Lifeboat Foundation: Safeguarding Humanity
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Blog – Page 3380

Perspective from a very-educated layman. Er, laywoman.

This is Hello, Computer, a series of interviews carried out in 2023 at a time when artificial intelligence appears to be going everywhere, all at once.

Sabine Hossenfelder is a German theoretical physicist, science communicator, author, musician, and YouTuber. She is the author of Lost in Math: How beauty leads physics astray, which explores the concept of elegance in fundamental physics and cosmology, and of Existential Physics: A scientist’s guide to life’s biggest questions.

Continue reading “Hello, Computer — Sabine Hossenfelder — A.I. going mainstream” | >

The other day a friend proudly told me she wrote a heartwarming graduation card to her teenage son. “Okay,” she confessed. “I

How long was your card? I asked her.

Not only that, but many also couldn’t even generate a topic on their own. They lacked creativity to dream up their own ideas, much less the critical thinking skills to put themselves in the shoes of their audience, imagining what would land. But they all had 4.0 GPAs or higher and came from private schools in Orange County and LA, reflecting our watered-down educational system.

And now we’re being told ChatGPT is a boon for our students?

Continue reading “Will AI Produce Useless Humans?” | >

According to the Financial Times, Meta is in talks with Magic Leap, an AR headset company, to look into licensing the latter’s tech.

Meta is reportedly in talks with a company called Magic Leap with an eye to a partnership that could see Meta developing its alternative reality (AR) headset in the future.

According to the Financial Times, the two are negotiating a multi-year intellectual property (IP) and manufacturing alliance. The report’s timing is significant for a few reasons.

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With LIMA, Meta’s AI researchers introduce a new language model that achieves GPT-4 and Bard level performance in test scenarios, albeit fine-tuned with relatively few examples.

LIMA stands for “Less is More for Alignment,” and the name hints at the model’s function: It is intended to show that with an extensively pre-trained AI model, a few examples are sufficient to achieve high-quality results.

Few examples in this case means that Meta manually selected 1,000 diverse prompts and their output from sources such as other research papers, WikiHow, StackExchange, and Reddit.

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Summary: Scientists present a hypothesis dubbed “Cytoelectric Coupling” suggesting electrical fields within the brain can manipulate neuronal sub-cellular components, optimizing network stability and efficiency. They propose these fields allow neurons to tune the information-processing network down to the molecular level.

Comparatively, this process is akin to households arranging their TV setup for optimal viewing experience. The theory, open for testing, could significantly enhance our understanding of the brain’s inner workings.

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Summary: Neurons in the hippocampus vary in function depending on their exact genetic identity. The study revealed these neurons, once believed to be homogeneous, are quite diverse and encode task-related information differently based on their location. This newfound understanding of neuronal diversity could lead to better comprehension of brain functions, memory capacity, and potentially advance disease treatment strategies.

Key Facts:

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Summary: Researchers used artificial intelligence to predict how enzymes interact with various substrates. The team developed an AI model that can accurately predict whether an enzyme can work with a particular molecule.

Their enzyme substrate prediction (ESP) model provides a valuable tool for drug research and biotechnology, with applications ranging from the creation of new drugs to the production of biofuels.

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