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cheevly
searching Neon…
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8 ms
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1.
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by
cheevly
8d ago
Do you realize how many times ive read your exact copy pasted comment on the internet the last 6 years?
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by
cheevly
10d ago
That’s an interesting algorithm you use to classify anything driven by an algorithm.
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by
cheevly
10d ago
AI can compress AI nearly losslessly.
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by
cheevly
10d ago
Only Minecraft is Minecraft. Is that the bar for creating Minecraft?
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by
cheevly
10d ago
The type of people that can’t get results are the people that don’t share the process that didn’t work for them.
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by
cheevly
12d ago
Its been months since then!
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by
cheevly
19d ago
Many of us use LLMs to generate code, tools and other artifacts without agents.
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by
cheevly
22d ago
You need to operate at a higher level of abstraction.
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by
cheevly
23d ago
It’s profoundly more solved than most anyone realizes, including yourself. It will be very clear within the next 3 months.
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by
cheevly
2mo ago
Altman has no shares in OpenAI.
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by
cheevly
2mo ago
Every word of this seems objectively false. AI is more than capable of handling the details. I have generated countless tools for myself without needing to know or care about the details.
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by
cheevly
2mo ago
Maybe like… focus on the actual content instead of perceived writing patterns? Crazy I know.
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by
cheevly
2mo ago
There are at least a dozen scaling laws for AI right now. It’s improving on so many different fronts that people don’t seem to comprehend.
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by
cheevly
3mo ago
The irony of this article is thick.
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by
cheevly
3mo ago
I'm pretty sure programmers weren't the ones writing the specs in the past...
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by
cheevly
3mo ago
Lacking willpower sounds biological to me... do you disagree??
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by
cheevly
3mo ago
If yours cant, then I implore you to find better AI mediation tools.
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by
cheevly
3mo ago
GPT literally generates perfect code for me in languages that do not exist anywhere in its training set, so I’m not sure how you’ve achieved this level of failure.
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by
cheevly
3mo ago
Ever since the first Davinci model of GPT-3 ive literally been using LLMs daily. It was an indispensable tool for me from the very beginning and despite 10,000+ hours of usage and research, I still feel like ive barely cracked the surface o
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by
cheevly
3mo ago
When I use AI to produce a work, it’s human-made, just the same as when I use a computer to synthesize digital works using human-developed automation tools like word processors. All built on top of operating systems that manipulate bytes of
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by
cheevly
3mo ago
This is a great answer.
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by
cheevly
3mo ago
Yeaahh, that you assert that makes your point says a lot.
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by
cheevly
4mo ago
I think the prevailing answer is lack of evidence, with things like suffering / death and stuff as a close second.
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by
cheevly
4mo ago
Imagine classifying Apple as AI experts. You are lost my dude.
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by
cheevly
4mo ago
It really sounds like you’re doing it wrong (using multi-agent patterns of yesteryear). The proper way is to use multiple agents for work involving very large context, and splitting the context amongst them. It effectively enables encapsula
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by
cheevly
4mo ago
Agents are perfectly capable of learning. Why would the model need to learn? The harness and tooling are all that matter.
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by
cheevly
4mo ago
This is my experience. Though ice been writing LLM harnesses, agents, tooling, etc for 5 years now and believe it requires several hundred hours of experience before understanding how to consistently outperform at scale.
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by
cheevly
4mo ago
These types of comments help demonstrate first-hand how human reasoning stacks up against what an LLM would say in this situation.
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by
cheevly
4mo ago
A lot of us have been doing this for over a year now.
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by
cheevly
4mo ago
What would you even need to see? I struggle to find things that I cant do at scale with AI, and it’s dumbfounding to read posts about people that are unconvinced.
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