Samim
medium.com/@samim · Personal blog · on HN since 2015
Samim, a developer and writer, who builds and writes up machine learning experiments such as generated speeches, captions, and TED talks.
What HN saysHN links it for the Obama-RNN generated speeches and other neural network experiments, which commenters compare against other text generation output.
20HN people shared it
5linked it in comments
23stories submitted
113story points
7 years agolast shared
2015people per year2026
Most-shared posts
- 1Machine generated TED-Talks4 people · 9 points · first shared 2015 · discussion on HN
- 2GitXiv – Collaborative Open Computer Science4 people · 7 points · first shared 2015 · discussion on HN
- 3Obama-RNN – Machine generated political speeches4 people · 2 points · first shared 2015 · discussion on HN
- 4Generating Captions: Describing Videos with Neural Networks3 people · 48 points · first shared 2015 · 7 comments on HN
- 5Assisted Writing3 people · 5 points · first shared 2017 · discussion on HN
- 6Generating stories about images with neural nets (incl. videos and taylor swift)2 people · 6 points · first shared 2015 · 1 comments on HN
- 7Sensual Machines – Adult Computer Vision Experiment2 people · 5 points · first shared 2015 · discussion on HN
- 8The Honest Darpa Robotics Challenge2 people · 4 points · first shared 2015 · discussion on HN
- 9ZEN-RRNN – On Meditation and Machines2 people · 3 points · first shared 2015 · 1 comments on HN
- 10Human Pose Detection1 people · 11 points · first shared 2017 · discussion on HN
- 11Musical Novelty Search1 people · 8 points · first shared 2017 · 4 comments on HN
- 12Adversarial machines1 people · 5 points · first shared 2015 · discussion on HN
What HN people wrote when they linked it
samim · 2015-06-19
Great article, thanks for the share! I wrote a piece in the same spirit this week: ZEN-RRNN - On Meditation & Machines: https://medium.com/@samim/zen-rrnn-on-meditation-machines-bbeb92aa62d3
hellbanner · 2018-01-02
Good writeup and I agree with the sentiment that news sources need to disclosure their sources & biases.
However, we are entering into a strange age where information can be fabricated so well that we won't be able to reliably trust any information on a screen, especially as the timestamp exceeds what a Desktop computer would take to generate such data.
On AI Generated fake porn - video editing with face swapping. https://news.ycombinator.com/item?id=16040463
https://medium.com/@samim/obama-rnn-machine-generated-political-speech… -- Audio & Visual imitation of Obama according to a script.
http://www.bbc.com/news/technology-37899902 - Adobe Voco 'Photoshop-for-voice' causes concern
Now tell me, why should I trust anything on this screen? I shouldn't and I won't.
jtbayly · 2017-04-24
Can we get these speeches in audio form now?
https://medium.com/@samim/obama-rnn-machine-generated-political-speech…
cfcef · 2015-12-21
That output doesn't look good, especially compared with the Obama char-rnn output: https://medium.com/@samim/obama-rnn-machine-generated-political-speech…
Perhaps the Trump corpus could be fed into char-rnn for comparison and figure out why the output is so nonsensical?
xvilka · 2020-02-25
Just an arXiv with peer-review is not enough. There is a lot of room for innovation and improvement. There was quite an interesting discussion[1] about creating something in between Overleaf[2], ArXiv[3], Git, and Wikipedia, moreover with the ability to do a peer-to-peer review, discussion, and social networking. Check out the last[4] article in that series. There are a few implementations, albeit not covering all features, like Authorea[5] and MIT's PubPub[6] (it is the open source[7]). See also GitXiv[8]. See also the Publishing Reform[9] project. Moreover, there is quite an interesting initiative from DARPA, to create the scientific social network of a kind - Polyplexus[10].
[1] http://blog.jessriedel.com/2015/04/16/beyond-papers-gitwikxiv/
[2] https://www.overleaf.com/
[3] https://arxiv.org/
[4] http://blog.jessriedel.com/2015/05/20/gitwikxiv-follow-up-a-path-to-fo…
[5] https://authorea.com/
[6] https://www.pubpub.org/
[7] https://github.com/pubpub
[8] https://medium.com/@samim/gitxiv-collaborative-open-computer-science-e…
[9] https://gitlab.com/publishing-reform/discussion
[10] https://polyplexus.com/