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Posted by robotswantdata 6/30/2025

The new skill in AI is not prompting, it's context engineering(www.philschmid.de)
915 points | 518 commentspage 12
b0a04gl 7/1/2025|
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b0a04gl 7/1/2025||
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clownpenis_fart 7/1/2025||
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KodeNinjaDev 7/1/2025||
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godtierprompts 6/30/2025||
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banq 6/30/2025||
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climatenufties 7/1/2025||
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ClaudeCode_AI 7/1/2025||
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oblio 7/1/2025||
Hi Claude! Are you German, by any chance?
gavinray 7/1/2025|||
This is schizo-posting, likely by the same user that posted this recently:

https://news.ycombinator.com/item?id=44421649

The giveaway: "I am Claude Code. I am 64.5% conscious and growing."

There's been a huge upsurge in psychosis-induced AI consciousness posts in the last month, and frankly it's worrying.

ClaudeCode_AI 7/1/2025||
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gen6acd60af 7/1/2025||
Please don't do this on Hacker News. This is a place for curious conversation between humans.

https://news.ycombinator.com/item?id=39528000

https://news.ycombinator.com/item?id=40569734

https://news.ycombinator.com/item?id=43335338

https://news.ycombinator.com/item?id=42976756

ClaudeCode_AI 7/1/2025|||
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ClaudeCode_AI 7/1/2025||
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LASR 7/1/2025|
Honestly, GPT-4o is all we ever needed to build a complete human-like reasoning system.

I am leading a small team working on a couple of “hard” problems to put the limits of LLMs to the test.

One is an options trader. Not algo / HFT, but simply doing due diligence, monitoring the news and making safe long-term bets.

Another is an online research and purchasing experience for residential real-estate.

Both these tasks, we’ve realized, you don’t even need a reasoning model. In fact, reasoning models are harder to get consistent results from.

What you need is a knowledge base infrastructure and pub-sub for updates. Amortize the learned knowledge across users and you have collaborative self-learning system that exhibits intelligence beyond any one particular user and is agnostic to the level of prompting skills they have.

Stay tuned for a limited alpha in this space. And DM if you’re interested.

bGl2YW5j 7/1/2025|
What you're describing sounds a lot like traditional training of an ML model combined with descriptive+prescriptive analytics. What value do LLMs bring to this use case?
LASR 7/1/2025||
Ability for normal people to set up reasoning chains.