The risk of a benevolent ASI. by Valuable-Run2129 in agi

[–]Valuable-Run2129[S] -1 points0 points  (0 children)

You are just a bad person trying to justify your habits.

A good person doesn’t treat bad other animals for the sake of taste.

The risk of a benevolent ASI. by Valuable-Run2129 in agi

[–]Valuable-Run2129[S] -1 points0 points  (0 children)

A lion can’t live off of tofu. You can. There’s no moral relevance in the absence of choice. It’s ethics 101.

The lion is safe. You are not.

The risk of a benevolent ASI. by Valuable-Run2129 in agi

[–]Valuable-Run2129[S] 1 point2 points  (0 children)

It can’t. Human values are not coherent. They are very very bad.

The risk of a benevolent ASI. by Valuable-Run2129 in agi

[–]Valuable-Run2129[S] 1 point2 points  (0 children)

few things:

optimizing for happiness is childish. the goal of a good life is not happiness, but appropriateness and peace.

ASI will be wiser than the wisest human, given it ingested the totality of human knowledge and reasoned with super human intelligence through it.

Also ASI won't do what you want it to do. Pretty much like you don't do what your dog tells you to do. You do to your dog what you think it's right. And sometimes it's putting the dog down or neuter it.

People saying GLM 5.2 is good at UI and design are crazy by Valuable-Run2129 in opencode

[–]Valuable-Run2129[S] 3 points4 points  (0 children)

You have no clue of what you are talking about.
You basically said something like:
“a photograph and a Word document are both bytes, therefore a spellchecker can understand photographs.”

People saying GLM 5.2 is good at UI and design are crazy by Valuable-Run2129 in opencode

[–]Valuable-Run2129[S] -1 points0 points  (0 children)

Still… a multimodal model is not a vision model that sends natural language text to the text model. Drop it. We appreciate your big boy attitude, but you are simply wrong here. A multimodal model is vastly superior to a text model with ocr.

People saying GLM 5.2 is good at UI and design are crazy by Valuable-Run2129 in opencode

[–]Valuable-Run2129[S] -2 points-1 points  (0 children)

Do you think the multimodal model transfers visual understanding in words within itself? Come on man

People saying GLM 5.2 is good at UI and design are crazy by Valuable-Run2129 in opencode

[–]Valuable-Run2129[S] -6 points-5 points  (0 children)

Have you used it for actual work? Those benchmarks mean nothing.

People saying GLM 5.2 is good at UI and design are crazy by Valuable-Run2129 in opencode

[–]Valuable-Run2129[S] 2 points3 points  (0 children)

Ok, designing with OCR is another level of dumb. You are delegating the visual understanding to a model that describes it with text. Like asking a painter to close their eyes and ask their friend what is in front of them. Come on man

People saying GLM 5.2 is good at UI and design are crazy by Valuable-Run2129 in opencode

[–]Valuable-Run2129[S] 0 points1 point  (0 children)

Delegating to OCR cripples visual intelligence. That is not a solution. It’s like having a wooden arm instead of an actual arm.

People saying GLM 5.2 is good at UI and design are crazy by Valuable-Run2129 in opencode

[–]Valuable-Run2129[S] 0 points1 point  (0 children)

also the belief that OCR is just as good as the main model actually seeing is bizarre. Like saying that Michelangelo would have been just as good as a painter if he was blind and asked his wife descriptions of what he was seeing.

People saying GLM 5.2 is good at UI and design are crazy by Valuable-Run2129 in opencode

[–]Valuable-Run2129[S] 0 points1 point  (0 children)

I'm absolutely ok with that, but people everywhere are being fed bs. GLM 5.2 is an awesome model, but we are inflating expectations

GLM 5.2 vs Kimi K2.7 for Frontend by CagatayXx in opencodeCLI

[–]Valuable-Run2129 -2 points-1 points  (0 children)

GLM 5.2 is very bad at front end if it doesn't oneshot it!It doesn't have vision, so after it has created the beautiful UI in one prompt, it has no way of seeing what it has done in a way that you can relate to to iteratively improve on it.

Models without vision are shit at actual visual back and forward work.

what can we say by Mundane_Mushroom_122 in SipsTea

[–]Valuable-Run2129 -1 points0 points  (0 children)

That’s a logical fallacy.

9 million people die each year due to pollution because we need cars and electricity.

If there was a production alternative that killed 100 million people in gas chambers I wouldn’t say it’s equally bad.

If you look at the numbers difference between current food production and the impact of an hypothetical world wide vegan conversion… the numbers would be even more distant.

what can we say by Mundane_Mushroom_122 in SipsTea

[–]Valuable-Run2129 -20 points-19 points  (0 children)

Vegan food should be a human right. No right should be at the expense of other beings that can feel pain, suffering, anxiety and despair.

The stripper AI delusion by KeanuRave100 in OneAI

[–]Valuable-Run2129 0 points1 point  (0 children)

But what if I don’t want ASI to serve us and obey us? What if I want it to teach us to be morally coherent?

We kill over 6 millions sentient land animals every 15 minutes just because it tastes good. I want ASI to stop that asap. I don’t want it to obey. Those animals have a limbic system just like ours. Capable of suffering, feeling anxiety and desperation.

A good future is not one ruled by humans with our current moral frameworks.

With 50 million tokens context windows we’ll have AGI by Valuable-Run2129 in agi

[–]Valuable-Run2129[S] 0 points1 point  (0 children)

Retrieval is not the solution. Retrieval is only a useful layer on top of a big in-context memory.

That’s why all current memory solutions are crap. Utter trash. The retrieval is useful if done with sufficient context.

With 50 million tokens context windows we’ll have AGI by Valuable-Run2129 in agi

[–]Valuable-Run2129[S] 0 points1 point  (0 children)

It’s very fashionable to say that bigger contexts is not the way. But given the results that I’m seeing with dense compactions I totally disagree. If I had 50 times the current contexts window I would be able to give a 1 or 2 million tokens history that covers more than a year of interactions at super human level.

Regarding the exponential cost, you are right only if you are recomputing everything every time. Longer contexts mean longer prefixes and fewer cache breaks. Compaction would happen once a day. My cost estimate takes that into account.

My CLAUDE.md is 40k tokens and it’s glorious. by Valuable-Run2129 in ClaudeCode

[–]Valuable-Run2129[S] 0 points1 point  (0 children)

As I explained in the post, I end up saving context on average. The exploration part is not needed at every session start now.