lazysheepherd
Joined 9 years ago
Joined 9 years ago
As they say: any idiot can build a bridge that stands, only an engineer can build a bridge that barely stands.
You can simply deploy different versions and compare the neutral + positive / negative feeback ratio.
It would be sinful if they did not add other metrics like how many times the user had to correct and update their prompt before ending the chat, etc.
Data, data, data...
LLMs are known to be compute/energy hungry to execute. It is a developing technology, if not downright experimental.
Therefore, this explanation is very likely. I cannot see the reason to call this a conspiracy.
This is very annoying.
www.google.com/webmasters/tools/spamreportform
As you increase the number and the precision of laws, you inevitably increase false positives.
First you will hit the resource issue. Secondly, you will see laws being weaponized.
If you can pay a lawyer 1k/hour, you can get anyone arrested. They will find a way. More laws you have, more ways they can use. See the case of Steven Donziger: https://twitter.com/SDonziger
Especially in the cities, all insurgents have to do is wait, and rain down bullets. Many will miss, but some will hit.
If you look at life as good & evil, you won't solve any conflicts. You should rather focus on "incentives". Correcting bugs and errors take time and other resources, therefore require incentive to prioritize. If their bots were to stamp Microsoft projects with open source licenses, there would be huge incentive for them to tackle this problem within this sprint, and make sure it never happens again.
This bug profits them, or does not harm them at worst case. Therefore, by drawing attention and applying pressure, we should create the incentive for them to allocate resources to fix it, and make sure it does not repeat.
As I like so say: "I am merely 30 cloudy days away from white, and just one good tan away from 'person of color'." Therefore, I have the least stake in the racial discussion. Doesn't affect me one way or the other.
However, I am not least bit of shy to hiss at either side when they cross a certain line. At one side, if you take a person's race into account while deciding anyting, you're off the game for me. At the other side, if you try to control my language, you are off the game as well.
Your capability of being offended does not, and should not grant you rights or leverage against other people.
As a tech person, one should already know why censorship, blacklists and backdoors are bad ideas. Because no matter how pure your intentions were when you were first putting them in place, once in place, they inevitably will creep forward and get bigger and worse.
Let's skip the can of worms about if the political correct speech is effective. It will be an endless discussion. However, we can discuss the practicality of policial correct speech. Because those are the two requirements of any solution to any problem: 1) effectiveness 2) practicality If you fail one, your solution is, well, not a solution.
Simple argument:
1) "offensive" is a subjective, and elastic word
2) therefore set of possible offensive words for a large population is infinite
3) infinite amount of taboo words = no communication
4) THEREFORE: we must assert that political correct speech is not "practical", and can't be a solution to anything.
I advise you to put your energy into more practial solutions. That is, if you don't care more about being right, over being effective.
With space debris, come debris cleaning bots, with those bots come more space debris, and next generation of cleaning bots ad infinitum. The net profit/benefit will scale in the meantime, which is what really matters.
This. It is a mashup of both. I can clearly visualize many 3D objects in my mind, as well as zoom, pan, scale, rotate, recolor, animate, distort them, etc. But it is not purely visual, because I often "see" opposite side of a cube momentarily, which I should not be able to from this perspective.
So, it is not a rendering engine. It is not physically, spatially and temporally stable. Stability is lost especially as your focus shifts (e.g. "seeing" behind objects as your attention slips there)
The best way I know to describe this is by old and new Tesla FSD predictions which are sampled here: https://youtu.be/j0z4FweCy4M?t=3768
Improved version is how people talk about visualization, but the old unstable version is how (at least for me) it mostly is.
Since when "describe only what the code change does" is pretending to be human?
You guys are just mining for things to moan about at this point.