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lifeisstillgoodtoday at 8:21 PM1 replyview on HN

My advice to any CEO / individual - throw your hands in the air and bring it in-house. Yeah the performance can dip depending on what GPUs you can salvage these days but the uncertainty over price is almost nothing compared to the uncertainty over the effective use of AI. It’s not just coding (do I go partly agentic or all out Steve Yegge). This is all over the enterprise - do we parse every email, rewrite PowerPoints? Or just stop using PowerPoints at all. Do we throw LLMs at the mess of wikis and word docs, do we pretend that the policies no-one has ever read actually are how the LLM should think or is it how the work actually gets done - barely documented

The uncertainty of how to use this vastly vastly outweighs the price in a data centre - so buckle up, buy enoughbGPUs to experiment at a known cost and one day you will find the approach that gives you 10x returns - at that point pay any price per token but not till then


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nojitotoday at 8:24 PM

>bring it in-house

People don't like to hear this but the open models just aren't good for end to end agentic workflows.

There are some very very good small open models that can excel in certain finite bounded tasks, but the foundational models are essential to building out agentic pipelines that actually work.

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