on August 16, 2023
★★★★★ 3
Embitterment in regard to AI
Format: Kindle
AI is one of the most important innovations in the last decades. But the author of this book claims that the current application of AI is bad. It requires computers that use rare material, the mining of which harms the environment, and it uses inaccurate training data, to list some of the arguments presented in this book. But when considering these drawbacks against AI's blessing (automatic translation, contribution to medical research, etc.), the criticism seems to be not justified. The author blames AI for searching order in an infinitely complex world (in the Conclusion chapter), but she ignores that this is exactly what science does. The book also includes many interesting reviews of the history of science and AI. I enjoyed very much reading these reviews.
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Reviewed in the United States on August 2, 2021
★★★★★ 5
Engaging study of the underpinnings of AI
Format: Kindle
This “atlas” maps what is often forgotten when discussing AI: material needs like the extraction of lithium and other minerals from the earth with the destruction of nature that requires and the workers, as well as the epistemological constraints of classification and the false proxies of data. The book is engagingly written and easy to follow while richly sourced. I’ll probably assign at least a couple of chapters to undergrads in our digital culture program. I would have loved an audio book version - but I listened to it using automatic text to speech on my phone and it was surprisingly not awful. This is the first time I’ve done that with a whole book.
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Reviewed in the United States on May 13, 2021
★★★★★ 5
It’s good
Format: Paperback
Good
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Reviewed in the United States on December 18, 2025