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emptysqua.re | ||
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bit-player.org
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| | | | | [AI summary] The text explores the capabilities and limitations of large language models (LLMs), comparing them to human cognition and historical AI efforts. It discusses how LLMs generate text, their training on vast data, and their ability to mimic human-like reasoning. The piece also touches on the debate about whether LLMs truly 'think' or merely simulate understanding. Additionally, it references various studies, experiments, and examples, such as Shakespeare's plays, word ladders, and code generation, to illustrate the current state of AI and its potential future developments. The text concludes with a balanced view of LLMs' strengths and the ongoing challenges in achieving true artificial general intelligence (AGI). | |
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www.codesimplicity.com
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| | | | | Before all the laws of software, before the purpose of software, before the science of software design itself, there is a singular fact that determines the success or failure of a software developer. This fact makes the difference between the senior engineer who can seem to pick up new languages in a day and the junior developer who struggles for ten years just to get a paycheck, programming other people's designs and never improving enough to get a promotion. It differentiates the poor programmers from ... | |
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abdulapopoola.com
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| | | | | I try to read a lot of books. Over the years, my'taste' for books has been refined and some of my criteria are listed below. | |
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vxlabs.com
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| | | The new Python package and project manager uv is in fact amazing. I say that, because it's really fast, but more importantly because this single tool does a whole lot, really fast: Installing Python binaries, installing and running packages in self-contained environments like pipx, managing virtual environments. However, I've been avoiding it so far due to one flaw: uv defaults to installing its virtual environment and all dependencies into the .venv sub-directory of your project, almost exactly like the... | ||
