RT @JanelleCShane@twitter.com: This program will try to draw pictures of whatever you describe and it's so delightful/terrifying.
RT @email@example.com: If you are ever in doubt that we need to keep doing more to make the ML community more welcoming and more diverse, you can always look at the ML subreddit, where, whenever the topic of diversity comes up, the must upvoted comments are always the most disgusting and toxic.
RT @AndrewYNg@twitter.com: We need a Goldilocks Rule for AI:
- Too optimistic: Deep learning gives us a clear path to AGI!
- Too pessimistic: DL has limitations, thus here's the AI winter!
- Just right: DL can’t do everything, but will improve countless lives & create massive economic growth.
RT @firstname.lastname@example.org: Came across a hilarious AI quote today...
"The question of whether a computer can think is no more interesting than the question of whether a submarine can swim." - Edsger W. Dijkstra
"He said he had been working up to 120 hours a week recently... “This has really come at the expense of seeing my kids. And seeing friends.”
Glad I have (somewhat) grown beyond my undergrad days when I embraced such a working style. Long term counterproductive and unhealthy.
RT @JamesStewartNYT@twitter.com A must-read interview: Elon Musk confronts his tweet, its consequences, and his own limits: https://www.nytimes.com/2018/08/16/business/elon-musk-interview-tesla.html
also, in some ways echoes @email@example.com's great notion of singularity preachers being 'exponentialist' and missing that "The progress of AI, like the progress of everything else, will eventually plateau."
A great article! Locked behind the pay wall, but at least issue is well worth it. "Artificial intelligence is just the ability to solve hard problems—a task that does not require free will... Like any other technology, AIs will always be extensions of us."
RT @firstname.lastname@example.org Where will our machines take us? My Scientific American article on the future of AI: https://www.scientificamerican.com/article/artificial-intelligence-will-serve-humans-not-enslave-them/
unrealistic prognostication, failing to mention important limitations of a shiny new AI system, language that implies autonomy and agency where there is none, and a failure to communicate just how much of advance new stuff is are common trends I see over and over... sadly.
btw @SilverJacket@twitter.com , I don't to disparage you or your professionalism, but I do feel journalists often do things that exacerbate misunderstanding and overhyping of AI. I started a whole site @email@example.com to try and counteract this misunderstanding.
Granted, the ending did present good caveats. But still. These may seem like nitpicks, but use of language like "this AI can" or "Google's AI learns", wrong portrayals of where tech is taking us ("common sense"), & not mentioning limitations are causes of misunderstanding of AI.
I had high hopes for this article. Then... "this AI is taking on"? nonsense like "The goal is common sense, which could help AIs handle real-world"? No mention of simplifications (reward shaping, low-level state input, tons of tweaks to rules)? Very frustrating, flawed coverage.
I had high hopes for this article. But really, "this AI is taking on", as if it has agency? exaggerations like "The goal is common sense, which could help AIs handle real-world"? No mention of simplifications like reward shaping and low-level state access? Seriously frustrating.
RT @JanelleCShane@twitter.com: If you ask the GAN to combine things that it already can draw pretty well, it actually does a pretty convincing job.
RT @firstname.lastname@example.org: Journalists are not the enemy #freepress https://www.bostonglobe.com/opinion/editorials/2018/08/15/editorial/Kt0NFFonrxqBI6NqqennvL/story.html?s_camp=bostonglobe:social:sharetools:twitter
RT @AndrewYNg@twitter.com: Just read this cool paper: Neural net pretraining keeps improving when you train on an unprecedented 3.5 billion (that's really big) labeled images and transfer to new task. IMO we're still nowhere near the limits of pretraining/transfer learning. https://research.fb.com/publications/exploring-the-limits-of-weakly-supervised-pretraining/
RT @email@example.com: "Purely going off the headlines, one might think that Google Translate had become conscious and adopted a religion"
"Although there are obvious incentives to entice people to click on articles, in order to best serve the public, the media needs to tone down the gimmicky headings" https://twitter.com/skynet_today/status/1029791973589184512
RT @firstname.lastname@example.org: Google Translate's 'Sinister Religious Prophecies', Demystified! A brand new article by @email@example.com - check it out!
RT @firstname.lastname@example.org: Google Translate's 'Sinister Religious Prophecies', Demystified
A brand new article by @email@example.com - check it ou!