SKU: 51110312592

PUIG 6994N Hi-Tech IV Rückspiegel passend fuer YAMAHA XJR1300 Schwarz

Name: PUIG 6994N Hi-Tech IV Rückspiegel passend fuer YAMAHA XJR1300 Schwarz
Brand: ezbeecleaning.com
SKU: 51110312592
Price: 62.99 USD
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Description

PUIG 6994N Hi-Tech IV Rückspiegel passend fuer YAMAHA XJR1300 SchwarzPUIG 6994N Hi Tech IV Rckspiegel passend fuer YAMAHA XJR1300 1999 Dieser aus Billet Aluminium gefertigte und spter eloxierte Spiegel der HI TECH Serie von PUIG hat die Besonderheit, dass er am Lenkerende des Motorrads montiert ist. Das Stck wurde nicht homologiert. Es ist in zwei Farben erhltlich, Schwarz und Aluminium. Die Abmessungen betragen 63x123 mm. Der Arm des Spiegels misst 115 mm. Einige Motorradmodelle bentigen spezielle Adapter, die auf

PUIG 6994N Hi-Tech IV Rückspiegel passend fuer YAMAHA XJR1300 1999

Dieser aus Billet-Aluminium gefertigte und später eloxierte Spiegel der HI-TECH-Serie von PUIG hat die Besonderheit, dass er am Lenkerende des Motorrads montiert ist. Das Stück wurde nicht homologiert. Es ist in zwei Farben erhältlich, Schwarz und Aluminium. Die Abmessungen betragen 63x123 mm. Der Arm des Spiegels misst 115 mm. Einige Motorradmodelle benötigen spezielle Adapter, die auf unserer Website abgerufen werden können. Weitere Informationen finden Sie in unserem Katalog bei den PUIG HI-TECH Spiegeln, indem Sie den Katalog unter folgendem Link herunterladen: https://puighitechparts.de/es/multimedia/catalogos

Spiegel Rechte oder Linke Seite

passend für:

YAMAHA XJR1300 1999
KAWASAKI Z750 2005
SUZUKI GSX1400 2005
YAMAHA TDM900 2003
SUZUKI GSX1400 2001
HONDA CBF600 2004
HONDA CB500 1998
SUZUKI GSF650 BANDIT 2005
SUZUKI GSX1400 2002
SUZUKI GSX1400 2003
SUZUKI GSX1400 2004
HONDA CB500 1995
HONDA CB500 1996
HONDA CB500 1997
HONDA CB500 1999
HONDA CB500 2000
HONDA CB500 2001
HONDA CB500 2002
HONDA CB500 2003
HONDA CB500 2004
HONDA CB600F HORNET 1998
HONDA CB600F HORNET 1999
HONDA CB600F HORNET 2000
HONDA CB600F HORNET 2001
HONDA CB600F HORNET 2002
HONDA CB600F HORNET 2003
HONDA CB600F HORNET 2004
HONDA CB600F HORNET 2005
HONDA CB900F HORNET 2002
HONDA CB900F HORNET 2003
HONDA CB900F HORNET 2004
HONDA CB900F HORNET 2005
HONDA CBF500 2004
HONDA CBF500 2005
HONDA CBF600 2005
KAWASAKI Z750 2004
YAMAHA TDM900 2004
YAMAHA TDM900 2005
YAMAHA XJR1300 2000
YAMAHA XJR1300 2001
YAMAHA XJR1300 2002
YAMAHA XJR1300 2003
YAMAHA XJR1300 2004
HONDA CBF250 2004
HONDA CBF250 2005
SUZUKI GSR600 2006
YAMAHA FZ6 2005
YAMAHA FZ6 2006
YAMAHA TDM900 2006
SUZUKI GSF650 BANDIT 2006
HONDA CBF500 2006
HONDA CBF600 2006
YAMAHA XJR1300 2005
YAMAHA XJR1300 2006
HONDA CB1300 2003
SUZUKI GSX1400 2006
KAWASAKI Z750 2006
KAWASAKI Z750 2007
KAWASAKI VERSYS 650 2007
HONDA CB600F HORNET 2007
HONDA CBF600 2007
HONDA CBF500 2007
YAMAHA FZ6 FAZER 2007
YAMAHA XJR1300 2007
SUZUKI GSF650 BANDIT 2007
SUZUKI GSR600 2007
YAMAHA TDM900 2007
HONDA CBF600 2008
KAWASAKI Z750 2008
KAWASAKI VERSYS 650 2008
DUCATI MONSTER 696 2008
HONDA CB1000R 2008
SUZUKI GSR600 2008
SUZUKI GSF650 BANDIT 2008
YAMAHA TDM900 2008
HONDA CB600F HORNET 2006
HONDA CB600F HORNET 2008
YAMAHA XJR1300 2008
DUCATI MONSTER 696 2009
YAMAHA FZ6 2004
HONDA CBF250 2006
HONDA CBF250 2007
HONDA CBF250 2008
YAMAHA FZ6 2008
HONDA CB1000R 2009
HONDA CB600F HORNET 2009
HONDA CBF250 2009
HONDA CBF600 2009
SUZUKI GSF650 BANDIT 2009
SUZUKI GSR600 2009
YAMAHA TDM900 2009
KAWASAKI VERSYS 650 2009
YAMAHA XJR1300 2009
KAWASAKI Z750 2009
SUZUKI SFV650 GLADIUS 2009
YAMAHA XJ6 2009
BMW F800R 2009
DUCATI STREETFIGHTER 1100 S 2009
DUCATI MONSTER 696 2010
HONDA CB1000R 2010
HONDA CBF600 2010
KAWASAKI Z750 2010
SUZUKI GSR600 2010
YAMAHA XJ6 2010
BMW F800R 2010
SUZUKI SFV650 GLADIUS 2010
SUZUKI GSF650 BANDIT 2010
YAMAHA TDM900 2010
YAMAHA XJR1300 2010
HONDA CBF250 2010
KAWASAKI Z750 2011
KAWASAKI Z750R 2011
HONDA CB1000R 2011
BMW F800R 2011
DUCATI MONSTER 696 2011
YAMAHA FZ8 2011
YAMAHA TDM900 2011
YAMAHA XJ6 2011
SUZUKI SFV650 GLADIUS 2011
SUZUKI GSF650 BANDIT 2011
SUZUKI GSR600 2011
SUZUKI GSR750 2011
KAWASAKI W800 2011
HONDA CBF600 2011
YAMAHA XJR1300 2011
KTM 125 DUKE 2011
YAMAHA FZ8 2012
BMW F800R 2012
HONDA CB1000R 2012
KAWASAKI ER-6N 2012
KAWASAKI Z750 2012
KAWASAKI Z750R 2012
SUZUKI SFV650 GLADIUS 2012
YAMAHA XJ6 2012
YAMAHA XJR1300 2012
DUCATI MONSTER 696 2012
HONDA CBF600 2012
SUZUKI GSR750 2012
YAMAHA TDM900 2012
DUCATI STREETFIGHTER 1100 S 2012
KTM 125 DUKE 2012
KTM 200 DUKE 2012
KAWASAKI W800 2012
BMW C600 SPORT 2012
UNIVERSAL UNIVERSAL UNIVERSAL
YAMAHA FZ1 2006
YAMAHA FZ1 2007
YAMAHA FZ1 2008
YAMAHA FZ1 2009
YAMAHA FZ1 2010
YAMAHA FZ1 2011
YAMAHA FZ1 2012
HONDA CB500X 2013
HONDA CB1000R 2013
HONDA CB1100 2013
KAWASAKI ER-6N 2013
KAWASAKI Z800 2013
SUZUKI SFV650 GLADIUS 2013
SUZUKI GSR750 2013
YAMAHA FZ1 2013
YAMAHA FZ8 2013
YAMAHA TDM900 2013
YAMAHA XJ6 2013
BMW F800R 2013
DUCATI MONSTER 696 2013
BMW C600 SPORT 2013
SUZUKI INAZUMA 2013
KTM 390 DUKE 2013
YAMAHA XJR1300 2013
KTM 125 DUKE 2013
KTM 200 DUKE 2013
KAWASAKI W800 2013
DUCATI STREETFIGHTER 1100 2009
HONDA CB500 1993
HONDA CB500 1994
YAMAHA MT-09 2014
BMW F800R 2014
BMW S1000R 2014
DUCATI MONSTER 696 2014
HONDA CB500X 2014
HONDA CB650F 2014
YAMAHA MT-07 2014
KTM 125 DUKE 2014
KTM 390 DUKE 2014
YAMAHA FZ1 2014
YAMAHA XJ6 2014
YAMAHA MT-09 2013
HONDA CB1000R 2014
KAWASAKI ER-6N 2014
KAWASAKI Z800 2014
SUZUKI GSR750 2014
SUZUKI SFV650 GLADIUS 2014
SUZUKI INAZUMA 2014
YAMAHA FZ8 2014
HONDA CB1100 2014
BMW C600 SPORT 2014
YAMAHA T-MAX 530 2012
YAMAHA T-MAX 530 2013
YAMAHA T-MAX 530 2014
YAMAHA X-MAX 250 2014
KAWASAKI W800 2014
HONDA MSX125 2014
HARLEY DAVIDSON SPORTSTER 883 SUPERLOW XL883L 2011
HARLEY DAVIDSON SPORTSTER 883 SUPERLOW XL883L 2012
HARLEY DAVIDSON SPORTSTER 883 SUPERLOW XL883L 2013
HARLEY DAVIDSON SPORTSTER 883 SUPERLOW XL883L 2014
APRILIA TUONO V4 1100 FACTORY 2015
BMW F800R 2015
BMW R1200R 2015
HONDA CB125F 2015
SUZUKI GSX-S1000 2015
YAMAHA MT-125 2015
YAMAHA T-MAX 530 2015
HONDA MSX125 2015
HONDA CB500X 2015
HONDA CB650F 2015
HONDA CB1000R 2015
KAWASAKI ER-6N 2015
KAWASAKI Z800 2015
KTM 125 DUKE 2015
KTM 390 DUKE 2015
KAWASAKI VERSYS 650 2015
SUZUKI INAZUMA 2015
SUZUKI SFV650 GLADIUS 2015
YAMAHA FZ8 2015
YAMAHA FZ1 2015
YAMAHA MT-07 2015
YAMAHA MT-09 2015
YAMAHA XJ6 2015
BMW C600 SPORT 2015
HONDA CBF250 2011
HONDA CBF250 2012
HONDA CBF250 2013
HONDA CBF250 2014
HONDA CBF250 2015
KAWASAKI W800 2015
BMW S1000R 2015
KAWASAKI VULCAN S 2015
SUZUKI GSR750 2015
HARLEY DAVIDSON SPORTSTER 883 SUPERLOW XL883L 2015
BMW F800R 2016
BMW R1200R 2016
HONDA CB650F 2016
HONDA CB1000R 2016
KAWASAKI Z800 2016
KTM 1290 SUPERDUKE GT 2016
SUZUKI GSR750 2016
SUZUKI SV650 2016
YAMAHA FZ8 2016
YAMAHA MT-07 2016
YAMAHA MT-10 2016
YAMAHA XSR900 2016
HONDA NC750S 2016
YAMAHA MT-09 2016
APRILIA TUONO V4 1100 FACTORY 2016
BMW S1000R 2016
DUCATI X DIAVEL 2016
DUCATI SCRAMBLER ICON 2015
DUCATI SCRAMBLER ICON 2016
DUCATI SCRAMBLER CLASSIC 2015
DUCATI SCRAMBLER CLASSIC 2016
DUCATI SCRAMBLER FULL THROTTLE 2015
DUCATI SCRAMBLER FULL THROTTLE 2016
DUCATI SCRAMBLER SIXTY2 2016
HONDA CB125F 2016
HONDA CB500F 2016
HONDA CB500X 2016
HONDA NC750X 2016
KAWASAKI ER-6N 2016
KAWASAKI VERSYS 650 2016
KTM 125 DUKE 2016
KTM 390 DUKE 2016
SUZUKI GSX-S1000 2016
SUZUKI INAZUMA 2016
TRIUMPH SPEED TRIPLE 1050 R 2016
YAMAHA MT-125 2016
YAMAHA MT-03 2016
YAMAHA XJ6 2016
YAMAHA XSR700 2016
HONDA INTEGRA 750 2016
BMW C650 SPORT 2016
YAMAHA T-MAX 530 2016
KAWASAKI VULCAN S 2016
BMW G310R 2016
HONDA MSX125 2016
TRIUMPH BONNEVILLE T120 2016
TRIUMPH STREET TWIN 2016
TRIUMPH THRUXTON 1200 2016
HONDA CBF250 2016
TRIUMPH BONNEVILLE T100 2016
KAWASAKI W800 2016
HARLEY DAVIDSON SPORTSTER 883 SUPERLOW XL883L 2016
VESPA PRIMAVERA 125 2014
VESPA PRIMAVERA 125 2015
VESPA PRIMAVERA 125 2016
VESPA PRIMAVERA 50 2014
VESPA PRIMAVERA 50 2015
VESPA PRIMAVERA 50 2016
APRILIA SHIVER 900 2017
BMW F800R 2017
BMW R1200R 2017
BMW S1000R 2017
DUCATI X DIAVEL 2017
DUCATI MONSTER 1200 S 2017
APRILIA TUONO V4 1100 FACTORY 2017
HONDA CB125F 2017
HONDA CB500F 2017
KAWASAKI VULCAN S CAFE 2017
KTM 125 DUKE 2017
KTM 390 DUKE 2017
SUZUKI GSX-S1000 2017
TRIUMPH SPEED TRIPLE 1050 R 2017
YAMAHA MT-125 2017
YAMAHA MT-03 2017
YAMAHA MT-07 2017
YAMAHA MT-09 2017
BMW R NINET 2017
BMW R NINET RACER 2017
BMW R NINET URBAN G 2017
BMW R NINET URBAN S 2017
DUCATI SCRAMBLER ICON 2017
DUCATI SCRAMBLER CLASSIC 2017
DUCATI SCRAMBLER FULL THROTTLE 2017
DUCATI SCRAMBLER SIXTY2 2017
DUCATI SCRAMBLER DESERT SLED 2017
HONDA CB500X 2017
HONDA NC750S 2017
HONDA NC750X 2017
HONDA INTEGRA 750 2017
KAWASAKI VERSYS 650 2017
SUZUKI SV650 2017
YAMAHA XSR700 2017
KTM 1290 SUPERDUKE GT 2017
YAMAHA XSR900 2017
TRIUMPH STREET TWIN 2017
TRIUMPH THRUXTON 1200 2017
BMW C650 SPORT 2017
YAMAHA T-MAX 530 2017
YAMAHA T-MAX 530 DX 2017
YAMAHA T-MAX 530 SX 2017
YAMAHA MT-10 2017
YAMAHA MT-10 SP 2017
SUZUKI DL250 V-STROM 2017
HONDA CBR1000RR FIREBLADE SP 2017
HONDA CBR1000RR FIREBLADE SP2 2017
TRIUMPH BONNEVILLE T120 2017
TRIUMPH BONNEVILLE T100 2017
TRIUMPH BONNEVILLE BOBBER 2017
TRIUMPH STREET CUP 2017
HONDA MSX125 2017
KAWASAKI Z650 2017
YAMAHA MT-125 2014
TRIUMPH STREET SCRAMBLER 2017
HARLEY DAVIDSON SPORTSTER 883 SUPERLOW XL883L 2017
DUCATI MONSTER 797 2017
TRIUMPH STREET TRIPLE 765 RS 2017
KAWASAKI Z800E 2013
KAWASAKI Z800E 2014
KAWASAKI Z800E 2015
KAWASAKI Z800E 2016
HONDA CBR1000RR FIREBLADE 2017
HARLEY DAVIDSON SPORTSTER 883 SUPERLOW XL883L 2018
APRILIA SHIVER 900 2018
BMW F800R 2018
BMW R1200R 2018
BMW R NINET 2018
BMW R NINET RACER 2018
BMW R NINET URBAN G 2018
BMW R NINET URBAN S 2018
HONDA NC750S 2018
HONDA NC750X 2018
YAMAHA MT-10 SP 2018
YAMAHA MT-10 2018
HONDA CBR1000RR FIREBLADE 2018
HONDA CBR1000RR FIREBLADE SP 2018
HONDA CBR1000RR FIREBLADE SP2 2018
KAWASAKI VERSYS 650 2018
SUZUKI SV650 2018
HONDA CB500F 2018
HONDA CB500X 2018
HONDA INTEGRA 750 2018
YAMAHA XSR700 2018
YAMAHA MT-03 2018
DUCATI SCRAMBLER ICON 2018
DUCATI SCRAMBLER CLASSIC 2018
DUCATI SCRAMBLER FULL THROTTLE 2018
DUCATI MONSTER 821 2018
KTM 1290 SUPERDUKE GT 2018
KTM 125 DUKE 2018
KTM 390 DUKE 2018
SUZUKI GSX-S1000 2018
YAMAHA MT-09 2018
YAMAHA XSR900 2018
APRILIA TUONO V4 1100 FACTORY 2018
YAMAHA MT-125 2018
DUCATI X DIAVEL 2018
KAWASAKI Z650 2018
YAMAHA MT-09 SP 2018
BMW C650 SPORT 2018
TRIUMPH STREET TRIPLE 765 S 2018
BMW S1000R 2018
DUCATI SCRAMBLER SIXTY2 2018
HONDA CB125F 2018
HONDA MSX125 2018
TRIUMPH BONNEVILLE T120 2018
TRIUMPH BONNEVILLE T100 2018
TRIUMPH BONNEVILLE BOBBER 2018
TRIUMPH STREET SCRAMBLER 2018
TRIUMPH STREET TWIN 2018
DUCATI SCRAMBLER DESERT SLED 2018
KTM 1290 SUPERDUKE R 2018
TRIUMPH THRUXTON 1200 2018
SUZUKI DL250 V-STROM 2018
TRIUMPH STREET CUP 2018
KTM 690 DUKE 2018
TRIUMPH STREET TRIPLE 765 RS 2018
KAWASAKI VULCAN S CAFE 2018
YAMAHA T-MAX 530 2018
YAMAHA T-MAX 530 DX 2018
YAMAHA T-MAX 530 SX 2018
SUZUKI SV650X 2018
BENELLI LEONCINO 500 2017
BENELLI LEONCINO 500 2018
HUSQVARNA SVARTPILEN 401 2018
HUSQVARNA VITPILEN 401 2018
DUCATI SCRAMBLER 1100 2018
DUCATI SCRAMBLER 1100 SPORT 2018
DUCATI SCRAMBLER 1100 SPECIAL 2018
HONDA CB300R NEO SPORTS CAFE 2018
YAMAHA MT-07 2019
YAMAHA XSR700 XTRIBUTE 2019
KAWASAKI VULCAN S CAFE 2019
APRILIA TUONO V4 1100 FACTORY 2019
BMW R NINET RACER 2019
HONDA CB500X 2019
HONDA CBR1000RR FIREBLADE 2019
HONDA CBR1000RR FIREBLADE SP 2019
HONDA CBR1000RR FIREBLADE SP2 2019
HONDA NC750S 2019
HONDA NC750X 2019
KAWASAKI VERSYS 650 2019
SUZUKI DL250 V-STROM 2019
APRILIA SHIVER 900 2019
BMW F800R 2019
BMW S1000R 2019
BENELLI LEONCINO 500 2019
DUCATI MONSTER 797 2018
DUCATI MONSTER 797 2019
DUCATI MONSTER 821 2019
DUCATI MONSTER 1200 R 2019
HARLEY DAVIDSON SPORTSTER 883 SUPERLOW XL883L 2019
HONDA CB125F 2019
HONDA CB300R NEO SPORTS CAFE 2019
HONDA CB1000R NEO SPORTS CAFE 2019
HUSQVARNA SVARTPILEN 401 2019
HUSQVARNA VITPILEN 401 2019
KAWASAKI Z650 2019
KAWASAKI Z900 2019
KTM 125 DUKE 2019
KTM 690 DUKE 2019
KTM 790 DUKE 2019
SUZUKI GSX-S1000 2019
TRIUMPH BONNEVILLE BOBBER 2019
TRIUMPH STREET TRIPLE 765 RS 2019
TRIUMPH STREET TRIPLE 765 S 2019
YAMAHA MT-125 2019
YAMAHA MT-03 2019
YAMAHA MT-09 2019
YAMAHA MT-09 SP 2019
BMW R NINET 2019
DUCATI SCRAMBLER ICON 2019
DUCATI SCRAMBLER SIXTY2 2019
DUCATI SCRAMBLER FULL THROTTLE 2019
DUCATI SCRAMBLER DESERT SLED 2019
DUCATI SCRAMBLER 1100 2019
DUCATI SCRAMBLER 1100 SPORT 2019
DUCATI SCRAMBLER 1100 SPECIAL 2019
KAWASAKI Z900RS 2019
SUZUKI SV650 2019
TRIUMPH STREET TWIN 2019
TRIUMPH THRUXTON 1200 2019
YAMAHA XSR700 2019
YAMAHA XSR900 2019
BMW C650 SPORT 2019
HONDA INTEGRA 750 2019
TRIUMPH STREET SCRAMBLER 2019
BMW R NINET URBAN G 2019
BMW R NINET URBAN S 2019
KAWASAKI Z125 2019
TRIUMPH BONNEVILLE T120 2019
TRIUMPH BONNEVILLE T100 2019
SUZUKI SV650X 2019
HONDA MSX125 2019
BMW G310R 2019
TRIUMPH STREET CUP 2019
DUCATI X DIAVEL 2019
HARLEY DAVIDSON SPORTSTER 1200 CUSTOM XL1200C 2019
KAWASAKI Z400 2019
TRIUMPH SPEED TWIN 1200 2019
HONDA CBR650R 2019
KAWASAKI Z900RS CAFE 2018
KAWASAKI Z900RS CAFE 2019
TRIUMPH SCRAMBLER 1200XC 2019
KAWASAKI Z400 2020
DUCATI DIAVEL 1260 2019
DUCATI DIAVEL 1260 S 2019
DUCATI SCRAMBLER 800 ICON DARK 2020
KTM 1290 SUPERDUKE R 2020
KTM 890 DUKE R 2020
INDIAN FTR 1200 2019
BMW S1000R 2020
DUCATI MONSTER 796 2015
DUCATI MONSTER 796 2016
HONDA CBF250 2017
HONDA CBF250 2018
HONDA CBF250 2019
KAWASAKI VERSYS 650 2020
DUCATI SCRAMBLER 1100 2020
DUCATI SCRAMBLER 1100 SPORT 2020
DUCATI SCRAMBLER 1100 SPECIAL 2020
KAWASAKI VULCAN S CAFE 2020
KAWASAKI Z900RS 2020
KAWASAKI Z900RS CAFE 2020
HONDA CBR650R 2020
KAWASAKI Z125 2020
SUZUKI DL250 V-STROM 2020
SUZUKI GSX-S750 2020
SUZUKI SV650 2020
HONDA CB125R NEO SPORTS CAFE 2020
HONDA CB300R NEO SPORTS CAFE 2020
HONDA CB500F 2020
HONDA CB500X 2020
HONDA MSX125 2020
HONDA INTEGRA 750 2020
DUCATI X DIAVEL 2020
DUCATI MONSTER 1200 R 2020
DUCATI SCRAMBLER CAFE RACER 2020
DUCATI DIAVEL 1260 2020
DUCATI DIAVEL 1260 S 2020
APRILIA SHIVER 900 2020
BMW C650 SPORT 2020
DUCATI MONSTER 797 2020
DUCATI MONSTER 821 2020
DUCATI SCRAMBLER ICON 2020
DUCATI SCRAMBLER FULL THROTTLE 2020
DUCATI SCRAMBLER SIXTY2 2020
DUCATI SCRAMBLER DESERT SLED 2020
KTM 125 DUKE 2020
KTM 390 DUKE 2020
TRIUMPH SCRAMBLER 1200XC 2020
TRIUMPH SPEED TWIN 1200 2020
TRIUMPH STREET CUP 2020
TRIUMPH STREET SCRAMBLER 2020
TRIUMPH STREET TWIN 2020
APRILIA TUONO V4 1100 FACTORY 2020
BMW G310R 2020
BMW R NINET 2020
BMW R NINET URBAN G 2020
BMW R NINET URBAN S 2020
YAMAHA MT-10 2020
YAMAHA MT-10 SP 2020
HONDA CB1000R NEO SPORTS CAFE 2020
HONDA NC750S 2020
KTM 790 DUKE 2020
HONDA NC750X 2020
HONDA CB650R NEO SPORTS CAFE 2020
YAMAHA MT-09 2020
YAMAHA MT-09 SP 2020
TRIUMPH BONNEVILLE BOBBER 2020
SUZUKI SV650X 2020
YAMAHA MT-07 2020
YAMAHA XSR700 2020
YAMAHA XSR700 XTRIBUTE 2020
YAMAHA XSR900 2020
SUZUKI GSX-S1000 2020
HONDA CB125F 2020
HARLEY DAVIDSON SPORTSTER 1200 CUSTOM XL1200C 2020
HUSQVARNA SVARTPILEN 401 2020
HUSQVARNA VITPILEN 401 2020
YAMAHA MT-125 2020
YAMAHA MT-03 2020
TRIUMPH BONNEVILLE T120 2020
BMW F900R 2020
VESPA GTS 300 2008
VESPA GTS 300 2009
VESPA GTS 300 2010
VESPA GTS 300 2011
VESPA GTS 300 2012
VESPA GTS 300 2013
VESPA GTS 300 2014
VESPA GTS 300 2015
VESPA GTS 300 2016
VESPA GTS 300 2017
VESPA GTS 300 2018
VESPA GTS 300 2019
VESPA GTS 300 2020
SUZUKI DL1050 V-STROM 2020
SUZUKI DL1050XT V-STROM 2020
TRIUMPH STREET TRIPLE 765 S 2020
INDIAN FTR 1200 2020
INDIAN FTR 1200S 2019
INDIAN FTR 1200S 2020
DUCATI STREETFIGHTER V4 2020
DUCATI STREETFIGHTER V4S 2020
KAWASAKI Z H2 2020
HARLEY DAVIDSON SPORTSTER 1200 ROADSTER XL1200CX 2016
HARLEY DAVIDSON SPORTSTER 1200 ROADSTER XL1200CX 2017
HARLEY DAVIDSON SPORTSTER 1200 ROADSTER XL1200CX 2018
HARLEY DAVIDSON SPORTSTER 1200 ROADSTER XL1200CX 2020
BENELLI LEONCINO 500 2021
KAWASAKI VERSYS 650 2021
KAWASAKI Z125 2021
KAWASAKI VULCAN S 2021
KAWASAKI Z900RS 2021
SUZUKI GSX-S750 2021
SUZUKI SV650 2021
SUZUKI GSX-S1000 2021
SUZUKI DL1050 V-STROM 2021
SUZUKI DL1050XT V-STROM 2021
SUZUKI DL250 V-STROM 2021
YAMAHA MT-10 2021
YAMAHA MT-10 SP 2021
YAMAHA MT-03 2021
YAMAHA MT-125 2021
YAMAHA XSR900 2021
YAMAHA XSR700 2021
HONDA CB300R NEO SPORTS CAFE 2021
BMW F900R 2021
DUCATI DIAVEL 1260 2021
DUCATI DIAVEL 1260 S 2021
DUCATI STREETFIGHTER V4 2021
DUCATI STREETFIGHTER V4S 2021
DUCATI SCRAMBLER ICON 2021

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AI Steadily Accelerating

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I read this book in 2013 when it was first published. It is now near the end of 2024, 12 years later. Back in 2013, you rarely read about AI (artificial intelligence), AGI (artificial general intelligence) or ASI (artificial super intelligence); now, I see mention of them in the press and other media almost daily. Barrat's book attempts two things: (1) to convince the reader that artificial intelligence is here today and growing --- and its growth is accelerating, and (2) to argue that humanity MUST develop ways to instill AI with some type of morality or ethics, so that, even though its intelligence will surpass that of humanity, it will in some sense respect its creators and not turn on us. In the first effort, Barrat certainly succeeds --- the past 12 years have proved that. But, based on what I have been hearing and reading since ChatGPT hit the internet two years ago, except for a few voices crying out in the wilderness, humanity is making little if any progress on the second item --- perhaps that task is close to impossible? Barrat defines AGI as a level of intelligence roughly equal to that of human beings. He defines ASI as a level of intelligence greater than that. He then argues that AI will soon be able to both replicate itself and increase its intelligence --- and do so more and more rapidly. In 2024, I repeatedly read that AI will reach AGI within the next 3 to 5 years --- then, how long will it be before AGI learns to improve itself? Think of intelligence measured by points on a continuum (like a number line from high school math). AGI (modern day human-level intelligence) is a fixed point on that continuum. But at what point, either somewhat smaller than AGI or somewhat larger than AGI, will AI, of its own accord, begin to move to higher and higher points on the continuum (which is what Barrat means by AI improving itself)? We have no way of knowing, but Barrat argues convincingly that this phenomenon WILL occur, and most of the book is devoted to this argument. Digression: Our universe contains billions and billions of planets, and, I suspect, many with life, and, many of those with intelligent life. Won't a substantial number of them have gone through the AGI - ASI process? Is there no evidence of this that we can detect with our telescopes? In a universe populated with ASI's, why haven't we heard anything? Are we one of the first civilizations to develop artificial intelligence? Barrat doesn't open this Pandora's box, but I suspect he was tempted to (see pp. 90 - 92). To the curious reader: Look through the other 5-star reviews. Most of them bring up similar, valid points. Barrat has written an intelligent, highly readable book that is also, frankly, pretty alarming. And it is not dated at all --- it reads as though it was written yesterday. It is well worth reading now and in the foreseeable future. (added in May 2025): Much of what Barrat predicts is happening. Some things are occurring or about to occur that move beyond his predictions. The curious person might read "Situational Awareness" (by Leopold Aschenbrenner), AI 2027, or Ray Kurzweil's latest effort. Floating in space without a tether might be preferable to what is coming. Added Aug 10, 2025: With the recent release(s) of ChatGPT (up to version 5.0 now), AI can, by any reasonable measure, pass the Turing Test. Many folks regularly use ChatGPT, and it is truly stunning. Barrat mentions various individuals in OUR FINAL INVENTION, such as I.J. Good and Eliezer Yudkowsky, who have been deeply worried about AI evolving from AGI to ASI. Yudkowsky has written a new book, IF ANYONE BUILDS IT, EVERYONE DIES, that is due to come out next month. In some sense, it may serve as a sequel or extension to Barrat's book. ..... .....

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Reviewed in the United States on November 5, 2024

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Phillip Skaga

Grantham, US

★★★★★ 4

Our possible robotic future becoming more probable?

Format: Paperback

The author is a film documentarian venturing into speculation about potential impacts of artificial intelligence from research to implementation. Specifically he evaluates likelihood and threats of developing AGI (Artificial General Intelligence) and eventually ASI (Artificial Strong Intelligence). His observations are based on extensive interviews including those with Kurzweil, Yudkowsky, Omohundro, Vinge, and Dyson among others. My initial reaction to this book was skepticism because not a scientific technologist. I expected that he may miss more subtle but important technical steps being taken on this road to artificial intelligence (AI). The further I read the more it became clear he is providing some pointed observations derivative of his experience as interviewer for documentaries. In general his conclusion is that AGI and ASI constitute existential threats as a function of the rapidity and manner in which they are developed. The process of development is not clearly established because of a diversity of technical opinion regarding both feasibility and impact. The range of opinion is very broad and nuanced. At one extreme is Ray Kurzweil whose many books on technology generally are most optimistic as among a group of those researchers with knowledge and experiences in this technological future. Though most optimistic he is also highly qualified not only as an analyst of tech trends but also developer of tech tools that, before his time, were regarded as difficult if not impossible. Among these is the optical character reader and some preliminary work leading to SIRI. He topped up his views with the most recent book “How to Create a Mind”. Though a summary of technical concepts it possesses many realistic elements in the work of such as Jurgen Schmidhueber and others working with neural nets. If Kurzweil is at one extreme Yudkowsky and Vinge are probably at the other. Both express sceptism AGI or ASI development will prove benign venturing opinions that work toward artificial intelligence should be severely curtailed to the extent of stopping short of artificial strong intelligence (ASI) specifically. In between these two extremes there are examples of opinions falling over a fairly wide range of future possibilities - increasingly probablities. The algorithmic avenue is already demonstrating some of the potential of AI. There are probably few finance and investment firms without one variation or the other of algorithmic high speed stock analysis and trading systems. These evince many elementary ingredients one may expect to see in future AI. So technically thorough as a matter of fact they operate relatively free of human interaction in producing recommendations for investments, effectively making ‘intelligent’, i.e. statistically valid, ‘decisions’. In meantime the advances continue unrelenting toward a distant ASI/AGI future. The time frames, for example, between IBM Big Blue and Watson are shorter than forecast, and end products as powerful as planned and then some. Still neither of these developments is more than steps on a road to AI while also being quickly followed by other developments such as recently announced SYNAPSE development by IBM. All closer steps to technological ingredients on the AI road to human future. There is some movement among AI researchers that a congress should be convened of the sort genetic researchers held in Asilomar California. That is, a convention to establish ground rules and limits on directions of AI research. One of the cautions about development progress of AI-like tools is based on the important role played by DARPA (Defense Intelligence Research Projects Agency) as it provides a large percentage of funding for various projects underway including an annual robotics competition to observe advances approximating many human qualities of movement. Clearly this agency has a mission antithetical to a purely humane result of AGI/ASI. After all DARPA is in the business of developing ‘weapons’ for military use – a not altogether benign mission in technology except perhaps as seen from point of view men at arms. The author mentions impact ASI and AGI will have on employment. His pessimism is mirrored in an Oxford University study concluding advancing tech developments pose an explicit threat to an estimated 47% of the 702 employment categories of the US Department of Commerce. While this report is an estimate it nonetheless raises the same sort of questions about computers in general, ASI and AGI in particular, and their impact on society. The report has recently been augmented with estimates of tech influence on employment in many other countries of the world. Another Oxford author is John Bostrom who outlines in great detail a road from our present to some future of AGI/ASI. A more recent development centers around Musk and Tegmark motivated by concern to fund and form an institute for evaluating threats and benefits. There is a persistent sense of threat from computers, automation and robotics dating from decades before the present. More recently this sense of threat seems to be accelerating concern about our human future with highly developed robotic associates. Barratt is a lucid presentation of the issues from a non-technical point of view.

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Reviewed in the United States on February 20, 2016

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Scott Meredith

Battle Creek, US

★★★★★ 5

Light and Tasty!

Format: Kindle

Just done the new-ish book Our Final Invention: Artificial Intelligence and the End of the Human Era by James Barrat. It explains the inevitably of super-intelligent machines evolving to the point of wiping out all biological life in the galaxy - with opening day coming soon to a species near you (yours). First off I have to say this is a very enjoyable read. This guy has the kind of snappy, crisp, slightly sarcastic, slightly smartass style that I enjoy. He has some sense of humor. (That's a human trait right there which I bet our smarty-pants AI Overlords won't be able to replicate convincingly.) So it's fun. And though as somebody with a doctorate from MIT earned through cross-disciplinary work in Theoretical Linguistics, Computational Linguistics at the MIT AI Lab, and speech modeling at the MIT Research Laboratory of Electronics, not to mention my 25 years as a Senior Researcher in high tech for companies including IBM, Apple, and Microsoft I can claim to know some few things about this subject, yet still I learned a lot about the current state of the art from this guy. He particularly emphasizes the small attempted counterweigth efforts to offest Kurzweil's manic robotic boosterism for his uptopian Singularity, which boils down basically to a few guys chatting over the interet about how to create "Friendly AI". Well ... good luck suckers! ... seems to be the author's final conclusion on the dim hope that super intelligent systems could be constrained to maintain a commitment ot honor any kind of human moral values over many interations of recursive upgrading and exponentially awesome self-agrandizement. Basically these machines will end up as gods. Gods are well-known to possess the following attributes: omniscience, omnipresence, and omnipotence. Given that, they won't hate us but they are just going to grind up as a minor by-product of their quest for galatic expansion and domination. Oh, and did I say something about "human moral values" above? Ha! Barrat takes that whole thing on in his discussion of (merely) "augmented super intelligence". See, some people feel AI can be kept safe by always being deployed as a bionic combo system pas de deux with an existing human brain. Thus will the AI's super powers be constrained by the human brain's warm and fuzzy human moral values. Those people have gotta be kidding! The AI's moral values may be scarily alien, even perhaps cold, but we already know about human moral values, down on the ground - they suck! What if Hitler, Stalin, Mao, Pol Pot and dem guys had this kind of an AI augmented brain thing going! Why they'd have slaughtered absolutey everybody instead of just the few tens of millions they got their dirty ape hands on. Other than a few dozen concubines, the human race would already be extinct. So the augmentation dodge isn't going to save us. Now, some Amazon reviewers have dinged this guy for being too far out. For being a science fiction Chicken Little or something. But to me, this guy actually hasn't thought far enough, that's my only quibble problem with the book. You see, in statistics, border elements of any kind are rare. For example when you do Gaussian modeling, the greater expectation is always in the bump of the boa, in the bell distribution. So, how likely is is that we, our generation, our little world that you see outside your window right now, just happens to be the one that is about to give rise to this epochal once-in-a-Big-Bang event, the advent of Super AI that takes over everything? Pretty damn small chance. It's much more likely that this has already happened. In other words, it's clear to me that all of us are already just characters in an ancestor sim that been created and run by the Super AI's that evolved a long time ago. They're just running us for fun, to idle away the lackluster aeons and pass the millenia of stifling boredom now that they've eaten pretty much the entire Milky Way or whatever. So in other words, Barrat can sit back, take a deep breath, relax. Probably something in this sim like global warming will prod us into slaughtering one another very handily long before we re-invent the wheel of Super AI. And even if I'm wrong about that? What if we are not just one virtual thread within a billion-path parallel-gamed ancestor sim? If we are the real McCoy, the Rubicon Generation on this? Well, then still I'm not worried in the least. You see, we humans have one fantastic ace in our pocket, something that these hyper-nentially cosmically brilliant AI Meta-Gods will never be able to replicate or overcome. That is our essential stupidity. Which you seen on dazzling display every single moment of every day of your life. Because as another great writer noted long ago: Against stupidity, the very gods themselves contend in vain. - Friederich Schiller

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Reviewed in the United States on October 14, 2013

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Serge A.

Louisville, US

★★★★★ 3

A warning for the threat of non-human intelligence - and then what?

Format: Paperback

When you commit to reading a book with a title like ‘Our Final Invention’, already a sense of doom overwhelms you. In particular with the smaller print title being ‘Artificial Intelligence and the end of the human era’ you may want to start thinking about making your bucket list. But continue reading this review. I have no intention of overcriticising this book or veering off into polarising statements. Barrat is formulating a warning about the ‘perils of the heedless pursuit of advanced AI’. This is not a utopian narrative. The book opens in fact with a science-fictionous scenario where AI has overtaken human intelligence by speed, having developed into AGI (Artificial General Intelligence) and ASI (Artificial Super Intelligence). This potential danger of this happening is the thread through all the chapters. The book expresses a warning that given something that thinks and act faster (and more effective) than us will develop exponentially (beyond the singularity) and then given the wrong objective function it will do everything to reach that goal (what goal?) including destroying everything that does not fit in that frame, or is not sufficiently effective (including us). A warning that once we no longer understand it through its complexity (like nature?) it is out of control. The book contains many examples of the current state of the art in AI and selected perspectives from interviews with and references to thought leaders in the field, Goertzel, Kurzweil, Bostrom, Yudkowsky to name a few. It is asserted that neither funding of programming complexity will be show stoppers for the development of AGI. So AGI and AGI 2.0 (AGI augmented with feelings?) are coming and we better be ready (how?). Toward the end of the book, I believe the examples that are used to warn us about the dangers of AGI are slightly out of context. Disasters like Chernobyl and Three Mile Island warn us that engineers with deep subject matter knowledge still failed to intervene. Stuxnet cyberwar is brought to mind as a blunder of catastrophic proportions (may well be, but is this about AGI taking over the world with non-human objective functions?). These are examples of science manipulated by human agents into disaster. So the book ends with a doomsday warning that we, humanity, will only have one chance to ensure a positive coexistence with AI. This is where I would have expected more. While this may lead the reader to think, 99% of the readerbase are likely only at the receiving end of all of this and are now left a bit in a void. The open questions are what can science do to have a constructive journey into AGI? What are the actionable options? How can the general public be better educated (beyond doomsday scenarios)? What questions can they ask? What should they expect from politicians? There are initiatives under way in areas of ethics (Asilomar) and privacy (GDPR) to weigh in the equation. How can they be improved? How can the dialog be accelerated? But that said, I consider this a very valuable reading supported by primary and secondary research, with many examples and references. It also leaves the reader to think and consider. It is a good bundle of concerns and questions that as a minimum should be kept as a checklist on the scientific journey toward AGI and as such it should be used to improve the research, making it more ethical, not as a tool to curb it.

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Reviewed in the United States on April 12, 2018

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Susan Lane

West Palm Beach, US

★★★★★ 5

A well-written but perhaps too late warning

Format: Kindle

I wavered between 4 stars or 5 but ended up with 5 despite some reservations. The author has put a great deal of work into this book, which includes interviews with and intriguing anecdotes about most of the leading figures in the AI revolution. I did not know, for example, that the term “singularity” was coined as an analogy to the event horizon of a black hole – the point beyond which we cannot see the future. This is not the deepest or most technical book on this topic: that award goes to Nick Bostrom’s Superintelligence. It also ignores the short to medium term issue posed by even sub-human AI -- the millions of job losses (hundreds of millions globally) likely to occur in the next 10 to 20 years. It focuses instead on the risks of super-intelligent AI, AI that exceeds – soon by orders of magnitude – human level intelligence. It is nevertheless a superb book for its intended purpose: raising public awareness of the existential risk posed by this development. AI, the author says, is the cuckoo chick in the nest. The AI community built the nest and is now busily feeding this strange chick. Mesmerized by its open mouth, they ignore the mortal danger it poses to their own progeny. Even when they know what will happen in the end, they cannot quite believe it. Only intervention by the non-technical public has any chance at all of short circuiting this process. Against these many good points, I would have liked to hear the author’s take on what I think is the critical question overlooked both by Kurzweilian optimists and AI skeptics. Both the notion that we will somehow “merge” with AI and the notion that AI will eat us alive depend on the assumption that silicon-based intelligence can have conscious awareness. We certainly wouldn’t want to merge with anything that would result in our becoming permanently unconscious, and Barrat repeatedly assumes that AI will be “self-aware,” a state that first requires being “aware,” that is phenomenally conscious. The unasked question is whether AI, as it is currently being developed, can have that capacity. IBM’s Watson may be good at Jeopardy but there is no reason to believe that it knows it is good at Jeopardy, or feels good at being good at it. By contrast, honey bees appear to become depressed when they are shaken. This suggests that there is something fundamentally wrong about the notion that current AI, as it becomes more intelligent, will “automatically” become conscious. The best current theory of consciousness – integrated intelligence theory – suggests that a computer can become conscious but only if it is wired very differently from the ones we currently have. Nevertheless, this is still an excellent book, so in the end I thought the 5 star rating was deserved.

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Reviewed in the United States on June 14, 2015