Jump to content

Welcome to the new Traders Laboratory! Please bear with us as we finish the migration over the next few days. If you find any issues, want to leave feedback, get in touch with us, or offer suggestions please post to the Support forum here.

  • Welcome Guests

    Welcome. You are currently viewing the forum as a guest which does not give you access to all the great features at Traders Laboratory such as interacting with members, access to all forums, downloading attachments, and eligibility to win free giveaways. Registration is fast, simple and absolutely free. Create a FREE Traders Laboratory account here.

brownsfan019

Doc, could use your help now

Recommended Posts

Janice,

I know you are on hiatus, but if you have time, check out my post here - http://www.traderslaboratory.com/forums/f18/please-be-careful-on-the-internet-2651.html#post21900

 

While this is a serious matter for me and my family, I'm sure there's a good story or two for you to share with us. I'm guessing there's something to be learned and I could use your help in finding it.

Share this post


Link to post
Share on other sites

Join the conversation

You can post now and register later. If you have an account, sign in now to post with your account.
Note: Your post will require moderator approval before it will be visible.

Guest
Reply to this topic...

×   Pasted as rich text.   Paste as plain text instead

  Only 75 emoji are allowed.

×   Your link has been automatically embedded.   Display as a link instead

×   Your previous content has been restored.   Clear editor

×   You cannot paste images directly. Upload or insert images from URL.


  • Topics

  • Posts

    • AAL American Airlines stock, nice breakout, from Stocks to Watch at https://stockconsultant.com/?AAL  
    • contest are good to mix up things and break the redundant pattern, its also fun. though i have to admit, i was never the type that won any haha
    • "To make more capable, powerful AI models, developers need a steady flow of fresh data to train their models on. However, they’re starting to run out. Current generative AIs have scraped everything from the Internet that can be scraped. The alternative is to use “synthetic” data—training data generated by earlier forms of AI instead of original sources found on the Internet.  Using synthetic data is tempting. It’s cheaper than licensing datasets (an increasingly common requirement); there’s virtually no limit to the amount of data, text, or images AIs can create; and no one’s privacy is violated. The problem is that, over several generations, AIs trained synthetically develop what has been called “Model Autophagy Disorder,” or MAD, by the researchers at Rice University who discovered it. They like the acronym “MAD” because it’s similar to “Mad Cow Disease,” a calamitous, fatal brain disease that turned up in beef cattle in the 1980s when they were fed the ground-up remains of their butchered colleagues.  The word “autophagy” is a combination of the Greek “auto,” meaning self, and “phagy,” to eat. After training successive visual AI models on synthesized data, the scientists found a disturbing pattern: images of faces began to show grid-patterned scratch marks and eventually began more and more to look like the same face. Images of numbers gradually distorted until they became a mass of unintelligible squiggles.  “Even after a few generations of such training, the new models can become irreparably corrupted,” computer engineer Richard Baraniuk said in a university press statement.  As synthetic data, and synthetically trained AIs, proliferate online, the problem will feed on itself and become steadily worse, he warned. “One doomsday scenario is that if left uncontrolled for many generations, MAD could poison the data quality and diversity of the entire Internet,” Baraniuk said. “Short of this, it seems inevitable that as-to-now-unseen unintended consequences will arise from AI autophagy even in the near term. “Without enough fresh real data,” he added, “future generative models are doomed to MADness.” TRENDPOST: If AI developers come to believe that it is no longer possible to advance generative AI much beyond its current state, two things will happen. First, engineers will switch from developing new models to tweaking existing ones and continue customizing them to make off-the-shelf versions for specific industries. Second, developers will turn their obsession with AI power from generative systems to general AI, which can reason and make decisions without the need for human guidance.  That day might be closer than any of us, including AI engineers, are ready to deal with." Zgbs73                        
    • TS Tenaris stock, watch for a top of range breakout above 39.17 at https://stockconsultant.com/?TS
    • UAL United Airlines stock nice breakout setup at https://stockconsultant.com/?UAL
×
×
  • Create New...

Important Information

By using this site, you agree to our Terms of Use.