The DeepMind program AlphaFold predicted the structures.
Category: robotics/AI – Page 85
Conflict between humans and AI is front and center in AMC’s sci-fi series “Humans,” which returned for its third season on Tuesday (June 5). In the new episodes, conscious synthetic humans face hostile people who treat them with suspicion, fear and hatred. Violence roils as Synths find themselves fighting for not only basic rights but their very survival, against those who view them as less than human and as a dangerous threat. [Can Machines Be Creative? Meet 9 AI ‘Artists’]
Even in the real world, not everyone is ready to welcome AI with open arms. In recent years, as computer scientists have pushed the boundaries of what AI can accomplish, leading figures in technology and science have warned about the looming dangers that artificial intelligence may pose to humanity, even suggesting that AI capabilities could doom the human race.
But why are people so unnerved by the idea of AI?
How are neural networks “expressing themselves” through original paintings, songs, and fiction?
From Alan Turing’s seminal paper to the advent of ChatGPT, here are 12 pivotal moments in the history of artificial intelligence.
#GigaBerlinArt #TechPainters #RoboticMuralist.
At Tesla’s Gigafactory Berlin-Brandenburg, creativity meets technology in a remarkable initiative to transform concrete surfaces into stunning artworks. Inspired by Elon Musk’s vision to turn the factory into a canvas, the project began with local graffiti crews. However, the sheer scale of the endeavor required innovative solutions, leading to the collaboration with a robotic muralist startup. This groundbreaking graffiti printer combines cutting-edge technology with artistry, using a triangulation method to maneuver its print head along factory walls. With 12 paint cans onboard, the robot sprays precise dots of color—10 million per wall and 300 million for the west side alone—creating intricate designs composed of five distinct colors. The curated artworks draw inspiration from Berlin’s vibrant culture, Tesla’s groundbreaking products, and the factory itself—described as “the machine that builds the machine.” A blend of global and in-house artistic talent has contributed to the ongoing project, making Giga Berlin not just a hub for innovation but also a celebration of art and ingenuity.
Courtesy: X:@Tesla.
#FactoryArt #BerlinCulture #GigaBerlinTransformation #MachineThatBuildsTheMachine.
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Anders discusses his optimism about AI in contrast to Eliezer Yudkowsky’s pessimism.
#AGI #Optimism #pdoom.
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Adam Ford.
- Science, Technology & the Future — #SciFuture — http://scifuture.org
Professor Graham Oppy discusses the Turing Test, whether AI can understand, whether it can be more ethical than humans, moral realism, AI alignment, incoherence in human value, indirect normativity and much more.
Chapters:
0:00 The Turing test.
6:06 Agentic LLMs.
6:42 Concern about non-anthropocentric intelligence.
7:57 Machine understanding & the Chinese Room argument.
10:21 AI ‘grokking’ — seemingly understanding stuff.
13:06 AI and fact checking.
15:01 Alternative tests for assessing AI capability.
17:35 Moral Turing Tests — Can AI be highly moral?
18:37 Philosophy’s role in AI development.
21:51 Can AI help progress philosophy?
23:48 Increasing percision in the language of philosophy via technoscience.
24:54 Should philosophers be more involved in AI development?
26:59 Moral realism & fining universal principles.
31:02 Empiricism & moral truth.
32:09 Challenges to moral realism.
33:09 Truth and facts.
36:26 Are suffering and pleasure real?
37:54 Signatures of pain.
39:25 AI leaning from morally relevant features of reality.
41:22 AI self-improvement.
42:36 AI mind reading.
43:46 Can AI learn to care via moral realism?
45:42 Bias in AI training data.
46:26 Metaontology.
48:27 Is AI conscious?
49:45 Can AI help resolve moral disagreements?
51:07 ‘Little’ philosophical progress.
54:09 Does the human condition prevent or retard wide spread value convergence?
55:04 Difficulties in AI aligning to incoherent human values.
56:30 Empirically informed alignment.
58:41 Training AI to be humble.
59:42 Paperclip maximizers.
1:00:41 Indirect specification — avoiding AI totalizing narrow and poorly defined goals.
1:02:35 Humility.
1:03:55 Epistemic deference to ‘jupiter-brain’ AI
1:05:27 Indirect normativity — verifying jupiter-brain oracle AI’s suggested actions.
1:08:25 Ideal observer theory.
1:10:45 Veil of ignorance.
1:13:51 Divine psychology.
1:16:21 The problem of evil — an indifferent god?
1:17:21 Ideal observer theory and moral realism.
See Wikipedia article on Graham Oppy: https://en.wikipedia.org/wiki/Graham_… https://twitter.com/oppygraham #AI #philosophy #aisafety #ethics Many thanks for tuning in! Please support SciFuture by subscribing and sharing! Have any ideas about people to interview? Want to be notified about future events? Any comments about the STF series? Please fill out this form: https://docs.google.com/forms/d/1mr9P… Kind regards, Adam Ford
- Science, Technology & the Future — #SciFuture — http://scifuture.org
x: https://twitter.com/oppygraham.
#AI #philosophy #aisafety #ethics.
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Please support SciFuture by subscribing and sharing!
“While some may suggest that a standalone quantum computer is still years away, the commercial opportunities from this breakthrough are here and now,” said Dr. Thomas Ehmer from the Healthcare business sector of Merck KGaA, Darmstadt, Germany. “The generation of meaningful synthetic data, specifically when you do not have many training data, is nontrivial and we see it as a new era for AI unlocked by quantum technologies. The Helios system, launching later this year will hopefully enable AI to be used in unprecedented ways and unlocking transformative potential across industries.”
Gen QAI leverages the unique capabilities of quantum computing to explore data complexities far beyond what classical computing systems and GPUs can handle. Quantinuum is collaborating with industry partners on Generative AI projects that harness the power of quantum computing in sectors such as automotive, pharmaceuticals and materials science. In the coming months, Quantinuum will share results from ongoing collaborations, showcasing the groundbreaking potential of quantum-driven advancements in Generative AI.
Despite strong interest in using artificial intelligence to make research faster, easier and more accessible, researchers say they need more support to navigate its possibilities.
A new artificial neuron that spikes like human brain cells could be used to process data at ultrafast speeds.