Dlemlo

7 ms·

61.
by Dlemlo 1mo ago
It only becomes a problem if the actions you take, are a one way street and net negative. I for sure take AGI serious enough for my job, that I will not take out a big loan anymore. But there are also indications right? If a lot of smart pe
62.
by Dlemlo 1mo ago
Its fine if he trusts the right experts. And its not really hard to at least understand one point: We are putting the most amount of money ever into compute and the smartest people on the planet on one topic: AGI and we see progress every m
63.
by Dlemlo 1mo ago
Yeah and if you look at there numbers, they can just afford it. When you realize how big zuckerberg still is.
64.
by Dlemlo 1mo ago
I tried to build a procedural 3d asset pipeline for a specific use case. Before the Opus upgrade in November it was basically no way of doing this. I gave up very quickly. After November i tried again, and no model could build me anything r
65.
by Dlemlo 1mo ago
It might be an acessability issue. If you already have a magic interface, which helps you pro activly in responding to everything uncensored because you feel like 'observered' or whatever and then you spiral in a whole and that on
66.
by Dlemlo 1mo ago
Yeah right?
67.
by Dlemlo 1mo ago
No clue why people use linkedin posts serious? I mean, i check it to see if a recruiter has something interesting but otherwise?
68.
by Dlemlo 1mo ago
It already makes a difference for me. Instead of going through logfiles, i copy and paste them to claude and it does something and tells me the right answer. In coding, tools i vibe code. But the industry is still working on the agentic lay
69.
by Dlemlo 1mo ago
Blog articles from Anthropic and others show that this is not true. A LLM already knows more tokens than the current one. It was mentioned in a blog post about how a LLM is doing haikus and co. There are also structures in an LLM which allo
70.
by Dlemlo 1mo ago
It's the fitness function: Make a model which is capable of predicting the next token. The next token of what? EVERYTHING. So what does this lead to? To a generic intelligence which is capable of responding/answering everything. I
71.
by Dlemlo 1mo ago
They learned generic concepts like our brain does to optimize for this particular surprisngly perfect task: You have to be able to respond to a very generic question in a way that the other entity thinks this is good, comprehensive, etc. Yo
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by Dlemlo 1mo ago
Human intuitision is something which is good and bad and i don't know if an LLM needs this. We have wiki pages describing fallacies of our brain we need to be aware of.
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by Dlemlo 1mo ago
Its hard to understand how exactly these AI people mean it. When i say "AI is changning the world" its more like "I can already see how this technology will continue to become better and better and has more impact every singl
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by Dlemlo 1mo ago
Its still human made frontier progress. And for sure it has a tremendes amount of implications, but its not the fault of the technology (we found, not invented). And i'm only living once, my main motivation is not to just live day in d