front end frameworks devolve from utility to ego if you give them enough time
@waitin4agi_
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Code Training Boosts LLM Reasoning Beyond Natural Language
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if you want another reason to learn to code then you must know that there are now several papers that claim LLMS trained on code perform better at reasoning (even on non-coding tasks) than just ones trained on natural language.
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Gaming as Future When People Have More Free Time
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if u believe everyone is going to have a lot of time on their hands then naturally games are the future
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Misleading AI Benchmarks and Curated Prompt Engineering
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"carefully curated prompts and responses"
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I've found benchmarks in this space considerably misleading. I'd love to use it. -
No Moat in Image Models: Civit Platform Analysis
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After spending 30 mins on Civit, I’m convinced there’s no moat in image models lol
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Finding and Collecting Unlisted Training Data at Scale
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You have to find data that’s not already on common crawl etc. and you need loads of it. It’s manual labour to a whole new level.
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WhatsApp Usage for Computer Science Homework Completion
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You will be surprised how many people use WhatsApp to answer computer science assignments
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Data Cleanup Work Required for GPT Equivalence Often Underestimated
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Also your comment trivialises the sheer amount of data and cleanup work someone has to do to get to GPT equivalence.
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Fine-tuning Creates GPT-Equivalent LLMs, Not Just Wrappers
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It’s not a wrapper. It’s fine tuning. And the end result is an LLM equivalent to GPT. ChatGPT stands on the shoulders of many giants it did not build either.