Last summer I worked for Microsoft, and I remember at the Bill Gates party he was going off about how neural networks are the wrong approach to doing things (presumably AI) because the programmer doesn’t understand the algorithm. It seems to me that if the programmer understands the algorithm, then the algorithm is limited by the programmer! I didn’t tell him that at the time, probably because he was surrounded by 15 interns who immediately would agree with anything he said, but I still feel that neural networks and genetic algorithms are far underused methods of solving problems. ( Especially the latter, which don’t require training.) https://www.teamten.com/lawrence/writings/plan02.html
【 在 chebyshev (......) 的大作中提到: 】 : According to the below blog: : Last summer I worked for Microsoft, and I remember at the Bill Gates party : he was going off about how neural networks are the wrong approach to doing : things (presumably AI) because the programmer doesn’t understand the : algorithm. It seems to me that if the programmer understands the algorithm, : then the algorithm is limited by the programmer! I didn’t tell him that at : the time, probably because he was surrounded by 15 interns who immediately : would agree with anything he said, but I still feel that neural networks and : genetic algorithms are far underused methods of solving problems. ( : Especially the latter, which don’t require training.) : ...................
【 在 chebyshev (......) 的大作中提到: 】 : According to the below blog: : Last summer I worked for Microsoft, and I remember at the Bill Gates party : he was going off about how neural networks are the wrong approach to doing : things (presumably AI) because the programmer doesn’t understand the : algorithm. It seems to me that if the programmer understands the algorithm, : then the algorithm is limited by the programmer! I didn’t tell him that at : the time, probably because he was surrounded by 15 interns who immediately : would agree with anything he said, but I still feel that neural networks and : genetic algorithms are far underused methods of solving problems. ( : Especially the latter, which don’t require training.) : ...................
According to the below blog:
Last summer I worked for Microsoft, and I remember at the Bill Gates party
he was going off about how neural networks are the wrong approach to doing
things (presumably AI) because the programmer doesn’t understand the
algorithm. It seems to me that if the programmer understands the algorithm, then the algorithm is limited by the programmer! I didn’t tell him that at the time, probably because he was surrounded by 15 interns who immediately
would agree with anything he said, but I still feel that neural networks and genetic algorithms are far underused methods of solving problems. (
Especially the latter, which don’t require training.)
https://www.teamten.com/lawrence/writings/plan02.html
94年。很多人以前都认为，人工智能无法超越人类。但是所有这样的认识都是基于图灵机体系，既机械的宿命论的世界无法产生智慧。
现在的人工智能由于神经网络里面引入了随机数的参与，就不受图灵机限制，所以有可能在未来获得真正的意识，甚至超越人类。这个随机数必须是真的，不能是伪的，它可以来自鼠标，键盘，温度，压强，时间，星空的图样，来自互联网的各类新闻报道等。
没有随机现象就没有智能。当然，没有有规律的训练也没有智能。这是矛盾的两个方面，缺一不可。
有规律的训练就是耗散系统。而随机现象来自微观世界，量子力学。
【 在 chebyshev (......) 的大作中提到: 】
: According to the below blog:
: Last summer I worked for Microsoft, and I remember at the Bill Gates party
: he was going off about how neural networks are the wrong approach to doing
: things (presumably AI) because the programmer doesn’t understand the
: algorithm. It seems to me that if the programmer understands the algorithm,
: then the algorithm is limited by the programmer! I didn’t tell him that
at
: the time, probably because he was surrounded by 15 interns who immediately
: would agree with anything he said, but I still feel that neural networks
and
: genetic algorithms are far underused methods of solving problems. (
: Especially the latter, which don’t require training.)
: ...................
1994年的NN就好比1500年的物理学
【 在 chebyshev (......) 的大作中提到: 】
: According to the below blog:
: Last summer I worked for Microsoft, and I remember at the Bill Gates party
: he was going off about how neural networks are the wrong approach to doing
: things (presumably AI) because the programmer doesn’t understand the
: algorithm. It seems to me that if the programmer understands the algorithm,
: then the algorithm is limited by the programmer! I didn’t tell him that
at
: the time, probably because he was surrounded by 15 interns who immediately
: would agree with anything he said, but I still feel that neural networks
and
: genetic algorithms are far underused methods of solving problems. (
: Especially the latter, which don’t require training.)
: ...................
八十年代Gates说640KB的空间可以满足所有人的需求，富豪又不是专家，听听就好
Gates否认他说过这话
【 在 combustion (skylon) 的大作中提到: 】
: 八十年代Gates说640KB的空间可以满足所有人的需求，富豪又不是专家，听听就好
DOS的640K基本内存本来也没什么影响，就是几个台湾日本的垃圾码农搞不定而已。不
管是用实模式4G还是DPMS都很容易
后来32位保护模式直接取消了基本内存这一概念。
【 在 kazan (喀山) 的大作中提到: 】
: Gates否认他说过这话