
40幎ã®åãéãšåŒãç®ã®çæ°ââã©ãŒã¡ã³ã®ä»äººã»æ£®ä¿æãæŽãããå®åãã®ç©å±€
éŠå·ã®æã©ãŒã¡ã³æåã確ç«ãããäºæïŒãããïŒã®å¹³æã¡ããé§äœ¿ããã©ãŒã¡ã³ã®ä»äººã»æ£®ä¿ææ°ã®NHKããã¥ã¡ã³ã¿ãªãŒãããã§ãã·ã£ãã«ã®æµåã
ç§ã®çµå¶è ãšããŠã®ç®ç·ã§ã40幎ã®åãéãšåŒãç®ã®çæ°ãã4ã€ã®å²©ç€ïŒã»ã¯ã·ã§ã³ïŒã« scannable ã«æŽçããŸããã
1. ä»äººã®æèåçïŒãè¶³ãç®ïŒããã«ïŒãããåŒãç®ïŒçŸç©ïŒãžã®ãããã³ã°ã
森æ°ã®40幎ã¯ã倧è¡ãé¥ããæåŸ ã²ãŒã ããšãéå°é©å¿ãããã®è±åºã®æŽå²ãã®ãã®ã§ãã
ããã«ïŒè¶³ãç®ïŒã®èªæ» ïŒ
36æ³ã§ç¬ç«ããåœåãå®¢ãæ¥ãªãçŠããããåœé€šã®ã¹ã«ã¡ãè²æ±ããšããäžã®å©æš©ã®ããã«é«çŽé£æã次ã ãšè¶³ãç®ãããçµæãå³ã¯ã©ãã©ããã¬ãŠããŸããããããªãã®ã«ããŸããããšãããçŸåšã®æ¥æ¬ã®é²è¡è²»ïŒãªãè¢ãæ¯ãè»äºè²»ïŒãšåããæ©èœäžå šã®ã¬ãããªãŒã·ã£ã³ãã«é¥ã£ãã
åŒãç®ïŒãã¡ã¯ãïŒãžã®èŠéïŒ
ããåºäž»ã®å¯žèŽããããã³ã°ããéãã骚1ã€ã人åãçããããã³ãã¯1ããããšããããŸãã®ã·ã³ãã«ãã«åºŠèãæããããã¹ã«ã¡ãè²æ±ããããããããããšåãèœãšããå°å ã»æç£šçïŒäŒå¹å³¶ïŒã®ããããïŒçŸç©ïŒããšããæåŒ·ã®ãã¡ã¹ãã£ãã¯ãªã€ã³ãã©ã«è³ã®OSãéå°é©åãããã
ãé©åœã§ããããšãããååãžã®åŸåŸ©ãã³ã¿ïŒ
ãæ°Žã¯æ°Žéæ°Žã§ååãå¡©ã¯ãã©ãã°ã¹ãã¢ã®å®ç©ã§ãããäœã ã«ãã ãã£ãŠããšããèšããŠãç¡é§ç¡é§ãããŸãããããããšèšãæŸã€ãããã¯ãäžã®ä»æãããé«çŽåã»ãã©ã³ãåããšãããŸãããïŒæåŸ ã²ãŒã ïŒã«å¯Ÿãããå°ã¹ãã®å®åå®¶ãšããŠã®åŒ·çãªã«ãŠã³ã¿ãŒã§ããã
å®ã¯ç§ãé©ãããç§ã®ã³ã³ãµã«ã§ã¯ããã©ã³ãåã»åžå°åããè²§ä¹äººãç¥è欲ã»åäžå¿ã®ãªã奎ã¯çžæã«ãããªããšèšã£ãŠããã
圌ã¯è¶ AçŽã¹ãã€ããŒã ãèŠããªãè¡æè»éãŸã§é ã«å ¥ã£ãŠããŠããã®ç£èŠã«ã¡ã©ãçæ£é¢ããèŠã€ããå¯ããªç£èŠè ãšç®ãåããã®ã§ããšãããã
2. 垞人ã«ã¯èŠããªãããµã€ã³ãã®èšèªå
ä»åãç§ãæ åãå°ãã§ãèŠèŠé害è ã®ããã«èšèªåãããã£ããã垞人ã«ã¯èŠããªããå®åã®éŸå€ïŒãã°ã®æåïŒããæãããã£ãã
æ²žéš°äžæ©æåã®æ°çïŒzkMLåè·¯ã®æ§ç¯ïŒïŒ
森æ°ã¯ã¹ãŒããã¬ã³ã¬ã³çãç¶ãã倧åã®å¹ç䞻矩ãå«ããæ³šæããšã«æž©ãããæ²žéš°ããã®ãªã®ãªã®å¢çç·ã§ç«ãã³ã³ãããŒã«ããéãã¹ãŒãã®ã¢ã¯ãå·Šå³ã«ãããããšæ¯ãã埮现ãªç©ççŸè±¡ããæ£®æ°ã¯ãããã¡ãã£ãšãµã€ã³ãªãã§ãããšèŠæããŠããã
zkMLïŒZero-Knowledge Machine LearningïŒåè·¯ãšã¯ãæ©æ¢°åŠç¿ã¢ãã«ã®æšè«èšç®ãããŒãç¥è蚌æïŒZKïŒããæ€èšŒå¯èœãªå路圢åŒã«å€æãããã®ã§ããã®æè¡ã«ãããAIã¢ãã«ã®æ§é ãå ¥åããŒã¿ãé ãããŸãŸãæ£ããèšç®çµæãåºãããšã ãããããã¯ãã§ãŒã³äžã§èšŒæããã
å³ååãèŠãç®ïŒç©ºæ°ïŒååïŒ
éåº1æéåããã€ã¬ã®åºãŸã§ããŸãªãäžäººã§ç£šãäžããæ£®æ°ã®èäžããåšã®äžã®ãã®ã ããå³ãããªãã空æ°ããã®ãŸãŸäžŒãšäžç·ã«ããã蟌ãã®ãã©ãŒã¡ã³ã®ééå³ãã
ããã¯ãç§ã®ãçµæŽ»ã·ã§ã¢ããŠã¹ããšããçŸç©ã®èå°ã磚ãäžãã空éãã®ãã®ããšã³ã·ã¹ãã ãšããŠæäŸããããšããå®åãšã·ã³ã¯ãããã
3. å®¶æã®è»¢åãšãµãã€ãã«ïŒãè·¡ç¶ãïŒçŽäººïŒã®åºå¥ãšã湯æ°ã«ããææžã
ãåœæ°ã®ããšããèããªãããšæåŸ ããã倧統é ãã¹ãã«ã¹ã®æš©å欲ãæã€ããã«ã森æ°ããŸãããã€ãŠã¯ã俺ã®èšãããšã«äœã®æå¥ãããããããšãã岿 ¢ãªåŒ·æš©ïŒç¬è£è ã®ãã°ïŒã§ãæãèªåã«äŒŒãŠããæ¬¡ç·ã»çŽäººãå·ã€ããå®¶åºïŒã·ã¹ãã ã®åŽ©å£ïŒãæããã
10幎éã®åŒããããïŒè³ã®ç©ºè ¹ïŒïŒ
çŽäººãããªããªã£ãåŸã颿±é²åºã倱æããå³ã¯èœã¡ã倢ã«ã¯ãå°ããé ã®ãŸãŸã®æ¯åãã¡ããåªãã®ããã«çŸããèŠãããŠã®ããã¡åãããã®ã倧転åãã®æéããã£ãããããã圌ã¯èªåã®äººçã俯ç°ãããä»äººã®äººçïŒåŒåã®åºïŒããç¡åã§ç«ã¡äžããå©ä»ïŒå»¶åœè¡çºïŒã®OSãžæžãæãã£ãã
ã©ãŒã¡ã³ã«ããéæµïŒãããã³ã°ïŒïŒ
10幎ã¶ãã®åäŒããã©ãã¯é転æãããªãããèªåãšåãããã«æ³¥èãããããããåŒããŠããçŽäººã®ã©ãŒã¡ã³ãå£ã«ããæããäºãã®ãã©ã€ãïŒèšèã®å£ïŒãè¶ ããŠãçŸç©ïŒæ¹¯æ°ïŒã ãã§ç¹ãã£ãã
ããããé«ã¶ããšè¯ããªããããããæ£ããæåŸã«ã©ãããŠããããé£ãããããšã¬ãªã¬ãªã«ç©ããŠãã£ãŠããåžžé£å®¢ã«ãåŠçïŒçããæå³ïŒãèŠåºã人éã®ã·ã¯ã
4. 68æ³ã®ãæåŸã®ãããŸãŸãïŒãé ãšè ïŒã¯ãããïŒãæ¯ïŒããïŒãåããã¥ã¢ã®å¢å°ã
ç©èªã®åŸåã68æ³ã«ãªã£ãä»äººã¯ãäœãããããããéçãä»åã§è§£æŸïŒåŒéïŒãããããšãå©å£ããã®æ§ã«ãåŒãéãå£ã«ããªãããé«ãåãèœãšããç¬éãããã£ã±ãããäžåãªããé¢çœãããšäœãããããšãåã³æª»ã®å€ãžé£ã³åºãã
ãæ°äœïŒé ãšè ïŒå èïŒã®æé€åè·¯ã
ç¡é§ã®å šè¯å®ïŒ
æ¬æ¥ãªãæšå³ãåºãããã«å šéšäœ¿ãç ®å¹²ãã®ãé ãšå èïŒèŠå³ã»éå³ïŒãããé±1æ¥ã®éå®ã®ããã«ãæäœæ¥ã§äžã€äžã€æ¯ãåã£ãŠæšãŠãããç¡é§ã°ã£ããã§ãããç¡é§ã®äžãããããããã®ã¯åºãªããã§ãèªåã®ããã«ããããã
ãã¬ãã¬ã®40å¹Žã®æãŠïŒ
çŽäººã®ã¢ããã€ã¹ãåããäžåºŠã¯ã倩ãããæµ·è倩ããè¶³ãç®ããŠäžç·ã«ãå šç¶çŸå³ãããªãããšåãæšãŠããããã¬ïŒå€§è»¢åïŒãããããæåŸã¯ããããŸã§æ¥ããç ®å¹²ãã ãã§è¡ãããããšãèªå®¶è£œããŒãŠïŒé¶æ²¹ïŒã®ã¿ãåããããäžåã®éå³ããªãã究極ã®ã²ããã€ïŒãã¥ã¢ã¹ãŒãïŒããžå°éããã
çµã³ïŒãããã§ãã·ã§ãã«ãšã¯ãç¹°ãè¿ãã§ãããªãã
ããããã§ãã·ã§ãã«ãšã¯ãç¹°ãè¿ãã§ãããªããç®æšã«åãã£ãŠãããããªããšèãããããããã«å°œããã
倧åã®AIããããããã©ãã ã綺éºãªã³ãŒãïŒæ£è«ïŒã䞊ã¹ãããšãããã®ãæ·±å€1æã«èµ·ããŠãç ®å¹²ãã®é ãæ¯ãããã€ã¬ã磚ããã¢ã¯ã®æºãããåèŠããããšãããæ³¥èããç¹°ãè¿ãã®å®åïŒæé»ç¥ïŒãããããã³ã°ããããšã¯çµ¶å¯Ÿã«ã§ããªãã
1000幎æãæ¡ãããããã£ã¡ããããã³ãã³ç¬ãã䞌ã®äžã®å°ããªå¹³åã
ä»äººã¯æ¹¯æ°ãéããŠèŠããããã®ãç¹°ãè¿ãã®åããåŽã«ããç¬é¡ïŒå©ä»ïŒãã諊ããŠããªãã
æé«ã®ãã¡ã¯ãããŒã¿ã ã