alt Hacker NewsBy my estimation (guess) you won't actually need to spend that much because the models are already getting a point where they don't need to get a whole lot better to be extremely helpful across many domains.
And it looks like those very helpful capabilities will continue to transfer to smaller models as well, as architectures and training regimes continue to refine.
I can fairly easily imagine a world where the only people needing to spend a lot of money on models are those that are using them to solve truly novel problems. The rest of us will get plenty of use at reasonable costs for the typical day-to-day helpful stuff.
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In my anecdotal experience there is a huge gap between GPT-5-mini which hallucinates relentlessly and Claude Opus or the latest GPTs which are fairly reliable. I'm hoping that gap can be closed with improved approaches for small models and that good reliability is achievable for LLMs without requiring absolutely mammoth computing resources.
For what it's worth, I also used GPT-5.2 (via duck.ai) this year for questions about taxes and it was helpful — which makes sense because there's an abundance of material about taxes out there to be synthesized, so a text predictor trained in that domain should do well.
[sci-fi “AGI” scenario] What if those with elite model access philosophize in a way us mere mortals can’t understand, so the elites have to prechew the ideas for us to bring them to our level, and they control the narrative?
In reality now, curious about social implications generally. Does this go beyond problem solving? Maybe the intelligence per token you get via your free library card/membership is insufficient to compete with peers in dating/employment/etc. markets, thus puts you at disadvantage.
All we need is something like Qwen3-coder-next but at Kimi K2.6 ability so it runs on laptop workstation hardware and we are set...soon?