> For anyone wondering why it takes so long to actually switch this stuff out
One counterpoint is do we really NEED to have brightly colored foods? It's a hard problem if you need a food to be bright red. But, that has to boil down to strictly to improving sales, right? Hypothetically, if all the artificial food dyes were banned, then all food companies would be on the same level playing field.
I thought this might be a useful article because I've often had a similar question. But there's a diagram that has text:
> More simply put: imagine that you have red, green, and blue light sources. What is the intensity of each one so that the resulting light matches a specific color on the spectrum?
> ...
> The CIE 1931 color space defines these RGB color matching functions. The red, green, and blue lines represent the intensity of each RGB light source:
This seems very oddly phrased to me. I would presume that what that chart is actually showing is the response for each color of cone in the human eye?
In which case it's not a question of "intensity of the light source" but more like "the visual response across different wavelengths of a otherwise uniform intensity light source"?
... fwiw, I'm not trying to be pedantic, just trying to see if I'm missing the point or not.
> I don't know why the narrative became "don't call it hallucination".
Context is "don't call it hallicination" picked up meme energy since https://link.springer.com/article/10.1007/s10676-024-09775-5 on the thesis that "Calling their mistakes ‘hallucinations’ isn’t harmless: it lends itself to the confusion that the machines are in some way misperceiving but are nonetheless trying to convey something that they believe or have perceived."
Which is meta-bullshit because it doesn't matter. We want LLMs to behave more factually, whatever the non-factuality is called. And calling that non-factuality something else isn't going to really change how we approach making them behave more factually.
> Unless you could somehow make an Alcubierre warp drive.
Even if you can make it, even though it's theoretically possible that the warp bubble could move through space faster than the speed of light, it's a separate and completely open question as to how you might actually get it to move that fast to begin with.
There are a lot of real world caveats that go into those range estimates. I just took my long range Tesla Model Y with an advertised 326 mile range on a multi-day road trip and I was stopping to charge about every 100 miles. I would love to get something with 3x the advertised range.
A pet nit, and the standards probably don't permit this, but for encoding 128-bit numbers, I prefer base-57 in my own implementations. 22 characters for a 128-bit encoding, same as base-64. You can split it into two 11-character 64-bit encodings. You can avoid the two non-alphanumeric characters in base-64 as well as the similar-looking characters like l1 and oO0. And it takes less visible space, so a bit easier for debugging and tabular output with otherwise no loss of generality.
Evidence suggests that none of this is true. Just look at how Google Fiber wasn't able to navigate the myriad regional regulatory roadblocks thrown up by local governments when lobbied by incumbent ISPs. It's reasonable to expect exactly the same scenario to play out if Google tries to make a competitive ride sharing service from scratch.
I think there is true emergence coming from these newest large language models, which is something that can't be captured by reducing the system to merely a mathematical Plinko machine. To understand emergent behaviors, the system really does need to be treated like a black box and experimented on.
And a secondary point, what if a large fraction of our intelligence comes from language, not the other way around. If that's true, then we might be well on our way to building the spark of an AGI.