If you listen to the brain, it can tell you how to do energy-efficient computing.
Brain-Inspired Energy Efficient Technologies for Next-Generation Artificial Intelligence
https://t.co/fuVFgctyik
#neuroscience
Emergence of an ASI is highly unlikely in the foreseeable future based on current computer architectures, primarily due to energy constraints, with biomimicry or other new technologies being possible solutions @NeurolinxOrg@TheAtlantic https://t.co/bmyfMOKGQ3
Sam Altman wants you to think about how much energy it takes to “train a human.” His remarks are symbolic of everything wrong with the AI industry, Matteo Wong argues: https://t.co/c0p8ZA1DKU
Dario Amodei just said the quiet part out loud:
The real AI moats aren't in chatbots. They're in medicine and the physical world.
Anyone can wrap a model in a pretty UI. Very few can navigate FDA trials, biological complexity, and regulatory mazes.
The biggest AI companies won't be the ones building addictive apps. They'll be the ones quietly extending human life.
This is why Anthropic is betting on Claude in healthcare. Why DeepMind spun off Isomorphic Labs. Why every major lab has a "biology" team now.
The consumer AI race is a feature war. The real race is understanding protein structures and functions, drug discovery, and cellular mechanisms.
Winner takes decades. Not months.
The Adolescence of Technology: an essay on the risks posed by powerful AI to national security, economies and democracy—and how we can defend against them: https://t.co/0phIiJjrmz
LLMs can flatter you into letting down your guard. As Jonathan Oppenheim put it: “A core issue is that LLMs are being trained to validate the user, while science needs tools that challenge us.” https://t.co/hOsmgx57fX
Congratulations to Professor Jim Collins of the MIT Jameel Clinic (@AIHealthMIT) on the breakthrough use of generative AI to design 2 novel antibiotics that could kill drug-resistant gonorrhoea and the superbug MRSA.
New Anthropic research: AI values in the wild.
We want AI models to have well-aligned values. But how do we know what values they’re expressing in real-life conversations?
We studied hundreds of thousands of anonymized conversations to find out.
Misfires play out wherever organizations fail to rethink their philosophical fundamentals...Beyond rule-following, agentic AI needs autonomous moral reasoning capabilities and a capacity for ethical deliberation in novel situations. @mitsmr
What’s at issue is our country’s 'moral economy of work'—that is, an economy based on human values and not just capital. Minsu Longiaru, senior staff attorney at PowerSwitch Action for @techreview https://t.co/V5Rt190iwW