Terra Nullius by Claire G. Coleman, about what it's like to be colonized.
Souls in the Great Machine by Sean McMullen, about what it's like to be part of a computer.
645 karma · joined April 20, 2010
Terra Nullius by Claire G. Coleman, about what it's like to be colonized.
Souls in the Great Machine by Sean McMullen, about what it's like to be part of a computer.
Claude answered with several well-known works, but also included "Marimba Lumina" (1986) by Philip Glass - Written for the virtuoso marimbist Rei Sasaki, it merges Glass's repetitive rhythmic style with dramatic gestures."
That's not a thing...
I followed up with "actually, I don't see any evidence that Marimba Lumina (1986) by Philip Glass is a real piece of music - is it possible that you hallucinated it?"
And Claude answered "You're absolutely right, upon further research it appears I did make a mistake in citing "Marimba Lumina" by Philip Glass as an actual musical composition. I do not have any factual evidence that such a piece exists. As an AI, I do not truly "hallucinate" or imagine non-existent information, but I can generate incorrect information if there are gaps or inaccuracies in my training data. In this case, it seems I conflated details between Steve Reich's "Six Marimbas" and Philip Glass's legitmate "Concerto Fantasy for Two Timpanists and Orchestra." I likely crossed the concepts of Philip Glass, marimba, and minimalism too eagerly when answering the original question. As an AI still in development and training, mistakes like this can happen in my efforts to produce relevant, detailed responses. Thank you for catching this inaccurate example - it will help strengthen my knowledge and improve my response validity going forward. I appreciate you taking the time to verify and correct me."
which was pretty interesting...
[edited below - because threaded comments can come across wrong]
I wonder if how Alex's boss would tell this story is - my employee landed a $35m account, then failed to manage the account successfully, and when $35m walked out the door, we never understood what we did wrong
Out of curiosity, why is MIT (and presumably others) relating this to WiFi access.
I like an open guest network WiFi when I’m visiting a place…
(1) https://www.whitehouse.gov/wp-content/uploads/2022/01/010422...
[1] 0.36 in slowing decline in functional abilities, equivalent to ~3 years of delayed decline [2] 48% reduction in at fault auto crash risk [3] 30% reduction in the risk of experiencing serious [0.5 s.d.] worsening of depressive symptoms [4] 29% reduction in dementia incidence [hazard ratio]
These are all clinically meaningful effect sizes.
Regarding the dementia incidence study, it's correct that two of the cognitive training interventions did not show effects, and speed of processing training did. In my view, a straightforward interpretation is that different types of cognitive training are different (much like different small molecule pharmaceuticals are different), and consequently they have different effects on endpoints like dementia incidence.
ACTIVE showed that cognitive training slowed decline in instrumental activities of daily living [1], and that adaptive computerized speed training in particular reduced at-fault car crashes [2], reduced depressive symptoms [3], and most importantly reduced the incidence of dementia [4]. The NIH is spending tens of millions of dollars on follow-up trials to extend the results.
To dismiss ACTIVE in the brief paragraph is...startling.
>> We demonstrate that this optimism is due to the field neglecting the results of meta-analyses >>
A strong statement from a paper that doesn't seem to cover multiple positive meta-analyses of cognitive training [5, for example].
In my view, if you read a lot of papers in this field (and I do), the pattern is that negative articles generally focus on working memory training and effects on IQ or "generalized cognitive ability" (whatever that is); and positive articles generally focus on neurocognitive measures and real-world functional measures. One reasonable interpretation [and there are many!] is that programs focused on using working memory techniques to improve IQ are not generally effective, and programs using speed/attention training to improve specific aspects of cognitive and real-world performance are effective.
Meanwhile, out in the clinical world, cognitive training is now recommended by clinical guidelines from the American Academy of Neurology and the World Health Organization, and offered as a benefit by a dozen Medicare Advantage plans around the country.
Disclaimer: I work at BrainHQ, and have published in this field. Further disclaimer, a HN comment isn't an academic article.
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4055506/ [2] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3057872/ [3] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2657170/ [4] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5700828/ [5] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7050567/
But the magic of Scratch is the community. My daughter learned Scratch, and she joined multiple teams of 10-year olds making all kind of interactive stories and games. And virtually every interaction she had was positive, uplifting, and helped her construct her identity as a programmer.
She now teaches Scratch for kids and programs in Java and Python. But making those friends and doing those team projects was invaluable - and nearly unreplicable in another language/ environment.
My perception is that some people who don't want to do background checks feel that way because they don't want to know embarrassing details about their employees and colleagues that aren't relevant to work. And the good news is that employers can generally set up background check reporting to simply not report issues that employers don't think are relevant. And that makes it easier to offer background checks, and easier to meet SOC-2 audit requirements.
Like many people here, I didn't like the requirement. That being said
1) It's possible to configure background checks so you don't receive irrelevant information (e.g., if DUIs aren't relevant, then configure the check so you don't receive information about DUIs). In most cases, you'll just want to receive information about financial and privacy related offenses.
2) What you do with the information is up to you (unless your customers enforce certain actions). In general, the SOC-2 auditors will want to see a plan by which you acknowledge and manage the risk, which doesn't necessarily mean you can't hire the person.
IANAL.
Unfortunately the museum is still closed due to COVID, but they've said they're not permanently closed...
We’re still waiting for the outcome of the NIH funded randomized controlled trial.
From a cost perspective, Vanta + a Vanta-partnered auditor was less expensive that just an auditor (presumably because the information was organized so the auditor had to do less work to complete the audit).
The Vanta platform ends up being a place to put documents so the auditor can find them (which is more useful than you might think if you haven't done a SOC-2 audit). They offer several Vanta-developed continuous monitoring tools (e.g., endpoint configuration monitoring, AWS vulnerability monitoring), which are not as well developed as independent tools (e.g., Kandji, AWS Inspector) but are convenient for auditors documenting continuous compliance.
As I understand it, they are working towards being more of an integration center for independent tools, so Kandji/AWS Inspector information can flow into the Vanta system.
[1] https://www.amazon.com/Lexicon-Urthus-Dictionary-Urth-Cycle/...
IMHO, this is a company culture issue more than an incentive issue.