Disruptive science in decline

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Published on: January 6, 2023

An interesting article and study about decline in disruptive science in most research fields.

Few excerpts from the article:

Disruptiveness is not inherently good, and incremental science is not necessarily bad, says Wang.”

Finding an explanation for the decline won’t be easy, Walsh says. Although the proportion of disruptive research dropped significantly between 1945 and 2010, the number of highly disruptive studies has remained about the same. The rate of decline is also puzzling: CD indices fell steeply from 1945 to 1970, then more gradually from the late 1990s to 2010. “Whatever explanation you have for disruptiveness dropping off, you need to also make sense of it levelling off” in the 2000s, he says.

More of this here @nature: [The link]

DISRUPTIVE SCIENCE DWINDLES. Chart shows disruptiveness of papers has fallen over time in all analysed fields.

Nuclear Fusion: Seems there is a major (scientific) breakthrough

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Published on: December 16, 2022

Lots of articles and hype around Nuclear Fusion these days (dec 2022). Seems this time around it is a breakthrough of some scientific significance. A nice article from MITTech review explaining and putting results in context of current progress.

e.g. “..This is a big moment for fusion power, a basic test that the field has been striving for since researchers started dreaming about it in the 1950s. That deserves to be celebrated, and I think it’s fine to get excited about it. It’s a true milestone.

But…we need to be clear here. This is primarily a scientific achievement. Fusion has a long way to go to be a technology that we’re really using in our daily lives.”

More of this here: [The Link]

Generative AI: is this something new?

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Published on: October 29, 2022

A nice summary of the recent trends in AI, where we get these cool new images or art generated by AI. See more of this in the article from Techcrunch: [The Link]

 

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TC: There’s a lot of confusion about generative AI, including how new exactly it is, or whether it’s just become the latest buzzword.

JC: I think what happened to the AI world in general is that we had a sense that we could have deterministic AI, which would help us identify the truth of something. For example, is that a broken piece on the manufacturing line? Is that an appropriate meeting to have? It’s where you’re determining something using AI in the same way that a human determines something. That’s largely what AI has been for the last 10 to 15 years.

The other sets of algorithms in AI were more these diffusion algorithms, which were intended to look at huge corpuses of content and then generate something new from them, saying, ‘Here are 10,000 examples. Can we create the 10,001st example that is similar?’

Those were pretty fragile, pretty brittle, up until about a year and a half ago. [Now] the algorithms have gotten better. But more importantly, the corpuses of content we’ve been looking at have gotten bigger because we just have more processing power. So what’s happened is, these algorithms are riding Moore’s law — [with vastly improved] storage, bandwidth, speed of computation — and have suddenly become able to produce something that looks very much like what a human would produce. That means the face value of the text that it will write, and the face value of the drawing it will draw, looks very similar to what a human will do. And that’s all taken place in the last two years. So it’s not a new idea, but it’s newly at that threshold. That’s why everyone looks at this and says, ‘Wow, that’s magic.’

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[2022] Status of AI based image generation

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Published on: August 3, 2022

Interesting article on the status of automated generation of images using AI. Some snippets from the article

“..Lots of labs and companies are working on similar technologies that turn text into imagery. Google has Imagen, OpenAI has DALL-E, and there are a handful of smaller projects like Craiyon. “

“..AI-generated artwork is quietly beginning to reshape culture. Over the last few years, the ability of machine learning systems to generate imagery from text prompts has increased dramatically in quality, accuracy, and expression. Now, these tools are moving out of research labs and into the hands of everyday users, where they’re creating new visual languages of expression and — most likely — new types of trouble.”

 

More of this here from Verge: [The Link]

[aeon] Scepticism as a way of life

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Published on: July 31, 2022

The desire for certainty is often foolish and sometimes dangerous. Scepticism undermines it, both in oneself and in others.. An interesting article from aeon.

An interesting passage: “…The sceptical way of life, on Sextus’ presentation, follows a certain rhythm. You feel puzzlement about something. You search for knowledge about it. You arrive at two equally weighty considerations about what is happening. You let go trying to find an answer. And once you recognise that you might not find a solution, it brings some mental tranquility.”

 

More of this here: [The Link]
Also of interest:

Summer season & travel to old places

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Published on: July 13, 2022

Faro, Portugal

Studies on effects of social media [NewYorker]

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Published on: June 13, 2022

There’s a general sense that it’s bad for society—which may be right. But studies offer surprisingly few easy answers. A recent article from New Yorker on a complexities of getting data to show the effects of social media. Also a serves as a good launching pad to dig further into this. Points to quite a few studies and researchers in this field.

 

More of this here: [The Link]

XKCD: assigning numbers

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Published on: April 23, 2022

xkcd link

[Perspective] Is Digital Art Real Art?

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Published on: March 27, 2022

Science of Art

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Published on: March 12, 2022

An interesting article from inference-review.com on the growth of science of art. What can we learn from digitizing, coding and using algorithmic tools on database of items and paintings and other art.

Few tools and methods taken from different fields of science: probabilities, evolutionary principle, genealogy trees, networks and others. Interesting lis t of projects are also mentioned in the article.

“…For now, as always, it is humans who find meanings in the world and science is just a way of testing their truth. All that is required for the use of science, or any other rational method of investigation, is a consensus that those interpretations not be solipsistic and equivocal, but public and falsifiable.” 

“…The prospect of a science of art is, to me, dazzling. When I consider it I feel as Aristotle must have felt when he stood upon an Aegean shore and saw, for the first time, that living things might be the objects of science. A small shift of perspective and virgin vistas appear.” Art as objects of science…

More of this article here: [The Link]

[DOI: 10.37282/991819.22.16]

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