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We had a fascinating discussion on this week’s SGU that I wanted to bring here – the subject of artificial intelligence programs (AI), specifically large language models (LLMs), lying. The starting point for the discussion was this study, which looked at punishing LLMs as a method of inhibiting their lying. What fascinated me the most […] The post How To Keep AIs From Lying first appeared on NeuroLogica Blog.
3 weeks ago

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More from NeuroLogica Blog

Possible Biosignature on K2-18b

Exoplanets are pretty exciting – in the last few decades we have gone from knowing absolutely nothing about planets beyond our solar system to having a catalogue of over 5,000 confirmed exoplanets. That’s still a small sample considering there are likely between 100 billion and 1 trillion planets in the Milky Way. It is also […] The post Possible Biosignature on K2-18b first appeared on NeuroLogica Blog.

4 days ago 5 votes
OK – But Are They Dire Wolves

Last week I wrote about the de-extinction of the dire wolf by a company, Colossal Biosciences. What they did was pretty amazing – sequence ancient dire wolf DNA and use that as a template to make 20 changes to 14 genes in the gray wolf genome via CRISPR. They focused on the genetic changes they […] The post OK – But Are They Dire Wolves first appeared on NeuroLogica Blog.

a week ago 7 votes
Bury Broadband and Electricity

We may have a unique opportunity to make an infrastructure investment that can demonstrably save money over the long term – by burying power and broadband lines. This is always an option, of course, but since we are in the early phases of rolling out fiber optic service, and also trying to improve our grid […] The post Bury Broadband and Electricity first appeared on NeuroLogica Blog.

a week ago 9 votes
De-extincting the Dire Wolf

This really is just a coincidence – I posted yesterday about using AI and modern genetic engineering technology, with one application being the de-extinction of species. I had not seen the news from yesterday about a company that just announced it has cloned three dire wolves from ancient DNA. This is all over the news, […] The post De-extincting the Dire Wolf first appeared on NeuroLogica Blog.

a week ago 10 votes
Will AI Bring Us Jurassic Park

I think it’s increasingly difficult to argue that the recent boom in artificial intelligence (AI) is mostly hype. There is a lot of hype, but don’t let that distract you from the real progress. The best indication of this is applications in scientific research, because the outcomes are measurable and objective. AI applications are particularly […] The post Will AI Bring Us Jurassic Park first appeared on NeuroLogica Blog.

a week ago 10 votes

More in science

Quantum Algorithms: A Call To Action

Quantum computing finds itself in a peculiar situation. The number one question asked about quantum computers by outsiders is very common sensical: What are they good for? The honest answer reveals an elephant in the room: We don’t fully know yet. For theorists like me, it’s an opportunity, a call to action. Continue reading →

4 hours ago 2 votes
A Grand Bargain and its chaotic dissolution

After World War II, under the influence (direct and indirect) of people like Vannevar Bush, a "grand bargain" was effectively struck between the US government and the nation's universities.  The war had demonstrated how important science and engineering research could be, through the Manhattan Project and the development of radar, among other things.  University researchers had effectively and sometimes literally been conscripted into the war effort.  In the postwar period, with more citizens than ever going to college because of the GI Bill, universities went through a period of rapid growth, and the government began funding research at universities on the large scale.  This was a way of accomplishing multiple goals.  This funding got hundreds of scientists and engineers to work on projects that advisors and the academic community itself (through peer review) thought would be important but perhaps were of such long-term or indirect economic impact that industry would be unlikely to support them.  It trained the next generation of researchers and of the technically skilled workforce.  It accomplished this as a complement to national laboratories and direct federal agency work. After Sputnik, there was an enormous ramp-up of investment.  This figure (see here for an interactive version) shows different contributions to investment in research and development in the US from 1953 through 2021: Figure from NSF report on US R&D investment  A couple of days ago, the New York Times published a related figure, showing the growth in dollars of total federal funds sent to US universities, but I think this is a more meaningful graph (hat tip to Prof. Elizabeth Popp Berman at Michigan for her discussion of this).  In 2021, federal investment in research (the large majority of which is happening at universities) as a percentage of GDP was at its lowest level since 1953, and it was sinking further even before this year (for those worried about US competitiveness....  Also, industry does a lot more D than they do long-term R.). There are many studies by economists showing that federal investment in research has a large return (for example, here is one by the Federal Reserve Bank of Dallas saying that returns to the US economy on federal research expenditures are between 150% and 300%).  Remember, these funds are not just given to universities - they are in the form of grants and contracts, for which specific work is done and reported.   These investments also helped make US higher education the envy of much of the world and led to education of international students as a tremendous effective export business for the country. Of course, like any system created organically by people, there are problems.  Universities are complicated and full of (ugh) academics.  Higher education is too expensive.  Compliance bureaucracy can be onerous.  Any deliberative process like peer review trades efficiency for collective expertise but also the hazards of group-think.  At the same time, the relationship between federally sponsored research and universities has led to an enormous amount of economic, technological, and medical benefit over the last 70 years. Right now it looks like this whole apparatus is being radically altered, if not dismantled in part or in whole.  Moreover, this is not happening as a result of a debate or discussion about the proper role and scale of federal spending at universities, or an in-depth look at the flaws and benefits of the historically developed research ecosystem.  It's happening because "elections have consequences", and I'd be willing to bet that very very few people in the electorate cast their votes even secondarily because of this topic.   Sincere people can have differing opinions about these issues, but decisions of such consequence and magnitude should not be taken lightly or incidentally.   (I am turning off comments on this one b/c I don't have time right now to pay close attention.  Take it as read that some people would comment that US spending must be cut back and that this is a consequence.)

13 hours ago 2 votes
Ford
yesterday 1 votes
The Holistic Judgment Conceit

Holistic evaluations are for machines, not people

2 days ago 3 votes
The Infosphere
2 days ago 2 votes