The Singularity Approaches!

Discussion in 'The Tavern' started by Paul Bellow, May 18, 2017.

  1. Paul Bellow

    Paul Bellow Forum Game Master Staff Member Shop Owner LitRPG Author Citizen Aspiring Writer

    100%
    Messages:
    7,957
    Likes:
    6,335
    xp:
    5,313
    Zone:
    Midwest, US
    LitCoin:
    696,665
    Zorkmid:
    177
    DARPA launches massive new '3rd wave' next-gen artificial intelligence

    The Pentagon’s science and technology research arm is launching a vigorous push into a new level of advanced artificial intelligence, intended to integrate advanced levels of “machine learning,” introduce more “adaptive reasoning” and even help computers determine more subjective phenomena.

    It is called the 3rd Wave, a Defense Advanced Research Projects Agency program to leverage rapid advances in AI to help train data to make computer analysis more reliable for human operators, agency Director Steven Walker recently told a small group of reporters.

    DARPA scientists explain the fast-evolving 3rd wave effort as improving the ability of AI-oriented technology to provide much more sophisticated “contextual explanatory models.”

    While humans will still be needed in many instances, the 3rd Wave can be described as introducing a new ability to not only provide answers and interpretations - but also use “machine learning to reason in context and explain results,” DARPA Deputy Director Peter Highnam said.

    In short, the 3rd Wave can explain the reason “why” it reached the conclusion it reached, something which offers a breakthrough level of computer-human interface, he added.

    “When we talk about the 3rd wave, we are focused on contextual reasoning and adaptation. It requires less data training,” Highnam said.

    DARPA launches massive new '3rd wave' next-gen artificial intelligence
     
    Yuli Ban and GRCooper like this.
  2. Paul Bellow

    Paul Bellow Forum Game Master Staff Member Shop Owner LitRPG Author Citizen Aspiring Writer

    100%
    Messages:
    7,957
    Likes:
    6,335
    xp:
    5,313
    Zone:
    Midwest, US
    LitCoin:
    696,665
    Zorkmid:
    177







    differences.)

    In my science fiction prose corpus, which I trained on the complete works of Margaret Atwood, Isaac Asimov, and other writers, AlchemyAPI’s entity extraction tool revealed approximately 10,000 unique persons’ names. After finding these names, I used regular expressions to replace them with a set of about 100 names — mostly from my Facebook friends, but also a few that I made up. Training on the corpus with the reduced namespace resulted in about 10% reduction of the final validation loss measurement (see: explanation of LSTM loss metrics in Part I) after about five days of training.
     
  3. Paul Bellow

    Paul Bellow Forum Game Master Staff Member Shop Owner LitRPG Author Citizen Aspiring Writer

    100%
    Messages:
    7,957
    Likes:
    6,335
    xp:
    5,313
    Zone:
    Midwest, US
    LitCoin:
    696,665
    Zorkmid:
    177
  4. Paul Bellow

    Paul Bellow Forum Game Master Staff Member Shop Owner LitRPG Author Citizen Aspiring Writer

    100%
    Messages:
    7,957
    Likes:
    6,335
    xp:
    5,313
    Zone:
    Midwest, US
    LitCoin:
    696,665
    Zorkmid:
    177
    An AI Analyzed My Twitter Feed and Discovered I’m a Shithead

    It's fairly certain that, given the incredible amount of data about our habits and thoughts that are collected and analyzed and stored by our devices and accounts, The Cloud knows more about ourselves than we do. If our entire conception of self is distorted by the delusions and lies and beautiful memories we rely on to get through the unlimited hell that we occasionally experience, then who's to say the endless thoughtstreams we dump for free into Twitter isn't a more accurate representation of who we really are?


    Computers, that's who. And a new computer program says that I'm a real asshole. Who knew?

    Thanks to Wired's Tom Simonite, I have just been introduced to DeepSense, a tool that claims to analyze someone's personality and employment viability via their Twitter feed. A recent entrant in a long line of internet-based personality-analysis-and-data-collection tools, DeepSense's pitch is to help hiring managers figure out if potential employees are competent or not before they even come in for an interview.

    As a person who occasionally hires people: great! And as a person who occasionally just vomits pointless nonsense into Twitter in a long attempt to obscure such personality analysis: shit! Might have shot myself in the foot on this one.

    In any case, the idea that our Twitter feeds are an accurate representation of who we are is fun and terrifying. On the one hand, everything we post on socials is calibrated, subconsciously or otherwise, to present a version of ourselves honed by analytics of our every behavior online. On the other, perhaps there's some universal truth buried way deep inside the data.

    An AI Analyzed My Twitter Feed and Discovered I’m a Shithead
     
  5. Paul Bellow

    Paul Bellow Forum Game Master Staff Member Shop Owner LitRPG Author Citizen Aspiring Writer

    100%
    Messages:
    7,957
    Likes:
    6,335
    xp:
    5,313
    Zone:
    Midwest, US
    LitCoin:
    696,665
    Zorkmid:
    177
    This Video Game Made by AI Looks Fun as Hell

    There’s an algorithm at the Georgia Institute of Technology that’s making video games.

    Designed by PhD student Matthew Guzdial and associate professor Mark Riedl (both at GT’s School of Interactive Computing), the program absorbed hours of footage of people playing classic video games like Super Mario Bros., Kirby Adventure, and Mega Man to “learn” their key features. Then, the machine learning system used that footage as the basis for its own games.


    Today we’ve got a better idea of what those games look like thanks to Guzdial. He’s uploaded video of himself playing two of the machine learning-generated games to his YouTube channel.

    The graphics are simple, but you can tell what the AI was going for and the games actually look pretty fun. In the first game, called Death Walls, the player tries to outrun a fast approaching killer wall.

    This Video Game Made by AI Looks Fun as Hell

     
    Yuli Ban likes this.
  6. Paul Bellow

    Paul Bellow Forum Game Master Staff Member Shop Owner LitRPG Author Citizen Aspiring Writer

    100%
    Messages:
    7,957
    Likes:
    6,335
    xp:
    5,313
    Zone:
    Midwest, US
    LitCoin:
    696,665
    Zorkmid:
    177
    Researchers Developed a New, Even More Convincing Way to Write Fake Yelp Reviews

    Aside from being pretty vulnerable to trolls with a vendetta, Yelp is susceptible to abuse through fake reviews. A 2016 report showed that Yelp labels approximately 25 percent of reviews as suspicious or not recommended, and the business reviewing platform announced that year that it would start working with the New York Attorney General to prosecute fake reviewers.

    Previously, fake reviews have had a hint of the uncanny valley bot speak, sometime slipping non-sequitur or nonsense phrases into reviews. Mika Juuti, a doctoral student at Aalto University in Finland, and a team of researchers developed a new way to make algorithmically generated reviews more believable.


    It’s based on research from 2017, when a team from the University of Chicago made algorithmically generated restaurant reviews that plagiarism detection services couldn’t spot. They wrote things like, “The food here is freaking amazing, the portions are giant. The cheese bagel was cooked to perfection and well prepared, fresh & delicious! The service was fast. Our favorite spot for sure! We will be back!” Pretty convincing. I, too, enjoy my bagels cooked to perfection.

    The only problem with this method was that the AI tends to let its mind wander. Sometimes, a reference to a different city, food, or state slips in, which flags the bot-written review as fake to detection systems. Juuti developed a new way to keep the AI on track, using a machine learning technique called neural machine translation.

    It uses a text sequence that follows “review rating, restaurant name, city, state, and food tags,” according to an Aalto press release—a combination that keeps the AI focused on the review at hand, without making it too stiff and bot-like.

    Researchers Developed a New, Even More Convincing Way to Write Fake Yelp Reviews
     
  7. Yuli Ban

    Yuli Ban Level 18 (Magician) LitRPG Author Citizen Aspiring Writer

    16%
    Messages:
    880
    Likes:
    807
    xp:
    916
    LitCoin:
    377,203
    Zorkmid:
    26
  8. Paul Bellow

    Paul Bellow Forum Game Master Staff Member Shop Owner LitRPG Author Citizen Aspiring Writer

    100%
    Messages:
    7,957
    Likes:
    6,335
    xp:
    5,313
    Zone:
    Midwest, US
    LitCoin:
    696,665
    Zorkmid:
    177
    Heh. I've been following that one.
     
  9. Yuli Ban

    Yuli Ban Level 18 (Magician) LitRPG Author Citizen Aspiring Writer

    16%
    Messages:
    880
    Likes:
    807
    xp:
    916
    LitCoin:
    377,203
    Zorkmid:
    26
    I still can't get over that this is a real thing. It's unbelievable to be reading headlines like this.
     
  10. Alexis Keane

    Alexis Keane Level 14 (Defender) Roleplaying Beta Reader Citizen Aspiring Writer

    62%
    Messages:
    422
    Likes:
    577
    xp:
    562
    LitCoin:
    138,837
    Zorkmid:
    273
    In related news, I have decided to pimp out my toaster... any takers?
     
    Paul Bellow likes this.
  11. Yuli Ban

    Yuli Ban Level 18 (Magician) LitRPG Author Citizen Aspiring Writer

    16%
    Messages:
    880
    Likes:
    807
    xp:
    916
    LitCoin:
    377,203
    Zorkmid:
    26
  12. Paul Bellow

    Paul Bellow Forum Game Master Staff Member Shop Owner LitRPG Author Citizen Aspiring Writer

    100%
    Messages:
    7,957
    Likes:
    6,335
    xp:
    5,313
    Zone:
    Midwest, US
    LitCoin:
    696,665
    Zorkmid:
    177
    Amazon scraps secret AI recruiting tool that showed bias against women

    SAN FRANCISCO (Reuters) - Amazon.com Inc’s (AMZN.O) machine-learning specialists uncovered a big problem: their new recruiting engine did not like women.

    The team had been building computer programs since 2014 to review job applicants’ resumes with the aim of mechanizing the search for top talent, five people familiar with the effort told Reuters.

    Automation has been key to Amazon’s e-commerce dominance, be it inside warehouses or driving pricing decisions. The company’s experimental hiring tool used artificial intelligence to give job candidates scores ranging from one to five stars - much like shoppers rate products on Amazon, some of the people said.

    “Everyone wanted this holy grail,” one of the people said. “They literally wanted it to be an engine where I’m going to give you 100 resumes, it will spit out the top five, and we’ll hire those.”


    But by 2015, the company realized its new system was not rating candidates for software developer jobs and other technical posts in a gender-neutral way.

    That is because Amazon’s computer models were trained to vet applicants by observing patterns in resumes submitted to the company over a 10-year period. Most came from men, a reflection of male dominance across the tech industry.

    Amazon scraps secret AI recruiting tool that showed bias against women | Reuters
     
  13. Yuli Ban

    Yuli Ban Level 18 (Magician) LitRPG Author Citizen Aspiring Writer

    16%
    Messages:
    880
    Likes:
    807
    xp:
    916
    LitCoin:
    377,203
    Zorkmid:
    26
    I was about to say "I don't think the AI itself is biased; it's just reflecting facts" but then I saw the data it was fed. Yeah, that's kinda embarrassing and is one of the reasons why people fear the potential flaws of creating AI with human biases. It's easy to forget how fundamentally intertwined gender politics are in society.
     
    Last edited: Oct 10, 2018
    Paul Bellow likes this.
  14. Yuli Ban

    Yuli Ban Level 18 (Magician) LitRPG Author Citizen Aspiring Writer

    16%
    Messages:
    880
    Likes:
    807
    xp:
    916
    LitCoin:
    377,203
    Zorkmid:
    26
  15. Yuli Ban

    Yuli Ban Level 18 (Magician) LitRPG Author Citizen Aspiring Writer

    16%
    Messages:
    880
    Likes:
    807
    xp:
    916
    LitCoin:
    377,203
    Zorkmid:
    26
  16. Yuli Ban

    Yuli Ban Level 18 (Magician) LitRPG Author Citizen Aspiring Writer

    16%
    Messages:
    880
    Likes:
    807
    xp:
    916
    LitCoin:
    377,203
    Zorkmid:
    26
  17. Yuli Ban

    Yuli Ban Level 18 (Magician) LitRPG Author Citizen Aspiring Writer

    16%
    Messages:
    880
    Likes:
    807
    xp:
    916
    LitCoin:
    377,203
    Zorkmid:
    26
  18. LWFlouisa

    LWFlouisa Level 9 (Burgler) Roleplaying LitRPG Author Citizen

    26%
    Messages:
    224
    Likes:
    65
    xp:
    213
    LitCoin:
    144,589
    Zorkmid:
    45
    Only partially related to the singularity, but worth mentioning:



    A lot of the failures of our institution, such as various recent breakages, is do to failures of some part of the key exchange protocol or key certification.
     
    Paul Bellow likes this.
  19. Yuli Ban

    Yuli Ban Level 18 (Magician) LitRPG Author Citizen Aspiring Writer

    16%
    Messages:
    880
    Likes:
    807
    xp:
    916
    LitCoin:
    377,203
    Zorkmid:
    26
  20. Yuli Ban

    Yuli Ban Level 18 (Magician) LitRPG Author Citizen Aspiring Writer

    16%
    Messages:
    880
    Likes:
    807
    xp:
    916
    LitCoin:
    377,203
    Zorkmid:
    26
    Check this out!

    Combining three Kinects + Oculus Rift (Devkit 1-era) to essentially put yourself inside of a video game. It's like a 2014-era Holodeck!
     




Share This Page