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jason818_253.33 jason818_25​3.33 Yippi skippy
  • Ping: Episode 1

    Its monday... where is the next episode?
  • Ping: Episode 1

    I come to channel 9 as one of the daily sites I visit. I am amazed by how much content that gets put up on the site. There is a new video almost every single day. That amount of content is unprecedented. I visit Blizzard.com  site a lot as well. a couple of my fav sites. But they don’t put near as much new content up on their site. they still have valentines up on their site. I like watching episodes on channel 9. Some of my favorite videos are those of Bill Hill and those that deal with MS personalities. I also like behind the code. I do have a couple least favorites. But it’s not enough to make me rant and rave. I focus on what I like and leave what I don’t like to others to enjoy.

  • Ping: Episode 1

    It is true, not all developers are nice. Many have difficulty with their emotions. Often times they are off putting, insensitive, and smelling of cheese wiz. Smiley
  • Ping: Episode 1


    Stop being so mean for a moment and give a constructive critique.

  • Ping: Episode 1

    um, so did any one ells go to Jim Allchin web site?

    Seriously, I like the name ping. I think having different people on the show is a good suggestion. It would also be interesting to get Lara’s take on a technical interview. With that said, it’s a little to early for me to make a defining call on the show.

  • Ping: Episode 1

    Jim Allchin- You’re Leavin’. I wasn’t expecting to such an emotional song from going to his site. Who ever has left him, I hope he is ok. It’s got an interesting sound to the song. The vocals have some kind of reverb that makes it sound a little ‘electronic’.

  • Minds, Machines, and Intelligence: A Conversation with Eric Horvitz

    We maybe in the same ocean as Mr. Horvitz but he is in a different league than us. I try to read some of the papers he has published. They go way over my head. http://research.microsoft.com/en-us/um/people/horvitz/uai2k1.htm Wish I could understand better the subject of ‘Reasoning under limited computational resources’. The subject and level of knowledge needed to correspond about such things is a little intimidating. But I like that Mr. Horvitz shared the story about listening into neurons and trying to decipher the code behind intelligence that way. I think it displays his curiosity. Something I think we all need.

    When I think, I realize I am at a disadvantage due to a lack of knowledge or lack of information regarding unknown variables. It’s amazing that I can come to any kind of conclusion at all when making a decision. Some people have a hard time walking down the street because they have so much information to process and yet not enough information to complete their inquiry. The majority of us make decisions when we relatively have very little information on the subject. We make our decisions in ignorance. Our minds make the best decisions possible based on the information at hand and then roles the dice. 

    I think it may be just as advantages to figure out how to harness the human minds ability to deal with uncertainty as it is to give those same abilities to computers.

    I do think we can make machines that reflect our ability to think. Abstractly: if the equations they make are able to be matched against each other over and over again. Like the rolling of dice until it strikes upon the most logically feasible result. I may have just over simplified a very challenging question. Kind of like when I was a kid and I thought all you needed to make a computer game was a card board box and a picture drawn on paper.

  • Minds, Machines, and Intelligence: A Conversation with Eric Horvitz

    I wouldn’t be surprised if artificial intelligence some day surpasses the intelligence of humans. Already some components of computers are out performing the human mind. Consider some of the large data bases and the ability to retrieve the information stored on them.

  • Minds, Machines, and Intelligence: A Conversation with Eric Horvitz

    Behind the code delivers yet another great program.

    12:30 “When I started getting into Decision science. I started getting interested in both decision making on uncertainty but also about what do we do with limited resoners if we built a limited system, how could it be optimized to do it the best it could. I had this sense that…um… and I still do very much that we can understand a lot about intelligence, biological intelligence, human intelligence if we push really hard on this notion of …um... trying to do the best one can with limited …um… computational recourses. Limited time for example. Um… that this would explain the pressures of competition and minds would etch out …a, brains with certain properties that would do their best under restraints of various kinds.”

    How does a limited time restraint improve decision making? Have there been minds culled under study that do better than others with limited computational recourses? What other resources are there that are tracked besides time restraints? I would like to see the data. 

    Can some one give an explanation to describe what directed acyclic graphs are? Other than what is already written on a wiki. Thanks
  • Ariel Stallings: Microspotting the Empire

    I thought the interview was great.