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NEW ORLEANS—“OK, I want to finish writing this article today. But how should it begin? Hmm, maybe just like that. Wait, does Science use ‘OK’ or ‘Okay’?” Many people say they have an inner monologue running through their heads, narrating their lives. The phenomenon, plus a wealth of research, suggests humans use language not only for communicating, but also for thinking.

Now, it seems artificial intelligence (AI) may benefit from imitating humans’ inner monologue. In a laboratory experiment, tying language to actions improved an AI program’s ability to learn complex tasks, researchers reported here last month at the Neural Information Processing Systems (NeurIPS) conference. The advance might enable AI to learn from, say, YouTube instructional videos.

“I really liked this,” says Anna Borghi, a psychologist at Sapienza University of Rome who studies cognition and language and was not involved in the experiment. “The most interesting aspect is that the presence of language grants flexibility. Even complex actions can be accomplished more easily.”

In my paper, “A Case for Physicalism about the Human Mind,” I didn’t attempt to defend physicalism about human mentality (henceforth, just physicalism) against the many objections that philosophers, and others, have made to it. Instead, I tried to assemble positive evidence that physicalism is true, while insisting that no aspect of human behavior, including human linguistic behavior, makes it necessary to adopt any kind of dualism about human mentality. In their reply to my paper, Professors Taliaferro and Goetz (henceforth, TG) don’t engage in any detail with my positive case for physicalism[1], and they offer no examples of human behavior that can’t be explained unless some kind of dualism is assumed. Their main objection to my paper is, rather, that, because it only takes account of evidence “from the third-person point of view,” it entirely overlooks “the first-person point of view,” which, they hold, shows us that human mentality has certain features incompatible with physicalism. Examples of such features would be that “a choice is an uncaused mental event,” and that “a reason is a purpose that provides an ultimate and irreducible teleological explanation of that choice.” In my reply to TG, I’ll respond to this objection only; I won’t take up every disagreement I have with TG’s reply.

Before I can respond to TG’s main objection, however, I must clarify it. Since “the first-person point of view” is presumably just the point of view provided by introspection, TG’s main objection must be that introspection of one’s mental states somehow shows one that human mentality has certain features incompatible with physicalism. However, it’s important to distinguish between the following two claims:

(TG1) By introspecting one’s own (say) choices, one acquires some reason to think that they are uncaused mental events.

NASA’s Parker Solar Probe has already gotten closer to the sun than any other human-made object. Yet, later this year, the star-skimming spacecraft will get even closer — all while traveling faster than its previous top speed.

The solar observatory — which, on Dec. 28, 2023, completed its 18th close flyby of the sun — will once again approach our star on Dec. 24, 2024. During this encounter, it will come within around 3.8 million miles (6.1 million kilometers) of the photosphere, which can be roughly considered the sun’s surface. (The sun is a ball of gas, so it doesn’t really have a surface.) To do so, the spacecraft will brave temperatures of around 2,550 degrees Fahrenheit (1,400 degrees Celsius).

“We are basically almost landing on a star,” Nour Raouafi, an astrophysicist at the Johns Hopkins University Applied Physics Laboratory and project scientist for the Parker Solar Probe mission, told BBC News. “This will be a monumental achievement for all humanity. This is equivalent to the Moon landing of 1969.”

ARTIFICIAL intelligence is being used by crooks to part you from your cash – but there are ways to stay safe.

Security experts are warning internet users to be on high alert as criminals use AI to target their victims.

AI has plenty of great uses, from giving you cooking advice to generating funny “stickers” inside WhatsApp.

An unexpected genetic discovery in wheat has led to opportunities for the metabolic engineering of versatile compounds with the potential to improve its nutritional qualities and resilience to disease.

Researchers in the Osbourn group at the John Innes Centre have been investigating biosynthetic gene clusters in wheat – groups of genes that are co-localized on the genome and work together to produce specific molecules.

Background: The Promise of Prime Editing

Prime editing is a promising technology for changing genomic deoxyribonucleic acid (DNA) that has the potential to be used to cure genetic diseases in individuals. Prime editors are proteins that can replace a specific deoxyribonucleic acid sequence with another. PE systems necessitate three distinct nucleic acid hybridizations and are not dependent on double-strand deoxyribonucleic acid breaks or donor deoxyribonucleic acid templates.

Researchers must devise efficient and safe techniques to deliver prime editors in tissues in the in vivo settings to fulfill PE’s objective. While viral delivery techniques such as adenoviruses and adeno-associated viruses (AAVs) can transport PE in vivo, non-viral delivery techniques like lipid nanoparticles can sidestep these concerns by packaging PEs as temporarily expressing messenger ribonucleic acids.

It is still unclear whether and how quantum computing might prove useful in solving known large-scale classical machine learning problems. Here, the authors show that variants of known quantum algorithms for solving differential equations can provide an advantage in solving some instances of stochastic gradient descent dynamics.

Humans have dreamed about traveling to other star systems and setting foot on alien worlds for generations. To put it mildly, interstellar exploration is a very daunting task.

As Universe Today explored in a previous post, it would take between 19,000 and 81,000 years for a spacecraft to reach Proxima Centauri using conventional propulsion (or those that are feasible using current technology). On top of that, there are numerous risks when traveling through the interstellar medium (ISM), not all of which are well-understood.

Under the circumstances, gram-scale spacecraft that rely on directed-energy propulsion (AKA lasers) appear to be the only viable option for reaching neighboring stars in this century.