3 ms·
AGI is not coming, DL methods have run into a plateau recently for the past year.
by tanilama 9y ago
AGI is not coming, DL methods have run into a plateau recently for the past year.
- apsec112 9y agoThat's interesting, but could you elaborate in more detail?
- pilingual 9y agohttps://twitter.com/fchollet/status/906582914829246464 https://twitter.com/fchollet/status/906582914829246464 (Google researcher) DeepMind and OpenAI have been investigating approaches from cognitive science in recent months. In particular they seem interested in evolutionary algorithms. DL applications are still emerging though, such as the company that demonstrated using GANs to present models fitted in apparel a few days ago.
- eli_gottlieb 9y ago>DeepMind and OpenAI have been investigating approaches from cognitive science in recent months. Really? Got any links. That might be exciting to read.
- tanilama 9y agoThe usual style DL paper that focus on tweaking network architecture is running into a dead end. The improvement is becoming ever more marginal but the cost is skyrocketing. Sadly, bigger and deeper neural networks are previously what major drive force to advance DL research. Meanwhile people turn into RL to approximate non differentiable function, so far it doesn't seem to apply to real world tasks. Give or take 2 to 3 years, if there isn't some major breakthrough, like human level star craft agent, we can then offically announce that this round of DL revolution or renaissance is over.