Lol... in this case, cheese imports from China are much cheaper, just not quite as good.
And for those who are all "but dur CCP get all ur data" you can use things like AWS Bedrock (at least for earlier versions of Deepseek and Qwen for now) and have more familiar people get all your data. Or buy (at obnoxiously inflated prices) your own HW and not send your data to anyone.
The funniest part of this is that people are often talking about how LLMs are now writing 100% of their code, then also saying that they don't want to expose their code to foreign government exfiltration by using foreign models.
But, uh, if an LLM is writing 100% of your code you have no actual secret sauce to hide from anyone, so why worry about it.
Perfect for idea people. All the value is in the prompt. Ideas are important, not execution. A decade or two ago, they would have been looking for a technical co-founder.
Yeah, so true. There is no moat to your competitors using the exact same tools and prompts to generate their apps and services. Companies should be hiring/retaining creative thinkers that give them that human edge rather than laying people off under the guise of "improved efficiency"
I think we're going to see a lot of craziness in the future in this regard. Not just "secrets", but hypocrites trying to copyright and patent all the AI outputs. All kinds of rabid attempts at constructing monopolies for every half-baked idea they have tried to utter as a prompt.
Meanwhile, like I think you suggest, I would assume everyone can generate similar outputs themselves. The idea that you can claim priority on your dream prompt and lock up the market on prompt responses sounds delusional to me. It's not novel invention when you're spit-balling at the same level of abstraction as every fantasy/scifi writer who ever was.
So I also have doubts about the sustainable business model. How long will it take for this fantasy to unravel, as people discover they cannot monetize their AI outputs as much as they dreamed, and in turn cannot afford to pay the AI services they use?
My absolute nightmare is that this becomes a "too big to fail" thing and oppressive/fascist governments decide to back full regulatory capture. That instead of letting it unwind, they grant and support enforcement of an increasingly absurd and arbitrary copyright/patent regime to support this monetization scheme.
It looks like Supermicro had some DDR3 Xeon v3/v4 boards, and the first thing that came to mind was a Shenzen workstation/gaming board using recycled parts... haven't searched on that but it's bound to exist.
In my experience, 4.6, together with the Claude Code improvements was a non-linear event. A threshold was crossed that forced me to review my complete model of genAI.
If your ideas/studies/experiences with genAI for software development and engineering were from before januari, basically /clear and re-init.
Many say but I don't agree. It is clearly better now but I had basically the same view on code gen-AI a year ago as I have now. It was obvious even then that LLMs were a big deal. They were really cool then and are amazing now. But some issues are undeniably still there. Maybe they are not a question of some simple quality measure, meaning they might not be solved by simply crunching more tokens with larger context.
I actually finally got started with CC after 4.6. ;)
The output is certainly prodigious (I can do things for side projects that I'd be very unlikely to finish on my own), but it's not a coding prodigy so it hasn't dislodged me from the idea that it's outsourcing.
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