AGISI

The AGI Sentinel Initiative. To make giant leaps in Artificial Intelligence research in order to change the world for the better. #AI

[Dagmar Monett @dmonett]

Honoured to be part of the Panel on #AI together with professors Christoph Benzmüller and Raúl Rojas @FU_Berlin and Oliver Brock @TUBerlin.

@nresearchnews @nature

[AGISI @AGISI_ORG]

The Epistemology of Deep Learning - @ylecun #LeCun #AI https://t.co/r6d34o7bbk

[Dagmar Monett @dmonett]

"If the success of current deep network models in producing human-like cognitive abilities proves to be limited, a natural place to look for guidance is again neuroscience."

#AI #intelligence #neuroscience #cognition #AGI #DeepLearning

https://t.co/75ElFz0VOA

[Richard Haier @rjhaier]

AI researchers have become interested in general human intelligence. It took awhile.

[Smerity @Smerity]

For those not in machine learning, these new results reinforce an underlying narrative of the language modeling community - that if the predictive text in your mobile had a supercomputer behind it, you could tab complete real work.
You can see why that excites us in the field ^_^

[Max Tegmark @tegmark]

Our new book is out with 25 views on our #AI future: from Pinker & Brooks saying "don't worry" to darker and more cynical perspectives: https://t.co/5LfmlPBX2S

[Prof Jenni Rodd @JenniRodd]

Here’s a thought:
Our science would make better progress if we all collectively agreed to collect no data for the next 12 months and just took time out to read each other’s work and discuss how it fits together.
There is SO much cool data out there that I have no clue about

[Eric Schmidt @ericschmidt]

Exciting research project to use machine learning to design personalized cancer vaccines

https://t.co/ZmRD0g0YQV

[Voices in AI Podcast @VoicesinAI]

Nicholas Thompson, Editor of @WIRED Magazine weighs in on #AIFears in Episode 77 of #VoicesinAI: "However we measure human happiness, human success, our ability to live on the planet, I think that AI in general, will be a good thing," says @nxthompson. #AI https://t.co/W0EMrBNDOR

[AGISI @AGISI_ORG]

What AI Safety Researchers Have Written About the Nature of Human Values https://t.co/YrgaORvnme

[AGISI @AGISI_ORG]

Lecture series - the moral and social implications of Artificial Intelligence. https://t.co/tu2Q3SdJqR

[Arvind Narayanan @random_walker]

If there's one thing you could change about the media and public conversation on AI, what would it be? Here's mine: stop talking about AI as if it has agency, because it doesn't — it's the people building and deploying it who do.

[Ian Goodfellow @goodfellow_ian]

Interpretation of a machine learning model by a human involves both the model and the human. Human misconceptions can cause as much trouble as any property of the model.

[Steven Pinker @sapinker]

2. Prose is a window onto the world. Let your readers see what you are seeing by using visual, concrete language.

[AGISI @AGISI_ORG]

A New Approach to Understanding How Machines Think https://t.co/pKUzKrePHi

[Dagmar Monett @dmonett]

"The reality of the current AI hype is that many of the companies who succeed in securing funding show a woeful lack of understanding of the difficult nature of their problem and of how to test their AI for robustness in the real world."
#AI #hype
https://t.co/o0Hip30uSp

[Ben Recht @beenwrekt]

Dimitri has a new monograph on RL and is soliciting feedback: https://t.co/cJrYJqFqZP

[Steven Pinker @sapinker]

Review of "Innate," by neuroscientist Kevin Mitchell -- a sophisticated, up-to-date explanation of what nature made us. https://t.co/o5V2XrLUcQ via @QuilletteM

[Dagmar Monett @dmonett]

“Stop thinking about robots taking over. We have more to fear from dumb systems that people think are smart than from intelligent systems that know their limits.” Barbara Grosz

#AI #robots #intelligence

[Richard Haier @rjhaier]

More progress...