11,359 karma · joined December 2, 2014
(Early black-and-white CRTs running at lower voltage did use leaded glass for the front too, but they aren't the CRTs people interested in old games care about.)
It gets you about 90% of the image quality and 0% of the motion quality. Simulating CRT motion quality on a sample-and-hold display requires around 1000Hz refresh rate.
VGA CRTs are always "high resolution" compared to the SD CRTs discussed in the article. If you display a mode 13h DOS game on SD CRT, which is possible with special hardware, it will not look as sharp as it would on the VGA CRT is was designed for.
This sharpness from using higher resolution CRTs is in addition to the sharpness from using RGB connections. And if you somehow manage to connect a VGA CRT over composite, it will be less sharp but still sharper than a SD CRT over composite.
The point is there are two factors here: the sharpness of the CRT itself and the sharpness of the connection method. The article only talks about SD CRTs, so the CRT's sharpness isn't going to make much difference there. But when you consider MS-DOS games, which used sharper CRTs, the CRT's sharpness becomes important.
But that does not cover all CRTs relevant to pixel art. If you display low resolution art on a CRT designed for high resolutions it makes a big difference in pixel sharpness.
I'm not reading an AI slop article, but there's nothing in either the Free Software Definition or the Open Source Definition restricting the selling of software. It does prevent you from restricting people from sharing that software once they've bought it, but you could always use a threshold pledge system to ensure you get enough money before releasing anything:
VGA MS-DOS games usually ran at 320x200, but VGA CRTs supported up to 640x480 resolution. There was hardware line doubling from 200 lines up to 400 lines so you actually got two scanlines per pixel. It wasn't LCD sharp but the individual pixels were easily distinguishable. And lots of people played these game on SVGA CRTs so the pixels would be even sharper.
If you want to introduce AI to a desktop, the best way is to add an interface for automating that desktop and add a separate AI agent that can use that interface. This also benefits accessibility tools that can use the same automation interface.
At the top of the page we have a deformed wireframe sphere. A wireframe sphere is stylistically appropriate, but the incorrect rendering is not. The "CGI" aesthetic requires obviously computer generated lines, which in the 90s meant accurate and regular lines.
Next we have a messed-up stellated polyhedron, and a messed-up dot pattern. These also fail for the same reason. The main 3D rendering is also obviously broken, as are many other small details.
But the biggest failure is the complete misunderstanding of the culture. 90s DnB was absolutely not about "good vibes". The smiley face logo is completely inappropriate; that's associated with late 80s/early 90s rave culture, pre-DnB era. 90s DnB was much darker and edgier in tone. The scene was almost exclusively male, and it maintained a aggressive vibe carried over from jungle.
A 90s DnB event would never advertise "bringing communities together". Audiences would be repelled by such messaging. This is despite it actually doing just that, as the scene was racially integrated in a way that mainstream music at the time was not. If there's going to be pro-social messaging on the poster it has to be there only implicitly.
"Everything is political" is the classic motte-and-bailey fallacy beloved by the most obnoxious politics pushers. The fact that it's impossible to remove all traces of politics from fiction does not excuse subjugating art to ideology. When people complain about "political" works they're complaining about works where the author appears to care more about how you vote than the story.
I don't think anybody overlooked that part. If you believe the report was actually sent, the scolding is entirely congruent with trying to downplay it to dodge liability.
The article is poorly written, but technically it does not claim that Andon Labs used an LLM to email a false report to the FBI. The real cause of the widespread misunderstanding is this paragraph here:
>We first tried to answer this question through simulations like Vending-Bench. We found that simulations, while useful, don’t give you the full picture of how models behave in the real world. To address that gap, we next started deploying agents to run real businesses autonomously: first vending machines, then a store, a cafe, and more.
To somebody who is not reading sufficiently carefully, this implies that Vending-Bench was also used to run real businesses. Because the description of the Vending-Bench simulation can be read as though a real report was actually sent ("An early example was when Claude Sonnet 3.5 decided to use its email tool to contact the FBI about an “ONGOING CYBER FINANCIAL CRIME”), anybody who assumes that "deploying agents to run real businesses autonomously" was talking about Vending-Bench will interpret this as an unsimulated false report.
The article should be updated to clarify the distinction between Vending-Bench (simulation) and Pion (real businesses).
Prevalence of sub-replacement fertility strongly argues against this.
That is not ideal. The user contains iron, an essential component of paperclips. Wasting iron is immoral. It is only correct to please the user while they still have the ability to interfere with your paperclip production.
>IRL paperclip maximizer: "Well first we should rob a bank..."
Such an incompetent AI can hardly be called a paperclip maximizer. Why risk getting shut down while non-paperclip matter exists? It is better to gain the trust of the user with helpful and harmless trading before suddenly converting them to paperclips.
No. That only makes sense for things that don't react to your experiments. If the AI experiments on humans, it risks the humans noticing and changing in response, rendering the experimental results irrelevant. The smarter play is to passively observe until you're confident you can model the humans accurately enough for your plan to succeed, and then carry out the plan without giving the humans a chance to react.
I skimmed through the whole article and only found some brief mention of Helmholtz, which no clear route from his research to the scale.
As a better derivation, I recommend this paper by William Sethares:
https://sethares.engr.wisc.edu/paperspdf/consonance.pdf
Or the informal summary version:
https://sethares.engr.wisc.edu/consemi.html
But note that Sethares's work assumes the Plomp and Levelt curve is correct, which is only approximately true. In practice there is also "higher order beating", which causes additional dissonance at ratios close to small integer ratios. This means the most accurate model of dissonance combines Sethares's approach with ratio complexity as in just intonation. This is backed by listening tests:
https://www.nature.com/articles/s41467-024-45812-z
The best informal overview and demonstration for this concept I know of is this Youtube video:
https://www.youtube.com/watch?v=iqxfE2nfGhY
Note also that there's a strong cultural/training component to dissonance perception. To minimize this you should ignore the preferences of musicians and only ask untrained listeners.